Discharge Development

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Discharge Development

A multidisciplinary pre-discharge intervention—one that hospitalists can advocate for and help lead—resulted in a 30% reduction in hospital utilization within 30 days, according to a single-center study published in the Feb. 3 Annals of Internal Medicine (2009;150(3):178-187).

Researchers, including hospitalist Jeffrey Greenwald, MD, followed 749 adult patients over 30-day periods at Boston Medical Center to test the effects of a nurse discharge advocate program. A nurse arranged follow-up appointments and confirmed medication, while a clinical pharmacist called patients two to four days after discharge to reinforce the discharge plan.

"It isn't realistic that the hospitalists become the primary-care doctors after the discharge," says Dr. Greenwald, director of HM at Boston Medical Center and associate professor of medicine at Boston University School of Medicine. "It's critical that the hospitalists take a lead role in taking responsibility for the pitfalls into which the patients are likely to fall."

Dr. Greenwald thinks hospitalists can push for interventions at their respective centers to reduce rehospitalizations. The research team already is working on a new study to determine which measures could be automated to ensure their completion.

"All we're asking is that, as a team, you put in place the common stopgaps. ... None of this is gene therapy," Dr. Greenwald says. "This is low brain activity. The problem is that it's not low resource intense, and it's not low culture change."

Dr. Greenwald plans to submit information about his study to SHM's Project BOOST (Better Outcomes for Older Adults through Safe Transitions), a mentoring program meant to help hospitalists redesign their discharge process to improve patient outcomes. He says programs like Project BOOST are helping to draw attention to post-discharge protocols at hospitals around the country.

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A multidisciplinary pre-discharge intervention—one that hospitalists can advocate for and help lead—resulted in a 30% reduction in hospital utilization within 30 days, according to a single-center study published in the Feb. 3 Annals of Internal Medicine (2009;150(3):178-187).

Researchers, including hospitalist Jeffrey Greenwald, MD, followed 749 adult patients over 30-day periods at Boston Medical Center to test the effects of a nurse discharge advocate program. A nurse arranged follow-up appointments and confirmed medication, while a clinical pharmacist called patients two to four days after discharge to reinforce the discharge plan.

"It isn't realistic that the hospitalists become the primary-care doctors after the discharge," says Dr. Greenwald, director of HM at Boston Medical Center and associate professor of medicine at Boston University School of Medicine. "It's critical that the hospitalists take a lead role in taking responsibility for the pitfalls into which the patients are likely to fall."

Dr. Greenwald thinks hospitalists can push for interventions at their respective centers to reduce rehospitalizations. The research team already is working on a new study to determine which measures could be automated to ensure their completion.

"All we're asking is that, as a team, you put in place the common stopgaps. ... None of this is gene therapy," Dr. Greenwald says. "This is low brain activity. The problem is that it's not low resource intense, and it's not low culture change."

Dr. Greenwald plans to submit information about his study to SHM's Project BOOST (Better Outcomes for Older Adults through Safe Transitions), a mentoring program meant to help hospitalists redesign their discharge process to improve patient outcomes. He says programs like Project BOOST are helping to draw attention to post-discharge protocols at hospitals around the country.

A multidisciplinary pre-discharge intervention—one that hospitalists can advocate for and help lead—resulted in a 30% reduction in hospital utilization within 30 days, according to a single-center study published in the Feb. 3 Annals of Internal Medicine (2009;150(3):178-187).

Researchers, including hospitalist Jeffrey Greenwald, MD, followed 749 adult patients over 30-day periods at Boston Medical Center to test the effects of a nurse discharge advocate program. A nurse arranged follow-up appointments and confirmed medication, while a clinical pharmacist called patients two to four days after discharge to reinforce the discharge plan.

"It isn't realistic that the hospitalists become the primary-care doctors after the discharge," says Dr. Greenwald, director of HM at Boston Medical Center and associate professor of medicine at Boston University School of Medicine. "It's critical that the hospitalists take a lead role in taking responsibility for the pitfalls into which the patients are likely to fall."

Dr. Greenwald thinks hospitalists can push for interventions at their respective centers to reduce rehospitalizations. The research team already is working on a new study to determine which measures could be automated to ensure their completion.

"All we're asking is that, as a team, you put in place the common stopgaps. ... None of this is gene therapy," Dr. Greenwald says. "This is low brain activity. The problem is that it's not low resource intense, and it's not low culture change."

Dr. Greenwald plans to submit information about his study to SHM's Project BOOST (Better Outcomes for Older Adults through Safe Transitions), a mentoring program meant to help hospitalists redesign their discharge process to improve patient outcomes. He says programs like Project BOOST are helping to draw attention to post-discharge protocols at hospitals around the country.

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Pin the Pinworm

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Chronic diarrhea and abdominal pain: Pin the pinworm

An 84‐year‐old female patient with hypertension, osteoarthritis, hypothyroidism, and remote breast cancer was admitted with complaints of generalized abdominal pain of 2 months' duration. Pain was described as noncolicky in nature and was associated with diarrhea. She reported 78 daily episodes of watery, non‐foul‐smelling diarrhea. She denied any nausea, vomiting, fever, joint pains, oral ulcers, eye redness, stool incontinence, melena, hematochezia, or weight loss. There was no history of recent travel, antibiotic use, or exposure to sick contacts. She had no risk factors for HIV infection or other sexually transmitted infections. Her social history was significant for dining out on a regular basis and living in an assisted living facility. However, she denied any relationship between her abdominal symptoms and any particular food intake or with bowel movements. She denied any anal pruritis but reported seeing white squiggly things on tissue paper after bowel movements. She denied use of over‐the‐counter laxatives or herbal supplements. None of her prescription medications had diarrhea as a major side effect. Her social history was unremarkable for smoking, alcohol use, or illicit drug use. There were no prior abdominal surgeries. The patient's physical exam showed normal vitals on presentation and was unremarkable except for vague, generalized abdominal tenderness with no involuntary guarding or rebound pain. Her initial laboratory evaluation showed normal complete blood counts with no eosinophilia and normal serum electrolytes and liver and thyroid panel. Acute‐phase reactants, erythrocyte sedimentation rate, and C‐reactive protein were not elevated. Stool evaluation was unremarkable for Clostridium difficile toxin, fat droplets, leukocytes, erythrocytes, ova, parasites, or any bacterial growth on cultures. Computed tomography scans of the abdomen and pelvis were nonrevealing. Her colonoscopic examination 1 year prior was significant only for diverticulosis.1, 2

Figure 1
Adult pinworm.
Figure 2
Pinworm eggs.

The patient was treated with loperamide as an outpatient with no relief. She was then admitted to the hospital for further diagnostic workup. Hospital workup included a Scotch tape test, which showed adult pinworms. She was treated with a single dose of 400 mg of albendazole with complete resolution of her symptoms within 2 days. No further workup was done. Patient was discharged with advice to contact her primary care doctor for reevaluation if symptoms recurred. However, the patient remained symptom free 1 year after discharge.

DISCUSSION

Enterobius vermicularis is a parasite that infects 2040 million people annually in the United States and about 200 million people worldwide. Equal infection rates are seen in all races, socioeconomic classes, and cultures.1 It is more prevalent among those in crowded living conditions. Humans are the primary natural host for the parasite, although it has been documented in cockroaches and primates. Transmission occurs via the feco‐oral route or via airborne eggs that are dislodged from contaminated clothing or bed linen. Its life cycle begins with parasite eggs hatching in the duodenum, usually within 6 hours of ingestion. They mature into adults in as little as 2 weeks and have a life span of approximately 2 months. Enterobius vermicularis normally inhabits distal small bowel including the terminal ileum, cecum, and vermiform appendix, as well as the proximal ascending colon. After copulation, an adult female will migrate to the perineum, often at night, and lay an average of 10,00015,000 eggs. These eggs mature in about 6 hours and are then transmitted to a new host by the feco‐oral route. The worms live mainly in the intestinal lumen and do not invade tissue. Hence, pinworm infections, unlike many other parasitic infections, are rarely associated with serum eosinophilia or elevated serum IgE levels.

E. vermicularis is generally considered to be an innocuous parasite. Perianal pruritis, especially during the nighttime, is the most common symptom. Patients may develop secondary bacterial infection of the irritated anal skin. Rarely, E. vermicularis infection may result in a life‐threatening illness. A literature review showed pinworm infection to be an infrequent cause of eosinophilic enterocolitis, appendicitis, intestinal obstruction, intestinal perforation, hepatic infection, urinary tract infection, sialoadenitis, salpingitis, enterocolitis, eosinophilic ileocolitis, vulvovaginitis, pelvic inflammatory disease, conditions mimicking inflammatory bowel diseases, perianal abscesses, and perianal granulomas. In a retrospective review of 180 colonoscopies done on patients with rectal bleeding or suspected inflammatory bowel disease, E. vermicularis was identified macroscopically in 31 cases (17.2%). Data collected on 23 of these cases showed that symptoms were present for a mean of 17 months; the symptoms with the highest frequency were abdominal pain (73%), rectal bleeding (62%), chronic diarrhea (50%), and weight loss (42%). None of these patients experienced perianal pruritis or developed inflammatory bowel disease during the follow‐up period of up to 5 years, although 21 patients demonstrated histopathological evidence of nonspecific colitis.6

The gold standard for diagnosing E. vermicularis infection is by visualizing the worms directly or by examination of the parasitic eggs under a microscope. The Scotch tape test is a simple, inexpensive, and quick way for confirming the infection. It is performed by doubling clear cellophane Scotch tape onto a wooden stick so that the sticky side points outward and pressing it against the perianal skin. The kidney‐bean‐shaped eggs (50 25 m) will stick to the tape and can then be directly visualized under a microscope. Pinworms are most active during the night, and eggs are deposited around the perianal region and are best recovered before defecation, early in the morning. The sensitivity of this test is 90% if done on 3 consecutive mornings and goes up to 99% when performed on 5 consecutive mornings.2, 3 Female adult worms are pin‐shaped, about 813 mm long, and white in color. They may be seen by direct visualization in the perianal region or more invasively by an anoscopic or colonoscopic examination. However, endoscopic examination may sometimes give false‐negative results as the worms are small, (ie, only a few millimeters in length) and may be missed if the endoscopist is not actively looking for them.

A single oral dose of benzimidazoles (100 mg of mebendazole or 400 mg of albendazole) results in a cure of rate of 95% and 100%, respectively. Despite the high initial cure rates, reinfection remains common; hence, a second dose 12 weeks after the initial treatment is often given to prevent it.4, 5 Pyrantel pamoate and piperazine are alternate treatments. However, they have lower efficacy and are more toxic than benzimidazoles.

Close contacts such as household members are often concurrently infected, and treatment of the remaining household members or of the group institution is also indicated. All bedding and clothes should be laundered. Personal hygiene such as fingernail clipping, frequent hand washing, and bathing should also be encouraged.

Although the pinworm's entire life cycle is in the human intestinal tract, gastrointestinal symptoms have seldom been reported. However, this may be because of underreporting. Given the increasing number of patients living in institutionalized environments such as nursing homes and assisted living, it is important to consider the possibility of E. vermicularis infection early on in a diagnostic workup of patients presenting with symptoms of colitis, even when not accompanied by anal pruritis. In a patient presenting with symptoms of inflammatory bowel disease with histopathological evaluation of nonspecific colitis should prompt clinicians to consider E. vermicularis infection.6 On the other hand, in patients who fail to respond to antiparasitic therapy or those who present with weight loss, change in bowel habits, or melena, colonscopic examination is warranted. Considering pinworm infection early during evaluation of nonspecific abdominal complaints may avoid an unnecessary and expensive diagnostic workup.

KEY POINTS

  • Recognize early on that Enterobius vermicularis infection is an important differential diagnosis for patients presenting with symptoms of colitis, thus avoiding unnecessary, expensive, and potentially harmful invasive testing.

  • Recognize that a simple and inexpensive Scotch tape test and/or direct visualization is an easy and effective way of confirming diagnosis and that stool examination may be unhelpful.

  • Recognize that reinfection may be prevented using a second dose of the antiparasitic drug.

References
  1. Russell LJ.The pinworm, Enterobius vermicularis.Prim Care.1991;18:1324.
  2. Celiksoz A,Guler N,Guler G,Oztop AY,Degerli S.Prevalence of intestinal parasites in three socioeconomically‐different regions of Sivas, Turkey.J Health Popul Nutr.2005;23:184191.
  3. Matsushita M,Takakuwa H,Nishio A,Tominaga M.Pinworm infection.Gastrointest Endosc.2001;53:210.
  4. Lormans JA,Wesel AJ,Vanparus OF.Mebendazole (R 17635) in enterobiasis. A clinical trial in mental retardates.Chemotherapy.1975;21:255260.
  5. Zhang D,Zhang X,Tang Z, et al.Field trials on the efficacy of albendazole composite against intestinal nematodiasis.Chung Kuo Chi Sheng Chung Hsueh Yu Chi Sheng Chung Ping Tsa Chih.1998;16:15.
  6. Jardine M,Kokai GK,Dalzell AM.Enterobius vermicularis and colitis in children.J Pediatr Gastroenterol Nutr.2006;43:610612.
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Journal of Hospital Medicine - 4(2)
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137-139
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, pinworm, colitis, abdominal pain, diarrhea
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An 84‐year‐old female patient with hypertension, osteoarthritis, hypothyroidism, and remote breast cancer was admitted with complaints of generalized abdominal pain of 2 months' duration. Pain was described as noncolicky in nature and was associated with diarrhea. She reported 78 daily episodes of watery, non‐foul‐smelling diarrhea. She denied any nausea, vomiting, fever, joint pains, oral ulcers, eye redness, stool incontinence, melena, hematochezia, or weight loss. There was no history of recent travel, antibiotic use, or exposure to sick contacts. She had no risk factors for HIV infection or other sexually transmitted infections. Her social history was significant for dining out on a regular basis and living in an assisted living facility. However, she denied any relationship between her abdominal symptoms and any particular food intake or with bowel movements. She denied any anal pruritis but reported seeing white squiggly things on tissue paper after bowel movements. She denied use of over‐the‐counter laxatives or herbal supplements. None of her prescription medications had diarrhea as a major side effect. Her social history was unremarkable for smoking, alcohol use, or illicit drug use. There were no prior abdominal surgeries. The patient's physical exam showed normal vitals on presentation and was unremarkable except for vague, generalized abdominal tenderness with no involuntary guarding or rebound pain. Her initial laboratory evaluation showed normal complete blood counts with no eosinophilia and normal serum electrolytes and liver and thyroid panel. Acute‐phase reactants, erythrocyte sedimentation rate, and C‐reactive protein were not elevated. Stool evaluation was unremarkable for Clostridium difficile toxin, fat droplets, leukocytes, erythrocytes, ova, parasites, or any bacterial growth on cultures. Computed tomography scans of the abdomen and pelvis were nonrevealing. Her colonoscopic examination 1 year prior was significant only for diverticulosis.1, 2

Figure 1
Adult pinworm.
Figure 2
Pinworm eggs.

The patient was treated with loperamide as an outpatient with no relief. She was then admitted to the hospital for further diagnostic workup. Hospital workup included a Scotch tape test, which showed adult pinworms. She was treated with a single dose of 400 mg of albendazole with complete resolution of her symptoms within 2 days. No further workup was done. Patient was discharged with advice to contact her primary care doctor for reevaluation if symptoms recurred. However, the patient remained symptom free 1 year after discharge.

DISCUSSION

Enterobius vermicularis is a parasite that infects 2040 million people annually in the United States and about 200 million people worldwide. Equal infection rates are seen in all races, socioeconomic classes, and cultures.1 It is more prevalent among those in crowded living conditions. Humans are the primary natural host for the parasite, although it has been documented in cockroaches and primates. Transmission occurs via the feco‐oral route or via airborne eggs that are dislodged from contaminated clothing or bed linen. Its life cycle begins with parasite eggs hatching in the duodenum, usually within 6 hours of ingestion. They mature into adults in as little as 2 weeks and have a life span of approximately 2 months. Enterobius vermicularis normally inhabits distal small bowel including the terminal ileum, cecum, and vermiform appendix, as well as the proximal ascending colon. After copulation, an adult female will migrate to the perineum, often at night, and lay an average of 10,00015,000 eggs. These eggs mature in about 6 hours and are then transmitted to a new host by the feco‐oral route. The worms live mainly in the intestinal lumen and do not invade tissue. Hence, pinworm infections, unlike many other parasitic infections, are rarely associated with serum eosinophilia or elevated serum IgE levels.

E. vermicularis is generally considered to be an innocuous parasite. Perianal pruritis, especially during the nighttime, is the most common symptom. Patients may develop secondary bacterial infection of the irritated anal skin. Rarely, E. vermicularis infection may result in a life‐threatening illness. A literature review showed pinworm infection to be an infrequent cause of eosinophilic enterocolitis, appendicitis, intestinal obstruction, intestinal perforation, hepatic infection, urinary tract infection, sialoadenitis, salpingitis, enterocolitis, eosinophilic ileocolitis, vulvovaginitis, pelvic inflammatory disease, conditions mimicking inflammatory bowel diseases, perianal abscesses, and perianal granulomas. In a retrospective review of 180 colonoscopies done on patients with rectal bleeding or suspected inflammatory bowel disease, E. vermicularis was identified macroscopically in 31 cases (17.2%). Data collected on 23 of these cases showed that symptoms were present for a mean of 17 months; the symptoms with the highest frequency were abdominal pain (73%), rectal bleeding (62%), chronic diarrhea (50%), and weight loss (42%). None of these patients experienced perianal pruritis or developed inflammatory bowel disease during the follow‐up period of up to 5 years, although 21 patients demonstrated histopathological evidence of nonspecific colitis.6

The gold standard for diagnosing E. vermicularis infection is by visualizing the worms directly or by examination of the parasitic eggs under a microscope. The Scotch tape test is a simple, inexpensive, and quick way for confirming the infection. It is performed by doubling clear cellophane Scotch tape onto a wooden stick so that the sticky side points outward and pressing it against the perianal skin. The kidney‐bean‐shaped eggs (50 25 m) will stick to the tape and can then be directly visualized under a microscope. Pinworms are most active during the night, and eggs are deposited around the perianal region and are best recovered before defecation, early in the morning. The sensitivity of this test is 90% if done on 3 consecutive mornings and goes up to 99% when performed on 5 consecutive mornings.2, 3 Female adult worms are pin‐shaped, about 813 mm long, and white in color. They may be seen by direct visualization in the perianal region or more invasively by an anoscopic or colonoscopic examination. However, endoscopic examination may sometimes give false‐negative results as the worms are small, (ie, only a few millimeters in length) and may be missed if the endoscopist is not actively looking for them.

A single oral dose of benzimidazoles (100 mg of mebendazole or 400 mg of albendazole) results in a cure of rate of 95% and 100%, respectively. Despite the high initial cure rates, reinfection remains common; hence, a second dose 12 weeks after the initial treatment is often given to prevent it.4, 5 Pyrantel pamoate and piperazine are alternate treatments. However, they have lower efficacy and are more toxic than benzimidazoles.

Close contacts such as household members are often concurrently infected, and treatment of the remaining household members or of the group institution is also indicated. All bedding and clothes should be laundered. Personal hygiene such as fingernail clipping, frequent hand washing, and bathing should also be encouraged.

Although the pinworm's entire life cycle is in the human intestinal tract, gastrointestinal symptoms have seldom been reported. However, this may be because of underreporting. Given the increasing number of patients living in institutionalized environments such as nursing homes and assisted living, it is important to consider the possibility of E. vermicularis infection early on in a diagnostic workup of patients presenting with symptoms of colitis, even when not accompanied by anal pruritis. In a patient presenting with symptoms of inflammatory bowel disease with histopathological evaluation of nonspecific colitis should prompt clinicians to consider E. vermicularis infection.6 On the other hand, in patients who fail to respond to antiparasitic therapy or those who present with weight loss, change in bowel habits, or melena, colonscopic examination is warranted. Considering pinworm infection early during evaluation of nonspecific abdominal complaints may avoid an unnecessary and expensive diagnostic workup.

KEY POINTS

  • Recognize early on that Enterobius vermicularis infection is an important differential diagnosis for patients presenting with symptoms of colitis, thus avoiding unnecessary, expensive, and potentially harmful invasive testing.

  • Recognize that a simple and inexpensive Scotch tape test and/or direct visualization is an easy and effective way of confirming diagnosis and that stool examination may be unhelpful.

  • Recognize that reinfection may be prevented using a second dose of the antiparasitic drug.

An 84‐year‐old female patient with hypertension, osteoarthritis, hypothyroidism, and remote breast cancer was admitted with complaints of generalized abdominal pain of 2 months' duration. Pain was described as noncolicky in nature and was associated with diarrhea. She reported 78 daily episodes of watery, non‐foul‐smelling diarrhea. She denied any nausea, vomiting, fever, joint pains, oral ulcers, eye redness, stool incontinence, melena, hematochezia, or weight loss. There was no history of recent travel, antibiotic use, or exposure to sick contacts. She had no risk factors for HIV infection or other sexually transmitted infections. Her social history was significant for dining out on a regular basis and living in an assisted living facility. However, she denied any relationship between her abdominal symptoms and any particular food intake or with bowel movements. She denied any anal pruritis but reported seeing white squiggly things on tissue paper after bowel movements. She denied use of over‐the‐counter laxatives or herbal supplements. None of her prescription medications had diarrhea as a major side effect. Her social history was unremarkable for smoking, alcohol use, or illicit drug use. There were no prior abdominal surgeries. The patient's physical exam showed normal vitals on presentation and was unremarkable except for vague, generalized abdominal tenderness with no involuntary guarding or rebound pain. Her initial laboratory evaluation showed normal complete blood counts with no eosinophilia and normal serum electrolytes and liver and thyroid panel. Acute‐phase reactants, erythrocyte sedimentation rate, and C‐reactive protein were not elevated. Stool evaluation was unremarkable for Clostridium difficile toxin, fat droplets, leukocytes, erythrocytes, ova, parasites, or any bacterial growth on cultures. Computed tomography scans of the abdomen and pelvis were nonrevealing. Her colonoscopic examination 1 year prior was significant only for diverticulosis.1, 2

Figure 1
Adult pinworm.
Figure 2
Pinworm eggs.

The patient was treated with loperamide as an outpatient with no relief. She was then admitted to the hospital for further diagnostic workup. Hospital workup included a Scotch tape test, which showed adult pinworms. She was treated with a single dose of 400 mg of albendazole with complete resolution of her symptoms within 2 days. No further workup was done. Patient was discharged with advice to contact her primary care doctor for reevaluation if symptoms recurred. However, the patient remained symptom free 1 year after discharge.

DISCUSSION

Enterobius vermicularis is a parasite that infects 2040 million people annually in the United States and about 200 million people worldwide. Equal infection rates are seen in all races, socioeconomic classes, and cultures.1 It is more prevalent among those in crowded living conditions. Humans are the primary natural host for the parasite, although it has been documented in cockroaches and primates. Transmission occurs via the feco‐oral route or via airborne eggs that are dislodged from contaminated clothing or bed linen. Its life cycle begins with parasite eggs hatching in the duodenum, usually within 6 hours of ingestion. They mature into adults in as little as 2 weeks and have a life span of approximately 2 months. Enterobius vermicularis normally inhabits distal small bowel including the terminal ileum, cecum, and vermiform appendix, as well as the proximal ascending colon. After copulation, an adult female will migrate to the perineum, often at night, and lay an average of 10,00015,000 eggs. These eggs mature in about 6 hours and are then transmitted to a new host by the feco‐oral route. The worms live mainly in the intestinal lumen and do not invade tissue. Hence, pinworm infections, unlike many other parasitic infections, are rarely associated with serum eosinophilia or elevated serum IgE levels.

E. vermicularis is generally considered to be an innocuous parasite. Perianal pruritis, especially during the nighttime, is the most common symptom. Patients may develop secondary bacterial infection of the irritated anal skin. Rarely, E. vermicularis infection may result in a life‐threatening illness. A literature review showed pinworm infection to be an infrequent cause of eosinophilic enterocolitis, appendicitis, intestinal obstruction, intestinal perforation, hepatic infection, urinary tract infection, sialoadenitis, salpingitis, enterocolitis, eosinophilic ileocolitis, vulvovaginitis, pelvic inflammatory disease, conditions mimicking inflammatory bowel diseases, perianal abscesses, and perianal granulomas. In a retrospective review of 180 colonoscopies done on patients with rectal bleeding or suspected inflammatory bowel disease, E. vermicularis was identified macroscopically in 31 cases (17.2%). Data collected on 23 of these cases showed that symptoms were present for a mean of 17 months; the symptoms with the highest frequency were abdominal pain (73%), rectal bleeding (62%), chronic diarrhea (50%), and weight loss (42%). None of these patients experienced perianal pruritis or developed inflammatory bowel disease during the follow‐up period of up to 5 years, although 21 patients demonstrated histopathological evidence of nonspecific colitis.6

The gold standard for diagnosing E. vermicularis infection is by visualizing the worms directly or by examination of the parasitic eggs under a microscope. The Scotch tape test is a simple, inexpensive, and quick way for confirming the infection. It is performed by doubling clear cellophane Scotch tape onto a wooden stick so that the sticky side points outward and pressing it against the perianal skin. The kidney‐bean‐shaped eggs (50 25 m) will stick to the tape and can then be directly visualized under a microscope. Pinworms are most active during the night, and eggs are deposited around the perianal region and are best recovered before defecation, early in the morning. The sensitivity of this test is 90% if done on 3 consecutive mornings and goes up to 99% when performed on 5 consecutive mornings.2, 3 Female adult worms are pin‐shaped, about 813 mm long, and white in color. They may be seen by direct visualization in the perianal region or more invasively by an anoscopic or colonoscopic examination. However, endoscopic examination may sometimes give false‐negative results as the worms are small, (ie, only a few millimeters in length) and may be missed if the endoscopist is not actively looking for them.

A single oral dose of benzimidazoles (100 mg of mebendazole or 400 mg of albendazole) results in a cure of rate of 95% and 100%, respectively. Despite the high initial cure rates, reinfection remains common; hence, a second dose 12 weeks after the initial treatment is often given to prevent it.4, 5 Pyrantel pamoate and piperazine are alternate treatments. However, they have lower efficacy and are more toxic than benzimidazoles.

Close contacts such as household members are often concurrently infected, and treatment of the remaining household members or of the group institution is also indicated. All bedding and clothes should be laundered. Personal hygiene such as fingernail clipping, frequent hand washing, and bathing should also be encouraged.

Although the pinworm's entire life cycle is in the human intestinal tract, gastrointestinal symptoms have seldom been reported. However, this may be because of underreporting. Given the increasing number of patients living in institutionalized environments such as nursing homes and assisted living, it is important to consider the possibility of E. vermicularis infection early on in a diagnostic workup of patients presenting with symptoms of colitis, even when not accompanied by anal pruritis. In a patient presenting with symptoms of inflammatory bowel disease with histopathological evaluation of nonspecific colitis should prompt clinicians to consider E. vermicularis infection.6 On the other hand, in patients who fail to respond to antiparasitic therapy or those who present with weight loss, change in bowel habits, or melena, colonscopic examination is warranted. Considering pinworm infection early during evaluation of nonspecific abdominal complaints may avoid an unnecessary and expensive diagnostic workup.

KEY POINTS

  • Recognize early on that Enterobius vermicularis infection is an important differential diagnosis for patients presenting with symptoms of colitis, thus avoiding unnecessary, expensive, and potentially harmful invasive testing.

  • Recognize that a simple and inexpensive Scotch tape test and/or direct visualization is an easy and effective way of confirming diagnosis and that stool examination may be unhelpful.

  • Recognize that reinfection may be prevented using a second dose of the antiparasitic drug.

References
  1. Russell LJ.The pinworm, Enterobius vermicularis.Prim Care.1991;18:1324.
  2. Celiksoz A,Guler N,Guler G,Oztop AY,Degerli S.Prevalence of intestinal parasites in three socioeconomically‐different regions of Sivas, Turkey.J Health Popul Nutr.2005;23:184191.
  3. Matsushita M,Takakuwa H,Nishio A,Tominaga M.Pinworm infection.Gastrointest Endosc.2001;53:210.
  4. Lormans JA,Wesel AJ,Vanparus OF.Mebendazole (R 17635) in enterobiasis. A clinical trial in mental retardates.Chemotherapy.1975;21:255260.
  5. Zhang D,Zhang X,Tang Z, et al.Field trials on the efficacy of albendazole composite against intestinal nematodiasis.Chung Kuo Chi Sheng Chung Hsueh Yu Chi Sheng Chung Ping Tsa Chih.1998;16:15.
  6. Jardine M,Kokai GK,Dalzell AM.Enterobius vermicularis and colitis in children.J Pediatr Gastroenterol Nutr.2006;43:610612.
References
  1. Russell LJ.The pinworm, Enterobius vermicularis.Prim Care.1991;18:1324.
  2. Celiksoz A,Guler N,Guler G,Oztop AY,Degerli S.Prevalence of intestinal parasites in three socioeconomically‐different regions of Sivas, Turkey.J Health Popul Nutr.2005;23:184191.
  3. Matsushita M,Takakuwa H,Nishio A,Tominaga M.Pinworm infection.Gastrointest Endosc.2001;53:210.
  4. Lormans JA,Wesel AJ,Vanparus OF.Mebendazole (R 17635) in enterobiasis. A clinical trial in mental retardates.Chemotherapy.1975;21:255260.
  5. Zhang D,Zhang X,Tang Z, et al.Field trials on the efficacy of albendazole composite against intestinal nematodiasis.Chung Kuo Chi Sheng Chung Hsueh Yu Chi Sheng Chung Ping Tsa Chih.1998;16:15.
  6. Jardine M,Kokai GK,Dalzell AM.Enterobius vermicularis and colitis in children.J Pediatr Gastroenterol Nutr.2006;43:610612.
Issue
Journal of Hospital Medicine - 4(2)
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Journal of Hospital Medicine - 4(2)
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137-139
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137-139
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Chronic diarrhea and abdominal pain: Pin the pinworm
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Chronic diarrhea and abdominal pain: Pin the pinworm
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, pinworm, colitis, abdominal pain, diarrhea
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Polymorphic Ventricular Tachycardia?

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Polymorphic ventricular tachycardia?

The medical team was called emergently from the telemetry station in response to the tracing shown in Figure 1. The patient was a 65‐year‐old woman with paroxysmal atrial fibrillation and no structural heart disease. The medical team arrived at the bedside to find the patient chatting with her family with a heart rate of 95 and blood pressure of 144/92. The patient had been awake and alert throughout the episode. Initial inspection of the rhythm strip (Figure 1) shows what appears to be nonsustained polymorphic ventricular tachycardia followed by normal QRS complexes. Upon careful inspection of the V1 (lower) tracing, the QRS complexes can be marched backward through the wide complexes to the beginning of the strip, as shown in Figure 2 (arrows), indicating that the wide complexes are artifact.

Figure 1
Telemetered leads II and VI rhythm strips suggesting the presence of a polymorphic ventricular arrhythmia.
Figure 2
The same rhythm strip as Fig. 1 with arrows indicating the QRS complexes marching through the apparent ventricular arrhythmia.

The presence of artifact is confirmed in Figure 3, in which the arterial blood pressure (ABP) waveform follows the QRS complexes. In polymorphic ventricular tachycardia, the ABP would have fallen and the waveform would have been chaotic. Failure to differentiate between artifact and ventricular tachycardia can lead to inappropriate management.1, 2 The artifact in this case is likely due to electrode motion and emphasizes the importance of using all the available data when evaluating rhythm strips. Critical evaluation of multiple electrocardiographic (ECG) leads is the cornerstone of diagnosis; continuous arterial monitoring, if available, can be useful for confirmation.

Figure 3
Continuously recorded telemetered leads II and VI rhythm strips with simultaneous arterial blood pressure tracings. Arrows indicate the constant, regular arterial waveform.
References
  1. Goldberger ZD,Rho RW,Page RL.Approach to the diagnosis and initial management of the stable adult patient with a wide complex tachycardia.Am J Cardiol.2008;101(10):14561466.
  2. Knight BP,Pelosi F,Michaud GF,Strickberger SA,Morady F.Physician interpretation of electrocardiographic artifact that mimics ventricular tachycardia.Am J Med.2001;110(5):335338.
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Journal of Hospital Medicine - 4(2)
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The medical team was called emergently from the telemetry station in response to the tracing shown in Figure 1. The patient was a 65‐year‐old woman with paroxysmal atrial fibrillation and no structural heart disease. The medical team arrived at the bedside to find the patient chatting with her family with a heart rate of 95 and blood pressure of 144/92. The patient had been awake and alert throughout the episode. Initial inspection of the rhythm strip (Figure 1) shows what appears to be nonsustained polymorphic ventricular tachycardia followed by normal QRS complexes. Upon careful inspection of the V1 (lower) tracing, the QRS complexes can be marched backward through the wide complexes to the beginning of the strip, as shown in Figure 2 (arrows), indicating that the wide complexes are artifact.

Figure 1
Telemetered leads II and VI rhythm strips suggesting the presence of a polymorphic ventricular arrhythmia.
Figure 2
The same rhythm strip as Fig. 1 with arrows indicating the QRS complexes marching through the apparent ventricular arrhythmia.

The presence of artifact is confirmed in Figure 3, in which the arterial blood pressure (ABP) waveform follows the QRS complexes. In polymorphic ventricular tachycardia, the ABP would have fallen and the waveform would have been chaotic. Failure to differentiate between artifact and ventricular tachycardia can lead to inappropriate management.1, 2 The artifact in this case is likely due to electrode motion and emphasizes the importance of using all the available data when evaluating rhythm strips. Critical evaluation of multiple electrocardiographic (ECG) leads is the cornerstone of diagnosis; continuous arterial monitoring, if available, can be useful for confirmation.

Figure 3
Continuously recorded telemetered leads II and VI rhythm strips with simultaneous arterial blood pressure tracings. Arrows indicate the constant, regular arterial waveform.

The medical team was called emergently from the telemetry station in response to the tracing shown in Figure 1. The patient was a 65‐year‐old woman with paroxysmal atrial fibrillation and no structural heart disease. The medical team arrived at the bedside to find the patient chatting with her family with a heart rate of 95 and blood pressure of 144/92. The patient had been awake and alert throughout the episode. Initial inspection of the rhythm strip (Figure 1) shows what appears to be nonsustained polymorphic ventricular tachycardia followed by normal QRS complexes. Upon careful inspection of the V1 (lower) tracing, the QRS complexes can be marched backward through the wide complexes to the beginning of the strip, as shown in Figure 2 (arrows), indicating that the wide complexes are artifact.

Figure 1
Telemetered leads II and VI rhythm strips suggesting the presence of a polymorphic ventricular arrhythmia.
Figure 2
The same rhythm strip as Fig. 1 with arrows indicating the QRS complexes marching through the apparent ventricular arrhythmia.

The presence of artifact is confirmed in Figure 3, in which the arterial blood pressure (ABP) waveform follows the QRS complexes. In polymorphic ventricular tachycardia, the ABP would have fallen and the waveform would have been chaotic. Failure to differentiate between artifact and ventricular tachycardia can lead to inappropriate management.1, 2 The artifact in this case is likely due to electrode motion and emphasizes the importance of using all the available data when evaluating rhythm strips. Critical evaluation of multiple electrocardiographic (ECG) leads is the cornerstone of diagnosis; continuous arterial monitoring, if available, can be useful for confirmation.

Figure 3
Continuously recorded telemetered leads II and VI rhythm strips with simultaneous arterial blood pressure tracings. Arrows indicate the constant, regular arterial waveform.
References
  1. Goldberger ZD,Rho RW,Page RL.Approach to the diagnosis and initial management of the stable adult patient with a wide complex tachycardia.Am J Cardiol.2008;101(10):14561466.
  2. Knight BP,Pelosi F,Michaud GF,Strickberger SA,Morady F.Physician interpretation of electrocardiographic artifact that mimics ventricular tachycardia.Am J Med.2001;110(5):335338.
References
  1. Goldberger ZD,Rho RW,Page RL.Approach to the diagnosis and initial management of the stable adult patient with a wide complex tachycardia.Am J Cardiol.2008;101(10):14561466.
  2. Knight BP,Pelosi F,Michaud GF,Strickberger SA,Morady F.Physician interpretation of electrocardiographic artifact that mimics ventricular tachycardia.Am J Med.2001;110(5):335338.
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CIPNM in Disseminated Cryptococcal Infection

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Display Headline
Critical illness polyneuromyopathy in a patient with disseminated cryptococcal infection

Critical illness polyneuromyopathy (CIPNM) is frequent among critically‐ill patients.1, 2 CIPNM develops in critically‐ill patients with systemic inflammatory response syndrome, sepsis, or multiple organ failure. We report a case of disseminated cryptococcal infection in a critically‐ill patient who presented with treatment‐refractory cellulitis. His recovery was complicated by difficulty in weaning from mechanical ventilation due to CIPNM.

CASE REPORT

A 49‐year‐old man developed skin swelling and tenderness over his right thigh 1 month prior to admission at a local hospital. He was a pigeon breeder by profession. His medical history was significant for hypertension and poorly controlled diabetes mellitus. His medications included prednisolone (15 mg per day), which he was taking for his chronic arthritis for about 6 months. He was admitted for treatment of cellulitis. Despite antibiotic treatment with ampicillin and sulbactam, his skin lesion became necrotic and gangrenous. Wound healing remained poor even after wound debridement. Patient developed dyspnea 2 weeks after admission and was transferred to the intensive care unit (ICU) of National Taiwan University Hospital for further management.

On transfer to ICU, he was drowsy and had an ear temperature of 37.1C, pulse rate of 108 beats/minute, blood pressure of 132/82 mm Hg, and respiratory rate of 20 breaths/minutes. His pupils were isocoric with prompt light reflex. His right thigh wound was 6 cm in length with eschar formation and focal erythema. His total white blood cell count was 14.08 109 cells/L with 72.2% polymorphonuclear leukocytes. His blood glucose level was 326 mg/dL. Other blood work, including hemoglobin, coagulation studies, and renal and liver function tests, were within normal range. Urinalysis was positive for glucose, but there was no hematuria, pyuria, or ketonuria. The chest radiograph (Figure 1) showed small nodules and peripheral infiltrates in both lung fields. Chest computerized tomogram (CT) scans found multiple cavitated lung nodules (Figure 2A,B). Human immunodeficiency virus (HIV) screening test was negative.

Figure 1
Chest radiograph on the admission day showing small nodules and peripheral infiltrates in bilateral lungs.
Figure 2
(A,B) Chest computerized tomogram (CT) scans showing multiple cavitated nodules.

Soon after transfer to the ICU, the patient developed respiratory distress and became hemodynamically unstable. He was intubated and resuscitation efforts were started to stabilize him. Yeast‐like organisms were found in the debrided tissue. CT‐guided biopsy of the pulmonary nodules also found yeast‐like organisms. Tissue cultures of skin wound and lung biopsy grew Cryptococcus neoformans. He was diagnosed with disseminated cryptococcal infection and Amphotericin B was started. His hemodynamic status stabilized 2 days after the start of Amphotericin B. Follow‐up chest radiograph 1 week after starting Amphotericin B treatment showed resolution of pulmonary nodules. His right thigh skin lesion also healed gradually.

Unfortunately, he developed severe weakness of all extremities on the fourteenth ICU day, and had difficulty weaning from mechanical ventilation. Neurological examination found diffuse hyporeflexia. The nerve conduction velocity (NCV) study showed decreased amplitude in nerve conduction, with normal velocity. Electromyogram (EMG) found diffuse muscular fibrillation. Based on these findings, CIPNM was diagnosed. Patient underwent tracheostomy on the twenty‐sixth ICU day due to the need for prolonged mechanical ventilation. His antifungal therapy was changed to intravenous fluconazole 600 mg per day. Blood glucose levels were controlled with continuous insulin infusion and insulin dose was titrated to keep the blood glucose below 120 mg/dL. He was finally weaned from mechanical ventilation on the forty‐seventh day of ICU admission, and was transferred to the general ward. With physical therapy, he resumed his daily activities and was discharged from the hospital.

DISCUSSION

Cryptococcus rarely causes disseminated infection in healthy individuals. The vast majority of patients with cryptococcosis are immunocompromised due to conditions such as acquired immunodeficiency syndrome, prolonged treatment with corticosteroids, organ transplantation, malignancy, or diabetes mellitus.3, 4 The patient in this report had 2 of the documented risk factors. In a study of 52 disseminated cryptococcosis patients, the most prevalent underlying condition was HIV infection (46%). Out of these 52 patients, 28 were HIV‐negative, and only 3 of them had no predisposing condition.4 Cutaneous cryptococcus infection could be a manifestation of disseminated cryptococcal infection, or may be a primary disease that would evolve into systemic disease several months later.5, 6 The incidence of primary cutaneous cryptococcosis is much lower than systemic disease with cutaneous manifestation. Cellulitis, which is refractory to treatment with traditional antibacterial agents, should lead to consideration of fungal cellulites, such as cutaneous cryptococcosis or aspergillosis. Once cryptococcal cellulitis is diagnosed, other foci of cryptococcal infection should be sought.

CIPNM includes myopathies, acute neuropathies, neuromuscular transmission defects, or any combination of these disorders.2, 7 CIPNM might arise in ICU patients who have systemic inflammatory response syndrome (SIRS), sepsis, or multiple organ failure. In patients with new onset limb weakness, disuse hyporeflexia, and difficulty in weaning from mechanical ventilation, CIPNM should be among the differential diagnoses. In 1 prospective trial, de Letter et al.8 found CIPNM incidence of 33% in 98 ICU patients. A high APACHE III score, SIRS, and the use of aminoglycoside antibiotics are significant risk factors for the development of CIPNM. In various studies, the incidence of CIPNM ranges from 13% to 76%.2, 710

The definitive diagnosis of CIPNM is established by EMG and NCV studies, which are characterized by (1) reduced amplitudes of compound muscles and sensory action potentials, (2) relatively normal conduction studies, and (3) widespread fibrillations and sharp waves.2 The mean mortality of patients who have developed CIPNM is 35%, with a range from 0% to 73%. About 45% of patients completely recover from CIPNM within 6 weeks to 12 months (with a mean duration of 4.5 months), with good supportive care, provided the underlying condition has been treated.2, 9 There is little evidence to support a specific treatment modality for CIPNM. Mohr et al.1 reported that intravenous immunoglobulin may prevent or ameliorate CIPNM in the ICU, but more prospective and placebo‐controlled studies are needed to confirm their result. In recent studies,11 strict blood glucose control with insulin was found to reduce the risk of CIPNM and duration of mechanical ventilation in both medical and surgical ICU patients.

In conclusion, CIPNM occurs frequently in ICU patients with SIRS, sepsis, or multiple organ failure, leading to prolonged ventilator dependence and increased morbidity and mortality. Risk factor prevention and intensive insulin treatment may reduce the incident of CIPNM and the duration of mechanical ventilation in ICU patients.

References
  1. Mohr M,Englisch L,Roth A,Burchardi H,Zielmann S.Effects of early treatment with immunoglobulin on critical illness polyneuropathy following multiple organ failure and gram‐negative sepsis.Intensive Care Med.1997;23:11441149.
  2. Visser LH.Critical illness polyneuropathy and myopathy: clinical features, risk factors and prognosis.Eur J Neurol.2006;13:12031212.
  3. Diamond RD.Cryptococcus neoformans. In:Mandell GL,Bennett JE,Dolin R, eds.Principles and Practice of Infectious Diseases.Philadelphia:Churchill Livingstone;2000:27072718.
  4. Jean SS,Fang CT,Shau WY, et al.Cryptococcameia: clinical features and prognostic factors.Q J Med.2002;95:511518.
  5. Bauza A,Redondo P,Rubio M.Primary cutaneous cryptococcal cellulitis secondary to insect bite in an immunosuppressed patient after liver transplantation.Clin Exp Dermatol.2005;30:241243.
  6. Song IC,Hunter JG.Primary cutaneous cryptococcosis as the presenting manifestation of AIDS.Plast Reconstr Surg.1992;90:10651067.
  7. Garnacho‐Montero J,Amaya‐Villar R,Garcia‐Garmendia JL,Madrazo‐Osuna J,Ortiz‐Leyba C.Effect of critical illness polyneuropathy on the withdrawal from mechanical ventilation and the length of stay in septic patients.Crit Care Med.2005;33:349354.
  8. De Letter MA,van Doorn PA,Savelkoul HF, et al.Critical illness polyneuropathy and myopathy (CIPNM): evidence for local immune activation by cytokine‐expression in the muscle tissue.J Neuroimmunol.2000;106:206213.
  9. Lorin S,Nierman DM.Critical illness neuromuscular abnormalities.Crit Care Clin.2002;18:553568.
  10. Maher J,Rutledge F,Remtulla H,Parkes A,Bernardi L,Bolton CF.Neuromuscular disorders associated with failure to wean from the ventilator.Intensive Care Med.1995;21:737743.
  11. Hermans G,Wilmer A,Meersseman W, et al.Impact of intensive insulin therapy on neuromuscular complications and ventilator‐dependency in MICU.Am J Respir Crit Care Med.2007;175:480489.
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Journal of Hospital Medicine - 4(2)
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E3-E6
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critical illness polyneuromyopathy, cryptococcus, insulin therapy
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Critical illness polyneuromyopathy (CIPNM) is frequent among critically‐ill patients.1, 2 CIPNM develops in critically‐ill patients with systemic inflammatory response syndrome, sepsis, or multiple organ failure. We report a case of disseminated cryptococcal infection in a critically‐ill patient who presented with treatment‐refractory cellulitis. His recovery was complicated by difficulty in weaning from mechanical ventilation due to CIPNM.

CASE REPORT

A 49‐year‐old man developed skin swelling and tenderness over his right thigh 1 month prior to admission at a local hospital. He was a pigeon breeder by profession. His medical history was significant for hypertension and poorly controlled diabetes mellitus. His medications included prednisolone (15 mg per day), which he was taking for his chronic arthritis for about 6 months. He was admitted for treatment of cellulitis. Despite antibiotic treatment with ampicillin and sulbactam, his skin lesion became necrotic and gangrenous. Wound healing remained poor even after wound debridement. Patient developed dyspnea 2 weeks after admission and was transferred to the intensive care unit (ICU) of National Taiwan University Hospital for further management.

On transfer to ICU, he was drowsy and had an ear temperature of 37.1C, pulse rate of 108 beats/minute, blood pressure of 132/82 mm Hg, and respiratory rate of 20 breaths/minutes. His pupils were isocoric with prompt light reflex. His right thigh wound was 6 cm in length with eschar formation and focal erythema. His total white blood cell count was 14.08 109 cells/L with 72.2% polymorphonuclear leukocytes. His blood glucose level was 326 mg/dL. Other blood work, including hemoglobin, coagulation studies, and renal and liver function tests, were within normal range. Urinalysis was positive for glucose, but there was no hematuria, pyuria, or ketonuria. The chest radiograph (Figure 1) showed small nodules and peripheral infiltrates in both lung fields. Chest computerized tomogram (CT) scans found multiple cavitated lung nodules (Figure 2A,B). Human immunodeficiency virus (HIV) screening test was negative.

Figure 1
Chest radiograph on the admission day showing small nodules and peripheral infiltrates in bilateral lungs.
Figure 2
(A,B) Chest computerized tomogram (CT) scans showing multiple cavitated nodules.

Soon after transfer to the ICU, the patient developed respiratory distress and became hemodynamically unstable. He was intubated and resuscitation efforts were started to stabilize him. Yeast‐like organisms were found in the debrided tissue. CT‐guided biopsy of the pulmonary nodules also found yeast‐like organisms. Tissue cultures of skin wound and lung biopsy grew Cryptococcus neoformans. He was diagnosed with disseminated cryptococcal infection and Amphotericin B was started. His hemodynamic status stabilized 2 days after the start of Amphotericin B. Follow‐up chest radiograph 1 week after starting Amphotericin B treatment showed resolution of pulmonary nodules. His right thigh skin lesion also healed gradually.

Unfortunately, he developed severe weakness of all extremities on the fourteenth ICU day, and had difficulty weaning from mechanical ventilation. Neurological examination found diffuse hyporeflexia. The nerve conduction velocity (NCV) study showed decreased amplitude in nerve conduction, with normal velocity. Electromyogram (EMG) found diffuse muscular fibrillation. Based on these findings, CIPNM was diagnosed. Patient underwent tracheostomy on the twenty‐sixth ICU day due to the need for prolonged mechanical ventilation. His antifungal therapy was changed to intravenous fluconazole 600 mg per day. Blood glucose levels were controlled with continuous insulin infusion and insulin dose was titrated to keep the blood glucose below 120 mg/dL. He was finally weaned from mechanical ventilation on the forty‐seventh day of ICU admission, and was transferred to the general ward. With physical therapy, he resumed his daily activities and was discharged from the hospital.

DISCUSSION

Cryptococcus rarely causes disseminated infection in healthy individuals. The vast majority of patients with cryptococcosis are immunocompromised due to conditions such as acquired immunodeficiency syndrome, prolonged treatment with corticosteroids, organ transplantation, malignancy, or diabetes mellitus.3, 4 The patient in this report had 2 of the documented risk factors. In a study of 52 disseminated cryptococcosis patients, the most prevalent underlying condition was HIV infection (46%). Out of these 52 patients, 28 were HIV‐negative, and only 3 of them had no predisposing condition.4 Cutaneous cryptococcus infection could be a manifestation of disseminated cryptococcal infection, or may be a primary disease that would evolve into systemic disease several months later.5, 6 The incidence of primary cutaneous cryptococcosis is much lower than systemic disease with cutaneous manifestation. Cellulitis, which is refractory to treatment with traditional antibacterial agents, should lead to consideration of fungal cellulites, such as cutaneous cryptococcosis or aspergillosis. Once cryptococcal cellulitis is diagnosed, other foci of cryptococcal infection should be sought.

CIPNM includes myopathies, acute neuropathies, neuromuscular transmission defects, or any combination of these disorders.2, 7 CIPNM might arise in ICU patients who have systemic inflammatory response syndrome (SIRS), sepsis, or multiple organ failure. In patients with new onset limb weakness, disuse hyporeflexia, and difficulty in weaning from mechanical ventilation, CIPNM should be among the differential diagnoses. In 1 prospective trial, de Letter et al.8 found CIPNM incidence of 33% in 98 ICU patients. A high APACHE III score, SIRS, and the use of aminoglycoside antibiotics are significant risk factors for the development of CIPNM. In various studies, the incidence of CIPNM ranges from 13% to 76%.2, 710

The definitive diagnosis of CIPNM is established by EMG and NCV studies, which are characterized by (1) reduced amplitudes of compound muscles and sensory action potentials, (2) relatively normal conduction studies, and (3) widespread fibrillations and sharp waves.2 The mean mortality of patients who have developed CIPNM is 35%, with a range from 0% to 73%. About 45% of patients completely recover from CIPNM within 6 weeks to 12 months (with a mean duration of 4.5 months), with good supportive care, provided the underlying condition has been treated.2, 9 There is little evidence to support a specific treatment modality for CIPNM. Mohr et al.1 reported that intravenous immunoglobulin may prevent or ameliorate CIPNM in the ICU, but more prospective and placebo‐controlled studies are needed to confirm their result. In recent studies,11 strict blood glucose control with insulin was found to reduce the risk of CIPNM and duration of mechanical ventilation in both medical and surgical ICU patients.

In conclusion, CIPNM occurs frequently in ICU patients with SIRS, sepsis, or multiple organ failure, leading to prolonged ventilator dependence and increased morbidity and mortality. Risk factor prevention and intensive insulin treatment may reduce the incident of CIPNM and the duration of mechanical ventilation in ICU patients.

Critical illness polyneuromyopathy (CIPNM) is frequent among critically‐ill patients.1, 2 CIPNM develops in critically‐ill patients with systemic inflammatory response syndrome, sepsis, or multiple organ failure. We report a case of disseminated cryptococcal infection in a critically‐ill patient who presented with treatment‐refractory cellulitis. His recovery was complicated by difficulty in weaning from mechanical ventilation due to CIPNM.

CASE REPORT

A 49‐year‐old man developed skin swelling and tenderness over his right thigh 1 month prior to admission at a local hospital. He was a pigeon breeder by profession. His medical history was significant for hypertension and poorly controlled diabetes mellitus. His medications included prednisolone (15 mg per day), which he was taking for his chronic arthritis for about 6 months. He was admitted for treatment of cellulitis. Despite antibiotic treatment with ampicillin and sulbactam, his skin lesion became necrotic and gangrenous. Wound healing remained poor even after wound debridement. Patient developed dyspnea 2 weeks after admission and was transferred to the intensive care unit (ICU) of National Taiwan University Hospital for further management.

On transfer to ICU, he was drowsy and had an ear temperature of 37.1C, pulse rate of 108 beats/minute, blood pressure of 132/82 mm Hg, and respiratory rate of 20 breaths/minutes. His pupils were isocoric with prompt light reflex. His right thigh wound was 6 cm in length with eschar formation and focal erythema. His total white blood cell count was 14.08 109 cells/L with 72.2% polymorphonuclear leukocytes. His blood glucose level was 326 mg/dL. Other blood work, including hemoglobin, coagulation studies, and renal and liver function tests, were within normal range. Urinalysis was positive for glucose, but there was no hematuria, pyuria, or ketonuria. The chest radiograph (Figure 1) showed small nodules and peripheral infiltrates in both lung fields. Chest computerized tomogram (CT) scans found multiple cavitated lung nodules (Figure 2A,B). Human immunodeficiency virus (HIV) screening test was negative.

Figure 1
Chest radiograph on the admission day showing small nodules and peripheral infiltrates in bilateral lungs.
Figure 2
(A,B) Chest computerized tomogram (CT) scans showing multiple cavitated nodules.

Soon after transfer to the ICU, the patient developed respiratory distress and became hemodynamically unstable. He was intubated and resuscitation efforts were started to stabilize him. Yeast‐like organisms were found in the debrided tissue. CT‐guided biopsy of the pulmonary nodules also found yeast‐like organisms. Tissue cultures of skin wound and lung biopsy grew Cryptococcus neoformans. He was diagnosed with disseminated cryptococcal infection and Amphotericin B was started. His hemodynamic status stabilized 2 days after the start of Amphotericin B. Follow‐up chest radiograph 1 week after starting Amphotericin B treatment showed resolution of pulmonary nodules. His right thigh skin lesion also healed gradually.

Unfortunately, he developed severe weakness of all extremities on the fourteenth ICU day, and had difficulty weaning from mechanical ventilation. Neurological examination found diffuse hyporeflexia. The nerve conduction velocity (NCV) study showed decreased amplitude in nerve conduction, with normal velocity. Electromyogram (EMG) found diffuse muscular fibrillation. Based on these findings, CIPNM was diagnosed. Patient underwent tracheostomy on the twenty‐sixth ICU day due to the need for prolonged mechanical ventilation. His antifungal therapy was changed to intravenous fluconazole 600 mg per day. Blood glucose levels were controlled with continuous insulin infusion and insulin dose was titrated to keep the blood glucose below 120 mg/dL. He was finally weaned from mechanical ventilation on the forty‐seventh day of ICU admission, and was transferred to the general ward. With physical therapy, he resumed his daily activities and was discharged from the hospital.

DISCUSSION

Cryptococcus rarely causes disseminated infection in healthy individuals. The vast majority of patients with cryptococcosis are immunocompromised due to conditions such as acquired immunodeficiency syndrome, prolonged treatment with corticosteroids, organ transplantation, malignancy, or diabetes mellitus.3, 4 The patient in this report had 2 of the documented risk factors. In a study of 52 disseminated cryptococcosis patients, the most prevalent underlying condition was HIV infection (46%). Out of these 52 patients, 28 were HIV‐negative, and only 3 of them had no predisposing condition.4 Cutaneous cryptococcus infection could be a manifestation of disseminated cryptococcal infection, or may be a primary disease that would evolve into systemic disease several months later.5, 6 The incidence of primary cutaneous cryptococcosis is much lower than systemic disease with cutaneous manifestation. Cellulitis, which is refractory to treatment with traditional antibacterial agents, should lead to consideration of fungal cellulites, such as cutaneous cryptococcosis or aspergillosis. Once cryptococcal cellulitis is diagnosed, other foci of cryptococcal infection should be sought.

CIPNM includes myopathies, acute neuropathies, neuromuscular transmission defects, or any combination of these disorders.2, 7 CIPNM might arise in ICU patients who have systemic inflammatory response syndrome (SIRS), sepsis, or multiple organ failure. In patients with new onset limb weakness, disuse hyporeflexia, and difficulty in weaning from mechanical ventilation, CIPNM should be among the differential diagnoses. In 1 prospective trial, de Letter et al.8 found CIPNM incidence of 33% in 98 ICU patients. A high APACHE III score, SIRS, and the use of aminoglycoside antibiotics are significant risk factors for the development of CIPNM. In various studies, the incidence of CIPNM ranges from 13% to 76%.2, 710

The definitive diagnosis of CIPNM is established by EMG and NCV studies, which are characterized by (1) reduced amplitudes of compound muscles and sensory action potentials, (2) relatively normal conduction studies, and (3) widespread fibrillations and sharp waves.2 The mean mortality of patients who have developed CIPNM is 35%, with a range from 0% to 73%. About 45% of patients completely recover from CIPNM within 6 weeks to 12 months (with a mean duration of 4.5 months), with good supportive care, provided the underlying condition has been treated.2, 9 There is little evidence to support a specific treatment modality for CIPNM. Mohr et al.1 reported that intravenous immunoglobulin may prevent or ameliorate CIPNM in the ICU, but more prospective and placebo‐controlled studies are needed to confirm their result. In recent studies,11 strict blood glucose control with insulin was found to reduce the risk of CIPNM and duration of mechanical ventilation in both medical and surgical ICU patients.

In conclusion, CIPNM occurs frequently in ICU patients with SIRS, sepsis, or multiple organ failure, leading to prolonged ventilator dependence and increased morbidity and mortality. Risk factor prevention and intensive insulin treatment may reduce the incident of CIPNM and the duration of mechanical ventilation in ICU patients.

References
  1. Mohr M,Englisch L,Roth A,Burchardi H,Zielmann S.Effects of early treatment with immunoglobulin on critical illness polyneuropathy following multiple organ failure and gram‐negative sepsis.Intensive Care Med.1997;23:11441149.
  2. Visser LH.Critical illness polyneuropathy and myopathy: clinical features, risk factors and prognosis.Eur J Neurol.2006;13:12031212.
  3. Diamond RD.Cryptococcus neoformans. In:Mandell GL,Bennett JE,Dolin R, eds.Principles and Practice of Infectious Diseases.Philadelphia:Churchill Livingstone;2000:27072718.
  4. Jean SS,Fang CT,Shau WY, et al.Cryptococcameia: clinical features and prognostic factors.Q J Med.2002;95:511518.
  5. Bauza A,Redondo P,Rubio M.Primary cutaneous cryptococcal cellulitis secondary to insect bite in an immunosuppressed patient after liver transplantation.Clin Exp Dermatol.2005;30:241243.
  6. Song IC,Hunter JG.Primary cutaneous cryptococcosis as the presenting manifestation of AIDS.Plast Reconstr Surg.1992;90:10651067.
  7. Garnacho‐Montero J,Amaya‐Villar R,Garcia‐Garmendia JL,Madrazo‐Osuna J,Ortiz‐Leyba C.Effect of critical illness polyneuropathy on the withdrawal from mechanical ventilation and the length of stay in septic patients.Crit Care Med.2005;33:349354.
  8. De Letter MA,van Doorn PA,Savelkoul HF, et al.Critical illness polyneuropathy and myopathy (CIPNM): evidence for local immune activation by cytokine‐expression in the muscle tissue.J Neuroimmunol.2000;106:206213.
  9. Lorin S,Nierman DM.Critical illness neuromuscular abnormalities.Crit Care Clin.2002;18:553568.
  10. Maher J,Rutledge F,Remtulla H,Parkes A,Bernardi L,Bolton CF.Neuromuscular disorders associated with failure to wean from the ventilator.Intensive Care Med.1995;21:737743.
  11. Hermans G,Wilmer A,Meersseman W, et al.Impact of intensive insulin therapy on neuromuscular complications and ventilator‐dependency in MICU.Am J Respir Crit Care Med.2007;175:480489.
References
  1. Mohr M,Englisch L,Roth A,Burchardi H,Zielmann S.Effects of early treatment with immunoglobulin on critical illness polyneuropathy following multiple organ failure and gram‐negative sepsis.Intensive Care Med.1997;23:11441149.
  2. Visser LH.Critical illness polyneuropathy and myopathy: clinical features, risk factors and prognosis.Eur J Neurol.2006;13:12031212.
  3. Diamond RD.Cryptococcus neoformans. In:Mandell GL,Bennett JE,Dolin R, eds.Principles and Practice of Infectious Diseases.Philadelphia:Churchill Livingstone;2000:27072718.
  4. Jean SS,Fang CT,Shau WY, et al.Cryptococcameia: clinical features and prognostic factors.Q J Med.2002;95:511518.
  5. Bauza A,Redondo P,Rubio M.Primary cutaneous cryptococcal cellulitis secondary to insect bite in an immunosuppressed patient after liver transplantation.Clin Exp Dermatol.2005;30:241243.
  6. Song IC,Hunter JG.Primary cutaneous cryptococcosis as the presenting manifestation of AIDS.Plast Reconstr Surg.1992;90:10651067.
  7. Garnacho‐Montero J,Amaya‐Villar R,Garcia‐Garmendia JL,Madrazo‐Osuna J,Ortiz‐Leyba C.Effect of critical illness polyneuropathy on the withdrawal from mechanical ventilation and the length of stay in septic patients.Crit Care Med.2005;33:349354.
  8. De Letter MA,van Doorn PA,Savelkoul HF, et al.Critical illness polyneuropathy and myopathy (CIPNM): evidence for local immune activation by cytokine‐expression in the muscle tissue.J Neuroimmunol.2000;106:206213.
  9. Lorin S,Nierman DM.Critical illness neuromuscular abnormalities.Crit Care Clin.2002;18:553568.
  10. Maher J,Rutledge F,Remtulla H,Parkes A,Bernardi L,Bolton CF.Neuromuscular disorders associated with failure to wean from the ventilator.Intensive Care Med.1995;21:737743.
  11. Hermans G,Wilmer A,Meersseman W, et al.Impact of intensive insulin therapy on neuromuscular complications and ventilator‐dependency in MICU.Am J Respir Crit Care Med.2007;175:480489.
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Journal of Hospital Medicine - 4(2)
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Journal of Hospital Medicine - 4(2)
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E3-E6
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Critical illness polyneuromyopathy in a patient with disseminated cryptococcal infection
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Coding and Documentation

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Coding and documentation: Medicare severity diagnosis‐related groups and present‐on‐admission documentation

You admitted a patient to the hospital for an upper gastrointestinal bleed. At the time of admission, the patient's mucous membranes were dry, and he was mildly orthostatic and tachycardic. He was given several boluses of normal saline, and he improved. All of this was carefully documented in the medical record. Shortly after discharge, the following cryptic message arrives in your mailbox:

The patient was admitted with gastrointestinal bleeding and noted to have dry mucous membranes, orthostatic hypotension, and tachycardia. He was given intravenous saline. What diagnosis, if any, required treatment with 2 boluses of normal saline?

You remember the patient well but still pull the chart to review the case. It appears obvious that the patient was dry and needed fluid resuscitation. You are confused and do not know how to respond. Your response is just that: Patient was dry and needed fluid resuscitation.

Several days later, you get another message thanking you for your reply but describing what the coder actually needed to be able to code appropriately. Had you answered hypovolemia or dehydration, it would have changed the diagnosis‐related group (DRG) and reimbursement from gastrointestinal hemorrhage ($2700) to gastrointestinal hemorrhage with complications ($4600). Because you did not provide the right answer, the institution was reimbursed for the lesser amount. Now you are left with more questions. Hypovolemia is exactly what the patient had; you basically said so, and it was described throughout the chart, although not in so many words. Why did the coder not just say what was needed? Why can you not just answer again? Why are you being asked to play what appears to be a stupid game when you have sick patients to care for and never enough time? What can you do to prevent this from happening the next time? What other surprises are in store for you?

INTRODUCTION

Beginning October 1, 2007 the Centers for Medicare and Medicaid Services (CMS) implemented changes in the hospital inpatient prospective payment system that have profound implications for how physicians code and document hospital care. These changes were implemented in an effort to better recognize severity of illness,1 and the information will be used to plan for current and future needs of hospitals, insurers, caregivers, and patients. Severity of illness is a measure of the patient's overall health status reflected by the resources necessary for care and the risk of morbidity and mortality. Factors including the presenting illness, comorbid conditions, functional status, nutritional status, and age contribute to the severity of illness. From a physiologic perspective, factors reflecting loss of homeostatic control such as abnormal vital signs, poor oxygenation, and altered sensorium are determinants of severity of illness. For hospitals, severity of illness is generally reflected by the case mix of concomitant illness. Thus, a patient with community‐acquired pneumonia without other comorbidities requires fewer resources and has a greater chance of a good outcome than the same patient with complications such as acute congestive heart failure. In the context of this article, severity of illness should be considered an indication of the complexity of the patient's presentation. Reporting comorbidities and illness severity will help better define quality of care and medical necessity for that care.

The DRG system provided a set payment for a given hospitalization based on primary and sometimes secondary diagnoses. The new system, using Medicare severity diagnosis‐related groups (MS‐DRGs), accounts for all diagnoses present at the time of admission and all diagnoses made during the hospitalization.

This article discusses the value of appropriate documentation and outlines changes that physicians will need to make to ensure optimal coding. The value of appropriate documentation is described. Specific terminology is illustrated so physicians can document properly and coders can easily extract the necessary information from the medical record to code appropriately. Finally, specific strategies institutions can implement to support physicians and coders are suggested.

A PRIMER ON CODING AND MEDICAL DOCUMENTATION

Prior to October 1, 2007, the DRG for a given hospitalization was calculated from the principle diagnosis and in some cases 1 secondary diagnosis that represented a significant complication or comorbidity. For example, a patient admitted to the hospital with abdominal pain diagnosed as a peptic ulcer would have a DRG to reflect the ulcer. If the patient also had anemia secondary to blood loss from the ulcer, this would serve as a complication, and a DRG with a comorbidity or complication and a higher case weight would be assigned. Additional significant complications would not further alter the DRG.

The new guidelines recognize 3 levels of severity for secondary diagnoses. The DRG from the principal diagnosis can be associated with other diagnoses that recognize no complication or comorbidity, a complication or comorbidity, or a major complication or comorbidity. Thus, a patient admitted with a duodenal ulcer may have a secondary diagnosis such as hypertension, which is not considered significant enough to complicate the DRG, a complication such as ileus, or a major complication such as perforation or heart failure. Depending on the clinical circumstances, a patient admitted with a principal diagnosis of duodenal ulcer could have any of 3 DRGs.

Of all the information contained in the medical record, coders can use only documentation by physicians who are directly caring for the patient during that admission. This includes documentation by resident physicians, physician assistants, or nurse practitioners if the attending documents agreement. Notes of nurses and allied health professionals cannot be used. Consultants' notes can also be used for coding, except when their findings contradict those of the attending physician. In this case, 1 of 2 things can happen. The coder may use the documentation of the attending physician or, if clarification of the appropriate diagnosis or procedure is necessary, query the attending physician. Pathology and radiology reports and laboratory findings cannot be used unless the diagnoses are documented by the attending.

Because coders can use only documentation that follows universal terminology, physicians need to understand coding principles and learn to document using appropriate terminology.2, 3 This includes documentation of diagnoses, conditions, symptoms, or procedures defined by CMS. The large number of vagaries in the coding vernacular used by CMS sometimes makes this lexicon confusing and difficult for physicians. To ensure appropriate documentation, physicians must abandon doctorese, the shorthand vernacular that is commonly used for documentation. Even when a coder is able to correctly infer the diagnosis, he or she cannot use this information because the diagnosis was not specifically documented. It will either be lost or generate a query; both are negative consequences for the hospital and physician because reimbursement might be inappropriately low and the true level of severity of illness might not be appreciated.

Examples of this are myriad (see Appendix B) and include the following:

  • Shorthand notation, such as Na (hyponatremia) and plts, (thrombocytopenia) is not acceptable; the actual diagnosis must be written.

  • Often, there is no documentation of the diagnosis at all, but physicians read between the lines to glean the diagnosis. A note states dysuria followed by +U/A, leaving the assessment blank. The plan says ciprofloxin 500BID X 3d. Most physicians recognize this as shorthand for an uncomplicated urinary tract infection, but the documentation is incomplete because the assessment is omitted, and the coders will not be able to code.

  • A note documents an abnormal laboratory value that is intended to reflect a diagnosis (eg, Na+ = 117, restrict fluids). Coders likely understand that hyponatremia is the diagnosis, but they cannot code it because coding rules state it is only an abnormal laboratory value, not a diagnosis. Hyponatremia must be written in the medical record.

In most circumstances, a few simple guidelines will help:

  • Avoid abbreviations. Full diagnoses should be written in longhand rather than abbreviations or symbols. Use a diagnosis when appropriate, rather than just the symptom, such as hypoxia for dyspnea.

  • Write complete SOAP notes. Always document the diagnosis for which any treatment is rendered or evaluation performed. In other words, always write complete SOAP notes, not SOP notes.

  • Become familiar with rules and concepts of coding and documentation. Some peculiarities of coding rules make little sense to physicians and may appear arbitrary. Certain diagnoses, conditions, or descriptive terms that physicians commonly use cannot be used for coding purposes. These peculiarities will simply need to be learned or handled by queries from coders or real‐time chart review by coding personnel. For example, although exacerbation of chronic obstructive pulmonary disease is recognized in coding rules, exacerbation of congestive heart failure codes to a nonspecific code, and the physician must document it as acute on chronic or acute congestive heart failure. Likewise, the new terminology adopted by the National Kidney Foundation for acute renal failure, acute kidney injury, has no code. Because both of these diagnoses serve as major comorbidities, they have major financial implications for hospitals.

  • Be thorough. All clinically significant conditions noted should be documented and coded. According to CMS rules, a condition, whether major or minor, is clinically significant if it requires any of the following:4

    • Clinical evaluation

    • Therapeutic treatment

    • Diagnostic procedures

    • Extended length of hospital stay

    • Increased nursing care and/or monitoring.

    • Avoid rule‐out diagnoses. It is perfectly acceptable to qualify an uncertain diagnosis. For example, suspected pneumonia can be documented as probable or possible. If you document it as such and empirically treat for pneumonia, the coder may document pneumonia as the diagnosis. Diagnoses that have been ruled out should not be documented. For example, a patient is admitted with neutropenic fever and suspected sepsis. The patient may be given empirical therapy, but if sepsis is ruled out and the treatment is stopped, sepsis is not an appropriate diagnosis.

    • Identify the principal diagnosis. The principal diagnosis is defined as the condition responsible for the patient's admission to the hospital. All other diagnoses are secondary. If a patient enters the hospital because of sepsis of urinary origin but during the hospitalization develops pneumonia that extends the stay, the principal diagnosis from which the DRG is derived remains sepsis of urinary origin. The only exception is the patient with several conditions, any of which would have independently required hospitalization and treatment. In this case, the coders have the option of selecting the principal diagnosis from among the possible principal diagnoses if each is treated with essentially equal effort.

    • Include relevant secondary diagnoses. Another complexity and frustration regarding the coding rules is that they are often highly specific and follow a logic of their own. For coding purposes, upper gastrointestinal bleeding is a diagnosis without comorbidity. However, adding the secondary diagnosis of blood loss anemia increases the case weight by adding a comorbidity, and documenting esophageal hemorrhage adds a major comorbidity, further increasing the case weight. Coders may not, by Medicare rules, prompt or lead physicians to the proper term. If the physician documents upper gastrointestinal bleed, anemia, and esophagitis, the coder cannot ask, Was the esophagitis the cause of the anemia?

    Other Considerations

    Although coders cannot use documentation from nurses and allied health professionals, their notes often provide clues to issues that the physician may have failed to document. For example, a patient with significant postoperative nausea and vomiting may be treated and followed carefully by the physicians and improve despite no physician documentation. The information contained in the nursing notes can generate a query to the physician to clarify the diagnosis that required treatment for significant nausea and vomiting.

    Under the new guidelines, diagnoses present on admission must be distinguished from diagnoses occurring after admission. CMS is very concerned about reducing the incidence of preventable nosocomial events such as decubitus ulcers and catheter‐associated infections. In an attempt to push hospitals to reduce or eliminate the incidence of these adverse events, CMS no longer reimburses certain diagnoses for the added cost of care when these events occur. If a patient leaves the hospital with a catheter‐associated urinary tract infection, CMS assumes that it was hospital‐acquired unless it was clearly documented as present on admission (see Appendix A). It is likely that the list will grow over time; in fact, CMS is considering adding ventilator‐associated pneumonia, Staphylococcus aureus septicemia, and deep venous thrombosis/pulmonary embolism in 2009. Thus, it is important to develop systematic methods to ensure that all diagnoses present on admission are captured and that diagnoses which developed during the hospitalization are acknowledged. A diagnosis present on admission but not recognized until after admission can be documented as present on admission. Another category will also be apparent occasionally in which it cannot be known whether a condition was present on admission or occurred following hospitalization.

    PREPARING TO COMPLY WITH MS‐DRG GUIDELINES

    Information from Maryland hospitals that have piloted the MS‐DRG methodology indicates that coders will be 25% to 50% less efficient (private communication), largely because of increased communication (queries) between coders and physicians to clarify medical documentation. Queries may be generated whenever the record lacks codable documentation or information is missing, conflicting, ambiguous, or illegible. Most hospitals will need to increase their coding staff and hire or develop educators to teach coders and physicians medical terminology. Many of these educators will need experience in both coding and medicine and will generally require at least an RN degree or the equivalent.5, 6 Hiring experienced coders with a medical background is currently a challenge as many hospitals are responding to the new guidelines, and they are in high demand. Many hospitals will need to upgrade the skills of existing coders or medical personnel to fill these roles. Hospitals that invest in additional coders to train physicians in coding terminology may eventually regain efficiency in the coding process; however, it seems likely that some degree of additional clarification will always be needed.

    Hospitals should develop educational programs, including didactic presentations that define the new MS‐DRGs, outline the risks and benefits of the new rules, and provide examples of universal terminology. They should provide handouts, pocket guides, and electronic medical record prompts with coding terminology and frequently asked questions. Specific physician feedback may occur on an individual, departmental, or DRG basis or on the basis of the International Statistical Classification of Diseases and Related Health Problems, 9th edition. Coding specialists need to be available to provide real‐time chart review and answer specific physician inquiries on coding and documentation questions. Physician buy‐in is essential and can be encouraged through careful education, administrative support, and physician champions.

    INCENTIVE AND DISINCENTIVES: HOW TO MAXIMIZE COMPLIANCE AMONG PHYSICIANS AND HOSPITALS (AND WHY IT IS SO IMPORTANT)

    The new coding rules affect only hospital reimbursement, so physicians get no direct benefit from ensuring that hospitals obtain the maximum appropriate reimbursement. However, physicians indirectly benefit when hospitals have strong profit margins, which allow for improved staffing levels, capital expenditures, additional services, programs, and growth. Any physician who has worked in institutions that operate in the red and in the black fully understands how important hospital revenue is to morale, efficiency, and work satisfaction.

    The importance of properly evaluating quality of care cannot be overestimated. CMS, the Joint Commission on the Accreditation of Healthcare Organizations, and other oversight bodies have emphasized this through guidelines, legislation, and financial incentives.7 Pay for performance, value‐based purchasing, and performance indicator data are terms commonly understood by physicians. Hospitals and physicians benefit from improved quality measurements, which are affected by coding and documentation. Without appropriate coding and documentation, institutions that care for the very sickest patients cannot demonstrate their true severity of illness. Increases in morbidity, mortality, and length of stay will not correlate with the documented severity of illness, adversely skewing quality data and affecting hospitals' reputations. Hospitals that do not adequately account for the severity of the patients that they treat and accurately adjust their performance measures for severity will face increasingly difficult challenges to their financial stability and reputation in the future.8 The ability to demonstrate favorable quality report cards2, 3 represents an increasingly important incentive for hospitals.9 Finally, it is important to realize the multitude of functions supported by good documentation in the medical record. The record is also important for quality measurement, protection from liability, evaluation of resource utilization, tumor and other medical data registries, and other uses (see Appendix A).

    CONCLUSION

    The MS‐DRG system has important implications for physicians and hospitals. The changes will allow CMS to understand more fully the severity of illness of hospitalized patients. It replaces a system that derived a DRG from a single principle diagnosis and in some cases a single comorbidity with one that reflects all conditions. Comorbidities and complications are designated as major, minor, or no complication. Because multiple parties use the medical record for many different functions, better documentation of specificity of severity of illness will affect hospitals in many ways. Importantly, one of these will be reimbursement. Hospitals that historically have had a higher level of severity will now see that reflected in their case mix and may actually see improved reimbursement. Another area that will be affected is quality measurement. If severity of illness is not appropriately documented and accounted for, hospitals could exhibit skewed outcomes of care. For example, if hospitals with sicker (on average) patients document a lower indicator of severity than the true severity of its patients, their mortality experience might appear to be abnormally high in comparison with other hospitals. This can damage reputations and thus affect many things such as patient referrals and utilization of services. This becomes particularly important in a competitive medical market and at a time when patients have increased access to hospital‐specific data on quality of care.

    The new guidelines also require medical documentation to capture diagnoses present on admission as opposed to conditions that arise during hospitalization. If not recorded as present on admission, selected conditions will be considered iatrogenic complications and will not receive additional reimbursement. CMS intends this as an incentive for hospitals to improve quality of care by developing safeguards against complications.

    It is likely that hospitals will take different approaches to ensuring that medical record documentation skills are taught and adopted by physicians. As different approaches evolve, hopefully best practices will emerge that can be disseminated. These efforts should be taken to ensure appropriate documentation prospectively rather than heavy reliance on a retrospective review and query process, which can be inefficient and expensive, intrusive to physician workflow, and possibly subject to third‐party criticism.

    It is vital for hospital senior managers to gain physician input and involvement in both the design and implementation of the programs outlined in this article and to provide them with adequate resources and administrative support throughout the educational process. Ultimately, developing a program that enhances and sustains the medical record documentation skills of its medical staff is critical to the well‐being of any hospital. Accepting the new changes and making the changes necessary to ensure success is certainly an additional burden on physicians; many, if not most, of whom likely feel overworked and overburdened by the many demands on their time. Although they may not derive personal benefit for changing their behaviors, physicians should nevertheless understand the importance of appropriate documentation for the purposes of quality assessment, reimbursement, and resource allocation.

    Appendix

    APPENDIX A: SELECTED PENNSYLVANIA AND NATIONAL DATABASES USING MEDICAL RECORDS

    0

    Joint Commission on Accreditation of Healthcare Organizations (JCAHO)
    United Hospital Consortium (UHC)
    Pennsylvania Health Center Cost Containment Council (PHC4)
    United Network for Organ Sharing (UNOS)
    National Cancer Data Base (NCDB)
    National Database of Nursing Quality Indicators (NDNQI)
    National Association of Children's Hospitals and Related Institutions (NACHRI)
    Pennsylvania Trauma Systems Foundation (PTSF)
    American College of Cardiology (ACC)
    National Endoscopy Data Base (NEDB)
    National Surgery Quality Improvement Program (NSQIP)
    Society of Thoracic Surgery (STS)
    Uniform Data System for Medical Rehabilitation (UDSMR)

    Appendix

    APPENDIX B: NOTES TAKEN DIRECTLY FROM THE MEDICAL RECORD

    0

    What the MDs Document (Doctorese) What They Mean (Diagnosis/ Universal Terminology) Coding Result
    plts, Tx 4U plts Thrombocytopenia Coders cannot decipher
    Na+ = 117, fluid restrict Hyponatremia Abnormal laboratory test; cannot code
    O2 sat 80, NC @ 4 l/min Hypoxia Coders cannot decipher
    Alb = 2.4, diet consult, start suppl Malnutrition Abnormal laboratory test; cannot code
    IV NS 250/hr, 2U Tx, GI bleed Hypovolemia, blood loss anemia Coders cannot decipher
    BP, fever, MS, +UA Sepsis of urinary origin Urinary tract infection

    Appendix

    APPENDIX C: HOSPITAL‐ACQUIRED CONDITIONS OF FOCUS TO THE CENTERS FOR MEDICARE AND MEDICAID SERVICES FOR 2008

    0

    Serious preventable event: object left in surgery
    Serious preventable event: air embolism
    Serious preventable event: blood incompatibility
    Catheter‐associated urinary tract infections
    Vascular catheterassociated infections
    Surgical site infection: mediastinitis after coronary artery bypass surgery
    Hospital‐acquired injuries: fractures, dislocations, intracranial injury, crushing injury, burn, and other unspecified effects of external causes

    Appendix

    APPENDIX D: STRATEGIES FOR SUCCESS WITH MEDICARE SEVERITY DIAGNOSIS‐RELATED GROUPS

    0

    Educational initiatives
    Introductory didactic presentations
    Online tutorial: coding and documentation
    Periodic memos with coding tips (Tip of the Month)
    Web site references on coding tips (comprehensive list)
    Posters, announcements, and branding
    Physician support services
    Web site reference with FAQs
    Direct contact with coding specialists
    RN/coding specialist liaison
    Computerized medical record
    Staff feedback associated with query process
    Physician champions
    Coding department changes
    Increased staffing
    RN/coding specialist: real‐time chart reviews
    Physician coding specialist
    Standing Coding and Documentation Committee

    Appendix

    APPENDIX E: SELECTED CODING TIPS FOR GENERAL MEDICINE

    0

    • Abbreviations: CVA, cerebrovascular accident; NOS, not otherwise specified; PMH, past medical history.

    Disease/condition specific tips
    Gastrointestinal bleed with anemia does not mean that the patient is anemic from the hemorrhage: write blood loss anemia (chronic or acute).
    Urosepsis codes to urinary tract infection site NOS: write sepsis with urinary origin.
    CVA or stroke does not mean infarction: write CVA with infarction.
    Common complications and comorbidities
    Cardiac: acute myocardial infarction, congestive heart failure, atrial flutter, paroxysmal supraventricular tachycardia, heart block, and second‐degree heart block
    Gastrointestinal: melena, ascites, hepatitis, and hematemesis
    Genitourinary: urinary retention, hematuria, urinary tract infection, hydronephrosis, and renal failure
    Nutritional: dehydration, malnutrition, cachexia, and volume overload
    Gastrointestinal: peritonitis, perforation, bleeding esophageal varices, ascites, and ileus
    Genitourinary: acute renal failure, end‐stage renal disease, urinary tract infection, and nephritic syndrome
    Nutritional: severe malnutrition, body mass index > 40, malnutrition NOS, and cachexia
    Pulmonary: respiratory failure, aspiration pneumonia, pneumothorax, atelectasis, and hemoptysis
    General tips
    A culture must be linked to the site of infection: write pseudomonas pneumonia.
    Ambulatory dysfunction and deconditioning lack the required specificity to ensure accurate coding; when possible, use abnormal gait, difficulty walking, muscle weakness, and so forth.
    If the patient appears to be septic, positive blood cultures are not necessary to document sepsis.
    Discriminate between acute, chronic, and acute on chronic.
    If the problem is active, do not write history of , which implies that the condition no longer exists: write PMH: chronic (diagnosis).
    Be specific in documenting congestive heart failure (acute/chronic, systolic/diastolic failure, L/R).
    References
    1. Centers for Medicare and Medicaid Services. Medicare Program: Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/cms‐1533‐fc.pdf. Accessed October2008.
    2. Armstrong CM,Bryant GH,Cummins RA,Paret CJ,Rutledge KL.Straight talk: new approaches in healthcare. Rx for reimbursement woes: high‐quality medical documentation and coding. Panel discussion.Mod Healthc.2007;32(29):3538.
    3. Cole BJ,Flics S,Levine DB.Optimizing hospital reimbursement through physician awareness: a step toward better patient care.Orthopedics.1998;21(1):7983.
    4. ICD‐9‐CM Official Guidelines for Coding and Reporting (effective October 1, 2007). Available at:http://www.cdc.gov/nchs/datawh/ftpserv/ftpicd9/icdguide07.pdf. Accessed October2008.
    5. Hicks TA,Gentleman CA.Improving physician documentation through a clinical documentation management program.Nurs Adm.2003;27(4):285289.
    6. Beaty L.A primer for understanding diagnosis‐related groups and inpatient hospital reimbursement with nursing implications.Crit Care Nurs.2005;28(4):360369.
    7. US Department of Health and Human Services. Report to Congress: Plan To Implement a Medicare Hospital Value‐Based Purchasing Program. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/hospitalvbpplanrtcfinalsubmitted2007.pdf. Accessed October2008.
    8. Poses RM,McClish DK,Smith WR, et al.Results of report cards for patients with congestive heart failure depend on the method used to adjust for severity.Ann Intern Med.2000;133:1020.
    9. Rollow W,Lied TR,McGann P, et al.Assessment of the Medicare quality improvement organization program.Ann Intern Med.2006;145(5):342353.
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    You admitted a patient to the hospital for an upper gastrointestinal bleed. At the time of admission, the patient's mucous membranes were dry, and he was mildly orthostatic and tachycardic. He was given several boluses of normal saline, and he improved. All of this was carefully documented in the medical record. Shortly after discharge, the following cryptic message arrives in your mailbox:

    The patient was admitted with gastrointestinal bleeding and noted to have dry mucous membranes, orthostatic hypotension, and tachycardia. He was given intravenous saline. What diagnosis, if any, required treatment with 2 boluses of normal saline?

    You remember the patient well but still pull the chart to review the case. It appears obvious that the patient was dry and needed fluid resuscitation. You are confused and do not know how to respond. Your response is just that: Patient was dry and needed fluid resuscitation.

    Several days later, you get another message thanking you for your reply but describing what the coder actually needed to be able to code appropriately. Had you answered hypovolemia or dehydration, it would have changed the diagnosis‐related group (DRG) and reimbursement from gastrointestinal hemorrhage ($2700) to gastrointestinal hemorrhage with complications ($4600). Because you did not provide the right answer, the institution was reimbursed for the lesser amount. Now you are left with more questions. Hypovolemia is exactly what the patient had; you basically said so, and it was described throughout the chart, although not in so many words. Why did the coder not just say what was needed? Why can you not just answer again? Why are you being asked to play what appears to be a stupid game when you have sick patients to care for and never enough time? What can you do to prevent this from happening the next time? What other surprises are in store for you?

    INTRODUCTION

    Beginning October 1, 2007 the Centers for Medicare and Medicaid Services (CMS) implemented changes in the hospital inpatient prospective payment system that have profound implications for how physicians code and document hospital care. These changes were implemented in an effort to better recognize severity of illness,1 and the information will be used to plan for current and future needs of hospitals, insurers, caregivers, and patients. Severity of illness is a measure of the patient's overall health status reflected by the resources necessary for care and the risk of morbidity and mortality. Factors including the presenting illness, comorbid conditions, functional status, nutritional status, and age contribute to the severity of illness. From a physiologic perspective, factors reflecting loss of homeostatic control such as abnormal vital signs, poor oxygenation, and altered sensorium are determinants of severity of illness. For hospitals, severity of illness is generally reflected by the case mix of concomitant illness. Thus, a patient with community‐acquired pneumonia without other comorbidities requires fewer resources and has a greater chance of a good outcome than the same patient with complications such as acute congestive heart failure. In the context of this article, severity of illness should be considered an indication of the complexity of the patient's presentation. Reporting comorbidities and illness severity will help better define quality of care and medical necessity for that care.

    The DRG system provided a set payment for a given hospitalization based on primary and sometimes secondary diagnoses. The new system, using Medicare severity diagnosis‐related groups (MS‐DRGs), accounts for all diagnoses present at the time of admission and all diagnoses made during the hospitalization.

    This article discusses the value of appropriate documentation and outlines changes that physicians will need to make to ensure optimal coding. The value of appropriate documentation is described. Specific terminology is illustrated so physicians can document properly and coders can easily extract the necessary information from the medical record to code appropriately. Finally, specific strategies institutions can implement to support physicians and coders are suggested.

    A PRIMER ON CODING AND MEDICAL DOCUMENTATION

    Prior to October 1, 2007, the DRG for a given hospitalization was calculated from the principle diagnosis and in some cases 1 secondary diagnosis that represented a significant complication or comorbidity. For example, a patient admitted to the hospital with abdominal pain diagnosed as a peptic ulcer would have a DRG to reflect the ulcer. If the patient also had anemia secondary to blood loss from the ulcer, this would serve as a complication, and a DRG with a comorbidity or complication and a higher case weight would be assigned. Additional significant complications would not further alter the DRG.

    The new guidelines recognize 3 levels of severity for secondary diagnoses. The DRG from the principal diagnosis can be associated with other diagnoses that recognize no complication or comorbidity, a complication or comorbidity, or a major complication or comorbidity. Thus, a patient admitted with a duodenal ulcer may have a secondary diagnosis such as hypertension, which is not considered significant enough to complicate the DRG, a complication such as ileus, or a major complication such as perforation or heart failure. Depending on the clinical circumstances, a patient admitted with a principal diagnosis of duodenal ulcer could have any of 3 DRGs.

    Of all the information contained in the medical record, coders can use only documentation by physicians who are directly caring for the patient during that admission. This includes documentation by resident physicians, physician assistants, or nurse practitioners if the attending documents agreement. Notes of nurses and allied health professionals cannot be used. Consultants' notes can also be used for coding, except when their findings contradict those of the attending physician. In this case, 1 of 2 things can happen. The coder may use the documentation of the attending physician or, if clarification of the appropriate diagnosis or procedure is necessary, query the attending physician. Pathology and radiology reports and laboratory findings cannot be used unless the diagnoses are documented by the attending.

    Because coders can use only documentation that follows universal terminology, physicians need to understand coding principles and learn to document using appropriate terminology.2, 3 This includes documentation of diagnoses, conditions, symptoms, or procedures defined by CMS. The large number of vagaries in the coding vernacular used by CMS sometimes makes this lexicon confusing and difficult for physicians. To ensure appropriate documentation, physicians must abandon doctorese, the shorthand vernacular that is commonly used for documentation. Even when a coder is able to correctly infer the diagnosis, he or she cannot use this information because the diagnosis was not specifically documented. It will either be lost or generate a query; both are negative consequences for the hospital and physician because reimbursement might be inappropriately low and the true level of severity of illness might not be appreciated.

    Examples of this are myriad (see Appendix B) and include the following:

    • Shorthand notation, such as Na (hyponatremia) and plts, (thrombocytopenia) is not acceptable; the actual diagnosis must be written.

    • Often, there is no documentation of the diagnosis at all, but physicians read between the lines to glean the diagnosis. A note states dysuria followed by +U/A, leaving the assessment blank. The plan says ciprofloxin 500BID X 3d. Most physicians recognize this as shorthand for an uncomplicated urinary tract infection, but the documentation is incomplete because the assessment is omitted, and the coders will not be able to code.

    • A note documents an abnormal laboratory value that is intended to reflect a diagnosis (eg, Na+ = 117, restrict fluids). Coders likely understand that hyponatremia is the diagnosis, but they cannot code it because coding rules state it is only an abnormal laboratory value, not a diagnosis. Hyponatremia must be written in the medical record.

    In most circumstances, a few simple guidelines will help:

    • Avoid abbreviations. Full diagnoses should be written in longhand rather than abbreviations or symbols. Use a diagnosis when appropriate, rather than just the symptom, such as hypoxia for dyspnea.

    • Write complete SOAP notes. Always document the diagnosis for which any treatment is rendered or evaluation performed. In other words, always write complete SOAP notes, not SOP notes.

    • Become familiar with rules and concepts of coding and documentation. Some peculiarities of coding rules make little sense to physicians and may appear arbitrary. Certain diagnoses, conditions, or descriptive terms that physicians commonly use cannot be used for coding purposes. These peculiarities will simply need to be learned or handled by queries from coders or real‐time chart review by coding personnel. For example, although exacerbation of chronic obstructive pulmonary disease is recognized in coding rules, exacerbation of congestive heart failure codes to a nonspecific code, and the physician must document it as acute on chronic or acute congestive heart failure. Likewise, the new terminology adopted by the National Kidney Foundation for acute renal failure, acute kidney injury, has no code. Because both of these diagnoses serve as major comorbidities, they have major financial implications for hospitals.

    • Be thorough. All clinically significant conditions noted should be documented and coded. According to CMS rules, a condition, whether major or minor, is clinically significant if it requires any of the following:4

      • Clinical evaluation

      • Therapeutic treatment

      • Diagnostic procedures

      • Extended length of hospital stay

      • Increased nursing care and/or monitoring.

      • Avoid rule‐out diagnoses. It is perfectly acceptable to qualify an uncertain diagnosis. For example, suspected pneumonia can be documented as probable or possible. If you document it as such and empirically treat for pneumonia, the coder may document pneumonia as the diagnosis. Diagnoses that have been ruled out should not be documented. For example, a patient is admitted with neutropenic fever and suspected sepsis. The patient may be given empirical therapy, but if sepsis is ruled out and the treatment is stopped, sepsis is not an appropriate diagnosis.

      • Identify the principal diagnosis. The principal diagnosis is defined as the condition responsible for the patient's admission to the hospital. All other diagnoses are secondary. If a patient enters the hospital because of sepsis of urinary origin but during the hospitalization develops pneumonia that extends the stay, the principal diagnosis from which the DRG is derived remains sepsis of urinary origin. The only exception is the patient with several conditions, any of which would have independently required hospitalization and treatment. In this case, the coders have the option of selecting the principal diagnosis from among the possible principal diagnoses if each is treated with essentially equal effort.

      • Include relevant secondary diagnoses. Another complexity and frustration regarding the coding rules is that they are often highly specific and follow a logic of their own. For coding purposes, upper gastrointestinal bleeding is a diagnosis without comorbidity. However, adding the secondary diagnosis of blood loss anemia increases the case weight by adding a comorbidity, and documenting esophageal hemorrhage adds a major comorbidity, further increasing the case weight. Coders may not, by Medicare rules, prompt or lead physicians to the proper term. If the physician documents upper gastrointestinal bleed, anemia, and esophagitis, the coder cannot ask, Was the esophagitis the cause of the anemia?

      Other Considerations

      Although coders cannot use documentation from nurses and allied health professionals, their notes often provide clues to issues that the physician may have failed to document. For example, a patient with significant postoperative nausea and vomiting may be treated and followed carefully by the physicians and improve despite no physician documentation. The information contained in the nursing notes can generate a query to the physician to clarify the diagnosis that required treatment for significant nausea and vomiting.

      Under the new guidelines, diagnoses present on admission must be distinguished from diagnoses occurring after admission. CMS is very concerned about reducing the incidence of preventable nosocomial events such as decubitus ulcers and catheter‐associated infections. In an attempt to push hospitals to reduce or eliminate the incidence of these adverse events, CMS no longer reimburses certain diagnoses for the added cost of care when these events occur. If a patient leaves the hospital with a catheter‐associated urinary tract infection, CMS assumes that it was hospital‐acquired unless it was clearly documented as present on admission (see Appendix A). It is likely that the list will grow over time; in fact, CMS is considering adding ventilator‐associated pneumonia, Staphylococcus aureus septicemia, and deep venous thrombosis/pulmonary embolism in 2009. Thus, it is important to develop systematic methods to ensure that all diagnoses present on admission are captured and that diagnoses which developed during the hospitalization are acknowledged. A diagnosis present on admission but not recognized until after admission can be documented as present on admission. Another category will also be apparent occasionally in which it cannot be known whether a condition was present on admission or occurred following hospitalization.

      PREPARING TO COMPLY WITH MS‐DRG GUIDELINES

      Information from Maryland hospitals that have piloted the MS‐DRG methodology indicates that coders will be 25% to 50% less efficient (private communication), largely because of increased communication (queries) between coders and physicians to clarify medical documentation. Queries may be generated whenever the record lacks codable documentation or information is missing, conflicting, ambiguous, or illegible. Most hospitals will need to increase their coding staff and hire or develop educators to teach coders and physicians medical terminology. Many of these educators will need experience in both coding and medicine and will generally require at least an RN degree or the equivalent.5, 6 Hiring experienced coders with a medical background is currently a challenge as many hospitals are responding to the new guidelines, and they are in high demand. Many hospitals will need to upgrade the skills of existing coders or medical personnel to fill these roles. Hospitals that invest in additional coders to train physicians in coding terminology may eventually regain efficiency in the coding process; however, it seems likely that some degree of additional clarification will always be needed.

      Hospitals should develop educational programs, including didactic presentations that define the new MS‐DRGs, outline the risks and benefits of the new rules, and provide examples of universal terminology. They should provide handouts, pocket guides, and electronic medical record prompts with coding terminology and frequently asked questions. Specific physician feedback may occur on an individual, departmental, or DRG basis or on the basis of the International Statistical Classification of Diseases and Related Health Problems, 9th edition. Coding specialists need to be available to provide real‐time chart review and answer specific physician inquiries on coding and documentation questions. Physician buy‐in is essential and can be encouraged through careful education, administrative support, and physician champions.

      INCENTIVE AND DISINCENTIVES: HOW TO MAXIMIZE COMPLIANCE AMONG PHYSICIANS AND HOSPITALS (AND WHY IT IS SO IMPORTANT)

      The new coding rules affect only hospital reimbursement, so physicians get no direct benefit from ensuring that hospitals obtain the maximum appropriate reimbursement. However, physicians indirectly benefit when hospitals have strong profit margins, which allow for improved staffing levels, capital expenditures, additional services, programs, and growth. Any physician who has worked in institutions that operate in the red and in the black fully understands how important hospital revenue is to morale, efficiency, and work satisfaction.

      The importance of properly evaluating quality of care cannot be overestimated. CMS, the Joint Commission on the Accreditation of Healthcare Organizations, and other oversight bodies have emphasized this through guidelines, legislation, and financial incentives.7 Pay for performance, value‐based purchasing, and performance indicator data are terms commonly understood by physicians. Hospitals and physicians benefit from improved quality measurements, which are affected by coding and documentation. Without appropriate coding and documentation, institutions that care for the very sickest patients cannot demonstrate their true severity of illness. Increases in morbidity, mortality, and length of stay will not correlate with the documented severity of illness, adversely skewing quality data and affecting hospitals' reputations. Hospitals that do not adequately account for the severity of the patients that they treat and accurately adjust their performance measures for severity will face increasingly difficult challenges to their financial stability and reputation in the future.8 The ability to demonstrate favorable quality report cards2, 3 represents an increasingly important incentive for hospitals.9 Finally, it is important to realize the multitude of functions supported by good documentation in the medical record. The record is also important for quality measurement, protection from liability, evaluation of resource utilization, tumor and other medical data registries, and other uses (see Appendix A).

      CONCLUSION

      The MS‐DRG system has important implications for physicians and hospitals. The changes will allow CMS to understand more fully the severity of illness of hospitalized patients. It replaces a system that derived a DRG from a single principle diagnosis and in some cases a single comorbidity with one that reflects all conditions. Comorbidities and complications are designated as major, minor, or no complication. Because multiple parties use the medical record for many different functions, better documentation of specificity of severity of illness will affect hospitals in many ways. Importantly, one of these will be reimbursement. Hospitals that historically have had a higher level of severity will now see that reflected in their case mix and may actually see improved reimbursement. Another area that will be affected is quality measurement. If severity of illness is not appropriately documented and accounted for, hospitals could exhibit skewed outcomes of care. For example, if hospitals with sicker (on average) patients document a lower indicator of severity than the true severity of its patients, their mortality experience might appear to be abnormally high in comparison with other hospitals. This can damage reputations and thus affect many things such as patient referrals and utilization of services. This becomes particularly important in a competitive medical market and at a time when patients have increased access to hospital‐specific data on quality of care.

      The new guidelines also require medical documentation to capture diagnoses present on admission as opposed to conditions that arise during hospitalization. If not recorded as present on admission, selected conditions will be considered iatrogenic complications and will not receive additional reimbursement. CMS intends this as an incentive for hospitals to improve quality of care by developing safeguards against complications.

      It is likely that hospitals will take different approaches to ensuring that medical record documentation skills are taught and adopted by physicians. As different approaches evolve, hopefully best practices will emerge that can be disseminated. These efforts should be taken to ensure appropriate documentation prospectively rather than heavy reliance on a retrospective review and query process, which can be inefficient and expensive, intrusive to physician workflow, and possibly subject to third‐party criticism.

      It is vital for hospital senior managers to gain physician input and involvement in both the design and implementation of the programs outlined in this article and to provide them with adequate resources and administrative support throughout the educational process. Ultimately, developing a program that enhances and sustains the medical record documentation skills of its medical staff is critical to the well‐being of any hospital. Accepting the new changes and making the changes necessary to ensure success is certainly an additional burden on physicians; many, if not most, of whom likely feel overworked and overburdened by the many demands on their time. Although they may not derive personal benefit for changing their behaviors, physicians should nevertheless understand the importance of appropriate documentation for the purposes of quality assessment, reimbursement, and resource allocation.

      Appendix

      APPENDIX A: SELECTED PENNSYLVANIA AND NATIONAL DATABASES USING MEDICAL RECORDS

      0

      Joint Commission on Accreditation of Healthcare Organizations (JCAHO)
      United Hospital Consortium (UHC)
      Pennsylvania Health Center Cost Containment Council (PHC4)
      United Network for Organ Sharing (UNOS)
      National Cancer Data Base (NCDB)
      National Database of Nursing Quality Indicators (NDNQI)
      National Association of Children's Hospitals and Related Institutions (NACHRI)
      Pennsylvania Trauma Systems Foundation (PTSF)
      American College of Cardiology (ACC)
      National Endoscopy Data Base (NEDB)
      National Surgery Quality Improvement Program (NSQIP)
      Society of Thoracic Surgery (STS)
      Uniform Data System for Medical Rehabilitation (UDSMR)

      Appendix

      APPENDIX B: NOTES TAKEN DIRECTLY FROM THE MEDICAL RECORD

      0

      What the MDs Document (Doctorese) What They Mean (Diagnosis/ Universal Terminology) Coding Result
      plts, Tx 4U plts Thrombocytopenia Coders cannot decipher
      Na+ = 117, fluid restrict Hyponatremia Abnormal laboratory test; cannot code
      O2 sat 80, NC @ 4 l/min Hypoxia Coders cannot decipher
      Alb = 2.4, diet consult, start suppl Malnutrition Abnormal laboratory test; cannot code
      IV NS 250/hr, 2U Tx, GI bleed Hypovolemia, blood loss anemia Coders cannot decipher
      BP, fever, MS, +UA Sepsis of urinary origin Urinary tract infection

      Appendix

      APPENDIX C: HOSPITAL‐ACQUIRED CONDITIONS OF FOCUS TO THE CENTERS FOR MEDICARE AND MEDICAID SERVICES FOR 2008

      0

      Serious preventable event: object left in surgery
      Serious preventable event: air embolism
      Serious preventable event: blood incompatibility
      Catheter‐associated urinary tract infections
      Vascular catheterassociated infections
      Surgical site infection: mediastinitis after coronary artery bypass surgery
      Hospital‐acquired injuries: fractures, dislocations, intracranial injury, crushing injury, burn, and other unspecified effects of external causes

      Appendix

      APPENDIX D: STRATEGIES FOR SUCCESS WITH MEDICARE SEVERITY DIAGNOSIS‐RELATED GROUPS

      0

      Educational initiatives
      Introductory didactic presentations
      Online tutorial: coding and documentation
      Periodic memos with coding tips (Tip of the Month)
      Web site references on coding tips (comprehensive list)
      Posters, announcements, and branding
      Physician support services
      Web site reference with FAQs
      Direct contact with coding specialists
      RN/coding specialist liaison
      Computerized medical record
      Staff feedback associated with query process
      Physician champions
      Coding department changes
      Increased staffing
      RN/coding specialist: real‐time chart reviews
      Physician coding specialist
      Standing Coding and Documentation Committee

      Appendix

      APPENDIX E: SELECTED CODING TIPS FOR GENERAL MEDICINE

      0

      • Abbreviations: CVA, cerebrovascular accident; NOS, not otherwise specified; PMH, past medical history.

      Disease/condition specific tips
      Gastrointestinal bleed with anemia does not mean that the patient is anemic from the hemorrhage: write blood loss anemia (chronic or acute).
      Urosepsis codes to urinary tract infection site NOS: write sepsis with urinary origin.
      CVA or stroke does not mean infarction: write CVA with infarction.
      Common complications and comorbidities
      Cardiac: acute myocardial infarction, congestive heart failure, atrial flutter, paroxysmal supraventricular tachycardia, heart block, and second‐degree heart block
      Gastrointestinal: melena, ascites, hepatitis, and hematemesis
      Genitourinary: urinary retention, hematuria, urinary tract infection, hydronephrosis, and renal failure
      Nutritional: dehydration, malnutrition, cachexia, and volume overload
      Gastrointestinal: peritonitis, perforation, bleeding esophageal varices, ascites, and ileus
      Genitourinary: acute renal failure, end‐stage renal disease, urinary tract infection, and nephritic syndrome
      Nutritional: severe malnutrition, body mass index > 40, malnutrition NOS, and cachexia
      Pulmonary: respiratory failure, aspiration pneumonia, pneumothorax, atelectasis, and hemoptysis
      General tips
      A culture must be linked to the site of infection: write pseudomonas pneumonia.
      Ambulatory dysfunction and deconditioning lack the required specificity to ensure accurate coding; when possible, use abnormal gait, difficulty walking, muscle weakness, and so forth.
      If the patient appears to be septic, positive blood cultures are not necessary to document sepsis.
      Discriminate between acute, chronic, and acute on chronic.
      If the problem is active, do not write history of , which implies that the condition no longer exists: write PMH: chronic (diagnosis).
      Be specific in documenting congestive heart failure (acute/chronic, systolic/diastolic failure, L/R).

      You admitted a patient to the hospital for an upper gastrointestinal bleed. At the time of admission, the patient's mucous membranes were dry, and he was mildly orthostatic and tachycardic. He was given several boluses of normal saline, and he improved. All of this was carefully documented in the medical record. Shortly after discharge, the following cryptic message arrives in your mailbox:

      The patient was admitted with gastrointestinal bleeding and noted to have dry mucous membranes, orthostatic hypotension, and tachycardia. He was given intravenous saline. What diagnosis, if any, required treatment with 2 boluses of normal saline?

      You remember the patient well but still pull the chart to review the case. It appears obvious that the patient was dry and needed fluid resuscitation. You are confused and do not know how to respond. Your response is just that: Patient was dry and needed fluid resuscitation.

      Several days later, you get another message thanking you for your reply but describing what the coder actually needed to be able to code appropriately. Had you answered hypovolemia or dehydration, it would have changed the diagnosis‐related group (DRG) and reimbursement from gastrointestinal hemorrhage ($2700) to gastrointestinal hemorrhage with complications ($4600). Because you did not provide the right answer, the institution was reimbursed for the lesser amount. Now you are left with more questions. Hypovolemia is exactly what the patient had; you basically said so, and it was described throughout the chart, although not in so many words. Why did the coder not just say what was needed? Why can you not just answer again? Why are you being asked to play what appears to be a stupid game when you have sick patients to care for and never enough time? What can you do to prevent this from happening the next time? What other surprises are in store for you?

      INTRODUCTION

      Beginning October 1, 2007 the Centers for Medicare and Medicaid Services (CMS) implemented changes in the hospital inpatient prospective payment system that have profound implications for how physicians code and document hospital care. These changes were implemented in an effort to better recognize severity of illness,1 and the information will be used to plan for current and future needs of hospitals, insurers, caregivers, and patients. Severity of illness is a measure of the patient's overall health status reflected by the resources necessary for care and the risk of morbidity and mortality. Factors including the presenting illness, comorbid conditions, functional status, nutritional status, and age contribute to the severity of illness. From a physiologic perspective, factors reflecting loss of homeostatic control such as abnormal vital signs, poor oxygenation, and altered sensorium are determinants of severity of illness. For hospitals, severity of illness is generally reflected by the case mix of concomitant illness. Thus, a patient with community‐acquired pneumonia without other comorbidities requires fewer resources and has a greater chance of a good outcome than the same patient with complications such as acute congestive heart failure. In the context of this article, severity of illness should be considered an indication of the complexity of the patient's presentation. Reporting comorbidities and illness severity will help better define quality of care and medical necessity for that care.

      The DRG system provided a set payment for a given hospitalization based on primary and sometimes secondary diagnoses. The new system, using Medicare severity diagnosis‐related groups (MS‐DRGs), accounts for all diagnoses present at the time of admission and all diagnoses made during the hospitalization.

      This article discusses the value of appropriate documentation and outlines changes that physicians will need to make to ensure optimal coding. The value of appropriate documentation is described. Specific terminology is illustrated so physicians can document properly and coders can easily extract the necessary information from the medical record to code appropriately. Finally, specific strategies institutions can implement to support physicians and coders are suggested.

      A PRIMER ON CODING AND MEDICAL DOCUMENTATION

      Prior to October 1, 2007, the DRG for a given hospitalization was calculated from the principle diagnosis and in some cases 1 secondary diagnosis that represented a significant complication or comorbidity. For example, a patient admitted to the hospital with abdominal pain diagnosed as a peptic ulcer would have a DRG to reflect the ulcer. If the patient also had anemia secondary to blood loss from the ulcer, this would serve as a complication, and a DRG with a comorbidity or complication and a higher case weight would be assigned. Additional significant complications would not further alter the DRG.

      The new guidelines recognize 3 levels of severity for secondary diagnoses. The DRG from the principal diagnosis can be associated with other diagnoses that recognize no complication or comorbidity, a complication or comorbidity, or a major complication or comorbidity. Thus, a patient admitted with a duodenal ulcer may have a secondary diagnosis such as hypertension, which is not considered significant enough to complicate the DRG, a complication such as ileus, or a major complication such as perforation or heart failure. Depending on the clinical circumstances, a patient admitted with a principal diagnosis of duodenal ulcer could have any of 3 DRGs.

      Of all the information contained in the medical record, coders can use only documentation by physicians who are directly caring for the patient during that admission. This includes documentation by resident physicians, physician assistants, or nurse practitioners if the attending documents agreement. Notes of nurses and allied health professionals cannot be used. Consultants' notes can also be used for coding, except when their findings contradict those of the attending physician. In this case, 1 of 2 things can happen. The coder may use the documentation of the attending physician or, if clarification of the appropriate diagnosis or procedure is necessary, query the attending physician. Pathology and radiology reports and laboratory findings cannot be used unless the diagnoses are documented by the attending.

      Because coders can use only documentation that follows universal terminology, physicians need to understand coding principles and learn to document using appropriate terminology.2, 3 This includes documentation of diagnoses, conditions, symptoms, or procedures defined by CMS. The large number of vagaries in the coding vernacular used by CMS sometimes makes this lexicon confusing and difficult for physicians. To ensure appropriate documentation, physicians must abandon doctorese, the shorthand vernacular that is commonly used for documentation. Even when a coder is able to correctly infer the diagnosis, he or she cannot use this information because the diagnosis was not specifically documented. It will either be lost or generate a query; both are negative consequences for the hospital and physician because reimbursement might be inappropriately low and the true level of severity of illness might not be appreciated.

      Examples of this are myriad (see Appendix B) and include the following:

      • Shorthand notation, such as Na (hyponatremia) and plts, (thrombocytopenia) is not acceptable; the actual diagnosis must be written.

      • Often, there is no documentation of the diagnosis at all, but physicians read between the lines to glean the diagnosis. A note states dysuria followed by +U/A, leaving the assessment blank. The plan says ciprofloxin 500BID X 3d. Most physicians recognize this as shorthand for an uncomplicated urinary tract infection, but the documentation is incomplete because the assessment is omitted, and the coders will not be able to code.

      • A note documents an abnormal laboratory value that is intended to reflect a diagnosis (eg, Na+ = 117, restrict fluids). Coders likely understand that hyponatremia is the diagnosis, but they cannot code it because coding rules state it is only an abnormal laboratory value, not a diagnosis. Hyponatremia must be written in the medical record.

      In most circumstances, a few simple guidelines will help:

      • Avoid abbreviations. Full diagnoses should be written in longhand rather than abbreviations or symbols. Use a diagnosis when appropriate, rather than just the symptom, such as hypoxia for dyspnea.

      • Write complete SOAP notes. Always document the diagnosis for which any treatment is rendered or evaluation performed. In other words, always write complete SOAP notes, not SOP notes.

      • Become familiar with rules and concepts of coding and documentation. Some peculiarities of coding rules make little sense to physicians and may appear arbitrary. Certain diagnoses, conditions, or descriptive terms that physicians commonly use cannot be used for coding purposes. These peculiarities will simply need to be learned or handled by queries from coders or real‐time chart review by coding personnel. For example, although exacerbation of chronic obstructive pulmonary disease is recognized in coding rules, exacerbation of congestive heart failure codes to a nonspecific code, and the physician must document it as acute on chronic or acute congestive heart failure. Likewise, the new terminology adopted by the National Kidney Foundation for acute renal failure, acute kidney injury, has no code. Because both of these diagnoses serve as major comorbidities, they have major financial implications for hospitals.

      • Be thorough. All clinically significant conditions noted should be documented and coded. According to CMS rules, a condition, whether major or minor, is clinically significant if it requires any of the following:4

        • Clinical evaluation

        • Therapeutic treatment

        • Diagnostic procedures

        • Extended length of hospital stay

        • Increased nursing care and/or monitoring.

        • Avoid rule‐out diagnoses. It is perfectly acceptable to qualify an uncertain diagnosis. For example, suspected pneumonia can be documented as probable or possible. If you document it as such and empirically treat for pneumonia, the coder may document pneumonia as the diagnosis. Diagnoses that have been ruled out should not be documented. For example, a patient is admitted with neutropenic fever and suspected sepsis. The patient may be given empirical therapy, but if sepsis is ruled out and the treatment is stopped, sepsis is not an appropriate diagnosis.

        • Identify the principal diagnosis. The principal diagnosis is defined as the condition responsible for the patient's admission to the hospital. All other diagnoses are secondary. If a patient enters the hospital because of sepsis of urinary origin but during the hospitalization develops pneumonia that extends the stay, the principal diagnosis from which the DRG is derived remains sepsis of urinary origin. The only exception is the patient with several conditions, any of which would have independently required hospitalization and treatment. In this case, the coders have the option of selecting the principal diagnosis from among the possible principal diagnoses if each is treated with essentially equal effort.

        • Include relevant secondary diagnoses. Another complexity and frustration regarding the coding rules is that they are often highly specific and follow a logic of their own. For coding purposes, upper gastrointestinal bleeding is a diagnosis without comorbidity. However, adding the secondary diagnosis of blood loss anemia increases the case weight by adding a comorbidity, and documenting esophageal hemorrhage adds a major comorbidity, further increasing the case weight. Coders may not, by Medicare rules, prompt or lead physicians to the proper term. If the physician documents upper gastrointestinal bleed, anemia, and esophagitis, the coder cannot ask, Was the esophagitis the cause of the anemia?

        Other Considerations

        Although coders cannot use documentation from nurses and allied health professionals, their notes often provide clues to issues that the physician may have failed to document. For example, a patient with significant postoperative nausea and vomiting may be treated and followed carefully by the physicians and improve despite no physician documentation. The information contained in the nursing notes can generate a query to the physician to clarify the diagnosis that required treatment for significant nausea and vomiting.

        Under the new guidelines, diagnoses present on admission must be distinguished from diagnoses occurring after admission. CMS is very concerned about reducing the incidence of preventable nosocomial events such as decubitus ulcers and catheter‐associated infections. In an attempt to push hospitals to reduce or eliminate the incidence of these adverse events, CMS no longer reimburses certain diagnoses for the added cost of care when these events occur. If a patient leaves the hospital with a catheter‐associated urinary tract infection, CMS assumes that it was hospital‐acquired unless it was clearly documented as present on admission (see Appendix A). It is likely that the list will grow over time; in fact, CMS is considering adding ventilator‐associated pneumonia, Staphylococcus aureus septicemia, and deep venous thrombosis/pulmonary embolism in 2009. Thus, it is important to develop systematic methods to ensure that all diagnoses present on admission are captured and that diagnoses which developed during the hospitalization are acknowledged. A diagnosis present on admission but not recognized until after admission can be documented as present on admission. Another category will also be apparent occasionally in which it cannot be known whether a condition was present on admission or occurred following hospitalization.

        PREPARING TO COMPLY WITH MS‐DRG GUIDELINES

        Information from Maryland hospitals that have piloted the MS‐DRG methodology indicates that coders will be 25% to 50% less efficient (private communication), largely because of increased communication (queries) between coders and physicians to clarify medical documentation. Queries may be generated whenever the record lacks codable documentation or information is missing, conflicting, ambiguous, or illegible. Most hospitals will need to increase their coding staff and hire or develop educators to teach coders and physicians medical terminology. Many of these educators will need experience in both coding and medicine and will generally require at least an RN degree or the equivalent.5, 6 Hiring experienced coders with a medical background is currently a challenge as many hospitals are responding to the new guidelines, and they are in high demand. Many hospitals will need to upgrade the skills of existing coders or medical personnel to fill these roles. Hospitals that invest in additional coders to train physicians in coding terminology may eventually regain efficiency in the coding process; however, it seems likely that some degree of additional clarification will always be needed.

        Hospitals should develop educational programs, including didactic presentations that define the new MS‐DRGs, outline the risks and benefits of the new rules, and provide examples of universal terminology. They should provide handouts, pocket guides, and electronic medical record prompts with coding terminology and frequently asked questions. Specific physician feedback may occur on an individual, departmental, or DRG basis or on the basis of the International Statistical Classification of Diseases and Related Health Problems, 9th edition. Coding specialists need to be available to provide real‐time chart review and answer specific physician inquiries on coding and documentation questions. Physician buy‐in is essential and can be encouraged through careful education, administrative support, and physician champions.

        INCENTIVE AND DISINCENTIVES: HOW TO MAXIMIZE COMPLIANCE AMONG PHYSICIANS AND HOSPITALS (AND WHY IT IS SO IMPORTANT)

        The new coding rules affect only hospital reimbursement, so physicians get no direct benefit from ensuring that hospitals obtain the maximum appropriate reimbursement. However, physicians indirectly benefit when hospitals have strong profit margins, which allow for improved staffing levels, capital expenditures, additional services, programs, and growth. Any physician who has worked in institutions that operate in the red and in the black fully understands how important hospital revenue is to morale, efficiency, and work satisfaction.

        The importance of properly evaluating quality of care cannot be overestimated. CMS, the Joint Commission on the Accreditation of Healthcare Organizations, and other oversight bodies have emphasized this through guidelines, legislation, and financial incentives.7 Pay for performance, value‐based purchasing, and performance indicator data are terms commonly understood by physicians. Hospitals and physicians benefit from improved quality measurements, which are affected by coding and documentation. Without appropriate coding and documentation, institutions that care for the very sickest patients cannot demonstrate their true severity of illness. Increases in morbidity, mortality, and length of stay will not correlate with the documented severity of illness, adversely skewing quality data and affecting hospitals' reputations. Hospitals that do not adequately account for the severity of the patients that they treat and accurately adjust their performance measures for severity will face increasingly difficult challenges to their financial stability and reputation in the future.8 The ability to demonstrate favorable quality report cards2, 3 represents an increasingly important incentive for hospitals.9 Finally, it is important to realize the multitude of functions supported by good documentation in the medical record. The record is also important for quality measurement, protection from liability, evaluation of resource utilization, tumor and other medical data registries, and other uses (see Appendix A).

        CONCLUSION

        The MS‐DRG system has important implications for physicians and hospitals. The changes will allow CMS to understand more fully the severity of illness of hospitalized patients. It replaces a system that derived a DRG from a single principle diagnosis and in some cases a single comorbidity with one that reflects all conditions. Comorbidities and complications are designated as major, minor, or no complication. Because multiple parties use the medical record for many different functions, better documentation of specificity of severity of illness will affect hospitals in many ways. Importantly, one of these will be reimbursement. Hospitals that historically have had a higher level of severity will now see that reflected in their case mix and may actually see improved reimbursement. Another area that will be affected is quality measurement. If severity of illness is not appropriately documented and accounted for, hospitals could exhibit skewed outcomes of care. For example, if hospitals with sicker (on average) patients document a lower indicator of severity than the true severity of its patients, their mortality experience might appear to be abnormally high in comparison with other hospitals. This can damage reputations and thus affect many things such as patient referrals and utilization of services. This becomes particularly important in a competitive medical market and at a time when patients have increased access to hospital‐specific data on quality of care.

        The new guidelines also require medical documentation to capture diagnoses present on admission as opposed to conditions that arise during hospitalization. If not recorded as present on admission, selected conditions will be considered iatrogenic complications and will not receive additional reimbursement. CMS intends this as an incentive for hospitals to improve quality of care by developing safeguards against complications.

        It is likely that hospitals will take different approaches to ensuring that medical record documentation skills are taught and adopted by physicians. As different approaches evolve, hopefully best practices will emerge that can be disseminated. These efforts should be taken to ensure appropriate documentation prospectively rather than heavy reliance on a retrospective review and query process, which can be inefficient and expensive, intrusive to physician workflow, and possibly subject to third‐party criticism.

        It is vital for hospital senior managers to gain physician input and involvement in both the design and implementation of the programs outlined in this article and to provide them with adequate resources and administrative support throughout the educational process. Ultimately, developing a program that enhances and sustains the medical record documentation skills of its medical staff is critical to the well‐being of any hospital. Accepting the new changes and making the changes necessary to ensure success is certainly an additional burden on physicians; many, if not most, of whom likely feel overworked and overburdened by the many demands on their time. Although they may not derive personal benefit for changing their behaviors, physicians should nevertheless understand the importance of appropriate documentation for the purposes of quality assessment, reimbursement, and resource allocation.

        Appendix

        APPENDIX A: SELECTED PENNSYLVANIA AND NATIONAL DATABASES USING MEDICAL RECORDS

        0

        Joint Commission on Accreditation of Healthcare Organizations (JCAHO)
        United Hospital Consortium (UHC)
        Pennsylvania Health Center Cost Containment Council (PHC4)
        United Network for Organ Sharing (UNOS)
        National Cancer Data Base (NCDB)
        National Database of Nursing Quality Indicators (NDNQI)
        National Association of Children's Hospitals and Related Institutions (NACHRI)
        Pennsylvania Trauma Systems Foundation (PTSF)
        American College of Cardiology (ACC)
        National Endoscopy Data Base (NEDB)
        National Surgery Quality Improvement Program (NSQIP)
        Society of Thoracic Surgery (STS)
        Uniform Data System for Medical Rehabilitation (UDSMR)

        Appendix

        APPENDIX B: NOTES TAKEN DIRECTLY FROM THE MEDICAL RECORD

        0

        What the MDs Document (Doctorese) What They Mean (Diagnosis/ Universal Terminology) Coding Result
        plts, Tx 4U plts Thrombocytopenia Coders cannot decipher
        Na+ = 117, fluid restrict Hyponatremia Abnormal laboratory test; cannot code
        O2 sat 80, NC @ 4 l/min Hypoxia Coders cannot decipher
        Alb = 2.4, diet consult, start suppl Malnutrition Abnormal laboratory test; cannot code
        IV NS 250/hr, 2U Tx, GI bleed Hypovolemia, blood loss anemia Coders cannot decipher
        BP, fever, MS, +UA Sepsis of urinary origin Urinary tract infection

        Appendix

        APPENDIX C: HOSPITAL‐ACQUIRED CONDITIONS OF FOCUS TO THE CENTERS FOR MEDICARE AND MEDICAID SERVICES FOR 2008

        0

        Serious preventable event: object left in surgery
        Serious preventable event: air embolism
        Serious preventable event: blood incompatibility
        Catheter‐associated urinary tract infections
        Vascular catheterassociated infections
        Surgical site infection: mediastinitis after coronary artery bypass surgery
        Hospital‐acquired injuries: fractures, dislocations, intracranial injury, crushing injury, burn, and other unspecified effects of external causes

        Appendix

        APPENDIX D: STRATEGIES FOR SUCCESS WITH MEDICARE SEVERITY DIAGNOSIS‐RELATED GROUPS

        0

        Educational initiatives
        Introductory didactic presentations
        Online tutorial: coding and documentation
        Periodic memos with coding tips (Tip of the Month)
        Web site references on coding tips (comprehensive list)
        Posters, announcements, and branding
        Physician support services
        Web site reference with FAQs
        Direct contact with coding specialists
        RN/coding specialist liaison
        Computerized medical record
        Staff feedback associated with query process
        Physician champions
        Coding department changes
        Increased staffing
        RN/coding specialist: real‐time chart reviews
        Physician coding specialist
        Standing Coding and Documentation Committee

        Appendix

        APPENDIX E: SELECTED CODING TIPS FOR GENERAL MEDICINE

        0

        • Abbreviations: CVA, cerebrovascular accident; NOS, not otherwise specified; PMH, past medical history.

        Disease/condition specific tips
        Gastrointestinal bleed with anemia does not mean that the patient is anemic from the hemorrhage: write blood loss anemia (chronic or acute).
        Urosepsis codes to urinary tract infection site NOS: write sepsis with urinary origin.
        CVA or stroke does not mean infarction: write CVA with infarction.
        Common complications and comorbidities
        Cardiac: acute myocardial infarction, congestive heart failure, atrial flutter, paroxysmal supraventricular tachycardia, heart block, and second‐degree heart block
        Gastrointestinal: melena, ascites, hepatitis, and hematemesis
        Genitourinary: urinary retention, hematuria, urinary tract infection, hydronephrosis, and renal failure
        Nutritional: dehydration, malnutrition, cachexia, and volume overload
        Gastrointestinal: peritonitis, perforation, bleeding esophageal varices, ascites, and ileus
        Genitourinary: acute renal failure, end‐stage renal disease, urinary tract infection, and nephritic syndrome
        Nutritional: severe malnutrition, body mass index > 40, malnutrition NOS, and cachexia
        Pulmonary: respiratory failure, aspiration pneumonia, pneumothorax, atelectasis, and hemoptysis
        General tips
        A culture must be linked to the site of infection: write pseudomonas pneumonia.
        Ambulatory dysfunction and deconditioning lack the required specificity to ensure accurate coding; when possible, use abnormal gait, difficulty walking, muscle weakness, and so forth.
        If the patient appears to be septic, positive blood cultures are not necessary to document sepsis.
        Discriminate between acute, chronic, and acute on chronic.
        If the problem is active, do not write history of , which implies that the condition no longer exists: write PMH: chronic (diagnosis).
        Be specific in documenting congestive heart failure (acute/chronic, systolic/diastolic failure, L/R).
        References
        1. Centers for Medicare and Medicaid Services. Medicare Program: Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/cms‐1533‐fc.pdf. Accessed October2008.
        2. Armstrong CM,Bryant GH,Cummins RA,Paret CJ,Rutledge KL.Straight talk: new approaches in healthcare. Rx for reimbursement woes: high‐quality medical documentation and coding. Panel discussion.Mod Healthc.2007;32(29):3538.
        3. Cole BJ,Flics S,Levine DB.Optimizing hospital reimbursement through physician awareness: a step toward better patient care.Orthopedics.1998;21(1):7983.
        4. ICD‐9‐CM Official Guidelines for Coding and Reporting (effective October 1, 2007). Available at:http://www.cdc.gov/nchs/datawh/ftpserv/ftpicd9/icdguide07.pdf. Accessed October2008.
        5. Hicks TA,Gentleman CA.Improving physician documentation through a clinical documentation management program.Nurs Adm.2003;27(4):285289.
        6. Beaty L.A primer for understanding diagnosis‐related groups and inpatient hospital reimbursement with nursing implications.Crit Care Nurs.2005;28(4):360369.
        7. US Department of Health and Human Services. Report to Congress: Plan To Implement a Medicare Hospital Value‐Based Purchasing Program. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/hospitalvbpplanrtcfinalsubmitted2007.pdf. Accessed October2008.
        8. Poses RM,McClish DK,Smith WR, et al.Results of report cards for patients with congestive heart failure depend on the method used to adjust for severity.Ann Intern Med.2000;133:1020.
        9. Rollow W,Lied TR,McGann P, et al.Assessment of the Medicare quality improvement organization program.Ann Intern Med.2006;145(5):342353.
        References
        1. Centers for Medicare and Medicaid Services. Medicare Program: Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/cms‐1533‐fc.pdf. Accessed October2008.
        2. Armstrong CM,Bryant GH,Cummins RA,Paret CJ,Rutledge KL.Straight talk: new approaches in healthcare. Rx for reimbursement woes: high‐quality medical documentation and coding. Panel discussion.Mod Healthc.2007;32(29):3538.
        3. Cole BJ,Flics S,Levine DB.Optimizing hospital reimbursement through physician awareness: a step toward better patient care.Orthopedics.1998;21(1):7983.
        4. ICD‐9‐CM Official Guidelines for Coding and Reporting (effective October 1, 2007). Available at:http://www.cdc.gov/nchs/datawh/ftpserv/ftpicd9/icdguide07.pdf. Accessed October2008.
        5. Hicks TA,Gentleman CA.Improving physician documentation through a clinical documentation management program.Nurs Adm.2003;27(4):285289.
        6. Beaty L.A primer for understanding diagnosis‐related groups and inpatient hospital reimbursement with nursing implications.Crit Care Nurs.2005;28(4):360369.
        7. US Department of Health and Human Services. Report to Congress: Plan To Implement a Medicare Hospital Value‐Based Purchasing Program. Available at:http://www.cms.hhs.gov/acuteinpatientpps/downloads/hospitalvbpplanrtcfinalsubmitted2007.pdf. Accessed October2008.
        8. Poses RM,McClish DK,Smith WR, et al.Results of report cards for patients with congestive heart failure depend on the method used to adjust for severity.Ann Intern Med.2000;133:1020.
        9. Rollow W,Lied TR,McGann P, et al.Assessment of the Medicare quality improvement organization program.Ann Intern Med.2006;145(5):342353.
        Issue
        Journal of Hospital Medicine - 4(2)
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        Journal of Hospital Medicine - 4(2)
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        Coding and documentation: Medicare severity diagnosis‐related groups and present‐on‐admission documentation
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        Coding and documentation: Medicare severity diagnosis‐related groups and present‐on‐admission documentation
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        Newer Antifungal Agents

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        Clinical indications for newer antifungal agents

        Therapy of serious fungal infections, for decades largely limited to the deoxycholate (regular) preparation of amphotericin B (D‐AmB), expanded significantly with the introduction of fluconazole, followed by lipid‐based formulations of amphotericin B (L‐AmB) and itraconazole. More recently the antifungal armamentarium has broadened further with the approval of voriconazole and posaconazole, as well as the echinocandins caspofungin, micafungin, and anidulafungin. Clinicians, including hospitalists, primary care, emergency medicine, and critical care physicians, may find it challenging to remain abreast of indications for these novel agents, and we review these below, with a focus on adult patients. Manuscripts used in the review were identified by a search of English‐language articles in the PubMed MEDLINE database from 1994 to the present, using the keywords triazoles, echinocandins, voriconazole, posaconazole, caspofungin, micafungin, anidulafungin, candidemia, candidiasis, aspergillosis, invasive Aspergillus, zygomycosis, febrile neutropenia, endemic mycosis, histoplasmosis, and coccidioidomycosis. In addition, reference lists for the majority of the identified manuscripts were hand‐searched for additional pertinent citations.

        Table 1 summarizes the newer systemic antifungal therapies and Table 2 summarizes the significant drug‐drug interactions with the newer antifungals.

        Newer Systemic Antifungal Therapies
        Antifungals Trade Name FDA‐Approved Indications Usual Adult Dosing Adverse Effects
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; Janurary 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: BID, two times daily; HSCT, hematopoietic stem cell transplantation; IV, intravenously; PO, by mouth; TID, three times daily.

        Azoles
        Voriconazole Vfend Invasive aspergillosis. Intravenous: 6 mg/kg IV every 12 hours, then 4 mg/kg IV every 12 hours. Transient visual disturbances (up to 30% in trials), rash, increases in hepatic enzymes, severe hepatotoxicity, and hallucinations.
        Candidemia in nonneutropenic patients and the following Candida infections: disseminated infections in skin and infections in abdomen, kidney, bladder wall, and wounds. Oral: 200 mg PO every 12 hours if 40 kg, 100 mg PO every 12 hours if <40 kg. Accumulation of sulfobutyl ester ‐cyclodextrin, a solubilizing excipient, may occur in patients with creatinine clearance <50 mL/minute receiving the intravenous formulation.
        Esophageal candidiasis.
        Fungal infections due to Scedosporium apiospermum (asexual form of Pseudallescheria boydii) and Fusarium spp. including Fusarium solani, in patients intolerant of, or refractory to, other therapy.
        Posaconazole Noxafil Prophylaxis of invasive Aspergillus and Candida infections in patients, 13 years of age and older, who are at high risk of developing these infections due to being severely immunocompromised, such as HSCT recipients with graft‐versus‐host disease or those with hematologic malignancies with prolonged neutropenia from chemotherapy. Prophylaxis of invasive fungal infections: 200 mg (5 mL) PO TID. Fever, headache, dry mouth, dizziness, fatigue, nausea, vomiting, diarrhea, rash, QT interval prolongation, and elevation of hepatic enzymes.
        Oropharyngeal candidiasis, including oropharyngeal candidiasis refractory to itraconazole and/or fluconazole. Oropharyngeal candidiasis: loading dose of 100 mg (2.5 mL) PO BID on day 1, then 100 mg (2.5 mL) PO once daily.
        Oropharyngeal candidiasis refractory to itraconazole and/or fluconazole: 400 mg (10 mL) PO BID.
        To enhance oral absorption, administer with a full meal or liquid nutritional supplement.
        Echinocandins
        Caspofungin Cancidas Empirical therapy for presumed fungal infections in febrile, neutropenic patients. All indications: 70 mg IV loading dose 1, followed by 50 mg IV daily. Phlebitis, elevation of hepatic enzymes, headache, fever, nausea, vomiting, leukopenia, and histamine mediated symptoms including rash, pruritus, facial swelling, and vasodilatation.
        Candidemia and the following Candida infections: intraabdominal abscesses, peritonitis, and pleural space infections. No loading dose required for esophageal candidiasis.
        Esophageal candidiasis.
        Invasive aspergillosis in patients who are refractory to or intolerant of other therapies (ie, amphotericin B, lipid formulations of amphotericin B, and/or itraconazole).
        Micafungin Mycamine Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses. Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses: 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 150 mg IV daily.
        Prophylaxis of Candida infections in patients undergoing HSCT. Prophylaxis of Candida infections in HSCT recipients: 50 mg IV daily.
        Anidulafungin Eraxis Candidemia and other forms of Candida infections (intraabdominal abscess, peritonitis). Candidemia/other Candida infections: 200 mg IV loading dose 1, followed by 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 100 mg IV loading dose 1, followed by 50 mg IV Q daily thereafter.
        Significant Drug‐Drug Interactions with the Newer Antifungals
        Antifungal Effect Interacting Drugs
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; January 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: HMG‐CoA, 3‐hydroxy‐3‐methyl‐glutaryl‐coenzyme A; HIV, human immunodeficiency virus.

        Voriconazole Decreased azole serum concentration Rifampin, rifabutin, carbamazepine, long‐acting barbiturates, efavirenz, high‐dose ritonavir (400 mg twice daily), phenytoin
        Increased azole serum concentration Oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, and nonnucleoside reverse transcriptase inhibitors other than efavirenz
        Increased serum concentration of coadministered drug Sirolimus, rifabutin, efavirenz, terfenadine, astemizole, cisapride, pimozide, quinine, cyclosporine, methadone, tacrolimus, oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, nonnucleoside reverse transcriptase inhibitors other than efavirenz, benzodiazepines, HMG‐CoA reductase inhibitors, dihydropyridine calcium channel blockers, vinca alkaloids, omeprazole, phenytoin, warfarin, sulfonylurea oral hypoglycemics, and ergot alkaloids
        Posaconazole Decreased azole serum concentration Cimetidine, rifabutin, phenytoin
        Increased serum concentration of coadministered drug Cyclosporine, tacrolimus, rifabutin, midazolam, pheytoin, terfenidine, astemizole, pimozide, cisapride, quinidine, ergot alkaloids, vinca alkaloids, sirolimus, HMG Co‐A reductase inhibitors, and calcium channel blockers
        Caspofungin Decreased serum concentration of caspofungin Efavirenz, nevirapine, phenytoin, dexamethasone, and carbamazepine
        Increased serum concentration of caspofungin Cyclosporine
        Decreased serum concentration of coadministered drug Tacrolimus
        Micafungin Increased serum concentration of coadministered drug Sirolimus, nifedipine, and itraconazole
        Anidulafungin No clinically relevant drug‐drug interactions

        INVASIVE CANDIDIASIS

        Candida has become a leading cause of nosocomial bloodstream infections, and is associated with an attributable mortality of 15% to 25%.1 Candidemia results in an estimated 10‐day increase in hospital length of stay, as well as an average $40,000 (US) increase in costs.2 Invasive candidiasis may be defined as catheter‐related candidemia, other hematogenously disseminated disease, or visceral involvement.3 Risk factors are present in most patients with invasive candidiasis, and include broad‐spectrum antibiotics; parenteral nutrition; central catheters; hospitalization in the intensive care unit setting; renal failure; burns; gastrointestinal and cardiac surgery; and colonization with Candida, particularly at multiple sites.1, 2

        Historically, treatment of invasive candidiasis consisted of D‐AmB, with fluconazole largely but not completely replacing amphotericin after prospective trials demonstrated comparable efficacy with markedly improved tolerability. Fluconazole has poor or uncertain activity against C. krusei and C. glabrata, however, leading to reluctance on the part of many clinicians to use it for non‐C. albicans infection (or empirically in the unstable patient). Others have raised concerns regarding the use of fluconazole even for C. albicans in the setting of an unstable or neutropenic patient, given its fungistatic rather than fungicidal activity, although this is a theoretical rather than proven shortcoming.1 Current Infectious Diseases Society of America (IDSA) guidelines for the treatment of candidemia recommend the use of caspofungin, fluconazole, D‐AmB, or the combination of D‐AmB and fluconazole.4 The IDSA recommendations are under revision, however, and we summarize newer evidence below.

        Mora‐Duarte et al.,5 in a 2002 trial, randomized patients with invasive candidiasis to caspofungin or D‐AmB, and found a favorable response in 73% and 62%, respectively, which fell just short of statistical significance. Caspofungin was better tolerated than D‐AmB, and the authors concluded that caspofungin was at least as effective as D‐AmB, with fewer adverse effects.5 A 2007 study randomized invasive candidiasis patients to micafungin or L‐AmB, and reported similar efficacy in both arms, with less drug‐related adverse events in the echinocandin‐treated group.6 Reboli et al.7 conducted a noninferiority trial comparing anidulafungin to fluconazole, and found a significantly superior outcome in the anidulafungin arm. Perhaps surprisingly, the outcome difference between the 2 groups was greater for C. albicans than for any other species.7 Although the large majority of patients in the preceding trials had candidemia, one study demonstrated a favorable response to caspofungin in 81% of patients with invasive candidal infections other than candidemia.8

        Fewer data exist regarding the use of newer azoles for the treatment of invasive candidiasis. Ostrosky‐Zeichner et al.3 utilized voriconazole as salvage therapy in 52 patients with invasive candidiasis either refractory to or intolerant of other antifungals (almost all of whom had failed therapy with D‐AmB and/or other azoles), and found a 56% favorable response rate in this challenging population. More recently, Kullberg et al.9 studied voriconazole versus D‐AmB followed by fluconazole in candidemic patients, with a similar outcome but somewhat better tolerability in the voriconazole arm. We are unaware of comparative studies involving posaconazole for invasive candidiasis.

        In summary, although fluconazole is the drug of choice for most invasive candidal infections, the initial use of an echinocandin should be considered when infection with a non‐C. albicans species is likely, particularly if the patient is unstable. Provided the organism later proves likely to be sensitive, switching to fluconazole is reasonable, particularly given the absence of an oral echinocandin formulation. The 3 currently available echinocandins appear to be interchangeable for the treatment of serious Candida infections.

        NEUTROPENIC FEVER

        Neutropenia is the most critical factor leading to infection in patients with cancer. Empiric treatment with broad‐spectrum antimicrobials should be initiated at the first sign of infection, since delay can lead to increased mortality.10 There are numerous causes for fever in the neutropenic host, although bacterial infection is most common. Fungal infections can cause unexplained fever and should be considered in neutropenic patients who remain febrile despite broad‐spectrum antibiotics.

        Fungal infections in the neutropenic host can have severe consequences. Given their high morbidity and mortality and a lack of effective diagnostic techniques for early detection, empiric antifungal therapy is mandatory in the appropriate setting. Antifungal therapy should be considered in patients who remain febrile and neutropenic for 5 days despite broad‐spectrum antibiotics. The most common fungal pathogens include Candida and Aspergillus spp.11 Other considerations include the emergence of non‐albicans Candida infections and other opportunistic pathogens such as Zygomycetes (Mucor and related pathogens), Fusarium spp, and Scedosporium spp.

        Empiric antifungal coverage in the neutropenic host has evolved over the past 2 decades, with the first trials demonstrating the utility of empiric antifungal treatment in the neutropenic host published in the 1980s. These trials demonstrated that addition of D‐AmB to broad spectrum antibiotics decreased development of fungal infections, and led to better outcomes.12, 13 While these studies established D‐AmB as standard empiric antifungal therapy in neutropenic fever, nephrotoxicity and infusion‐related reactions limited its subsequent use as less toxic alternatives were developed. The lipid formulations of amphotericin B, in particular liposomal AmB and amphotericin B lipid complex, have been shown to be as effective as D‐AmB for empiric treatment of febrile neutropenia, with less toxicities but significantly higher expense.14, 15 The older generation azoles itraconazole and fluconazole have also been studied. Itraconazole has been proven to be as effective as D‐AmB in febrile neutropenia with less toxicity; however, the oral capsule has erratic absorption and should be used cautiously.16

        Newer agents studied for use in febrile neutropenia include caspofungin and voriconazole. Caspofungin is active against azole‐resistant Candida spp and Aspergillus spp with a favorable toxicity profile, making it an attractive candidate for use in febrile neutropenia. Caspofungin was compared to L‐AmB as empiric antifungal therapy in a randomized double‐blind trial of 1,095 patients with febrile neutropenia.17 The overall success rate was essentially identical for both agents, demonstrating noninferiority of caspofungin therapy. Among patients with baseline fungal infections, significantly more patients receiving caspofungin than L‐AmB had successful outcomes (52% versus 26%, P = 0.04). Overall, caspofungin was better tolerated and associated with fewer complications than L‐AmB.17 The other available echinocandins, micafungin and anidulafungin, have not yet been studied for febrile neutropenia in randomized, controlled fashion.

        Voriconazole is a second‐generation azole with activity against fluconazole‐resistant Candida strains; however, the minimum inhibitory concentrations (MICs) are proportionally higher, suggesting a possible cross‐resistance mechanism among highly azole‐resistant strains.18 Voriconazole is active against most Aspergillus spp, Fusarium spp, and Scedosporium apiospermum.19 Voriconazole was compared to L‐AmB in an open‐label, randomized trial of 837 patients with febrile neutropenia.20 Patients were stratified according to risk of fungal infection and previous antifungal prophylaxis. Toxic side effects were similar in both groups. Less breakthrough fungal infections were seen in the voriconazole group; however, there were more discontinuations due to lack of efficacy in patients receiving voriconazole compared to L‐AmB. The overall success rate was 26% with voriconazole and 31% with L‐AmB (95% confidence interval [CI] for absolute difference in success rates: 10.6% to 1.6%), with the low figures reflective not only of infection severity, but also gravity of underlying disease, persistent fever presumably not of fungal origin, and adverse drug effects. Because the predetermined definition of noninferiority for the confidence interval difference between the groups was not met, the U.S. Food and Drug Administration (FDA) voted against approval of voriconazole for febrile neutropenia.

        Overall, the role of newer antifungals in the treatment of febrile neutropenia is evolving. Based on current evidence, we prefer caspofungin as the treatment of choice for patients with febrile neutropenia because of its low toxicity profile and good clinical spectrum against most likely pathogens. D‐AmB has long been the gold standard; however, due to toxicity concerns, lipid‐based formulations have largely replaced it, with a notable increase in cost. Voriconazole cannot be recommended at this time based on failure to meet the noninferiority endpoint when compared to L‐AmB. However, for cases in which there is a high suspicion of invasive aspergillosis infection, voriconazole should be considered.

        INVASIVE ASPERGILLOSIS

        Invasive aspergillosis infection has become an increasing threat in immunocompromised patients, including those treated for cancer, undergoing organ transplantation, or with advanced human immunodeficiency virus (HIV) infection. In particular, patients being treated for hematologic malignancies and those undergoing hematopoietic stem cell transplant (HSCT) are at highest risk, due to prolonged, severe neutropenia. Infection with invasive aspergillosis also occurs when steroids are used for treatment of graft‐versus‐host disease in the HSCT population.

        Aspergillus species are saprobic molds found ubiquitously in nature. Most diseases are caused by Aspergillus fumigatus, followed by A. flavus, A. niger, and A. terreus. Infection with Aspergillus can cause a wide spectrum of illnesses, ranging from allergic reactions to fulminant, lethal infections. The lungs are the most common site of primary invasive disease and are associated with high mortality, especially in severely immunocompromised patients.21 Infection is rapidly progressive and can be refractory to treatment, due to the organism's ability to grow quickly and invade blood vessels. Susceptible patients are unable to control infection and thus at high risk for dissemination and death. Prompt administration of an effective antifungal agent is necessary upon suspicion of invasive disease.

        The choice of antifungals for invasive Aspergillus infection has grown significantly over the past decade. Current FDA‐approved agents with activity and indications for Aspergillus infection include D‐AmB and its lipid formulations, itraconazole, voriconazole, posaconazole, and caspofungin. D‐AmB and voriconazole are the only agents licensed in the US for the primary treatment of invasive aspergillosis, with D‐AmB the sole therapeutic option until recently. The lipid formulations of amphotericin B, itraconazole, and caspofungin are approved for salvage therapy. Posaconazole is licensed for prophylaxis of invasive aspergillosis in patients who are severely immunocompromised, including those with HSCT and graft‐versus‐host disease as well as those with hematologic malignancies and prolonged neutropenia. Besides caspofungin, the other available echinocandins, micafungin and anidulafungin, are active against Aspergillus species, but not yet FDA‐approved for this indication.

        Voriconazole has replaced D‐AmB as the primary treatment of invasive pulmonary aspergillosis.21 Voriconazole was compared to D‐AmB in a randomized, multicenter, open‐label trial of 277 immunocompromised patients with definite or probable disease. The underlying condition in most patients was acute leukemia or allogeneic HSCT, and the majority of patients had invasive pulmonary disease. A successful outcome at week 12 was seen in 53% in the voriconazole group and 32% in the D‐AmB group, with survival rates of 71% and 58%, respectively; both differences were statistically significant. There were more adverse events in the D‐AmB group. Overall, the authors concluded that initial therapy with voriconazole led to better responses, improved survival and fewer side effects than D‐AmB.22

        Caspofungin and micafungin have been studied for use as salvage therapy in invasive Aspergillus infection. Caspofungin was studied in 83 patients with invasive aspergillosis refractory to or intolerant of D‐AmB, lipid formulations of amphotericin B, or triazoles, most of whom had hematologic malignancy and allogeneic HSCT. The majority of patients had invasive pulmonary aspergillosis, and a favorable response was seen in 45% of this extremely high‐risk population.23 Micafungin was evaluated in a phase II study as primary or salvage therapy for invasive aspergillosis in adults and children. Of the patients receiving micafungin alone, those receiving the drug as primary therapy had a 50% (n = 6/12) response rate, compared to 41% (9/22) in the salvage therapy group.24 Optimal dosing of micafungin for the treatment of Aspergillus has not yet been established.

        Posaconazole, the newest triazole antifungal, has been shown to be effective for the prevention of invasive aspergillosis in immunocompromised patients25, 26 and has also been studied for the treatment of invasive disease. In an open‐label trial, patients with invasive aspergillosis refractory or intolerant to conventional therapy were administered posaconazole, with historical controls as a comparator group.27 The majority of patients had underlying hematologic malignancies with approximately half undergoing HSCT, and most patients had pulmonary infection. The overall success rate was 42% for posaconazole and 26% for the control group. Posaconazole appeared to confer a survival benefit over control at 30 days and end of therapy (P = 0.0003).

        Based on current data, we recommend voriconazole for primary treatment of invasive pulmonary aspergillosis. Alternatives include L‐AmB, caspofungin, micafungin, or posaconazole; of these agents, only L‐AmB has been studied as primary (as opposed to salvage) therapy for invasive aspergillosis in a reasonably‐powered trial.28 We agree with current IDSA guidelines, which suggest L‐AmB as a possible alternative to voriconazole for primary therapy of invasive aspergillosis in some patients, particularly where drug‐drug interactions make the use of voriconazole problematic.21

        MUCOCUTANEOUS CANDIDIASIS

        Oropharyngeal candidiasis, or thrush, is a common infection in infants; those receiving antibiotics, chemotherapy or inhaled corticosteroids; and those with underlying immunodeficiency states. Esophageal candidiasis is most common in patients infected with HIV. Oral candidiasis usually does not cause symptoms, while esophageal disease is associated with odynophagia and dysphagia.

        Candida albicans is the most common cause of mucocutaneous candidiasis. Treatment of thrush usually entails topical antifungal agents such as clotrimazole troches or nystatin, or oral azoles such as fluconazole or itraconazole. Topical therapy is ineffective for esophageal candidiasis, and oral or intravenous azoles are required as first‐line therapy with fluconazole being preferred. The treatment of oral and esophageal candidiasis is often complicated by recurrence, especially in immunodeficient patients, and resistance to standard treatments occurs frequently. Identification of Candida to the species level should be performed in the setting of refractory mucocutaneous disease, as this may play a role in the choice of therapy. The 2004 IDSA Guidelines, currently under revision, contain recommendations for treatment of refractory mucocutaneous candidiasis.4 The guidelines recommend a trial of oral itraconazole for fluconazole‐refractory thrush. Intravenous caspofungin and D‐AmB are usually effective alternatives. For treatment of fluconazole‐refractory esophageal disease, the guidelines recommend itraconazole solution, voriconazole, or caspofungin, with D‐AmB recommended as second line therapy, though it is now seldom used in this setting due to significant adverse affects. Experience using newer antifungals is increasing, and these data are summarized below.

        Voriconazole has been shown at least as effective as fluconazole in the treatment of esophageal candidiasis in immunocompromised patients.29 A study involving 256 patients revealed success rates of 98% for voriconazole and 95% for fluconazole. C. albicans was the most common pathogen isolated. Perfect et al.30 demonstrated the utility of voriconazole for refractory esophageal candidiasis in 38 patients. A successful outcome was seen in 61% of patients treated with intravenous followed by oral voriconazole. The most common pathogen was C. albicans, although the series included several cases of infection with C. krusei.

        Caspofungin was compared to D‐AmB for the treatment of esophageal candidiasis in a multicenter, double‐blind, randomized trial of 128 patients.31 Caspofungin appeared to be at least as effective as D‐AmB, with a significantly higher incidence of drug‐related adverse effects seen in the D‐AmB arm. Caspofungin was also compared to fluconazole in a double‐blind, randomized trial of 177 patients with Candida esophagitis. Favorable responses were seen in 81% and 85% of caspofungin and fluconazole treated patients, respectively. A trend toward higher relapse rate 4 weeks after stopping therapy was seen with caspofungin compared to fluconazole, as was a trend toward superior eradication rates for C. glabrata in the caspofungin arm compared to the fluconazole arm, although neither reached statistical significance.32

        Micafungin was used for the treatment of esophageal candidiasis in a dose‐ranging trial of 245 HIV‐infected patients.33 Endoscopic combined cure rate for the 100 mg and 150 mg doses of micafungin (84%) was comparable to that of intravenous fluconazole 200 mg/day (87%). In the posttreatment period, 9 patients in the micafungin arm had a worsening of severity score or received nonprophylactic antifungal therapy. No patients in the fluconazole group experienced a relapse.

        Anidulafungin has been compared with fluconazole for the treatment of Candida esophagitis in a randomized, double‐blind trial of 601 patients, with an initial endoscopic success rate approaching 100% in both groups.34 The 2‐week follow‐up examination revealed that 64% and 90% of patients treated with anidulafungin and fluconazole, respectively, sustained endoscopic success (P < 0.001).

        Posaconazole was compared with fluconazole for treatment of thrush in 350 patients with HIV/acquired immunodeficiency syndrome (AIDS) in a randomized, blinded study.35 Both posaconazole and fluconazole were administered at a dose of 200 mg on day 1, followed by 100 mg/day. Clinical success occurred in 92% of patients receiving posaconazole and 93% receiving fluconazole. Mycological success was equivalent on day 14 in both arms; however, by day 42, significantly more posaconazole recipients continued to demonstrate mycological success. Posaconazole was recently evaluated for the treatment of azole‐refractory thrush and esophageal candidiasis in patients with advanced HIV infection, demonstrating a success rate of 75% in this population failing fluconazole or itraconazole therapy.36

        Multiple new agents are available for the treatment of mucocutaneous candidiasis. Aside from topical antifungals for the initial treatment of thrush, fluconazole remains first line systemic therapy for both oral and esophageal candidiasis due to safety, tolerability, and cost. For fluconazole‐refractory disease, newer choices include voriconazole, the echinocandins, and posaconazole. Voriconazole and posaconazole are attractive options given their oral availability. The relapse rates seen in trials with the echinocandins are concerning; however, these are useful options when azole resistance is suspected.

        ZYGOMYCOSIS

        Zygomycosis (often referred to less correctly as mucormycosis) is a devastating opportunistic fungal infection that appears to be increasing in frequency. Historically, zygomycosis has commonly occurred in poorly controlled diabetic patients, particularly in the setting of diabetic ketoacidosis, and classically results in rhinocerebral disease with a relatively poor outcome. In recent years, a striking increase has been seen in patients with more profound immunosuppression, particularly those with hematologic malignancies or undergoing HSCT. Sinopulmonary rather than rhinocerebral disease is the most common manifestation in this population.3739 Other well‐described risk factors include iron chelation therapy with deferoxamine, intravenous drug use, solid organ transplantation, metabolic acidosis, trauma, and burns. Disease is also occasionally seen in the seemingly immunocompetent, with 176 of 929 (19%) patients in a comprehensive review lacking an obvious risk factor.37, 40

        Invasive mold infections caused by the Zygomycetes are associated with a poor outcome, with Roden et al.37 reporting mortality in excess of 50% in their series. Mortality in patients with hematological malignancies has been reported to be particularly high.37, 38 The cornerstones of successful therapy include early detection of infection, correction or improvement of immunosuppression when possible, prompt surgical debridement of infected tissue, and appropriate antifungal therapy.40 D‐AmB has constituted standard zygomycosis therapy for decades, although it has recently been largely replaced by L‐AmB. Overall survival rates have been reported to be 61% and 69% with the use of D‐AmB and lipid preparations, respectively.37

        Given the relatively poor outcomes and substantial infusion‐related toxicity and nephrotoxicity associated with even liposomal preparations of AmB, considerable interest exists in the identification of alternative therapeutic agents. Unfortunately, echinocandins and most triazoles appear to have modest to no activity against Zygomycetes, with a recent case‐control study indicating that widespread use of voriconazole in high‐risk populations may be helping to drive the emergence of breakthrough zygomycosis.39 Posaconazole appears to be an exception, however; with in vitro and murine studies suggesting it compares favorably to D‐AmB in this setting.4143 Numerous case reports describe favorable outcomes with the use of posaconazole as salvage therapy for zygomycosis, and 2 recent retrospective studies support its role in this setting.44, 45 Currently, use of posaconazole for the treatment of zygomycosis is limited by the absence of an intravenous preparation, although this is reportedly under development.46 At present, the role of posaconazole in this setting appears limited to step‐down therapy in those patients who have responded appropriately to L‐AmB, and for salvage therapy. Although an intravenous preparation of posaconazole appears attractive as a first‐line agent for zygomycosis, currently studied patients (ie, those unresponsive to or intolerant of D‐AmB) may not be fully representative of a broader population, and clinical trials will be necessary before more definitive conclusions may be drawn.47

        ENDEMIC MYCOSES

        Coccidioidomycosis

        Coccidioidomycosis results from environmental exposure to either Coccidioides immitis or C. posadii. At least 50% of infections are asymptomatic, with the majority of the remaining individuals exhibiting acute, self‐limited pulmonary symptoms. A small percentage of patients develop chronic illness, either pulmonary or disseminated disease, including involvement of skin, bone/joint, and central nervous system (CNS).48, 49 Current therapy consists of either fluconazole or itraconazole for CNS disease and non‐life‐threatening disease elsewhere, with D‐AmB reserved for pregnancy and more fulminant illness.49 Unfortunately, response failures and relapses are seen commonly with all of these agents, with a resultant need for alternative antifungals.

        The echinocandins have no clear role in the treatment of coccidioidomycosis.49 More interest surrounds the use of the newer azoles, with multiple studies demonstrating excellent in vitro activity of both voriconazole and posaconazole against Coccidioides species.5052 Several recently reported open‐label studies have reported good results with the use of posaconazole for chronic coccidioidomycosis, 2 of which enrolled patients intolerant of or refractory to usual agents.5355 Based on these data, posaconazole appears to be highly active against Coccidioides, and should perhaps be the drug of choice in the majority of patients who fail to respond to or tolerate older triazoles.

        Histoplasmosis

        Histoplasmosis is particularly endemic in the Ohio and Mississippi valleys, although it occurs less commonly in many other areas as well. Inhaled Histoplasma capsulatum conidia result in subclinical infection in the majority of exposed individuals, with self‐limited pneumonia the rule in most others. A minority of patients will experience chronic pulmonary disease or dissemination.56 Not all disease requires treatment, with most pulmonary disease resolving spontaneously; but definite indications for treatment include moderate or severe pneumonia, chronic cavitary lung disease, CNS involvement, and progressive disseminated disease.56 Standard therapy consists of itraconazole or lipid formulations of amphotericin B, based on severity. Multiple studies have demonstrated excellent in vitro activity of voriconazole and particularly posaconazole against H. capsulatum.52, 5759 Recently, in 2 small series of patients, patients failing either to improve with or tolerate conventional agents demonstrated favorable outcomes when they were treated with voriconazole or posaconazole.60, 61 Both drugs appear to be appropriate second‐line agents, with posaconazole arguably preferable based on current evidence.

        CONCLUSIONS

        The spectrum of available antifungal agents has expanded considerably in recent years, and the advent of additional drugs is expected shortly. Well‐tolerated and effective drugs are now available for most fungal infections, although the precise role for newer agents in some of these diseases has yet to be defined. Future clinical trials should help resolve these uncertainties.

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        Article PDF
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        102-111
        Legacy Keywords
        antifungal drugs, Aspergillus, candidemia, febrile neutropenia, fungal infection
        Sections
        Article PDF
        Article PDF

        Therapy of serious fungal infections, for decades largely limited to the deoxycholate (regular) preparation of amphotericin B (D‐AmB), expanded significantly with the introduction of fluconazole, followed by lipid‐based formulations of amphotericin B (L‐AmB) and itraconazole. More recently the antifungal armamentarium has broadened further with the approval of voriconazole and posaconazole, as well as the echinocandins caspofungin, micafungin, and anidulafungin. Clinicians, including hospitalists, primary care, emergency medicine, and critical care physicians, may find it challenging to remain abreast of indications for these novel agents, and we review these below, with a focus on adult patients. Manuscripts used in the review were identified by a search of English‐language articles in the PubMed MEDLINE database from 1994 to the present, using the keywords triazoles, echinocandins, voriconazole, posaconazole, caspofungin, micafungin, anidulafungin, candidemia, candidiasis, aspergillosis, invasive Aspergillus, zygomycosis, febrile neutropenia, endemic mycosis, histoplasmosis, and coccidioidomycosis. In addition, reference lists for the majority of the identified manuscripts were hand‐searched for additional pertinent citations.

        Table 1 summarizes the newer systemic antifungal therapies and Table 2 summarizes the significant drug‐drug interactions with the newer antifungals.

        Newer Systemic Antifungal Therapies
        Antifungals Trade Name FDA‐Approved Indications Usual Adult Dosing Adverse Effects
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; Janurary 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: BID, two times daily; HSCT, hematopoietic stem cell transplantation; IV, intravenously; PO, by mouth; TID, three times daily.

        Azoles
        Voriconazole Vfend Invasive aspergillosis. Intravenous: 6 mg/kg IV every 12 hours, then 4 mg/kg IV every 12 hours. Transient visual disturbances (up to 30% in trials), rash, increases in hepatic enzymes, severe hepatotoxicity, and hallucinations.
        Candidemia in nonneutropenic patients and the following Candida infections: disseminated infections in skin and infections in abdomen, kidney, bladder wall, and wounds. Oral: 200 mg PO every 12 hours if 40 kg, 100 mg PO every 12 hours if <40 kg. Accumulation of sulfobutyl ester ‐cyclodextrin, a solubilizing excipient, may occur in patients with creatinine clearance <50 mL/minute receiving the intravenous formulation.
        Esophageal candidiasis.
        Fungal infections due to Scedosporium apiospermum (asexual form of Pseudallescheria boydii) and Fusarium spp. including Fusarium solani, in patients intolerant of, or refractory to, other therapy.
        Posaconazole Noxafil Prophylaxis of invasive Aspergillus and Candida infections in patients, 13 years of age and older, who are at high risk of developing these infections due to being severely immunocompromised, such as HSCT recipients with graft‐versus‐host disease or those with hematologic malignancies with prolonged neutropenia from chemotherapy. Prophylaxis of invasive fungal infections: 200 mg (5 mL) PO TID. Fever, headache, dry mouth, dizziness, fatigue, nausea, vomiting, diarrhea, rash, QT interval prolongation, and elevation of hepatic enzymes.
        Oropharyngeal candidiasis, including oropharyngeal candidiasis refractory to itraconazole and/or fluconazole. Oropharyngeal candidiasis: loading dose of 100 mg (2.5 mL) PO BID on day 1, then 100 mg (2.5 mL) PO once daily.
        Oropharyngeal candidiasis refractory to itraconazole and/or fluconazole: 400 mg (10 mL) PO BID.
        To enhance oral absorption, administer with a full meal or liquid nutritional supplement.
        Echinocandins
        Caspofungin Cancidas Empirical therapy for presumed fungal infections in febrile, neutropenic patients. All indications: 70 mg IV loading dose 1, followed by 50 mg IV daily. Phlebitis, elevation of hepatic enzymes, headache, fever, nausea, vomiting, leukopenia, and histamine mediated symptoms including rash, pruritus, facial swelling, and vasodilatation.
        Candidemia and the following Candida infections: intraabdominal abscesses, peritonitis, and pleural space infections. No loading dose required for esophageal candidiasis.
        Esophageal candidiasis.
        Invasive aspergillosis in patients who are refractory to or intolerant of other therapies (ie, amphotericin B, lipid formulations of amphotericin B, and/or itraconazole).
        Micafungin Mycamine Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses. Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses: 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 150 mg IV daily.
        Prophylaxis of Candida infections in patients undergoing HSCT. Prophylaxis of Candida infections in HSCT recipients: 50 mg IV daily.
        Anidulafungin Eraxis Candidemia and other forms of Candida infections (intraabdominal abscess, peritonitis). Candidemia/other Candida infections: 200 mg IV loading dose 1, followed by 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 100 mg IV loading dose 1, followed by 50 mg IV Q daily thereafter.
        Significant Drug‐Drug Interactions with the Newer Antifungals
        Antifungal Effect Interacting Drugs
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; January 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: HMG‐CoA, 3‐hydroxy‐3‐methyl‐glutaryl‐coenzyme A; HIV, human immunodeficiency virus.

        Voriconazole Decreased azole serum concentration Rifampin, rifabutin, carbamazepine, long‐acting barbiturates, efavirenz, high‐dose ritonavir (400 mg twice daily), phenytoin
        Increased azole serum concentration Oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, and nonnucleoside reverse transcriptase inhibitors other than efavirenz
        Increased serum concentration of coadministered drug Sirolimus, rifabutin, efavirenz, terfenadine, astemizole, cisapride, pimozide, quinine, cyclosporine, methadone, tacrolimus, oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, nonnucleoside reverse transcriptase inhibitors other than efavirenz, benzodiazepines, HMG‐CoA reductase inhibitors, dihydropyridine calcium channel blockers, vinca alkaloids, omeprazole, phenytoin, warfarin, sulfonylurea oral hypoglycemics, and ergot alkaloids
        Posaconazole Decreased azole serum concentration Cimetidine, rifabutin, phenytoin
        Increased serum concentration of coadministered drug Cyclosporine, tacrolimus, rifabutin, midazolam, pheytoin, terfenidine, astemizole, pimozide, cisapride, quinidine, ergot alkaloids, vinca alkaloids, sirolimus, HMG Co‐A reductase inhibitors, and calcium channel blockers
        Caspofungin Decreased serum concentration of caspofungin Efavirenz, nevirapine, phenytoin, dexamethasone, and carbamazepine
        Increased serum concentration of caspofungin Cyclosporine
        Decreased serum concentration of coadministered drug Tacrolimus
        Micafungin Increased serum concentration of coadministered drug Sirolimus, nifedipine, and itraconazole
        Anidulafungin No clinically relevant drug‐drug interactions

        INVASIVE CANDIDIASIS

        Candida has become a leading cause of nosocomial bloodstream infections, and is associated with an attributable mortality of 15% to 25%.1 Candidemia results in an estimated 10‐day increase in hospital length of stay, as well as an average $40,000 (US) increase in costs.2 Invasive candidiasis may be defined as catheter‐related candidemia, other hematogenously disseminated disease, or visceral involvement.3 Risk factors are present in most patients with invasive candidiasis, and include broad‐spectrum antibiotics; parenteral nutrition; central catheters; hospitalization in the intensive care unit setting; renal failure; burns; gastrointestinal and cardiac surgery; and colonization with Candida, particularly at multiple sites.1, 2

        Historically, treatment of invasive candidiasis consisted of D‐AmB, with fluconazole largely but not completely replacing amphotericin after prospective trials demonstrated comparable efficacy with markedly improved tolerability. Fluconazole has poor or uncertain activity against C. krusei and C. glabrata, however, leading to reluctance on the part of many clinicians to use it for non‐C. albicans infection (or empirically in the unstable patient). Others have raised concerns regarding the use of fluconazole even for C. albicans in the setting of an unstable or neutropenic patient, given its fungistatic rather than fungicidal activity, although this is a theoretical rather than proven shortcoming.1 Current Infectious Diseases Society of America (IDSA) guidelines for the treatment of candidemia recommend the use of caspofungin, fluconazole, D‐AmB, or the combination of D‐AmB and fluconazole.4 The IDSA recommendations are under revision, however, and we summarize newer evidence below.

        Mora‐Duarte et al.,5 in a 2002 trial, randomized patients with invasive candidiasis to caspofungin or D‐AmB, and found a favorable response in 73% and 62%, respectively, which fell just short of statistical significance. Caspofungin was better tolerated than D‐AmB, and the authors concluded that caspofungin was at least as effective as D‐AmB, with fewer adverse effects.5 A 2007 study randomized invasive candidiasis patients to micafungin or L‐AmB, and reported similar efficacy in both arms, with less drug‐related adverse events in the echinocandin‐treated group.6 Reboli et al.7 conducted a noninferiority trial comparing anidulafungin to fluconazole, and found a significantly superior outcome in the anidulafungin arm. Perhaps surprisingly, the outcome difference between the 2 groups was greater for C. albicans than for any other species.7 Although the large majority of patients in the preceding trials had candidemia, one study demonstrated a favorable response to caspofungin in 81% of patients with invasive candidal infections other than candidemia.8

        Fewer data exist regarding the use of newer azoles for the treatment of invasive candidiasis. Ostrosky‐Zeichner et al.3 utilized voriconazole as salvage therapy in 52 patients with invasive candidiasis either refractory to or intolerant of other antifungals (almost all of whom had failed therapy with D‐AmB and/or other azoles), and found a 56% favorable response rate in this challenging population. More recently, Kullberg et al.9 studied voriconazole versus D‐AmB followed by fluconazole in candidemic patients, with a similar outcome but somewhat better tolerability in the voriconazole arm. We are unaware of comparative studies involving posaconazole for invasive candidiasis.

        In summary, although fluconazole is the drug of choice for most invasive candidal infections, the initial use of an echinocandin should be considered when infection with a non‐C. albicans species is likely, particularly if the patient is unstable. Provided the organism later proves likely to be sensitive, switching to fluconazole is reasonable, particularly given the absence of an oral echinocandin formulation. The 3 currently available echinocandins appear to be interchangeable for the treatment of serious Candida infections.

        NEUTROPENIC FEVER

        Neutropenia is the most critical factor leading to infection in patients with cancer. Empiric treatment with broad‐spectrum antimicrobials should be initiated at the first sign of infection, since delay can lead to increased mortality.10 There are numerous causes for fever in the neutropenic host, although bacterial infection is most common. Fungal infections can cause unexplained fever and should be considered in neutropenic patients who remain febrile despite broad‐spectrum antibiotics.

        Fungal infections in the neutropenic host can have severe consequences. Given their high morbidity and mortality and a lack of effective diagnostic techniques for early detection, empiric antifungal therapy is mandatory in the appropriate setting. Antifungal therapy should be considered in patients who remain febrile and neutropenic for 5 days despite broad‐spectrum antibiotics. The most common fungal pathogens include Candida and Aspergillus spp.11 Other considerations include the emergence of non‐albicans Candida infections and other opportunistic pathogens such as Zygomycetes (Mucor and related pathogens), Fusarium spp, and Scedosporium spp.

        Empiric antifungal coverage in the neutropenic host has evolved over the past 2 decades, with the first trials demonstrating the utility of empiric antifungal treatment in the neutropenic host published in the 1980s. These trials demonstrated that addition of D‐AmB to broad spectrum antibiotics decreased development of fungal infections, and led to better outcomes.12, 13 While these studies established D‐AmB as standard empiric antifungal therapy in neutropenic fever, nephrotoxicity and infusion‐related reactions limited its subsequent use as less toxic alternatives were developed. The lipid formulations of amphotericin B, in particular liposomal AmB and amphotericin B lipid complex, have been shown to be as effective as D‐AmB for empiric treatment of febrile neutropenia, with less toxicities but significantly higher expense.14, 15 The older generation azoles itraconazole and fluconazole have also been studied. Itraconazole has been proven to be as effective as D‐AmB in febrile neutropenia with less toxicity; however, the oral capsule has erratic absorption and should be used cautiously.16

        Newer agents studied for use in febrile neutropenia include caspofungin and voriconazole. Caspofungin is active against azole‐resistant Candida spp and Aspergillus spp with a favorable toxicity profile, making it an attractive candidate for use in febrile neutropenia. Caspofungin was compared to L‐AmB as empiric antifungal therapy in a randomized double‐blind trial of 1,095 patients with febrile neutropenia.17 The overall success rate was essentially identical for both agents, demonstrating noninferiority of caspofungin therapy. Among patients with baseline fungal infections, significantly more patients receiving caspofungin than L‐AmB had successful outcomes (52% versus 26%, P = 0.04). Overall, caspofungin was better tolerated and associated with fewer complications than L‐AmB.17 The other available echinocandins, micafungin and anidulafungin, have not yet been studied for febrile neutropenia in randomized, controlled fashion.

        Voriconazole is a second‐generation azole with activity against fluconazole‐resistant Candida strains; however, the minimum inhibitory concentrations (MICs) are proportionally higher, suggesting a possible cross‐resistance mechanism among highly azole‐resistant strains.18 Voriconazole is active against most Aspergillus spp, Fusarium spp, and Scedosporium apiospermum.19 Voriconazole was compared to L‐AmB in an open‐label, randomized trial of 837 patients with febrile neutropenia.20 Patients were stratified according to risk of fungal infection and previous antifungal prophylaxis. Toxic side effects were similar in both groups. Less breakthrough fungal infections were seen in the voriconazole group; however, there were more discontinuations due to lack of efficacy in patients receiving voriconazole compared to L‐AmB. The overall success rate was 26% with voriconazole and 31% with L‐AmB (95% confidence interval [CI] for absolute difference in success rates: 10.6% to 1.6%), with the low figures reflective not only of infection severity, but also gravity of underlying disease, persistent fever presumably not of fungal origin, and adverse drug effects. Because the predetermined definition of noninferiority for the confidence interval difference between the groups was not met, the U.S. Food and Drug Administration (FDA) voted against approval of voriconazole for febrile neutropenia.

        Overall, the role of newer antifungals in the treatment of febrile neutropenia is evolving. Based on current evidence, we prefer caspofungin as the treatment of choice for patients with febrile neutropenia because of its low toxicity profile and good clinical spectrum against most likely pathogens. D‐AmB has long been the gold standard; however, due to toxicity concerns, lipid‐based formulations have largely replaced it, with a notable increase in cost. Voriconazole cannot be recommended at this time based on failure to meet the noninferiority endpoint when compared to L‐AmB. However, for cases in which there is a high suspicion of invasive aspergillosis infection, voriconazole should be considered.

        INVASIVE ASPERGILLOSIS

        Invasive aspergillosis infection has become an increasing threat in immunocompromised patients, including those treated for cancer, undergoing organ transplantation, or with advanced human immunodeficiency virus (HIV) infection. In particular, patients being treated for hematologic malignancies and those undergoing hematopoietic stem cell transplant (HSCT) are at highest risk, due to prolonged, severe neutropenia. Infection with invasive aspergillosis also occurs when steroids are used for treatment of graft‐versus‐host disease in the HSCT population.

        Aspergillus species are saprobic molds found ubiquitously in nature. Most diseases are caused by Aspergillus fumigatus, followed by A. flavus, A. niger, and A. terreus. Infection with Aspergillus can cause a wide spectrum of illnesses, ranging from allergic reactions to fulminant, lethal infections. The lungs are the most common site of primary invasive disease and are associated with high mortality, especially in severely immunocompromised patients.21 Infection is rapidly progressive and can be refractory to treatment, due to the organism's ability to grow quickly and invade blood vessels. Susceptible patients are unable to control infection and thus at high risk for dissemination and death. Prompt administration of an effective antifungal agent is necessary upon suspicion of invasive disease.

        The choice of antifungals for invasive Aspergillus infection has grown significantly over the past decade. Current FDA‐approved agents with activity and indications for Aspergillus infection include D‐AmB and its lipid formulations, itraconazole, voriconazole, posaconazole, and caspofungin. D‐AmB and voriconazole are the only agents licensed in the US for the primary treatment of invasive aspergillosis, with D‐AmB the sole therapeutic option until recently. The lipid formulations of amphotericin B, itraconazole, and caspofungin are approved for salvage therapy. Posaconazole is licensed for prophylaxis of invasive aspergillosis in patients who are severely immunocompromised, including those with HSCT and graft‐versus‐host disease as well as those with hematologic malignancies and prolonged neutropenia. Besides caspofungin, the other available echinocandins, micafungin and anidulafungin, are active against Aspergillus species, but not yet FDA‐approved for this indication.

        Voriconazole has replaced D‐AmB as the primary treatment of invasive pulmonary aspergillosis.21 Voriconazole was compared to D‐AmB in a randomized, multicenter, open‐label trial of 277 immunocompromised patients with definite or probable disease. The underlying condition in most patients was acute leukemia or allogeneic HSCT, and the majority of patients had invasive pulmonary disease. A successful outcome at week 12 was seen in 53% in the voriconazole group and 32% in the D‐AmB group, with survival rates of 71% and 58%, respectively; both differences were statistically significant. There were more adverse events in the D‐AmB group. Overall, the authors concluded that initial therapy with voriconazole led to better responses, improved survival and fewer side effects than D‐AmB.22

        Caspofungin and micafungin have been studied for use as salvage therapy in invasive Aspergillus infection. Caspofungin was studied in 83 patients with invasive aspergillosis refractory to or intolerant of D‐AmB, lipid formulations of amphotericin B, or triazoles, most of whom had hematologic malignancy and allogeneic HSCT. The majority of patients had invasive pulmonary aspergillosis, and a favorable response was seen in 45% of this extremely high‐risk population.23 Micafungin was evaluated in a phase II study as primary or salvage therapy for invasive aspergillosis in adults and children. Of the patients receiving micafungin alone, those receiving the drug as primary therapy had a 50% (n = 6/12) response rate, compared to 41% (9/22) in the salvage therapy group.24 Optimal dosing of micafungin for the treatment of Aspergillus has not yet been established.

        Posaconazole, the newest triazole antifungal, has been shown to be effective for the prevention of invasive aspergillosis in immunocompromised patients25, 26 and has also been studied for the treatment of invasive disease. In an open‐label trial, patients with invasive aspergillosis refractory or intolerant to conventional therapy were administered posaconazole, with historical controls as a comparator group.27 The majority of patients had underlying hematologic malignancies with approximately half undergoing HSCT, and most patients had pulmonary infection. The overall success rate was 42% for posaconazole and 26% for the control group. Posaconazole appeared to confer a survival benefit over control at 30 days and end of therapy (P = 0.0003).

        Based on current data, we recommend voriconazole for primary treatment of invasive pulmonary aspergillosis. Alternatives include L‐AmB, caspofungin, micafungin, or posaconazole; of these agents, only L‐AmB has been studied as primary (as opposed to salvage) therapy for invasive aspergillosis in a reasonably‐powered trial.28 We agree with current IDSA guidelines, which suggest L‐AmB as a possible alternative to voriconazole for primary therapy of invasive aspergillosis in some patients, particularly where drug‐drug interactions make the use of voriconazole problematic.21

        MUCOCUTANEOUS CANDIDIASIS

        Oropharyngeal candidiasis, or thrush, is a common infection in infants; those receiving antibiotics, chemotherapy or inhaled corticosteroids; and those with underlying immunodeficiency states. Esophageal candidiasis is most common in patients infected with HIV. Oral candidiasis usually does not cause symptoms, while esophageal disease is associated with odynophagia and dysphagia.

        Candida albicans is the most common cause of mucocutaneous candidiasis. Treatment of thrush usually entails topical antifungal agents such as clotrimazole troches or nystatin, or oral azoles such as fluconazole or itraconazole. Topical therapy is ineffective for esophageal candidiasis, and oral or intravenous azoles are required as first‐line therapy with fluconazole being preferred. The treatment of oral and esophageal candidiasis is often complicated by recurrence, especially in immunodeficient patients, and resistance to standard treatments occurs frequently. Identification of Candida to the species level should be performed in the setting of refractory mucocutaneous disease, as this may play a role in the choice of therapy. The 2004 IDSA Guidelines, currently under revision, contain recommendations for treatment of refractory mucocutaneous candidiasis.4 The guidelines recommend a trial of oral itraconazole for fluconazole‐refractory thrush. Intravenous caspofungin and D‐AmB are usually effective alternatives. For treatment of fluconazole‐refractory esophageal disease, the guidelines recommend itraconazole solution, voriconazole, or caspofungin, with D‐AmB recommended as second line therapy, though it is now seldom used in this setting due to significant adverse affects. Experience using newer antifungals is increasing, and these data are summarized below.

        Voriconazole has been shown at least as effective as fluconazole in the treatment of esophageal candidiasis in immunocompromised patients.29 A study involving 256 patients revealed success rates of 98% for voriconazole and 95% for fluconazole. C. albicans was the most common pathogen isolated. Perfect et al.30 demonstrated the utility of voriconazole for refractory esophageal candidiasis in 38 patients. A successful outcome was seen in 61% of patients treated with intravenous followed by oral voriconazole. The most common pathogen was C. albicans, although the series included several cases of infection with C. krusei.

        Caspofungin was compared to D‐AmB for the treatment of esophageal candidiasis in a multicenter, double‐blind, randomized trial of 128 patients.31 Caspofungin appeared to be at least as effective as D‐AmB, with a significantly higher incidence of drug‐related adverse effects seen in the D‐AmB arm. Caspofungin was also compared to fluconazole in a double‐blind, randomized trial of 177 patients with Candida esophagitis. Favorable responses were seen in 81% and 85% of caspofungin and fluconazole treated patients, respectively. A trend toward higher relapse rate 4 weeks after stopping therapy was seen with caspofungin compared to fluconazole, as was a trend toward superior eradication rates for C. glabrata in the caspofungin arm compared to the fluconazole arm, although neither reached statistical significance.32

        Micafungin was used for the treatment of esophageal candidiasis in a dose‐ranging trial of 245 HIV‐infected patients.33 Endoscopic combined cure rate for the 100 mg and 150 mg doses of micafungin (84%) was comparable to that of intravenous fluconazole 200 mg/day (87%). In the posttreatment period, 9 patients in the micafungin arm had a worsening of severity score or received nonprophylactic antifungal therapy. No patients in the fluconazole group experienced a relapse.

        Anidulafungin has been compared with fluconazole for the treatment of Candida esophagitis in a randomized, double‐blind trial of 601 patients, with an initial endoscopic success rate approaching 100% in both groups.34 The 2‐week follow‐up examination revealed that 64% and 90% of patients treated with anidulafungin and fluconazole, respectively, sustained endoscopic success (P < 0.001).

        Posaconazole was compared with fluconazole for treatment of thrush in 350 patients with HIV/acquired immunodeficiency syndrome (AIDS) in a randomized, blinded study.35 Both posaconazole and fluconazole were administered at a dose of 200 mg on day 1, followed by 100 mg/day. Clinical success occurred in 92% of patients receiving posaconazole and 93% receiving fluconazole. Mycological success was equivalent on day 14 in both arms; however, by day 42, significantly more posaconazole recipients continued to demonstrate mycological success. Posaconazole was recently evaluated for the treatment of azole‐refractory thrush and esophageal candidiasis in patients with advanced HIV infection, demonstrating a success rate of 75% in this population failing fluconazole or itraconazole therapy.36

        Multiple new agents are available for the treatment of mucocutaneous candidiasis. Aside from topical antifungals for the initial treatment of thrush, fluconazole remains first line systemic therapy for both oral and esophageal candidiasis due to safety, tolerability, and cost. For fluconazole‐refractory disease, newer choices include voriconazole, the echinocandins, and posaconazole. Voriconazole and posaconazole are attractive options given their oral availability. The relapse rates seen in trials with the echinocandins are concerning; however, these are useful options when azole resistance is suspected.

        ZYGOMYCOSIS

        Zygomycosis (often referred to less correctly as mucormycosis) is a devastating opportunistic fungal infection that appears to be increasing in frequency. Historically, zygomycosis has commonly occurred in poorly controlled diabetic patients, particularly in the setting of diabetic ketoacidosis, and classically results in rhinocerebral disease with a relatively poor outcome. In recent years, a striking increase has been seen in patients with more profound immunosuppression, particularly those with hematologic malignancies or undergoing HSCT. Sinopulmonary rather than rhinocerebral disease is the most common manifestation in this population.3739 Other well‐described risk factors include iron chelation therapy with deferoxamine, intravenous drug use, solid organ transplantation, metabolic acidosis, trauma, and burns. Disease is also occasionally seen in the seemingly immunocompetent, with 176 of 929 (19%) patients in a comprehensive review lacking an obvious risk factor.37, 40

        Invasive mold infections caused by the Zygomycetes are associated with a poor outcome, with Roden et al.37 reporting mortality in excess of 50% in their series. Mortality in patients with hematological malignancies has been reported to be particularly high.37, 38 The cornerstones of successful therapy include early detection of infection, correction or improvement of immunosuppression when possible, prompt surgical debridement of infected tissue, and appropriate antifungal therapy.40 D‐AmB has constituted standard zygomycosis therapy for decades, although it has recently been largely replaced by L‐AmB. Overall survival rates have been reported to be 61% and 69% with the use of D‐AmB and lipid preparations, respectively.37

        Given the relatively poor outcomes and substantial infusion‐related toxicity and nephrotoxicity associated with even liposomal preparations of AmB, considerable interest exists in the identification of alternative therapeutic agents. Unfortunately, echinocandins and most triazoles appear to have modest to no activity against Zygomycetes, with a recent case‐control study indicating that widespread use of voriconazole in high‐risk populations may be helping to drive the emergence of breakthrough zygomycosis.39 Posaconazole appears to be an exception, however; with in vitro and murine studies suggesting it compares favorably to D‐AmB in this setting.4143 Numerous case reports describe favorable outcomes with the use of posaconazole as salvage therapy for zygomycosis, and 2 recent retrospective studies support its role in this setting.44, 45 Currently, use of posaconazole for the treatment of zygomycosis is limited by the absence of an intravenous preparation, although this is reportedly under development.46 At present, the role of posaconazole in this setting appears limited to step‐down therapy in those patients who have responded appropriately to L‐AmB, and for salvage therapy. Although an intravenous preparation of posaconazole appears attractive as a first‐line agent for zygomycosis, currently studied patients (ie, those unresponsive to or intolerant of D‐AmB) may not be fully representative of a broader population, and clinical trials will be necessary before more definitive conclusions may be drawn.47

        ENDEMIC MYCOSES

        Coccidioidomycosis

        Coccidioidomycosis results from environmental exposure to either Coccidioides immitis or C. posadii. At least 50% of infections are asymptomatic, with the majority of the remaining individuals exhibiting acute, self‐limited pulmonary symptoms. A small percentage of patients develop chronic illness, either pulmonary or disseminated disease, including involvement of skin, bone/joint, and central nervous system (CNS).48, 49 Current therapy consists of either fluconazole or itraconazole for CNS disease and non‐life‐threatening disease elsewhere, with D‐AmB reserved for pregnancy and more fulminant illness.49 Unfortunately, response failures and relapses are seen commonly with all of these agents, with a resultant need for alternative antifungals.

        The echinocandins have no clear role in the treatment of coccidioidomycosis.49 More interest surrounds the use of the newer azoles, with multiple studies demonstrating excellent in vitro activity of both voriconazole and posaconazole against Coccidioides species.5052 Several recently reported open‐label studies have reported good results with the use of posaconazole for chronic coccidioidomycosis, 2 of which enrolled patients intolerant of or refractory to usual agents.5355 Based on these data, posaconazole appears to be highly active against Coccidioides, and should perhaps be the drug of choice in the majority of patients who fail to respond to or tolerate older triazoles.

        Histoplasmosis

        Histoplasmosis is particularly endemic in the Ohio and Mississippi valleys, although it occurs less commonly in many other areas as well. Inhaled Histoplasma capsulatum conidia result in subclinical infection in the majority of exposed individuals, with self‐limited pneumonia the rule in most others. A minority of patients will experience chronic pulmonary disease or dissemination.56 Not all disease requires treatment, with most pulmonary disease resolving spontaneously; but definite indications for treatment include moderate or severe pneumonia, chronic cavitary lung disease, CNS involvement, and progressive disseminated disease.56 Standard therapy consists of itraconazole or lipid formulations of amphotericin B, based on severity. Multiple studies have demonstrated excellent in vitro activity of voriconazole and particularly posaconazole against H. capsulatum.52, 5759 Recently, in 2 small series of patients, patients failing either to improve with or tolerate conventional agents demonstrated favorable outcomes when they were treated with voriconazole or posaconazole.60, 61 Both drugs appear to be appropriate second‐line agents, with posaconazole arguably preferable based on current evidence.

        CONCLUSIONS

        The spectrum of available antifungal agents has expanded considerably in recent years, and the advent of additional drugs is expected shortly. Well‐tolerated and effective drugs are now available for most fungal infections, although the precise role for newer agents in some of these diseases has yet to be defined. Future clinical trials should help resolve these uncertainties.

        Therapy of serious fungal infections, for decades largely limited to the deoxycholate (regular) preparation of amphotericin B (D‐AmB), expanded significantly with the introduction of fluconazole, followed by lipid‐based formulations of amphotericin B (L‐AmB) and itraconazole. More recently the antifungal armamentarium has broadened further with the approval of voriconazole and posaconazole, as well as the echinocandins caspofungin, micafungin, and anidulafungin. Clinicians, including hospitalists, primary care, emergency medicine, and critical care physicians, may find it challenging to remain abreast of indications for these novel agents, and we review these below, with a focus on adult patients. Manuscripts used in the review were identified by a search of English‐language articles in the PubMed MEDLINE database from 1994 to the present, using the keywords triazoles, echinocandins, voriconazole, posaconazole, caspofungin, micafungin, anidulafungin, candidemia, candidiasis, aspergillosis, invasive Aspergillus, zygomycosis, febrile neutropenia, endemic mycosis, histoplasmosis, and coccidioidomycosis. In addition, reference lists for the majority of the identified manuscripts were hand‐searched for additional pertinent citations.

        Table 1 summarizes the newer systemic antifungal therapies and Table 2 summarizes the significant drug‐drug interactions with the newer antifungals.

        Newer Systemic Antifungal Therapies
        Antifungals Trade Name FDA‐Approved Indications Usual Adult Dosing Adverse Effects
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; Janurary 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: BID, two times daily; HSCT, hematopoietic stem cell transplantation; IV, intravenously; PO, by mouth; TID, three times daily.

        Azoles
        Voriconazole Vfend Invasive aspergillosis. Intravenous: 6 mg/kg IV every 12 hours, then 4 mg/kg IV every 12 hours. Transient visual disturbances (up to 30% in trials), rash, increases in hepatic enzymes, severe hepatotoxicity, and hallucinations.
        Candidemia in nonneutropenic patients and the following Candida infections: disseminated infections in skin and infections in abdomen, kidney, bladder wall, and wounds. Oral: 200 mg PO every 12 hours if 40 kg, 100 mg PO every 12 hours if <40 kg. Accumulation of sulfobutyl ester ‐cyclodextrin, a solubilizing excipient, may occur in patients with creatinine clearance <50 mL/minute receiving the intravenous formulation.
        Esophageal candidiasis.
        Fungal infections due to Scedosporium apiospermum (asexual form of Pseudallescheria boydii) and Fusarium spp. including Fusarium solani, in patients intolerant of, or refractory to, other therapy.
        Posaconazole Noxafil Prophylaxis of invasive Aspergillus and Candida infections in patients, 13 years of age and older, who are at high risk of developing these infections due to being severely immunocompromised, such as HSCT recipients with graft‐versus‐host disease or those with hematologic malignancies with prolonged neutropenia from chemotherapy. Prophylaxis of invasive fungal infections: 200 mg (5 mL) PO TID. Fever, headache, dry mouth, dizziness, fatigue, nausea, vomiting, diarrhea, rash, QT interval prolongation, and elevation of hepatic enzymes.
        Oropharyngeal candidiasis, including oropharyngeal candidiasis refractory to itraconazole and/or fluconazole. Oropharyngeal candidiasis: loading dose of 100 mg (2.5 mL) PO BID on day 1, then 100 mg (2.5 mL) PO once daily.
        Oropharyngeal candidiasis refractory to itraconazole and/or fluconazole: 400 mg (10 mL) PO BID.
        To enhance oral absorption, administer with a full meal or liquid nutritional supplement.
        Echinocandins
        Caspofungin Cancidas Empirical therapy for presumed fungal infections in febrile, neutropenic patients. All indications: 70 mg IV loading dose 1, followed by 50 mg IV daily. Phlebitis, elevation of hepatic enzymes, headache, fever, nausea, vomiting, leukopenia, and histamine mediated symptoms including rash, pruritus, facial swelling, and vasodilatation.
        Candidemia and the following Candida infections: intraabdominal abscesses, peritonitis, and pleural space infections. No loading dose required for esophageal candidiasis.
        Esophageal candidiasis.
        Invasive aspergillosis in patients who are refractory to or intolerant of other therapies (ie, amphotericin B, lipid formulations of amphotericin B, and/or itraconazole).
        Micafungin Mycamine Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses. Candidemia, acute disseminated candidiasis, Candida peritonitis and abscesses: 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 150 mg IV daily.
        Prophylaxis of Candida infections in patients undergoing HSCT. Prophylaxis of Candida infections in HSCT recipients: 50 mg IV daily.
        Anidulafungin Eraxis Candidemia and other forms of Candida infections (intraabdominal abscess, peritonitis). Candidemia/other Candida infections: 200 mg IV loading dose 1, followed by 100 mg IV daily. Similar to caspofungin.
        Esophageal candidiasis. Esophageal candidiasis: 100 mg IV loading dose 1, followed by 50 mg IV Q daily thereafter.
        Significant Drug‐Drug Interactions with the Newer Antifungals
        Antifungal Effect Interacting Drugs
        • NOTE: Vfend (voriconazole) package labeling: Pfizer, New York, NY; December 2007. Noxafil (posaconazole) package labeling: Schering Corporation, Kenilworth, NJ; October 2006. Cancidas (caspofungin) package labeling: Merck & Co., Inc., Whitehouse Station, NJ; February 2005. Mycamine (micafungin) package labeling: Astellas Pharma US, Inc., Deerfield, IL; January 2008. Eraxis (anidulafungin) package labeling: Pfizer, New York, NY; May 2007.

        • Abbreviations: HMG‐CoA, 3‐hydroxy‐3‐methyl‐glutaryl‐coenzyme A; HIV, human immunodeficiency virus.

        Voriconazole Decreased azole serum concentration Rifampin, rifabutin, carbamazepine, long‐acting barbiturates, efavirenz, high‐dose ritonavir (400 mg twice daily), phenytoin
        Increased azole serum concentration Oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, and nonnucleoside reverse transcriptase inhibitors other than efavirenz
        Increased serum concentration of coadministered drug Sirolimus, rifabutin, efavirenz, terfenadine, astemizole, cisapride, pimozide, quinine, cyclosporine, methadone, tacrolimus, oral contraceptives containing ethinyl estradiol and norethindrone, HIV protease inhibitors other than ritonavir, nonnucleoside reverse transcriptase inhibitors other than efavirenz, benzodiazepines, HMG‐CoA reductase inhibitors, dihydropyridine calcium channel blockers, vinca alkaloids, omeprazole, phenytoin, warfarin, sulfonylurea oral hypoglycemics, and ergot alkaloids
        Posaconazole Decreased azole serum concentration Cimetidine, rifabutin, phenytoin
        Increased serum concentration of coadministered drug Cyclosporine, tacrolimus, rifabutin, midazolam, pheytoin, terfenidine, astemizole, pimozide, cisapride, quinidine, ergot alkaloids, vinca alkaloids, sirolimus, HMG Co‐A reductase inhibitors, and calcium channel blockers
        Caspofungin Decreased serum concentration of caspofungin Efavirenz, nevirapine, phenytoin, dexamethasone, and carbamazepine
        Increased serum concentration of caspofungin Cyclosporine
        Decreased serum concentration of coadministered drug Tacrolimus
        Micafungin Increased serum concentration of coadministered drug Sirolimus, nifedipine, and itraconazole
        Anidulafungin No clinically relevant drug‐drug interactions

        INVASIVE CANDIDIASIS

        Candida has become a leading cause of nosocomial bloodstream infections, and is associated with an attributable mortality of 15% to 25%.1 Candidemia results in an estimated 10‐day increase in hospital length of stay, as well as an average $40,000 (US) increase in costs.2 Invasive candidiasis may be defined as catheter‐related candidemia, other hematogenously disseminated disease, or visceral involvement.3 Risk factors are present in most patients with invasive candidiasis, and include broad‐spectrum antibiotics; parenteral nutrition; central catheters; hospitalization in the intensive care unit setting; renal failure; burns; gastrointestinal and cardiac surgery; and colonization with Candida, particularly at multiple sites.1, 2

        Historically, treatment of invasive candidiasis consisted of D‐AmB, with fluconazole largely but not completely replacing amphotericin after prospective trials demonstrated comparable efficacy with markedly improved tolerability. Fluconazole has poor or uncertain activity against C. krusei and C. glabrata, however, leading to reluctance on the part of many clinicians to use it for non‐C. albicans infection (or empirically in the unstable patient). Others have raised concerns regarding the use of fluconazole even for C. albicans in the setting of an unstable or neutropenic patient, given its fungistatic rather than fungicidal activity, although this is a theoretical rather than proven shortcoming.1 Current Infectious Diseases Society of America (IDSA) guidelines for the treatment of candidemia recommend the use of caspofungin, fluconazole, D‐AmB, or the combination of D‐AmB and fluconazole.4 The IDSA recommendations are under revision, however, and we summarize newer evidence below.

        Mora‐Duarte et al.,5 in a 2002 trial, randomized patients with invasive candidiasis to caspofungin or D‐AmB, and found a favorable response in 73% and 62%, respectively, which fell just short of statistical significance. Caspofungin was better tolerated than D‐AmB, and the authors concluded that caspofungin was at least as effective as D‐AmB, with fewer adverse effects.5 A 2007 study randomized invasive candidiasis patients to micafungin or L‐AmB, and reported similar efficacy in both arms, with less drug‐related adverse events in the echinocandin‐treated group.6 Reboli et al.7 conducted a noninferiority trial comparing anidulafungin to fluconazole, and found a significantly superior outcome in the anidulafungin arm. Perhaps surprisingly, the outcome difference between the 2 groups was greater for C. albicans than for any other species.7 Although the large majority of patients in the preceding trials had candidemia, one study demonstrated a favorable response to caspofungin in 81% of patients with invasive candidal infections other than candidemia.8

        Fewer data exist regarding the use of newer azoles for the treatment of invasive candidiasis. Ostrosky‐Zeichner et al.3 utilized voriconazole as salvage therapy in 52 patients with invasive candidiasis either refractory to or intolerant of other antifungals (almost all of whom had failed therapy with D‐AmB and/or other azoles), and found a 56% favorable response rate in this challenging population. More recently, Kullberg et al.9 studied voriconazole versus D‐AmB followed by fluconazole in candidemic patients, with a similar outcome but somewhat better tolerability in the voriconazole arm. We are unaware of comparative studies involving posaconazole for invasive candidiasis.

        In summary, although fluconazole is the drug of choice for most invasive candidal infections, the initial use of an echinocandin should be considered when infection with a non‐C. albicans species is likely, particularly if the patient is unstable. Provided the organism later proves likely to be sensitive, switching to fluconazole is reasonable, particularly given the absence of an oral echinocandin formulation. The 3 currently available echinocandins appear to be interchangeable for the treatment of serious Candida infections.

        NEUTROPENIC FEVER

        Neutropenia is the most critical factor leading to infection in patients with cancer. Empiric treatment with broad‐spectrum antimicrobials should be initiated at the first sign of infection, since delay can lead to increased mortality.10 There are numerous causes for fever in the neutropenic host, although bacterial infection is most common. Fungal infections can cause unexplained fever and should be considered in neutropenic patients who remain febrile despite broad‐spectrum antibiotics.

        Fungal infections in the neutropenic host can have severe consequences. Given their high morbidity and mortality and a lack of effective diagnostic techniques for early detection, empiric antifungal therapy is mandatory in the appropriate setting. Antifungal therapy should be considered in patients who remain febrile and neutropenic for 5 days despite broad‐spectrum antibiotics. The most common fungal pathogens include Candida and Aspergillus spp.11 Other considerations include the emergence of non‐albicans Candida infections and other opportunistic pathogens such as Zygomycetes (Mucor and related pathogens), Fusarium spp, and Scedosporium spp.

        Empiric antifungal coverage in the neutropenic host has evolved over the past 2 decades, with the first trials demonstrating the utility of empiric antifungal treatment in the neutropenic host published in the 1980s. These trials demonstrated that addition of D‐AmB to broad spectrum antibiotics decreased development of fungal infections, and led to better outcomes.12, 13 While these studies established D‐AmB as standard empiric antifungal therapy in neutropenic fever, nephrotoxicity and infusion‐related reactions limited its subsequent use as less toxic alternatives were developed. The lipid formulations of amphotericin B, in particular liposomal AmB and amphotericin B lipid complex, have been shown to be as effective as D‐AmB for empiric treatment of febrile neutropenia, with less toxicities but significantly higher expense.14, 15 The older generation azoles itraconazole and fluconazole have also been studied. Itraconazole has been proven to be as effective as D‐AmB in febrile neutropenia with less toxicity; however, the oral capsule has erratic absorption and should be used cautiously.16

        Newer agents studied for use in febrile neutropenia include caspofungin and voriconazole. Caspofungin is active against azole‐resistant Candida spp and Aspergillus spp with a favorable toxicity profile, making it an attractive candidate for use in febrile neutropenia. Caspofungin was compared to L‐AmB as empiric antifungal therapy in a randomized double‐blind trial of 1,095 patients with febrile neutropenia.17 The overall success rate was essentially identical for both agents, demonstrating noninferiority of caspofungin therapy. Among patients with baseline fungal infections, significantly more patients receiving caspofungin than L‐AmB had successful outcomes (52% versus 26%, P = 0.04). Overall, caspofungin was better tolerated and associated with fewer complications than L‐AmB.17 The other available echinocandins, micafungin and anidulafungin, have not yet been studied for febrile neutropenia in randomized, controlled fashion.

        Voriconazole is a second‐generation azole with activity against fluconazole‐resistant Candida strains; however, the minimum inhibitory concentrations (MICs) are proportionally higher, suggesting a possible cross‐resistance mechanism among highly azole‐resistant strains.18 Voriconazole is active against most Aspergillus spp, Fusarium spp, and Scedosporium apiospermum.19 Voriconazole was compared to L‐AmB in an open‐label, randomized trial of 837 patients with febrile neutropenia.20 Patients were stratified according to risk of fungal infection and previous antifungal prophylaxis. Toxic side effects were similar in both groups. Less breakthrough fungal infections were seen in the voriconazole group; however, there were more discontinuations due to lack of efficacy in patients receiving voriconazole compared to L‐AmB. The overall success rate was 26% with voriconazole and 31% with L‐AmB (95% confidence interval [CI] for absolute difference in success rates: 10.6% to 1.6%), with the low figures reflective not only of infection severity, but also gravity of underlying disease, persistent fever presumably not of fungal origin, and adverse drug effects. Because the predetermined definition of noninferiority for the confidence interval difference between the groups was not met, the U.S. Food and Drug Administration (FDA) voted against approval of voriconazole for febrile neutropenia.

        Overall, the role of newer antifungals in the treatment of febrile neutropenia is evolving. Based on current evidence, we prefer caspofungin as the treatment of choice for patients with febrile neutropenia because of its low toxicity profile and good clinical spectrum against most likely pathogens. D‐AmB has long been the gold standard; however, due to toxicity concerns, lipid‐based formulations have largely replaced it, with a notable increase in cost. Voriconazole cannot be recommended at this time based on failure to meet the noninferiority endpoint when compared to L‐AmB. However, for cases in which there is a high suspicion of invasive aspergillosis infection, voriconazole should be considered.

        INVASIVE ASPERGILLOSIS

        Invasive aspergillosis infection has become an increasing threat in immunocompromised patients, including those treated for cancer, undergoing organ transplantation, or with advanced human immunodeficiency virus (HIV) infection. In particular, patients being treated for hematologic malignancies and those undergoing hematopoietic stem cell transplant (HSCT) are at highest risk, due to prolonged, severe neutropenia. Infection with invasive aspergillosis also occurs when steroids are used for treatment of graft‐versus‐host disease in the HSCT population.

        Aspergillus species are saprobic molds found ubiquitously in nature. Most diseases are caused by Aspergillus fumigatus, followed by A. flavus, A. niger, and A. terreus. Infection with Aspergillus can cause a wide spectrum of illnesses, ranging from allergic reactions to fulminant, lethal infections. The lungs are the most common site of primary invasive disease and are associated with high mortality, especially in severely immunocompromised patients.21 Infection is rapidly progressive and can be refractory to treatment, due to the organism's ability to grow quickly and invade blood vessels. Susceptible patients are unable to control infection and thus at high risk for dissemination and death. Prompt administration of an effective antifungal agent is necessary upon suspicion of invasive disease.

        The choice of antifungals for invasive Aspergillus infection has grown significantly over the past decade. Current FDA‐approved agents with activity and indications for Aspergillus infection include D‐AmB and its lipid formulations, itraconazole, voriconazole, posaconazole, and caspofungin. D‐AmB and voriconazole are the only agents licensed in the US for the primary treatment of invasive aspergillosis, with D‐AmB the sole therapeutic option until recently. The lipid formulations of amphotericin B, itraconazole, and caspofungin are approved for salvage therapy. Posaconazole is licensed for prophylaxis of invasive aspergillosis in patients who are severely immunocompromised, including those with HSCT and graft‐versus‐host disease as well as those with hematologic malignancies and prolonged neutropenia. Besides caspofungin, the other available echinocandins, micafungin and anidulafungin, are active against Aspergillus species, but not yet FDA‐approved for this indication.

        Voriconazole has replaced D‐AmB as the primary treatment of invasive pulmonary aspergillosis.21 Voriconazole was compared to D‐AmB in a randomized, multicenter, open‐label trial of 277 immunocompromised patients with definite or probable disease. The underlying condition in most patients was acute leukemia or allogeneic HSCT, and the majority of patients had invasive pulmonary disease. A successful outcome at week 12 was seen in 53% in the voriconazole group and 32% in the D‐AmB group, with survival rates of 71% and 58%, respectively; both differences were statistically significant. There were more adverse events in the D‐AmB group. Overall, the authors concluded that initial therapy with voriconazole led to better responses, improved survival and fewer side effects than D‐AmB.22

        Caspofungin and micafungin have been studied for use as salvage therapy in invasive Aspergillus infection. Caspofungin was studied in 83 patients with invasive aspergillosis refractory to or intolerant of D‐AmB, lipid formulations of amphotericin B, or triazoles, most of whom had hematologic malignancy and allogeneic HSCT. The majority of patients had invasive pulmonary aspergillosis, and a favorable response was seen in 45% of this extremely high‐risk population.23 Micafungin was evaluated in a phase II study as primary or salvage therapy for invasive aspergillosis in adults and children. Of the patients receiving micafungin alone, those receiving the drug as primary therapy had a 50% (n = 6/12) response rate, compared to 41% (9/22) in the salvage therapy group.24 Optimal dosing of micafungin for the treatment of Aspergillus has not yet been established.

        Posaconazole, the newest triazole antifungal, has been shown to be effective for the prevention of invasive aspergillosis in immunocompromised patients25, 26 and has also been studied for the treatment of invasive disease. In an open‐label trial, patients with invasive aspergillosis refractory or intolerant to conventional therapy were administered posaconazole, with historical controls as a comparator group.27 The majority of patients had underlying hematologic malignancies with approximately half undergoing HSCT, and most patients had pulmonary infection. The overall success rate was 42% for posaconazole and 26% for the control group. Posaconazole appeared to confer a survival benefit over control at 30 days and end of therapy (P = 0.0003).

        Based on current data, we recommend voriconazole for primary treatment of invasive pulmonary aspergillosis. Alternatives include L‐AmB, caspofungin, micafungin, or posaconazole; of these agents, only L‐AmB has been studied as primary (as opposed to salvage) therapy for invasive aspergillosis in a reasonably‐powered trial.28 We agree with current IDSA guidelines, which suggest L‐AmB as a possible alternative to voriconazole for primary therapy of invasive aspergillosis in some patients, particularly where drug‐drug interactions make the use of voriconazole problematic.21

        MUCOCUTANEOUS CANDIDIASIS

        Oropharyngeal candidiasis, or thrush, is a common infection in infants; those receiving antibiotics, chemotherapy or inhaled corticosteroids; and those with underlying immunodeficiency states. Esophageal candidiasis is most common in patients infected with HIV. Oral candidiasis usually does not cause symptoms, while esophageal disease is associated with odynophagia and dysphagia.

        Candida albicans is the most common cause of mucocutaneous candidiasis. Treatment of thrush usually entails topical antifungal agents such as clotrimazole troches or nystatin, or oral azoles such as fluconazole or itraconazole. Topical therapy is ineffective for esophageal candidiasis, and oral or intravenous azoles are required as first‐line therapy with fluconazole being preferred. The treatment of oral and esophageal candidiasis is often complicated by recurrence, especially in immunodeficient patients, and resistance to standard treatments occurs frequently. Identification of Candida to the species level should be performed in the setting of refractory mucocutaneous disease, as this may play a role in the choice of therapy. The 2004 IDSA Guidelines, currently under revision, contain recommendations for treatment of refractory mucocutaneous candidiasis.4 The guidelines recommend a trial of oral itraconazole for fluconazole‐refractory thrush. Intravenous caspofungin and D‐AmB are usually effective alternatives. For treatment of fluconazole‐refractory esophageal disease, the guidelines recommend itraconazole solution, voriconazole, or caspofungin, with D‐AmB recommended as second line therapy, though it is now seldom used in this setting due to significant adverse affects. Experience using newer antifungals is increasing, and these data are summarized below.

        Voriconazole has been shown at least as effective as fluconazole in the treatment of esophageal candidiasis in immunocompromised patients.29 A study involving 256 patients revealed success rates of 98% for voriconazole and 95% for fluconazole. C. albicans was the most common pathogen isolated. Perfect et al.30 demonstrated the utility of voriconazole for refractory esophageal candidiasis in 38 patients. A successful outcome was seen in 61% of patients treated with intravenous followed by oral voriconazole. The most common pathogen was C. albicans, although the series included several cases of infection with C. krusei.

        Caspofungin was compared to D‐AmB for the treatment of esophageal candidiasis in a multicenter, double‐blind, randomized trial of 128 patients.31 Caspofungin appeared to be at least as effective as D‐AmB, with a significantly higher incidence of drug‐related adverse effects seen in the D‐AmB arm. Caspofungin was also compared to fluconazole in a double‐blind, randomized trial of 177 patients with Candida esophagitis. Favorable responses were seen in 81% and 85% of caspofungin and fluconazole treated patients, respectively. A trend toward higher relapse rate 4 weeks after stopping therapy was seen with caspofungin compared to fluconazole, as was a trend toward superior eradication rates for C. glabrata in the caspofungin arm compared to the fluconazole arm, although neither reached statistical significance.32

        Micafungin was used for the treatment of esophageal candidiasis in a dose‐ranging trial of 245 HIV‐infected patients.33 Endoscopic combined cure rate for the 100 mg and 150 mg doses of micafungin (84%) was comparable to that of intravenous fluconazole 200 mg/day (87%). In the posttreatment period, 9 patients in the micafungin arm had a worsening of severity score or received nonprophylactic antifungal therapy. No patients in the fluconazole group experienced a relapse.

        Anidulafungin has been compared with fluconazole for the treatment of Candida esophagitis in a randomized, double‐blind trial of 601 patients, with an initial endoscopic success rate approaching 100% in both groups.34 The 2‐week follow‐up examination revealed that 64% and 90% of patients treated with anidulafungin and fluconazole, respectively, sustained endoscopic success (P < 0.001).

        Posaconazole was compared with fluconazole for treatment of thrush in 350 patients with HIV/acquired immunodeficiency syndrome (AIDS) in a randomized, blinded study.35 Both posaconazole and fluconazole were administered at a dose of 200 mg on day 1, followed by 100 mg/day. Clinical success occurred in 92% of patients receiving posaconazole and 93% receiving fluconazole. Mycological success was equivalent on day 14 in both arms; however, by day 42, significantly more posaconazole recipients continued to demonstrate mycological success. Posaconazole was recently evaluated for the treatment of azole‐refractory thrush and esophageal candidiasis in patients with advanced HIV infection, demonstrating a success rate of 75% in this population failing fluconazole or itraconazole therapy.36

        Multiple new agents are available for the treatment of mucocutaneous candidiasis. Aside from topical antifungals for the initial treatment of thrush, fluconazole remains first line systemic therapy for both oral and esophageal candidiasis due to safety, tolerability, and cost. For fluconazole‐refractory disease, newer choices include voriconazole, the echinocandins, and posaconazole. Voriconazole and posaconazole are attractive options given their oral availability. The relapse rates seen in trials with the echinocandins are concerning; however, these are useful options when azole resistance is suspected.

        ZYGOMYCOSIS

        Zygomycosis (often referred to less correctly as mucormycosis) is a devastating opportunistic fungal infection that appears to be increasing in frequency. Historically, zygomycosis has commonly occurred in poorly controlled diabetic patients, particularly in the setting of diabetic ketoacidosis, and classically results in rhinocerebral disease with a relatively poor outcome. In recent years, a striking increase has been seen in patients with more profound immunosuppression, particularly those with hematologic malignancies or undergoing HSCT. Sinopulmonary rather than rhinocerebral disease is the most common manifestation in this population.3739 Other well‐described risk factors include iron chelation therapy with deferoxamine, intravenous drug use, solid organ transplantation, metabolic acidosis, trauma, and burns. Disease is also occasionally seen in the seemingly immunocompetent, with 176 of 929 (19%) patients in a comprehensive review lacking an obvious risk factor.37, 40

        Invasive mold infections caused by the Zygomycetes are associated with a poor outcome, with Roden et al.37 reporting mortality in excess of 50% in their series. Mortality in patients with hematological malignancies has been reported to be particularly high.37, 38 The cornerstones of successful therapy include early detection of infection, correction or improvement of immunosuppression when possible, prompt surgical debridement of infected tissue, and appropriate antifungal therapy.40 D‐AmB has constituted standard zygomycosis therapy for decades, although it has recently been largely replaced by L‐AmB. Overall survival rates have been reported to be 61% and 69% with the use of D‐AmB and lipid preparations, respectively.37

        Given the relatively poor outcomes and substantial infusion‐related toxicity and nephrotoxicity associated with even liposomal preparations of AmB, considerable interest exists in the identification of alternative therapeutic agents. Unfortunately, echinocandins and most triazoles appear to have modest to no activity against Zygomycetes, with a recent case‐control study indicating that widespread use of voriconazole in high‐risk populations may be helping to drive the emergence of breakthrough zygomycosis.39 Posaconazole appears to be an exception, however; with in vitro and murine studies suggesting it compares favorably to D‐AmB in this setting.4143 Numerous case reports describe favorable outcomes with the use of posaconazole as salvage therapy for zygomycosis, and 2 recent retrospective studies support its role in this setting.44, 45 Currently, use of posaconazole for the treatment of zygomycosis is limited by the absence of an intravenous preparation, although this is reportedly under development.46 At present, the role of posaconazole in this setting appears limited to step‐down therapy in those patients who have responded appropriately to L‐AmB, and for salvage therapy. Although an intravenous preparation of posaconazole appears attractive as a first‐line agent for zygomycosis, currently studied patients (ie, those unresponsive to or intolerant of D‐AmB) may not be fully representative of a broader population, and clinical trials will be necessary before more definitive conclusions may be drawn.47

        ENDEMIC MYCOSES

        Coccidioidomycosis

        Coccidioidomycosis results from environmental exposure to either Coccidioides immitis or C. posadii. At least 50% of infections are asymptomatic, with the majority of the remaining individuals exhibiting acute, self‐limited pulmonary symptoms. A small percentage of patients develop chronic illness, either pulmonary or disseminated disease, including involvement of skin, bone/joint, and central nervous system (CNS).48, 49 Current therapy consists of either fluconazole or itraconazole for CNS disease and non‐life‐threatening disease elsewhere, with D‐AmB reserved for pregnancy and more fulminant illness.49 Unfortunately, response failures and relapses are seen commonly with all of these agents, with a resultant need for alternative antifungals.

        The echinocandins have no clear role in the treatment of coccidioidomycosis.49 More interest surrounds the use of the newer azoles, with multiple studies demonstrating excellent in vitro activity of both voriconazole and posaconazole against Coccidioides species.5052 Several recently reported open‐label studies have reported good results with the use of posaconazole for chronic coccidioidomycosis, 2 of which enrolled patients intolerant of or refractory to usual agents.5355 Based on these data, posaconazole appears to be highly active against Coccidioides, and should perhaps be the drug of choice in the majority of patients who fail to respond to or tolerate older triazoles.

        Histoplasmosis

        Histoplasmosis is particularly endemic in the Ohio and Mississippi valleys, although it occurs less commonly in many other areas as well. Inhaled Histoplasma capsulatum conidia result in subclinical infection in the majority of exposed individuals, with self‐limited pneumonia the rule in most others. A minority of patients will experience chronic pulmonary disease or dissemination.56 Not all disease requires treatment, with most pulmonary disease resolving spontaneously; but definite indications for treatment include moderate or severe pneumonia, chronic cavitary lung disease, CNS involvement, and progressive disseminated disease.56 Standard therapy consists of itraconazole or lipid formulations of amphotericin B, based on severity. Multiple studies have demonstrated excellent in vitro activity of voriconazole and particularly posaconazole against H. capsulatum.52, 5759 Recently, in 2 small series of patients, patients failing either to improve with or tolerate conventional agents demonstrated favorable outcomes when they were treated with voriconazole or posaconazole.60, 61 Both drugs appear to be appropriate second‐line agents, with posaconazole arguably preferable based on current evidence.

        CONCLUSIONS

        The spectrum of available antifungal agents has expanded considerably in recent years, and the advent of additional drugs is expected shortly. Well‐tolerated and effective drugs are now available for most fungal infections, although the precise role for newer agents in some of these diseases has yet to be defined. Future clinical trials should help resolve these uncertainties.

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        40. Kontoyiannis DP,Lewis RE.Invasive zygomycosis: update on pathogenesis, clinical manifestations, and management.Infect Dis Clin North Am.2006;20:581607.
        41. Sun QN,Fothergill AW,McCarthy DI,Rinaldi MG,Graybill JR.In vitro activities of posaconazole itraconazole, voriconazole, amphotericin B, and fluconazole against 37 clinical isolates of zygomycetes.Antimicrob Agents Chemother.2002;46:15811582.
        42. Sun QN,Najvar LK,Bocanegra R,Loebenberg D,Graybill JR.In vivo activity of posaconazole against mucor spp. in an immunosuppressed‐mouse model.Antimicrob Agents Chemother.2002;46:23102312.
        43. Almyroudis NG,Sutton DA,Fothergill AW,Rinaldi MG,Kusne S.In vitro susceptibilities of 217 clinical isolates of zygomycetes to conventional and new antifungal agents.Antimicrob Agents Chemother.2007;51:25872590.
        44. Greenburg RN,Mullane K,van Burik J‐A.H, et al.Posaconazole as salvage therapy for zygomycosis.Antimicrob Agents Chemother.2006;50:126133.
        45. van Burik J‐AH,Hare RS,Solomon HF,Corrado ML,Kontoyiannis DP.Posaconazole is effective as salvage therapy in zygomycosis: a retrospective summary of 91 cases.Clin Infect Dis.2006;42:e61e65.
        46. Malani AN,Kauffman CA.Changing epidemiology of rare mould infections.Drugs.2007;67:18031812.
        47. Perfect JR.Posaconazole.Drugs.2005;65:15681569.
        48. Galgiani JN,Ampel NM,Blair JE, et al.Coccidioidomycosis.Clin Infect Dis.2005;41:12171223.
        49. Saubolle MA,McKellar PP,Sussland D.Epidemiologic, clinical, and diagnostic aspects of coccidioidomycosis.J Clin Microbiol.2007;4:2630.
        50. Gonzalez GM,Gonzalez G,Najvar LK,Graybill JR.Therapeutic efficacy of caspofungin alone and in combination with amphotericin B deoxycholate for coccidioidomycosis in a mouse model.J Antimicrob Chemother.2007;60:13411346.
        51. Ramani R,Chaturvedi V.Antifungal susceptibility profiles of Coccidioides immitis and Coccidioides posadasii from endemic and non‐endemic areas.Mycopathologia.2007;163:3119.
        52. Li R‐K,Ciblak MA,Nordoff N,Pasarell L,Warnock DW,McGinnis MR.In vitro activities of voriconazole, itraconazole, and amphotericin B against Blastomyces dermatitidis, Coccidioides immitis, and Histoplasma capsulatum.Antimicrob Agents Chemother.2000;44:17341736.
        53. Anstead GM,Corcoran G,Lewis J,Berg D,Graybill JR.Refractory coccidioidomycosis treated with posaconazole.Clin Infect Dis.2005;40:17701776.
        54. Cantanzaro A,Could GA,Stevens DA, et al.Safety, tolerance, and efficacy of posaconazole therapy in patients with nonmeningeal disseminated or chronic pulmonary coccidioidomycosis.Clin Infect Dis.2007;45:562568.
        55. Stevens DA,Rendon A,Gaona‐Flores V, et al.Posaconazole therapy for chronic refractory coccidioidomycosis.Chest.2007;132:952958.
        56. Wheat LJ,Freifeld AG,Kleiman MB, et al.Clinical practice guidelines for the management of patients with histoplasmosis: 2007 update by the Infectious Diseases Society of America.Clin Infect Dis.2007;45:807825.
        57. Gonzalez GM,Fothergill AW,Sutton DA,Rinaldi G,Loebenberg D.In vitro activities of new and established triazoles against opportunistic filamentous and dimorphic fungi.Med Mycol.2005;43:281284.
        58. Connolly P,Wheat J,Schnizlein‐Bick C, et al.Comparison of a new triazole antifungal agent, Schering 56592, with itraconazole and amphotericin B for treatment of histoplasmosis in immunocompetent mice.Antimicrob Agents Chemother.1999;439:322328.
        59. Wheat LJ,Connolly P,Smedema M, et al.Activity of newer triazoles against Histoplasma capsulatum from patients with AIDS who failed fluconazole.J Antimicrob Chemother.2006;57:12351239.
        60. Freifeld AG,Iwen PC,Leisak BL,Gilroy RK,Stevens RB,Kalil AC.Histoplasmosis in solid organ transplant recipients at a large midwestern university transplant center.Transpl Infect Dis.2005;7:109115.
        61. Restrepo A,Tobin A,Clark B, et al.Salvage treatment of histoplasmosis with posaconazole.J Infect.2007;54:319327.
        References
        1. Spellberg BJ,Filler SG,Edwards JE.Current treatment strategies for disseminated candidiasis.Clin Infect Dis.2006;42:244251.
        2. Bennett JE.Echinocandins for candidemia in adults without neutropenia.N Engl J Med.2006;355:11541159.
        3. Ostrosky‐Zeichner L,Oude Lashof AML,Kullberg BJ,Rex JH.Voriconazole salvage treatment of invasive candidiasis.Eur J Clin Microbiol Infect Dis.2003;22:651655.
        4. Pappas PG,Rex JH,Sobel JD, et al.Guidelines for treatment of candidiasis.Clin Infect Dis.2004;38:161189.
        5. Mora‐Duarte J,Betts R,Rotstein C, et al.Comparison of caspofugin and amphotericin B for invasive candidiasis.N Engl J Med.2002;347:20202029.
        6. Kuse E‐R,Chetchotisakd P,Arns da Cunha C, et al.Micafungin versus liposomal amphotericin B for candidaemia and invasive candidosis: a phase III randomized double‐blind trial.Lancet.2007;369:15191527.
        7. Reboli AC,Rotstein C,Pappas PG, et al.Anidulafungin versus fluconazole for invasive candidiasis.N Engl J Med.2007;356:24722482.
        8. Cornely OA,Lasso M,Betts R, et al.Caspofungin for the treatment of less common forms of invasive candidiasis.J Antimicrob Chemother.2007;60:363369.
        9. Kullberg BJ,Sobel JD,Ruhnke M, et al.Voriconazole versus a regimen of amphotericin B followed by fluconazole for candidaemia in non‐neutropenic patients: a randomized non‐inferiority trial.Lancet.2005;366:14351442.
        10. Antoniadou A,Giamarellou H.Fever of unknown origin in febrile leucopenia.Infect Dis Clin North Am.2007;21:10551090.
        11. Hughes WT,Armstrong D,Bodey GP, et al.2002 Guidelines for the use of antimicrobial agents in neutropenic patients with cancer.Clin Infect Dis.2002;34:730751.
        12. Pizzo PA,Robichaud KJ,Gill FA, et al.Empiric antibiotic and antifungal therapy for cancer patients with prolonged fever and granulocytopenia.Am J Med.1982;72:101111.
        13. EORTC International Antimicrobial Therapy Cooperative Group.Empiric antifungal therapy in febrile granulocytopenic patients.Am J Med.1989;86:668672.
        14. Walsh TJ,Finber RW,Arndt C, et al.Liposomal amphotericin B for empirical therapy in patients with persistent fever and neutropenia.N Engl J Med.1999;340:76447671.
        15. Prentice HG,Hann IM,Herbrecht R, et al.A randomized comparison of liposomal versus conventional amphotericin B for the treatment of pyrexia of unknown origin in neutropenic patients.Br J Haematol.1997;98:711718.
        16. Boogaerts MA,Maertens J,Van Der Geest R, et al.Pharmacokinetics and safety of a 7 day administration of intravenous itraconazole followed by a 14‐day administration of itraconazole oral solution in patients with hematologic malignancy.Antimicrob Agents Chemother.2001;45:981985.
        17. Walsh TJ,Teppler H,Donowitz GR, et al.Caspofungin versus liposomal amphotericin B for empirical antifungal therapy in patients with persistent fever and neutropenia.N Engl J Med.2004;351:13921402.
        18. Marco F,Pfaller MA,Messer S, et al.In vitro activities of voriconazole and four other antifungal agents against 394 clinical isolates of Candida spp.Antimicrob Agents Chemother.1998;42:161163.
        19. Marco F,Pfaller MA,Messer S, et al.Antifungal activity of a new triazole, voriconazole (UK‐109,496) compared with three other antifungal agents tested against clinical isolates of filamentous fungi.Med Mycol.1998;36:433436.
        20. Walsh TJ,Pappas P,Winston DJ, et al.Voriconazole compared with liposomal amphotericin B for empirical antifungal therapy in patients with neutropenia and persistent fever.N Engl J Med.2002;346:225234.
        21. Walsh TJ,Anaissie EJ,Denning DW, et al.Treatment of aspergillosis: clinical practice guidelines of the Infectious Diseases Society of America.Clin Infect Dis.2008;46:327360.
        22. Herbrecht R,Denning DW,Patterson TF, et al.Voriconazole versus amphotericin B for primary therapy of invasive aspergillosis.N Engl J Med.2002;347:408415.
        23. Maertens J,Raad I,Petrikkos G, et al.Efficacy and safety of caspofungin for treatment of invasive aspergillosis in patients refractory to or intolerant of conventional antifungal therapy.Clin Infect Dis.2004;39:15631571.
        24. Denning DW,Marr KA,Lau WM, et al.Micafungin (FK463), alone or in combination with other systemic antifungal agents, for the treatment of acute invasive aspergillosis.J Infect2006;53:337349.
        25. Cornely OA,Maertens J,Winston DJ, et al.Posaconazole vs. fluconazole or itraconazole prophylaxis in patients with neutropenia.N Engl J Med.2007;356:348359.
        26. Ullmann AJ,Lipton JH,Vesole DH, et al.Posaconazole or fluconazole for prophylaxis in severe graft versus host disease.N Engl J Med.2007;356:335347.
        27. Walsh TJ,Raad I,Patterson TF, et al.Treatment of invasive aspergillosis with posaconazole in patients who are refractory to or intolerant of conventional therapy: an externally controlled trial.Clin Infect Dis.2007;44:212.
        28. Cornely OA,Maertens J,Bresnik M, et al.Liposomal amphotericin B as initial therapy for invasive mold infection: a randomized trial comparing a high‐loading dose regimen with standard dosing (AmBiLoad trial).Clin Infect Dis.2007;44:12891297.
        29. Ally R,Schürmann D,Dreisel W, et al.A randomized, double‐blind, double‐dummy, multicenter trial of voriconazole and fluconazole in the treatment of esophageal candidiasis in immunocompromised patients.Clin Infect Dis.2001;33:14471454.
        30. Perfect JR,Marr KA,Walsh TJ, et al.Voriconazole treatment for less‐common, emerging, or refractory fungal infections.Clin Infect Dis.2003;36:11221131.
        31. Villanueva A,Arathoon EG,Gotuzzo E, et al.A randomized double‐blind study of caspofungin versus amphotericin for the treatment of candidal esophagitis.Clin Infect Dis.2001;33:15291535.
        32. Villanueva A,Gotuzzo E,Arathoon EG, et al.A randomized double‐blind study of caspofungin versus fluconazole for the treatment of esophageal candidiasis.Am J Med.2002;113:294299.
        33. de Wet N,Llanos‐Cuentas A,Suleiman J, et al.A randomized, double‐blind, parallel‐group, dose‐response study of micafungin compared with fluconazole for the treatment of esophageal candidiasis in HIV‐positive patients.Clin Infect Dis.2004;39:842849.
        34. Krause DS,Simjee AE,van Rensburg C, et al.A randomized, double‐blind trial of anidulafungin versus fluconazole for the treatment of esophageal candidiasis.Clin Infect Dis.2004;39:770775.
        35. Vasquez JA,Skiest DJ,Nieto L, et al.A multicenter randomized trial evaluating posaconazole versus fluconazole for the treatment of oropharyngeal candidiasis in subjects with HIV/AIDS.Clin Infect Dis.2006;42:11791186.
        36. Skiest DJ,Vasquez JA,Anstead GM, et al.Posaconazole for the treatment of azole‐refractory oropharyngeal and esophageal candidiasis in subjects with HIV infection.Clin Infect Dis.2007;44:607614.
        37. Roden MM,Zaoutis TE,Buchanan WL, et al.Epidemiology and outcome of zygomycosis: a review of 929 reported cases.Clin Infect Dis.2005;41:634653.
        38. Kontoyiannis DP,Wessel VC,Bodey GP,Rolston KVI.Zygomycosis in the 1990s in a tertiary‐care cancer center.Clin Infect Dis.2000;30:851856.
        39. Kontoyiannis DP,Lionakis MS,Lewis RE, et al.Zygomycosis in a tertiary‐care center in the era of Aspergillus‐active antifungal therapy: a case‐control observational study of 27 recent cases.J Infect Dis.2005;191:13501360.
        40. Kontoyiannis DP,Lewis RE.Invasive zygomycosis: update on pathogenesis, clinical manifestations, and management.Infect Dis Clin North Am.2006;20:581607.
        41. Sun QN,Fothergill AW,McCarthy DI,Rinaldi MG,Graybill JR.In vitro activities of posaconazole itraconazole, voriconazole, amphotericin B, and fluconazole against 37 clinical isolates of zygomycetes.Antimicrob Agents Chemother.2002;46:15811582.
        42. Sun QN,Najvar LK,Bocanegra R,Loebenberg D,Graybill JR.In vivo activity of posaconazole against mucor spp. in an immunosuppressed‐mouse model.Antimicrob Agents Chemother.2002;46:23102312.
        43. Almyroudis NG,Sutton DA,Fothergill AW,Rinaldi MG,Kusne S.In vitro susceptibilities of 217 clinical isolates of zygomycetes to conventional and new antifungal agents.Antimicrob Agents Chemother.2007;51:25872590.
        44. Greenburg RN,Mullane K,van Burik J‐A.H, et al.Posaconazole as salvage therapy for zygomycosis.Antimicrob Agents Chemother.2006;50:126133.
        45. van Burik J‐AH,Hare RS,Solomon HF,Corrado ML,Kontoyiannis DP.Posaconazole is effective as salvage therapy in zygomycosis: a retrospective summary of 91 cases.Clin Infect Dis.2006;42:e61e65.
        46. Malani AN,Kauffman CA.Changing epidemiology of rare mould infections.Drugs.2007;67:18031812.
        47. Perfect JR.Posaconazole.Drugs.2005;65:15681569.
        48. Galgiani JN,Ampel NM,Blair JE, et al.Coccidioidomycosis.Clin Infect Dis.2005;41:12171223.
        49. Saubolle MA,McKellar PP,Sussland D.Epidemiologic, clinical, and diagnostic aspects of coccidioidomycosis.J Clin Microbiol.2007;4:2630.
        50. Gonzalez GM,Gonzalez G,Najvar LK,Graybill JR.Therapeutic efficacy of caspofungin alone and in combination with amphotericin B deoxycholate for coccidioidomycosis in a mouse model.J Antimicrob Chemother.2007;60:13411346.
        51. Ramani R,Chaturvedi V.Antifungal susceptibility profiles of Coccidioides immitis and Coccidioides posadasii from endemic and non‐endemic areas.Mycopathologia.2007;163:3119.
        52. Li R‐K,Ciblak MA,Nordoff N,Pasarell L,Warnock DW,McGinnis MR.In vitro activities of voriconazole, itraconazole, and amphotericin B against Blastomyces dermatitidis, Coccidioides immitis, and Histoplasma capsulatum.Antimicrob Agents Chemother.2000;44:17341736.
        53. Anstead GM,Corcoran G,Lewis J,Berg D,Graybill JR.Refractory coccidioidomycosis treated with posaconazole.Clin Infect Dis.2005;40:17701776.
        54. Cantanzaro A,Could GA,Stevens DA, et al.Safety, tolerance, and efficacy of posaconazole therapy in patients with nonmeningeal disseminated or chronic pulmonary coccidioidomycosis.Clin Infect Dis.2007;45:562568.
        55. Stevens DA,Rendon A,Gaona‐Flores V, et al.Posaconazole therapy for chronic refractory coccidioidomycosis.Chest.2007;132:952958.
        56. Wheat LJ,Freifeld AG,Kleiman MB, et al.Clinical practice guidelines for the management of patients with histoplasmosis: 2007 update by the Infectious Diseases Society of America.Clin Infect Dis.2007;45:807825.
        57. Gonzalez GM,Fothergill AW,Sutton DA,Rinaldi G,Loebenberg D.In vitro activities of new and established triazoles against opportunistic filamentous and dimorphic fungi.Med Mycol.2005;43:281284.
        58. Connolly P,Wheat J,Schnizlein‐Bick C, et al.Comparison of a new triazole antifungal agent, Schering 56592, with itraconazole and amphotericin B for treatment of histoplasmosis in immunocompetent mice.Antimicrob Agents Chemother.1999;439:322328.
        59. Wheat LJ,Connolly P,Smedema M, et al.Activity of newer triazoles against Histoplasma capsulatum from patients with AIDS who failed fluconazole.J Antimicrob Chemother.2006;57:12351239.
        60. Freifeld AG,Iwen PC,Leisak BL,Gilroy RK,Stevens RB,Kalil AC.Histoplasmosis in solid organ transplant recipients at a large midwestern university transplant center.Transpl Infect Dis.2005;7:109115.
        61. Restrepo A,Tobin A,Clark B, et al.Salvage treatment of histoplasmosis with posaconazole.J Infect.2007;54:319327.
        Issue
        Journal of Hospital Medicine - 4(2)
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        Journal of Hospital Medicine - 4(2)
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        102-111
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        Clinical indications for newer antifungal agents
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        Clinical indications for newer antifungal agents
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        antifungal drugs, Aspergillus, candidemia, febrile neutropenia, fungal infection
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        antifungal drugs, Aspergillus, candidemia, febrile neutropenia, fungal infection
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        Prescribing Error Education

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        Assessing the impact of an educational program on decreasing prescribing errors at a university hospital

        Medication errors are an often preventable consequence of the medication use process. Multiple reviews, including the recent Preventing Medication Errors by the Institute of Medicine,1 have emphasized the need to curtail process‐related deficiencies in medication use. Among inpatients, medication errors account for about 20% of medical errors.2 Medication errors can occur at the point of prescribing, transcribing, dispensing, administration, and monitoring. Prescribing errors are the most common and account for 39% to 49% of medication errors among hospitalized patients.3, 4

        The Joint Commission has mandated that healthcare institutions track and intervene within the medication use process to reduce errors.5 A number of complex and costly interventions have been forwarded with significant evidence bases, including computerized physician order entry (CPOE), clinical decision‐support systems, and pharmacist participation on rounding medical teams.1 However, little has been published on the effectiveness of providing education and feedback to institutional clinicians to reduce prescribing‐related errors.68

        Providers often are already aware of classic medication order errors, but at most institutions, specific examples of prescribing errors are not regularly communicated from the pharmacy dispensary to prescribers. One exception occurs when a dispensary pharmacist contacts a prescriber to clarify an order. However, this usually takes place while that prescriber is focused on the care of another patient, and it is not a good educational setting to reduce future medication order errors.

        We delivered a series of short educational sessions to internal medicine (IM) residents, providing repeated feedback on prescribing errors using examples specific to our institution. The sessions followed the effective pharmaceutical industry paradigms of detailing and repeatedly exposing physicians to an educational message to maintain its salience. This innovation report documents the effect of this pharmacist‐led program on prescribing errors made by IM residents.

        METHODS

        This study was deemed exempt by the institutional review board of the University of Toledo.

        Study Design

        This study used a prospective interrupted time series design. Study participants included all IM residents at the 320‐bed University of Toledo Medical Center.

        Educational Intervention

        In July 2006, the Department of Internal Medicine required all IM residents to participate in a weekly 3‐hour didactic training seminar series. The educational intervention occurred longitudinally during a portion of that weekly seminar series. Attendance was mandatory, but the level of participation varied across individual residents. No formal assessment or quiz was used for each resident during these discussions.

        The intervention had 2 phases and was designed and executed by the primary author within his roles as an IM clinical pharmacist and faculty member. Phase 1 was an initial hour‐long didactic lecture on prescribing errors at the beginning of November 2006. This lecture focused on definitions and categories of medical errors and medication errors, Institute of Medicine reports, Joint Commission medication management requirements, and institutional medication order policies.

        Phase 2 included a number of short, biweekly follow‐up discussion sessions in November and December 2006 and thereafter was modified to monthly discussions from January to May 2007. Discussions specifically addressed prescribing errors identified by the medication safety officer and primary author during the previous month. Sessions were approximately 15 minutes long and followed a handout that highlighted specific and commonly seen prescribing errors within the facility (Figure 1). Within these discussions, the error subtype was identified, and suggestions for properly writing the order were given.

        Figure 1
        Sample biweekly discussion handout (the answers are not provided on the resident handout).

        Prescribing Error Definition and Subtypes

        Prescribing error was defined as any error on a physician medication order form that was sent to the pharmacy as a dispensing request.

        The subtypes of prescribing errors were as follows:

        • Orders containing unapproved abbreviations.

        • As‐needed orders without indication.

        • Resume home medications orders.

        • Double‐range orders (eg, 1‐2 Percocet q4‐6h prn headache).

        • Wrong drug.

        • Wrong dose.

        • Wrong route.

        • Wrong frequency.

        • Medication order for which the patient has a documented allergy.

        • Incomprehensible or illegible orders.

        Data Collection

        Prescribing errors were collected from October 2006 to June 2007 for 13 hospital units that had IM or subspecialty patients. During this time, a stable group of IM residents rotated on these units among various clinical services; no new residents entered or dropped out during the study period, except for times when they may have had an ambulatory rotation. Data collected in October 2006 established the preintervention baseline. Data were collected during the educational intervention at intervals of 1, 3, and 6 months (December, February, and May). Postintervention data were collected in June 2007.

        During the study period, staff pharmacists continually screened medication orders for prescribing errors. Once identified, the incorrect orders were collected, transcribed, coded, and entered into a database by the medication safety officer. On a monthly basis, prescribing error rates were calculated by the division of the number of prescribing errors by the total number of medication orders within the facility.

        Data Analysis

        The experiment‐wise alpha for the main outcome was 0.05. The primary outcome was the frequency of prescribing errors across the preintervention (month 0), intervention (months 1, 3, and 6), and postintervention (month 7) periods. The primary analysis compared these 5 time periods with 10 Bonferroni‐adjusted chi‐square tests, reducing the pairwise alpha to 0.005.

        RESULTS

        Forty‐two IM residents participated in this study. Prior to the educational intervention, prescribing errors affected 2.25% (861/38,275) of the institution's medication orders (Figure 2). Following phase 1 and early into phase 2 of the prescribing error education, the frequency dropped to 1.51% (P < 0.001); that is, there was a 33% decline from the baseline. During the remainder of the intervention period, the frequency of prescribing errors fluctuated but remained lower than that observed pre‐intervention (P < 0.001 for each pairwise comparison to the baseline). Post‐intervention, the frequency of prescribing errors rose to 2.33% and was similar to that observed at the baseline (P = 0.49).

        Figure 2
        Frequency of prescribing errors.

        DISCUSSION

        An educational intervention that highlighted institution‐specific prescribing errors reduced such errors by 33% within the first month and resulted in a mean 26% reduction during the 6‐month intervention period. Without ongoing education, however, the frequency of prescribing errors returned to preintervention period levels.

        Our findings compare favorably to results obtained by other more complex and costly methods used to reduce medication errors, namely, CPOE, clinical decision‐support software, and clinical pharmacists on medical rounds.1 For example, in 1 study, prescribing errors were reduced by 19% following the implementation of CPOE alone.9 In another report, CPOE with clinical decision‐support software led to a more dramatic reduction of 81%.10 Additionally, pharmacist involvement on medical rounds has reduced adverse drug events by 78%.11

        The frequency of prescribing errors found in this study was similar to that found in previous literature, although the variation in the definitions limits this comparison somewhat.12 Interestingly, the frequency of errors increased as the overall number of medication orders for the facility increased (see the ratios in Figure 2). This suggests that errors may be more likely during busier time periods, which are defined by higher total order volumes. Others have made similar observations.13 On most occasions, the individual prescribing errors seemed obvious and most likely due to a physician's haste.

        This study had some limitations, including its interrupted time series design, which limits the ability to define a causal relationship. However, a causal effect is suggested by the differences before and during intervention as well as the return to the preintervention error frequency after the intervention had concluded. Second, the reported frequencies represent all medication orders in the studied clinical areas, not only those orders written by medical residents who participated in the intervention, although they do account for a large portion of the prescribing at the study hospital. Third, we did not assess specific resident errors or compare changes in the types of errors over time. Fourth, generalizability is limited to IM residents at an academic institution. As trainees, the IM residents may have been both keener to participate in and more accessible for educational opportunities such as this study. Fifth, as noted previously, the IM residents in this study not only practiced in the inpatient areas but had outpatient clinic rotations as well. It is conceivable that the most error‐prone residents rotated on the inpatient units before and after the intervention period but not during it. This is not very likely but cannot be excluded.

        CONCLUSIONS

        Adverse drug events have an impact on patient safety and can commonly occur following prescribing errors. Therefore, reducing prescribing errors is extremely important. The longitudinal education of residents using a periodic educational intervention provides a successful and economically feasible prescribing error prevention strategy, although the effects are quickly reversed following cessation of the educational component. Therefore, supporting an ongoing commitment to trainee education and communication between pharmacy and prescribers about institution‐specific medication errors appears warranted.

        Acknowledgements

        The authors gratefully acknowledge Ziad Mattar, MD, the 2006‐2007 University of Toledo College of Medicine Internal Medicine Chief Resident, for his organizational influence regarding the educational sessions with internal medicine residents. In addition, the University of Toledo College of Medicine Medication Safety Officer, Ms. Jennifer Guy, provided great assistance in accumulating the data for this study.

        References
        1. Institute of Medicine.Preventing Medication Errors: Quality Chasm Series.Washington, DC:National Academy Press;2007.
        2. Leape LL,Brennan TA,Laird N, et al.The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II.N Engl J Med.1991;324(6):377384.
        3. Bates DW,Cullen DJ,Laird N, et al.Incidence of adverse drug events and potential adverse drug events: implications for practice.JAMA.1995;274:2934.
        4. Leape LL,Bates DW,Cullen DJ, et al.Systems analysis of adverse drug events.JAMA.1995;274:3543.
        5. Comprehensive Accreditation Manual for Hospitals.Oakbrook Terrace, IL:Joint Commission on Accreditation of Healthcare Organizations;2004.
        6. Peeters MJ.Education regarding medication order errors.CJHP.2007;60:130.
        7. Abushaiga ME,Zaran FK,Bach DS,Smolarek RT,Farber MS.Educational interventions to reduce use of unsafe abbreviations.Am J Health‐Syst Pharm.2007;64:11701173.
        8. Shaw J,Harris P,Keogh G,Graudins L,Perks E,Thomas PS.Error reduction: academic detailing as a method to reduce incorrect prescriptions.Eur J Clin Pharmacol.2003;59:697699.
        9. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280:13111316.
        10. Bates DW,Teich JM,Lee J, et al.The impact of computerized physician order entry on medication error prevention.J Am Med Inform Assoc.1999;6:313321.
        11. Kucukarslan SN,Peters M,Mlynarek M,Nafziger DA.Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units.Arch Intern Med.2003;163:20142018.
        12. Franklin BD,Vincent C,Schacter M,Barber N.The incidence of prescribing errors in hospital inpatients.Drug Saf.2005;28:891900.
        13. Wingert WA,Chan LS,Stewart K,Lawrence L,Portnoy B.A study of the quality of prescriptions issued in a busy pediatric emergency room.Public Health Rep.1975;90(5):402408.
        Article PDF
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        97-101
        Legacy Keywords
        education, medical errors, medication errors
        Article PDF
        Article PDF

        Medication errors are an often preventable consequence of the medication use process. Multiple reviews, including the recent Preventing Medication Errors by the Institute of Medicine,1 have emphasized the need to curtail process‐related deficiencies in medication use. Among inpatients, medication errors account for about 20% of medical errors.2 Medication errors can occur at the point of prescribing, transcribing, dispensing, administration, and monitoring. Prescribing errors are the most common and account for 39% to 49% of medication errors among hospitalized patients.3, 4

        The Joint Commission has mandated that healthcare institutions track and intervene within the medication use process to reduce errors.5 A number of complex and costly interventions have been forwarded with significant evidence bases, including computerized physician order entry (CPOE), clinical decision‐support systems, and pharmacist participation on rounding medical teams.1 However, little has been published on the effectiveness of providing education and feedback to institutional clinicians to reduce prescribing‐related errors.68

        Providers often are already aware of classic medication order errors, but at most institutions, specific examples of prescribing errors are not regularly communicated from the pharmacy dispensary to prescribers. One exception occurs when a dispensary pharmacist contacts a prescriber to clarify an order. However, this usually takes place while that prescriber is focused on the care of another patient, and it is not a good educational setting to reduce future medication order errors.

        We delivered a series of short educational sessions to internal medicine (IM) residents, providing repeated feedback on prescribing errors using examples specific to our institution. The sessions followed the effective pharmaceutical industry paradigms of detailing and repeatedly exposing physicians to an educational message to maintain its salience. This innovation report documents the effect of this pharmacist‐led program on prescribing errors made by IM residents.

        METHODS

        This study was deemed exempt by the institutional review board of the University of Toledo.

        Study Design

        This study used a prospective interrupted time series design. Study participants included all IM residents at the 320‐bed University of Toledo Medical Center.

        Educational Intervention

        In July 2006, the Department of Internal Medicine required all IM residents to participate in a weekly 3‐hour didactic training seminar series. The educational intervention occurred longitudinally during a portion of that weekly seminar series. Attendance was mandatory, but the level of participation varied across individual residents. No formal assessment or quiz was used for each resident during these discussions.

        The intervention had 2 phases and was designed and executed by the primary author within his roles as an IM clinical pharmacist and faculty member. Phase 1 was an initial hour‐long didactic lecture on prescribing errors at the beginning of November 2006. This lecture focused on definitions and categories of medical errors and medication errors, Institute of Medicine reports, Joint Commission medication management requirements, and institutional medication order policies.

        Phase 2 included a number of short, biweekly follow‐up discussion sessions in November and December 2006 and thereafter was modified to monthly discussions from January to May 2007. Discussions specifically addressed prescribing errors identified by the medication safety officer and primary author during the previous month. Sessions were approximately 15 minutes long and followed a handout that highlighted specific and commonly seen prescribing errors within the facility (Figure 1). Within these discussions, the error subtype was identified, and suggestions for properly writing the order were given.

        Figure 1
        Sample biweekly discussion handout (the answers are not provided on the resident handout).

        Prescribing Error Definition and Subtypes

        Prescribing error was defined as any error on a physician medication order form that was sent to the pharmacy as a dispensing request.

        The subtypes of prescribing errors were as follows:

        • Orders containing unapproved abbreviations.

        • As‐needed orders without indication.

        • Resume home medications orders.

        • Double‐range orders (eg, 1‐2 Percocet q4‐6h prn headache).

        • Wrong drug.

        • Wrong dose.

        • Wrong route.

        • Wrong frequency.

        • Medication order for which the patient has a documented allergy.

        • Incomprehensible or illegible orders.

        Data Collection

        Prescribing errors were collected from October 2006 to June 2007 for 13 hospital units that had IM or subspecialty patients. During this time, a stable group of IM residents rotated on these units among various clinical services; no new residents entered or dropped out during the study period, except for times when they may have had an ambulatory rotation. Data collected in October 2006 established the preintervention baseline. Data were collected during the educational intervention at intervals of 1, 3, and 6 months (December, February, and May). Postintervention data were collected in June 2007.

        During the study period, staff pharmacists continually screened medication orders for prescribing errors. Once identified, the incorrect orders were collected, transcribed, coded, and entered into a database by the medication safety officer. On a monthly basis, prescribing error rates were calculated by the division of the number of prescribing errors by the total number of medication orders within the facility.

        Data Analysis

        The experiment‐wise alpha for the main outcome was 0.05. The primary outcome was the frequency of prescribing errors across the preintervention (month 0), intervention (months 1, 3, and 6), and postintervention (month 7) periods. The primary analysis compared these 5 time periods with 10 Bonferroni‐adjusted chi‐square tests, reducing the pairwise alpha to 0.005.

        RESULTS

        Forty‐two IM residents participated in this study. Prior to the educational intervention, prescribing errors affected 2.25% (861/38,275) of the institution's medication orders (Figure 2). Following phase 1 and early into phase 2 of the prescribing error education, the frequency dropped to 1.51% (P < 0.001); that is, there was a 33% decline from the baseline. During the remainder of the intervention period, the frequency of prescribing errors fluctuated but remained lower than that observed pre‐intervention (P < 0.001 for each pairwise comparison to the baseline). Post‐intervention, the frequency of prescribing errors rose to 2.33% and was similar to that observed at the baseline (P = 0.49).

        Figure 2
        Frequency of prescribing errors.

        DISCUSSION

        An educational intervention that highlighted institution‐specific prescribing errors reduced such errors by 33% within the first month and resulted in a mean 26% reduction during the 6‐month intervention period. Without ongoing education, however, the frequency of prescribing errors returned to preintervention period levels.

        Our findings compare favorably to results obtained by other more complex and costly methods used to reduce medication errors, namely, CPOE, clinical decision‐support software, and clinical pharmacists on medical rounds.1 For example, in 1 study, prescribing errors were reduced by 19% following the implementation of CPOE alone.9 In another report, CPOE with clinical decision‐support software led to a more dramatic reduction of 81%.10 Additionally, pharmacist involvement on medical rounds has reduced adverse drug events by 78%.11

        The frequency of prescribing errors found in this study was similar to that found in previous literature, although the variation in the definitions limits this comparison somewhat.12 Interestingly, the frequency of errors increased as the overall number of medication orders for the facility increased (see the ratios in Figure 2). This suggests that errors may be more likely during busier time periods, which are defined by higher total order volumes. Others have made similar observations.13 On most occasions, the individual prescribing errors seemed obvious and most likely due to a physician's haste.

        This study had some limitations, including its interrupted time series design, which limits the ability to define a causal relationship. However, a causal effect is suggested by the differences before and during intervention as well as the return to the preintervention error frequency after the intervention had concluded. Second, the reported frequencies represent all medication orders in the studied clinical areas, not only those orders written by medical residents who participated in the intervention, although they do account for a large portion of the prescribing at the study hospital. Third, we did not assess specific resident errors or compare changes in the types of errors over time. Fourth, generalizability is limited to IM residents at an academic institution. As trainees, the IM residents may have been both keener to participate in and more accessible for educational opportunities such as this study. Fifth, as noted previously, the IM residents in this study not only practiced in the inpatient areas but had outpatient clinic rotations as well. It is conceivable that the most error‐prone residents rotated on the inpatient units before and after the intervention period but not during it. This is not very likely but cannot be excluded.

        CONCLUSIONS

        Adverse drug events have an impact on patient safety and can commonly occur following prescribing errors. Therefore, reducing prescribing errors is extremely important. The longitudinal education of residents using a periodic educational intervention provides a successful and economically feasible prescribing error prevention strategy, although the effects are quickly reversed following cessation of the educational component. Therefore, supporting an ongoing commitment to trainee education and communication between pharmacy and prescribers about institution‐specific medication errors appears warranted.

        Acknowledgements

        The authors gratefully acknowledge Ziad Mattar, MD, the 2006‐2007 University of Toledo College of Medicine Internal Medicine Chief Resident, for his organizational influence regarding the educational sessions with internal medicine residents. In addition, the University of Toledo College of Medicine Medication Safety Officer, Ms. Jennifer Guy, provided great assistance in accumulating the data for this study.

        Medication errors are an often preventable consequence of the medication use process. Multiple reviews, including the recent Preventing Medication Errors by the Institute of Medicine,1 have emphasized the need to curtail process‐related deficiencies in medication use. Among inpatients, medication errors account for about 20% of medical errors.2 Medication errors can occur at the point of prescribing, transcribing, dispensing, administration, and monitoring. Prescribing errors are the most common and account for 39% to 49% of medication errors among hospitalized patients.3, 4

        The Joint Commission has mandated that healthcare institutions track and intervene within the medication use process to reduce errors.5 A number of complex and costly interventions have been forwarded with significant evidence bases, including computerized physician order entry (CPOE), clinical decision‐support systems, and pharmacist participation on rounding medical teams.1 However, little has been published on the effectiveness of providing education and feedback to institutional clinicians to reduce prescribing‐related errors.68

        Providers often are already aware of classic medication order errors, but at most institutions, specific examples of prescribing errors are not regularly communicated from the pharmacy dispensary to prescribers. One exception occurs when a dispensary pharmacist contacts a prescriber to clarify an order. However, this usually takes place while that prescriber is focused on the care of another patient, and it is not a good educational setting to reduce future medication order errors.

        We delivered a series of short educational sessions to internal medicine (IM) residents, providing repeated feedback on prescribing errors using examples specific to our institution. The sessions followed the effective pharmaceutical industry paradigms of detailing and repeatedly exposing physicians to an educational message to maintain its salience. This innovation report documents the effect of this pharmacist‐led program on prescribing errors made by IM residents.

        METHODS

        This study was deemed exempt by the institutional review board of the University of Toledo.

        Study Design

        This study used a prospective interrupted time series design. Study participants included all IM residents at the 320‐bed University of Toledo Medical Center.

        Educational Intervention

        In July 2006, the Department of Internal Medicine required all IM residents to participate in a weekly 3‐hour didactic training seminar series. The educational intervention occurred longitudinally during a portion of that weekly seminar series. Attendance was mandatory, but the level of participation varied across individual residents. No formal assessment or quiz was used for each resident during these discussions.

        The intervention had 2 phases and was designed and executed by the primary author within his roles as an IM clinical pharmacist and faculty member. Phase 1 was an initial hour‐long didactic lecture on prescribing errors at the beginning of November 2006. This lecture focused on definitions and categories of medical errors and medication errors, Institute of Medicine reports, Joint Commission medication management requirements, and institutional medication order policies.

        Phase 2 included a number of short, biweekly follow‐up discussion sessions in November and December 2006 and thereafter was modified to monthly discussions from January to May 2007. Discussions specifically addressed prescribing errors identified by the medication safety officer and primary author during the previous month. Sessions were approximately 15 minutes long and followed a handout that highlighted specific and commonly seen prescribing errors within the facility (Figure 1). Within these discussions, the error subtype was identified, and suggestions for properly writing the order were given.

        Figure 1
        Sample biweekly discussion handout (the answers are not provided on the resident handout).

        Prescribing Error Definition and Subtypes

        Prescribing error was defined as any error on a physician medication order form that was sent to the pharmacy as a dispensing request.

        The subtypes of prescribing errors were as follows:

        • Orders containing unapproved abbreviations.

        • As‐needed orders without indication.

        • Resume home medications orders.

        • Double‐range orders (eg, 1‐2 Percocet q4‐6h prn headache).

        • Wrong drug.

        • Wrong dose.

        • Wrong route.

        • Wrong frequency.

        • Medication order for which the patient has a documented allergy.

        • Incomprehensible or illegible orders.

        Data Collection

        Prescribing errors were collected from October 2006 to June 2007 for 13 hospital units that had IM or subspecialty patients. During this time, a stable group of IM residents rotated on these units among various clinical services; no new residents entered or dropped out during the study period, except for times when they may have had an ambulatory rotation. Data collected in October 2006 established the preintervention baseline. Data were collected during the educational intervention at intervals of 1, 3, and 6 months (December, February, and May). Postintervention data were collected in June 2007.

        During the study period, staff pharmacists continually screened medication orders for prescribing errors. Once identified, the incorrect orders were collected, transcribed, coded, and entered into a database by the medication safety officer. On a monthly basis, prescribing error rates were calculated by the division of the number of prescribing errors by the total number of medication orders within the facility.

        Data Analysis

        The experiment‐wise alpha for the main outcome was 0.05. The primary outcome was the frequency of prescribing errors across the preintervention (month 0), intervention (months 1, 3, and 6), and postintervention (month 7) periods. The primary analysis compared these 5 time periods with 10 Bonferroni‐adjusted chi‐square tests, reducing the pairwise alpha to 0.005.

        RESULTS

        Forty‐two IM residents participated in this study. Prior to the educational intervention, prescribing errors affected 2.25% (861/38,275) of the institution's medication orders (Figure 2). Following phase 1 and early into phase 2 of the prescribing error education, the frequency dropped to 1.51% (P < 0.001); that is, there was a 33% decline from the baseline. During the remainder of the intervention period, the frequency of prescribing errors fluctuated but remained lower than that observed pre‐intervention (P < 0.001 for each pairwise comparison to the baseline). Post‐intervention, the frequency of prescribing errors rose to 2.33% and was similar to that observed at the baseline (P = 0.49).

        Figure 2
        Frequency of prescribing errors.

        DISCUSSION

        An educational intervention that highlighted institution‐specific prescribing errors reduced such errors by 33% within the first month and resulted in a mean 26% reduction during the 6‐month intervention period. Without ongoing education, however, the frequency of prescribing errors returned to preintervention period levels.

        Our findings compare favorably to results obtained by other more complex and costly methods used to reduce medication errors, namely, CPOE, clinical decision‐support software, and clinical pharmacists on medical rounds.1 For example, in 1 study, prescribing errors were reduced by 19% following the implementation of CPOE alone.9 In another report, CPOE with clinical decision‐support software led to a more dramatic reduction of 81%.10 Additionally, pharmacist involvement on medical rounds has reduced adverse drug events by 78%.11

        The frequency of prescribing errors found in this study was similar to that found in previous literature, although the variation in the definitions limits this comparison somewhat.12 Interestingly, the frequency of errors increased as the overall number of medication orders for the facility increased (see the ratios in Figure 2). This suggests that errors may be more likely during busier time periods, which are defined by higher total order volumes. Others have made similar observations.13 On most occasions, the individual prescribing errors seemed obvious and most likely due to a physician's haste.

        This study had some limitations, including its interrupted time series design, which limits the ability to define a causal relationship. However, a causal effect is suggested by the differences before and during intervention as well as the return to the preintervention error frequency after the intervention had concluded. Second, the reported frequencies represent all medication orders in the studied clinical areas, not only those orders written by medical residents who participated in the intervention, although they do account for a large portion of the prescribing at the study hospital. Third, we did not assess specific resident errors or compare changes in the types of errors over time. Fourth, generalizability is limited to IM residents at an academic institution. As trainees, the IM residents may have been both keener to participate in and more accessible for educational opportunities such as this study. Fifth, as noted previously, the IM residents in this study not only practiced in the inpatient areas but had outpatient clinic rotations as well. It is conceivable that the most error‐prone residents rotated on the inpatient units before and after the intervention period but not during it. This is not very likely but cannot be excluded.

        CONCLUSIONS

        Adverse drug events have an impact on patient safety and can commonly occur following prescribing errors. Therefore, reducing prescribing errors is extremely important. The longitudinal education of residents using a periodic educational intervention provides a successful and economically feasible prescribing error prevention strategy, although the effects are quickly reversed following cessation of the educational component. Therefore, supporting an ongoing commitment to trainee education and communication between pharmacy and prescribers about institution‐specific medication errors appears warranted.

        Acknowledgements

        The authors gratefully acknowledge Ziad Mattar, MD, the 2006‐2007 University of Toledo College of Medicine Internal Medicine Chief Resident, for his organizational influence regarding the educational sessions with internal medicine residents. In addition, the University of Toledo College of Medicine Medication Safety Officer, Ms. Jennifer Guy, provided great assistance in accumulating the data for this study.

        References
        1. Institute of Medicine.Preventing Medication Errors: Quality Chasm Series.Washington, DC:National Academy Press;2007.
        2. Leape LL,Brennan TA,Laird N, et al.The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II.N Engl J Med.1991;324(6):377384.
        3. Bates DW,Cullen DJ,Laird N, et al.Incidence of adverse drug events and potential adverse drug events: implications for practice.JAMA.1995;274:2934.
        4. Leape LL,Bates DW,Cullen DJ, et al.Systems analysis of adverse drug events.JAMA.1995;274:3543.
        5. Comprehensive Accreditation Manual for Hospitals.Oakbrook Terrace, IL:Joint Commission on Accreditation of Healthcare Organizations;2004.
        6. Peeters MJ.Education regarding medication order errors.CJHP.2007;60:130.
        7. Abushaiga ME,Zaran FK,Bach DS,Smolarek RT,Farber MS.Educational interventions to reduce use of unsafe abbreviations.Am J Health‐Syst Pharm.2007;64:11701173.
        8. Shaw J,Harris P,Keogh G,Graudins L,Perks E,Thomas PS.Error reduction: academic detailing as a method to reduce incorrect prescriptions.Eur J Clin Pharmacol.2003;59:697699.
        9. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280:13111316.
        10. Bates DW,Teich JM,Lee J, et al.The impact of computerized physician order entry on medication error prevention.J Am Med Inform Assoc.1999;6:313321.
        11. Kucukarslan SN,Peters M,Mlynarek M,Nafziger DA.Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units.Arch Intern Med.2003;163:20142018.
        12. Franklin BD,Vincent C,Schacter M,Barber N.The incidence of prescribing errors in hospital inpatients.Drug Saf.2005;28:891900.
        13. Wingert WA,Chan LS,Stewart K,Lawrence L,Portnoy B.A study of the quality of prescriptions issued in a busy pediatric emergency room.Public Health Rep.1975;90(5):402408.
        References
        1. Institute of Medicine.Preventing Medication Errors: Quality Chasm Series.Washington, DC:National Academy Press;2007.
        2. Leape LL,Brennan TA,Laird N, et al.The nature of adverse events in hospitalized patients: results of the Harvard Medical Practice Study II.N Engl J Med.1991;324(6):377384.
        3. Bates DW,Cullen DJ,Laird N, et al.Incidence of adverse drug events and potential adverse drug events: implications for practice.JAMA.1995;274:2934.
        4. Leape LL,Bates DW,Cullen DJ, et al.Systems analysis of adverse drug events.JAMA.1995;274:3543.
        5. Comprehensive Accreditation Manual for Hospitals.Oakbrook Terrace, IL:Joint Commission on Accreditation of Healthcare Organizations;2004.
        6. Peeters MJ.Education regarding medication order errors.CJHP.2007;60:130.
        7. Abushaiga ME,Zaran FK,Bach DS,Smolarek RT,Farber MS.Educational interventions to reduce use of unsafe abbreviations.Am J Health‐Syst Pharm.2007;64:11701173.
        8. Shaw J,Harris P,Keogh G,Graudins L,Perks E,Thomas PS.Error reduction: academic detailing as a method to reduce incorrect prescriptions.Eur J Clin Pharmacol.2003;59:697699.
        9. Bates DW,Leape LL,Cullen DJ, et al.Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.JAMA.1998;280:13111316.
        10. Bates DW,Teich JM,Lee J, et al.The impact of computerized physician order entry on medication error prevention.J Am Med Inform Assoc.1999;6:313321.
        11. Kucukarslan SN,Peters M,Mlynarek M,Nafziger DA.Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units.Arch Intern Med.2003;163:20142018.
        12. Franklin BD,Vincent C,Schacter M,Barber N.The incidence of prescribing errors in hospital inpatients.Drug Saf.2005;28:891900.
        13. Wingert WA,Chan LS,Stewart K,Lawrence L,Portnoy B.A study of the quality of prescriptions issued in a busy pediatric emergency room.Public Health Rep.1975;90(5):402408.
        Issue
        Journal of Hospital Medicine - 4(2)
        Issue
        Journal of Hospital Medicine - 4(2)
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        97-101
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        97-101
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        Assessing the impact of an educational program on decreasing prescribing errors at a university hospital
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        Assessing the impact of an educational program on decreasing prescribing errors at a university hospital
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        education, medical errors, medication errors
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        education, medical errors, medication errors
        Article Source
        Copyright © 2009 Society of Hospital Medicine
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        University of Toledo College of Pharmacy, 2801 West Bancroft, Mail Stop 609, Toledo, OH 43606
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        Editorial

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        Medical admission order sets to improve deep vein thrombosis prevention: A model for others or a prescription for mediocrity?

        Excellence is best described as doing the right things rightselecting the most important things to be done and then accomplishing them 100% correctly.

        In this issue of JHM, O'Connor et al.1 examine the impact of paper‐based admission order sets on several quality measures relevant to medical inpatients in a large community medical center, focusing the most attention on the use of venous thromboembolism (VTE) prophylaxis. Randomly selected medical admissions from 4 time periods were examined by chart review for use of the order set, and for the use of VTE prophylaxis (defined as either unfractionated heparin [UFH] 5,000 units subcutaneous [sc] twice daily [BID] or compression stockings). VTE prophylaxis was ordered in an abysmally low 10.9% of inpatients in the baseline period. In spite of the limitations inherent in a before and after study design and a failure to assess the appropriateness of VTE prophylaxis, VTE rates, or side effects, the authors present convincing evidence that improvement in VTE prophylaxis did occur. However, it was a very limited and suboptimal improvement. By the fourteenth and fifteenth month after order set introduction, only about one‐half of admissions used the order set, and even when the order set was used, only 44% had VTE prophylaxis ordered. The percent of patient‐days with pharmacologic VTE prophylaxis in medical inpatients improved after order set implementation, but remained very low, at 26%. Therefore, the key lessons to be learned from this study are likely derived from what went wrong, rather than what went right.

        Why did VTE prophylaxis rates stay so low in the face of a multiyear effort? An examination of more successful efforts,25 recent reviews in the VTE and quality improvement literature,610 and the Society of Hospital Medicine VTE Prevention Collaborative experience reveals several principles for effective improvement that were not followed in this study.

        A VTE PREVENTION ORDER SET SHOULD PROVIDE DECISION SUPPORT (NOT JUST A PROMPT)

        A simple prompt for mechanical prophylaxis or for UFH 5,000 units sc BID was embedded into a voluntary order set in this effort. Mechanical prophylaxis, pharmacologic prophylaxis, and no prophylaxis were treated as equal options, even though most medical inpatients have significant VTE risk factors,11, 12 and in spite of strong evidence‐based recommendations12 relegating mechanical prophylaxis to an adjunctive role for pharmacologic prophylaxis (unless there are contraindications to pharmacologic prophylaxis). The authors point out that the way order sets are structured or introduced is important to ensure they achieve the desired changes in practice. I could not agree more, but, unfortunately, the structure of their order set only secured the desired change in 44% of patients, even if you count compression stockings as adequate prophylaxis. This relatively poor result should have sparked a redesign of the VTE prevention component of the order set.

        A more effective order set would reflect an institutional VTE prevention protocol.6, 7, 9, 13 A VTE prevention protocol consists of a standardized VTE risk assessment and contraindications to pharmacologic or heparin prophylaxis, linked to a menu of appropriate VTE prophylaxis options for each level of risk.13 The best protocols provide decision support at the point of care,9, 13 and yet preserve the ability to customize care for special patient situations or circumstances.

        Ease of use issues and the lack of prospectively validated models have hindered widespread adoption of VTE risk assessment protocols (especially the point‐based models),14 but a simpler and more streamlined approach has been validated by the UCSD Medical Center experience,2 and by the general success of similar protocols in diverse medical centers taking part in the Society of Hospital Medicine (SHM) VTE Prevention Collaborative. This simpler method generally places patients into 1 of 3 levels of VTE risk, can be completed in seconds, and has excellent interobserver agreement. Reinforcing the expectation that pharmacologic prophylaxis is desirable for most ill inpatients (unless there is a contraindication to it) is likely more important than the finer details of the risk assessment model.

        PROTOCOLS AND ORDER SETS MUST REACH THE GREAT MAJORITY OF PATIENTS

        Protocols and order sets that sit on the shelf do not benefit patients. An order set that is used for one‐half of the targeted population has no chance of promoting excellent adherence to a protocol, and protocols/order sets must be widely adapted to be effective.13 Institutional mandates for the use of preprinted (or computerized) orders can be a very effective strategy. If the order set is constructed properly, it is easy to use and can actually save clinician time, thereby promoting widespread use, in some cases even without such a mandate. The SHM VTE Prevention Collaborative generally endorses an institution‐wide protocol and order set module that covers a variety of patient populations. A plug and play modular order set design allows the VTE prevention order set to be incorporated into all appropriate admission and transfer orders, and lends itself well to paper or computerized order formats.

        LAYER ON ADDITIONAL INTERVENTIONS TO ENHANCE THE POWER OF THE PROTOCOL

        Skillful introduction of a good order set that reaches most patients has often yielded observed VTE prophylaxis rates of 75% to 80% in the SHM VTE Prevention Collaborative. To reach higher levels, a multifaceted approach using a variety of techniques has been an effective strategy in the literature24, 6, 7, 10, 13, 15 and in the Collaborative. Educational programs alone,4, 16, 17 while not generally sufficient to bring about reliable VTE prophylaxis, remain an important intervention that can foster a more enthusiastic and appropriate use of order sets and protocols. Periodic audit and feedback and computerized decision support can also be very effective,3, 1822 particularly when there is an institutional protocol to hold up as the defining standard for adequate prophylaxis. We favor a method that involves real‐time identification of outliers (i.e., patients without prophylaxis who have some VTE risk and no obvious contraindication to prophylaxis). This identification can be done manually, but automated reports are generally feasible and effective. A simple templated note or page from a nurse or pharmacist to the provider of an outlier patient can bolster VTE prevention rates to well over 95%.5 Fatigue from alerts is minimized if this strategy is deployed after substantial improvement in VTE prophylaxis rates has been achieved via a well‐implemented and uniformly‐utilized order set. Trending and discussing cases of hospital‐acquired VTE can also motivate medical staff and reduce resistance to standardization.2, 3

        THE FOUNDATION FOR IMPROVEMENT MUST BE IN PLACE

        To explain why they did not implement educational programs, guidelines, or provide feedback to providers on their performance, the authors cite a lack of resources common to community medical centers. Yet, they were able to achieve the most resource‐intensive and challenging component of a VTE prevention effort, data collection and analysis. While resources for quality improvement are indeed insufficient in many academic and community hospitals, suboptimal levels of improvement tend to reflect, as in this study, fundamental failures in approach or execution. In this case, the order set design and implementation issues outlined above do not require extensive resources. Moreover, the foundation for effective improvement must be in place to address these issues effectively. This foundation includes administrative buy‐in that VTE prevention is an institutional priority, a commitment to support standardization (even in the face of occasional medical staff resistance), and a willingness to examine and redesign processes.13 It is unclear whether the administration was convinced that the effort should be a priority or whether this improvement team reported results through appropriate medical staff committees. The key point, of course, is that a culture of shared purpose, cooperation, and high expectations between the medical staff and the administration is more important than extensive resources. The right foundational elements put most improvement resources within the grasp of most medical centers.

        The authors present work that is praiseworthy in many respects, but their suboptimal levels of improvement should serve as a cautionary tale rather than a model for other centers. Core improvement principles are of key importance. A mere prompt to order VTE prophylaxis within voluntarily‐used order sets, without supporting strategies to enhance VTE prophylaxis, is a recipe for mediocre improvement. Far superior results have been demonstrated in both community and academic centers, even in environments with limited resources. A multifaceted approach, including order sets that promote VTE prophylaxis and provide decision support for the majority of the targeted population, proactive intervention applied to outliers who are not on appropriate prophylaxis, educational programs, and an institutional commitment to standardization, are the ingredients for excellent results.

        References
        1. O'Connor C,Adhikari N,DeCaire K,Friedrich J.Medical admission order sets to improve deep vein thrombosis prophylaxis rates and other outcomes.J Hosp Med.2009;4(2):8189.
        2. Maynard G,Jenkins I,Stone S, et al.Optimizing prevention of hospital‐acquired venous thromboembolism: prospective validation of a VTE risk assessment model and protocol. 2008 Abstracts: Research, Innovations, Clinical Vignettes Competition. 2008 National Meeting, Society of Hospital Medicine, April 3–5, 2008, San Diego, CA. Abstract 52, p29. Available at http://www.hospitalmedicine.org/Paperless2008/PDFs/Additional_Info/SHM08_Abstracts.pdf. Accessed November2008.
        3. Bullock‐Palmer RP,Weiss S,Hyman C.Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital.J Hosp Med.2008;3(2):148155.
        4. Cohn SL,Adekile A,Mahabir V.Improved use of thromboprophylaxis for deep vein thrombosis following an educational intervention.J Hosp Med.2006;1:331338.
        5. Stein J,Chernetsky Tejedor S,Shabbir H,O'Malley E.Situational awareness improves prevalence of VTE prophylaxis on multiple nursing units.J Hosp Med.2008;3(S1):41.
        6. Schunemann HJ,Cook D,Grimshaw J, et al.Antithrombotic and thrombolytic therapy: from evidence to application: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy.Chest.2004;126:688S696S.
        7. Tooher R,Middleton P,Pham C, et al.A systematic review of strategies to improve prophylaxis for venous thromboembolism in hospitals.Ann Surg.2005;241:397415.
        8. McMullin J,Cook D,Griffith L, et al.Minimizing errors of omission: behavioural reinforcement of heparin to avert venous emboli: the BEHAVE Study.Crit Care Med.2006;34:694699.
        9. Shojania KG,McDonald KM,Wachter RM,Owens DKClosing the Quality Gap: a Critical Analysis of Quality Improvement Strategies.Rockville, MD:Agency for Healthcare Research and Quality;2004.
        10. Oxman AD,Thomson MA,Davis DA,Haynes RB.No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.CMAJ.1995;153:14231431.
        11. Kahn SR,Panju A,Geerts W, et al.Multicenter evaluation of the use of venous thromboembolism prophylaxis in acutely ill medical patients in Canada.Thromb Res.2007;119:145155.
        12. Geerts WH,Bergqvist D,Pineo GF, et al.Prevention of venous thromboembolism: ACCP evidence‐based clinical practice guidelines. 8th ed.Chest.2008;133(6 Suppl):381S453S.
        13. Maynard G,Stein J.Preventing hospital‐acquired venous thromboembolism—a guide for effective quality improvement. Society of Hospital Medicine, VTE Quality Improvement Resource Room. Available at http://www.hospitalmedicine.org/ResourceRoomRedesign/RR_VTE/VTE_Home.cfm. Accessed November 14,2008.
        14. Caprini JA,Arcelus JI,Hasty JH, et al.Clinical assessment of venous thromboembolic risk in surgical patients.Semin Thromb Haemost.1991;17(Suppl 3):304312.
        15. Kakkar AK,Davidson BL,Haas SK.Compliance with recommended prophylaxis for venous thromboembolism: improving the use and rate of uptake of clinical practice guidelines.J Thromb Haemost.2004;2:221227.
        16. Levi D,Kupfter Y,Seneviratne C,Tessler S.Computerized order entry sets and intensive education improve the rate of prophylaxis for deep vein thrombophlebitis.Chest.1998;114(Suppl):280S.
        17. Dobesh PP,Stacy ZA.Effect of a clinical pharmacy education program on improvement in the quantity and quality of venous thromboembolism prophylaxis for medically ill patients.J Manag Care Pharm.2005;11:755762.
        18. Timmons S,O'Callaghan C,O'Connor M, et al.Audit guided action can improve the compliance with thromboembolic prophylaxis prescribing to hospitalized, acutely ill older adults.J Thromb Haemost.2005;3:21122113.
        19. Mosen D,Elliott CG,Egger MJ, et al.The effect of a computerized reminder system on the prevention of postoperative venous thromboembolism.Chest.2004;125:16351641.
        20. Kucher N,Koo S,Quiroz R, et al.Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969977.
        21. Durieux P,Nizard R,Ravaud P,Mounier N,Lepage E.A clinical decision support system for prevention of venous thromboembolism.JAMA.2000;283:28162821.
        22. Dexter PR,Perkins S,Overhage JM,Maharry K,Kohler RB,McDonald CJ.A computerized reminder system to increase the use of preventive care for hospitalized patients.N Engl J Med.2001;345:965970.
        Article PDF
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        77-80
        Sections
        Article PDF
        Article PDF

        Excellence is best described as doing the right things rightselecting the most important things to be done and then accomplishing them 100% correctly.

        In this issue of JHM, O'Connor et al.1 examine the impact of paper‐based admission order sets on several quality measures relevant to medical inpatients in a large community medical center, focusing the most attention on the use of venous thromboembolism (VTE) prophylaxis. Randomly selected medical admissions from 4 time periods were examined by chart review for use of the order set, and for the use of VTE prophylaxis (defined as either unfractionated heparin [UFH] 5,000 units subcutaneous [sc] twice daily [BID] or compression stockings). VTE prophylaxis was ordered in an abysmally low 10.9% of inpatients in the baseline period. In spite of the limitations inherent in a before and after study design and a failure to assess the appropriateness of VTE prophylaxis, VTE rates, or side effects, the authors present convincing evidence that improvement in VTE prophylaxis did occur. However, it was a very limited and suboptimal improvement. By the fourteenth and fifteenth month after order set introduction, only about one‐half of admissions used the order set, and even when the order set was used, only 44% had VTE prophylaxis ordered. The percent of patient‐days with pharmacologic VTE prophylaxis in medical inpatients improved after order set implementation, but remained very low, at 26%. Therefore, the key lessons to be learned from this study are likely derived from what went wrong, rather than what went right.

        Why did VTE prophylaxis rates stay so low in the face of a multiyear effort? An examination of more successful efforts,25 recent reviews in the VTE and quality improvement literature,610 and the Society of Hospital Medicine VTE Prevention Collaborative experience reveals several principles for effective improvement that were not followed in this study.

        A VTE PREVENTION ORDER SET SHOULD PROVIDE DECISION SUPPORT (NOT JUST A PROMPT)

        A simple prompt for mechanical prophylaxis or for UFH 5,000 units sc BID was embedded into a voluntary order set in this effort. Mechanical prophylaxis, pharmacologic prophylaxis, and no prophylaxis were treated as equal options, even though most medical inpatients have significant VTE risk factors,11, 12 and in spite of strong evidence‐based recommendations12 relegating mechanical prophylaxis to an adjunctive role for pharmacologic prophylaxis (unless there are contraindications to pharmacologic prophylaxis). The authors point out that the way order sets are structured or introduced is important to ensure they achieve the desired changes in practice. I could not agree more, but, unfortunately, the structure of their order set only secured the desired change in 44% of patients, even if you count compression stockings as adequate prophylaxis. This relatively poor result should have sparked a redesign of the VTE prevention component of the order set.

        A more effective order set would reflect an institutional VTE prevention protocol.6, 7, 9, 13 A VTE prevention protocol consists of a standardized VTE risk assessment and contraindications to pharmacologic or heparin prophylaxis, linked to a menu of appropriate VTE prophylaxis options for each level of risk.13 The best protocols provide decision support at the point of care,9, 13 and yet preserve the ability to customize care for special patient situations or circumstances.

        Ease of use issues and the lack of prospectively validated models have hindered widespread adoption of VTE risk assessment protocols (especially the point‐based models),14 but a simpler and more streamlined approach has been validated by the UCSD Medical Center experience,2 and by the general success of similar protocols in diverse medical centers taking part in the Society of Hospital Medicine (SHM) VTE Prevention Collaborative. This simpler method generally places patients into 1 of 3 levels of VTE risk, can be completed in seconds, and has excellent interobserver agreement. Reinforcing the expectation that pharmacologic prophylaxis is desirable for most ill inpatients (unless there is a contraindication to it) is likely more important than the finer details of the risk assessment model.

        PROTOCOLS AND ORDER SETS MUST REACH THE GREAT MAJORITY OF PATIENTS

        Protocols and order sets that sit on the shelf do not benefit patients. An order set that is used for one‐half of the targeted population has no chance of promoting excellent adherence to a protocol, and protocols/order sets must be widely adapted to be effective.13 Institutional mandates for the use of preprinted (or computerized) orders can be a very effective strategy. If the order set is constructed properly, it is easy to use and can actually save clinician time, thereby promoting widespread use, in some cases even without such a mandate. The SHM VTE Prevention Collaborative generally endorses an institution‐wide protocol and order set module that covers a variety of patient populations. A plug and play modular order set design allows the VTE prevention order set to be incorporated into all appropriate admission and transfer orders, and lends itself well to paper or computerized order formats.

        LAYER ON ADDITIONAL INTERVENTIONS TO ENHANCE THE POWER OF THE PROTOCOL

        Skillful introduction of a good order set that reaches most patients has often yielded observed VTE prophylaxis rates of 75% to 80% in the SHM VTE Prevention Collaborative. To reach higher levels, a multifaceted approach using a variety of techniques has been an effective strategy in the literature24, 6, 7, 10, 13, 15 and in the Collaborative. Educational programs alone,4, 16, 17 while not generally sufficient to bring about reliable VTE prophylaxis, remain an important intervention that can foster a more enthusiastic and appropriate use of order sets and protocols. Periodic audit and feedback and computerized decision support can also be very effective,3, 1822 particularly when there is an institutional protocol to hold up as the defining standard for adequate prophylaxis. We favor a method that involves real‐time identification of outliers (i.e., patients without prophylaxis who have some VTE risk and no obvious contraindication to prophylaxis). This identification can be done manually, but automated reports are generally feasible and effective. A simple templated note or page from a nurse or pharmacist to the provider of an outlier patient can bolster VTE prevention rates to well over 95%.5 Fatigue from alerts is minimized if this strategy is deployed after substantial improvement in VTE prophylaxis rates has been achieved via a well‐implemented and uniformly‐utilized order set. Trending and discussing cases of hospital‐acquired VTE can also motivate medical staff and reduce resistance to standardization.2, 3

        THE FOUNDATION FOR IMPROVEMENT MUST BE IN PLACE

        To explain why they did not implement educational programs, guidelines, or provide feedback to providers on their performance, the authors cite a lack of resources common to community medical centers. Yet, they were able to achieve the most resource‐intensive and challenging component of a VTE prevention effort, data collection and analysis. While resources for quality improvement are indeed insufficient in many academic and community hospitals, suboptimal levels of improvement tend to reflect, as in this study, fundamental failures in approach or execution. In this case, the order set design and implementation issues outlined above do not require extensive resources. Moreover, the foundation for effective improvement must be in place to address these issues effectively. This foundation includes administrative buy‐in that VTE prevention is an institutional priority, a commitment to support standardization (even in the face of occasional medical staff resistance), and a willingness to examine and redesign processes.13 It is unclear whether the administration was convinced that the effort should be a priority or whether this improvement team reported results through appropriate medical staff committees. The key point, of course, is that a culture of shared purpose, cooperation, and high expectations between the medical staff and the administration is more important than extensive resources. The right foundational elements put most improvement resources within the grasp of most medical centers.

        The authors present work that is praiseworthy in many respects, but their suboptimal levels of improvement should serve as a cautionary tale rather than a model for other centers. Core improvement principles are of key importance. A mere prompt to order VTE prophylaxis within voluntarily‐used order sets, without supporting strategies to enhance VTE prophylaxis, is a recipe for mediocre improvement. Far superior results have been demonstrated in both community and academic centers, even in environments with limited resources. A multifaceted approach, including order sets that promote VTE prophylaxis and provide decision support for the majority of the targeted population, proactive intervention applied to outliers who are not on appropriate prophylaxis, educational programs, and an institutional commitment to standardization, are the ingredients for excellent results.

        Excellence is best described as doing the right things rightselecting the most important things to be done and then accomplishing them 100% correctly.

        In this issue of JHM, O'Connor et al.1 examine the impact of paper‐based admission order sets on several quality measures relevant to medical inpatients in a large community medical center, focusing the most attention on the use of venous thromboembolism (VTE) prophylaxis. Randomly selected medical admissions from 4 time periods were examined by chart review for use of the order set, and for the use of VTE prophylaxis (defined as either unfractionated heparin [UFH] 5,000 units subcutaneous [sc] twice daily [BID] or compression stockings). VTE prophylaxis was ordered in an abysmally low 10.9% of inpatients in the baseline period. In spite of the limitations inherent in a before and after study design and a failure to assess the appropriateness of VTE prophylaxis, VTE rates, or side effects, the authors present convincing evidence that improvement in VTE prophylaxis did occur. However, it was a very limited and suboptimal improvement. By the fourteenth and fifteenth month after order set introduction, only about one‐half of admissions used the order set, and even when the order set was used, only 44% had VTE prophylaxis ordered. The percent of patient‐days with pharmacologic VTE prophylaxis in medical inpatients improved after order set implementation, but remained very low, at 26%. Therefore, the key lessons to be learned from this study are likely derived from what went wrong, rather than what went right.

        Why did VTE prophylaxis rates stay so low in the face of a multiyear effort? An examination of more successful efforts,25 recent reviews in the VTE and quality improvement literature,610 and the Society of Hospital Medicine VTE Prevention Collaborative experience reveals several principles for effective improvement that were not followed in this study.

        A VTE PREVENTION ORDER SET SHOULD PROVIDE DECISION SUPPORT (NOT JUST A PROMPT)

        A simple prompt for mechanical prophylaxis or for UFH 5,000 units sc BID was embedded into a voluntary order set in this effort. Mechanical prophylaxis, pharmacologic prophylaxis, and no prophylaxis were treated as equal options, even though most medical inpatients have significant VTE risk factors,11, 12 and in spite of strong evidence‐based recommendations12 relegating mechanical prophylaxis to an adjunctive role for pharmacologic prophylaxis (unless there are contraindications to pharmacologic prophylaxis). The authors point out that the way order sets are structured or introduced is important to ensure they achieve the desired changes in practice. I could not agree more, but, unfortunately, the structure of their order set only secured the desired change in 44% of patients, even if you count compression stockings as adequate prophylaxis. This relatively poor result should have sparked a redesign of the VTE prevention component of the order set.

        A more effective order set would reflect an institutional VTE prevention protocol.6, 7, 9, 13 A VTE prevention protocol consists of a standardized VTE risk assessment and contraindications to pharmacologic or heparin prophylaxis, linked to a menu of appropriate VTE prophylaxis options for each level of risk.13 The best protocols provide decision support at the point of care,9, 13 and yet preserve the ability to customize care for special patient situations or circumstances.

        Ease of use issues and the lack of prospectively validated models have hindered widespread adoption of VTE risk assessment protocols (especially the point‐based models),14 but a simpler and more streamlined approach has been validated by the UCSD Medical Center experience,2 and by the general success of similar protocols in diverse medical centers taking part in the Society of Hospital Medicine (SHM) VTE Prevention Collaborative. This simpler method generally places patients into 1 of 3 levels of VTE risk, can be completed in seconds, and has excellent interobserver agreement. Reinforcing the expectation that pharmacologic prophylaxis is desirable for most ill inpatients (unless there is a contraindication to it) is likely more important than the finer details of the risk assessment model.

        PROTOCOLS AND ORDER SETS MUST REACH THE GREAT MAJORITY OF PATIENTS

        Protocols and order sets that sit on the shelf do not benefit patients. An order set that is used for one‐half of the targeted population has no chance of promoting excellent adherence to a protocol, and protocols/order sets must be widely adapted to be effective.13 Institutional mandates for the use of preprinted (or computerized) orders can be a very effective strategy. If the order set is constructed properly, it is easy to use and can actually save clinician time, thereby promoting widespread use, in some cases even without such a mandate. The SHM VTE Prevention Collaborative generally endorses an institution‐wide protocol and order set module that covers a variety of patient populations. A plug and play modular order set design allows the VTE prevention order set to be incorporated into all appropriate admission and transfer orders, and lends itself well to paper or computerized order formats.

        LAYER ON ADDITIONAL INTERVENTIONS TO ENHANCE THE POWER OF THE PROTOCOL

        Skillful introduction of a good order set that reaches most patients has often yielded observed VTE prophylaxis rates of 75% to 80% in the SHM VTE Prevention Collaborative. To reach higher levels, a multifaceted approach using a variety of techniques has been an effective strategy in the literature24, 6, 7, 10, 13, 15 and in the Collaborative. Educational programs alone,4, 16, 17 while not generally sufficient to bring about reliable VTE prophylaxis, remain an important intervention that can foster a more enthusiastic and appropriate use of order sets and protocols. Periodic audit and feedback and computerized decision support can also be very effective,3, 1822 particularly when there is an institutional protocol to hold up as the defining standard for adequate prophylaxis. We favor a method that involves real‐time identification of outliers (i.e., patients without prophylaxis who have some VTE risk and no obvious contraindication to prophylaxis). This identification can be done manually, but automated reports are generally feasible and effective. A simple templated note or page from a nurse or pharmacist to the provider of an outlier patient can bolster VTE prevention rates to well over 95%.5 Fatigue from alerts is minimized if this strategy is deployed after substantial improvement in VTE prophylaxis rates has been achieved via a well‐implemented and uniformly‐utilized order set. Trending and discussing cases of hospital‐acquired VTE can also motivate medical staff and reduce resistance to standardization.2, 3

        THE FOUNDATION FOR IMPROVEMENT MUST BE IN PLACE

        To explain why they did not implement educational programs, guidelines, or provide feedback to providers on their performance, the authors cite a lack of resources common to community medical centers. Yet, they were able to achieve the most resource‐intensive and challenging component of a VTE prevention effort, data collection and analysis. While resources for quality improvement are indeed insufficient in many academic and community hospitals, suboptimal levels of improvement tend to reflect, as in this study, fundamental failures in approach or execution. In this case, the order set design and implementation issues outlined above do not require extensive resources. Moreover, the foundation for effective improvement must be in place to address these issues effectively. This foundation includes administrative buy‐in that VTE prevention is an institutional priority, a commitment to support standardization (even in the face of occasional medical staff resistance), and a willingness to examine and redesign processes.13 It is unclear whether the administration was convinced that the effort should be a priority or whether this improvement team reported results through appropriate medical staff committees. The key point, of course, is that a culture of shared purpose, cooperation, and high expectations between the medical staff and the administration is more important than extensive resources. The right foundational elements put most improvement resources within the grasp of most medical centers.

        The authors present work that is praiseworthy in many respects, but their suboptimal levels of improvement should serve as a cautionary tale rather than a model for other centers. Core improvement principles are of key importance. A mere prompt to order VTE prophylaxis within voluntarily‐used order sets, without supporting strategies to enhance VTE prophylaxis, is a recipe for mediocre improvement. Far superior results have been demonstrated in both community and academic centers, even in environments with limited resources. A multifaceted approach, including order sets that promote VTE prophylaxis and provide decision support for the majority of the targeted population, proactive intervention applied to outliers who are not on appropriate prophylaxis, educational programs, and an institutional commitment to standardization, are the ingredients for excellent results.

        References
        1. O'Connor C,Adhikari N,DeCaire K,Friedrich J.Medical admission order sets to improve deep vein thrombosis prophylaxis rates and other outcomes.J Hosp Med.2009;4(2):8189.
        2. Maynard G,Jenkins I,Stone S, et al.Optimizing prevention of hospital‐acquired venous thromboembolism: prospective validation of a VTE risk assessment model and protocol. 2008 Abstracts: Research, Innovations, Clinical Vignettes Competition. 2008 National Meeting, Society of Hospital Medicine, April 3–5, 2008, San Diego, CA. Abstract 52, p29. Available at http://www.hospitalmedicine.org/Paperless2008/PDFs/Additional_Info/SHM08_Abstracts.pdf. Accessed November2008.
        3. Bullock‐Palmer RP,Weiss S,Hyman C.Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital.J Hosp Med.2008;3(2):148155.
        4. Cohn SL,Adekile A,Mahabir V.Improved use of thromboprophylaxis for deep vein thrombosis following an educational intervention.J Hosp Med.2006;1:331338.
        5. Stein J,Chernetsky Tejedor S,Shabbir H,O'Malley E.Situational awareness improves prevalence of VTE prophylaxis on multiple nursing units.J Hosp Med.2008;3(S1):41.
        6. Schunemann HJ,Cook D,Grimshaw J, et al.Antithrombotic and thrombolytic therapy: from evidence to application: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy.Chest.2004;126:688S696S.
        7. Tooher R,Middleton P,Pham C, et al.A systematic review of strategies to improve prophylaxis for venous thromboembolism in hospitals.Ann Surg.2005;241:397415.
        8. McMullin J,Cook D,Griffith L, et al.Minimizing errors of omission: behavioural reinforcement of heparin to avert venous emboli: the BEHAVE Study.Crit Care Med.2006;34:694699.
        9. Shojania KG,McDonald KM,Wachter RM,Owens DKClosing the Quality Gap: a Critical Analysis of Quality Improvement Strategies.Rockville, MD:Agency for Healthcare Research and Quality;2004.
        10. Oxman AD,Thomson MA,Davis DA,Haynes RB.No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.CMAJ.1995;153:14231431.
        11. Kahn SR,Panju A,Geerts W, et al.Multicenter evaluation of the use of venous thromboembolism prophylaxis in acutely ill medical patients in Canada.Thromb Res.2007;119:145155.
        12. Geerts WH,Bergqvist D,Pineo GF, et al.Prevention of venous thromboembolism: ACCP evidence‐based clinical practice guidelines. 8th ed.Chest.2008;133(6 Suppl):381S453S.
        13. Maynard G,Stein J.Preventing hospital‐acquired venous thromboembolism—a guide for effective quality improvement. Society of Hospital Medicine, VTE Quality Improvement Resource Room. Available at http://www.hospitalmedicine.org/ResourceRoomRedesign/RR_VTE/VTE_Home.cfm. Accessed November 14,2008.
        14. Caprini JA,Arcelus JI,Hasty JH, et al.Clinical assessment of venous thromboembolic risk in surgical patients.Semin Thromb Haemost.1991;17(Suppl 3):304312.
        15. Kakkar AK,Davidson BL,Haas SK.Compliance with recommended prophylaxis for venous thromboembolism: improving the use and rate of uptake of clinical practice guidelines.J Thromb Haemost.2004;2:221227.
        16. Levi D,Kupfter Y,Seneviratne C,Tessler S.Computerized order entry sets and intensive education improve the rate of prophylaxis for deep vein thrombophlebitis.Chest.1998;114(Suppl):280S.
        17. Dobesh PP,Stacy ZA.Effect of a clinical pharmacy education program on improvement in the quantity and quality of venous thromboembolism prophylaxis for medically ill patients.J Manag Care Pharm.2005;11:755762.
        18. Timmons S,O'Callaghan C,O'Connor M, et al.Audit guided action can improve the compliance with thromboembolic prophylaxis prescribing to hospitalized, acutely ill older adults.J Thromb Haemost.2005;3:21122113.
        19. Mosen D,Elliott CG,Egger MJ, et al.The effect of a computerized reminder system on the prevention of postoperative venous thromboembolism.Chest.2004;125:16351641.
        20. Kucher N,Koo S,Quiroz R, et al.Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969977.
        21. Durieux P,Nizard R,Ravaud P,Mounier N,Lepage E.A clinical decision support system for prevention of venous thromboembolism.JAMA.2000;283:28162821.
        22. Dexter PR,Perkins S,Overhage JM,Maharry K,Kohler RB,McDonald CJ.A computerized reminder system to increase the use of preventive care for hospitalized patients.N Engl J Med.2001;345:965970.
        References
        1. O'Connor C,Adhikari N,DeCaire K,Friedrich J.Medical admission order sets to improve deep vein thrombosis prophylaxis rates and other outcomes.J Hosp Med.2009;4(2):8189.
        2. Maynard G,Jenkins I,Stone S, et al.Optimizing prevention of hospital‐acquired venous thromboembolism: prospective validation of a VTE risk assessment model and protocol. 2008 Abstracts: Research, Innovations, Clinical Vignettes Competition. 2008 National Meeting, Society of Hospital Medicine, April 3–5, 2008, San Diego, CA. Abstract 52, p29. Available at http://www.hospitalmedicine.org/Paperless2008/PDFs/Additional_Info/SHM08_Abstracts.pdf. Accessed November2008.
        3. Bullock‐Palmer RP,Weiss S,Hyman C.Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital.J Hosp Med.2008;3(2):148155.
        4. Cohn SL,Adekile A,Mahabir V.Improved use of thromboprophylaxis for deep vein thrombosis following an educational intervention.J Hosp Med.2006;1:331338.
        5. Stein J,Chernetsky Tejedor S,Shabbir H,O'Malley E.Situational awareness improves prevalence of VTE prophylaxis on multiple nursing units.J Hosp Med.2008;3(S1):41.
        6. Schunemann HJ,Cook D,Grimshaw J, et al.Antithrombotic and thrombolytic therapy: from evidence to application: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy.Chest.2004;126:688S696S.
        7. Tooher R,Middleton P,Pham C, et al.A systematic review of strategies to improve prophylaxis for venous thromboembolism in hospitals.Ann Surg.2005;241:397415.
        8. McMullin J,Cook D,Griffith L, et al.Minimizing errors of omission: behavioural reinforcement of heparin to avert venous emboli: the BEHAVE Study.Crit Care Med.2006;34:694699.
        9. Shojania KG,McDonald KM,Wachter RM,Owens DKClosing the Quality Gap: a Critical Analysis of Quality Improvement Strategies.Rockville, MD:Agency for Healthcare Research and Quality;2004.
        10. Oxman AD,Thomson MA,Davis DA,Haynes RB.No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.CMAJ.1995;153:14231431.
        11. Kahn SR,Panju A,Geerts W, et al.Multicenter evaluation of the use of venous thromboembolism prophylaxis in acutely ill medical patients in Canada.Thromb Res.2007;119:145155.
        12. Geerts WH,Bergqvist D,Pineo GF, et al.Prevention of venous thromboembolism: ACCP evidence‐based clinical practice guidelines. 8th ed.Chest.2008;133(6 Suppl):381S453S.
        13. Maynard G,Stein J.Preventing hospital‐acquired venous thromboembolism—a guide for effective quality improvement. Society of Hospital Medicine, VTE Quality Improvement Resource Room. Available at http://www.hospitalmedicine.org/ResourceRoomRedesign/RR_VTE/VTE_Home.cfm. Accessed November 14,2008.
        14. Caprini JA,Arcelus JI,Hasty JH, et al.Clinical assessment of venous thromboembolic risk in surgical patients.Semin Thromb Haemost.1991;17(Suppl 3):304312.
        15. Kakkar AK,Davidson BL,Haas SK.Compliance with recommended prophylaxis for venous thromboembolism: improving the use and rate of uptake of clinical practice guidelines.J Thromb Haemost.2004;2:221227.
        16. Levi D,Kupfter Y,Seneviratne C,Tessler S.Computerized order entry sets and intensive education improve the rate of prophylaxis for deep vein thrombophlebitis.Chest.1998;114(Suppl):280S.
        17. Dobesh PP,Stacy ZA.Effect of a clinical pharmacy education program on improvement in the quantity and quality of venous thromboembolism prophylaxis for medically ill patients.J Manag Care Pharm.2005;11:755762.
        18. Timmons S,O'Callaghan C,O'Connor M, et al.Audit guided action can improve the compliance with thromboembolic prophylaxis prescribing to hospitalized, acutely ill older adults.J Thromb Haemost.2005;3:21122113.
        19. Mosen D,Elliott CG,Egger MJ, et al.The effect of a computerized reminder system on the prevention of postoperative venous thromboembolism.Chest.2004;125:16351641.
        20. Kucher N,Koo S,Quiroz R, et al.Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969977.
        21. Durieux P,Nizard R,Ravaud P,Mounier N,Lepage E.A clinical decision support system for prevention of venous thromboembolism.JAMA.2000;283:28162821.
        22. Dexter PR,Perkins S,Overhage JM,Maharry K,Kohler RB,McDonald CJ.A computerized reminder system to increase the use of preventive care for hospitalized patients.N Engl J Med.2001;345:965970.
        Issue
        Journal of Hospital Medicine - 4(2)
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        Journal of Hospital Medicine - 4(2)
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        77-80
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        Medical admission order sets to improve deep vein thrombosis prevention: A model for others or a prescription for mediocrity?
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        Medical admission order sets to improve deep vein thrombosis prevention: A model for others or a prescription for mediocrity?
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        Utility of Blood Cultures in Pneumonia

        Article Type
        Changed
        Mon, 01/02/2017 - 19:34
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        Blood cultures for community‐acquired pneumonia: Are they worthy of two quality measures? A systematic review

        Blood cultures (BCs) have long been a mainstay of the diagnostic evaluation of patients hospitalized with community‐acquired pneumonia (CAP). They have been strongly recommended by professional societies13 and are often expected by admitting physicians. A large retrospective study of Medicare patients with pneumonia found that obtaining BCs is associated with lower mortality.4 In 2002, when the National Hospital Quality Measures (NHQM) were introduced, BCs were included as a quality measure for pneumonia.5, 6

        However, there is uncertainty about the actual utility of BCs in CAP. In large studies they are true‐positive in only 7 to 11% of cases and false‐positive in 5%,2, 7 and whether they affect clinical management has been strongly questioned.810 Their impact may be limited by slow results, low frequency of bacterial resistance to the empiric antibiotic regimen, and reluctance of physicians to narrow antibiotic coverage.9, 11 Recent updates to professional society guidelines no longer recommend BCs in all admitted CAP patients.12

        To evaluate the clinical utility of BCs and the appropriateness of pnemonia quality measures based on BCs, we performed a systematic review of the literature to determine the effect of BCs on the management of adults with CAP requiring hospitalization.

        PATIENTS AND METHODS

        Data Sources and Searches

        We searched the English‐language literature via MEDLINE (1966 through September 2007), MEDLINE‐In Process, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, and ACP Journal Club. Within each of these databases we used keywords and exploded Medical Subject Headings (MeSH) to produce the following search strategy: blood culture(s) (keyword), bacteriological techniques (MeSH), blood [microbiology] (MeSH), bacteremia [microbiology or drug therapy] (MeSH), or diagnostic tests, routine (MeSH) combined with pneumonia (keyword), pneumonia (MeSH), lower respiratory tract infection(s) (keyword), or community‐acquired infections (MeSH). To maximize capture of BC or bacteremia studies with subgroups of CAP patients we added the following search strategy: explode microbiological techniques [utilization] (MeSH), explode blood specimen collection [utilization] (MeSH), or focus bacteremia [drug therapy] (MeSH). We reviewed the reference lists of all included studies as well as those of important background articles. Finally, we asked experts to evaluate the completeness of our list.

        Study Selection

        We included studies in which: (1) subjects were adults hospitalized with CAP; (2) BCs were obtained at or near hospital admission; and (3) the effects of BCs on management (change in antibiotic therapy or other effects such as duration of parenteral therapy, length of hospitalization, or level of care) were reported. The first 2 requirements could be satisfied by a subgroup.

        From retrieved citations, relevant abstracts were reviewed, and studies with any potential to meet inclusion criteria were chosen for full‐text review. Two authors (N.A., R.S.) independently analyzed each full‐text article to determine inclusion for data analysis. A third author (J.T.) analyzed all included and narrowly excluded articles to confirm the final list of included studies. Disagreements were resolved by discussion.

        Data Extraction

        For the included studies, 2 authors (N.A., K.A.) independently abstracted the following data using a standardized collection instrument: study design and setting, inclusion and exclusion criteria, number of hospitalized CAP patients in whom BCs were obtained, empiric antibiotic regimens, number of true‐positive and false‐positive BCs, bacteria isolated in true‐positive BCs, BC‐directed antibiotic narrowing, BC‐directed antibiotic broadening ultimately associated with a resistant organism, and any other management effects reported. Narrowing refers to coverage of fewer organisms, while broadening refers to coverage of a larger or different spectrum of organisms.

        If a study included patients not meeting our selection criteria, our analysis was limited to the subset of patients meeting criteria. We also analyzed each study to determine whether a subgroup of severely ill patients was reported separately and whether such a group benefited from BCs. The 2 authors independently repeated all data abstraction to confirm accuracy. We attempted to contact authors for clarification when needed.

        Data Synthesis

        Data were synthesized by compilation of characteristic summary tables. In the primary analysis, the proportion of positive BCs (both true and false) and the frequency of BC‐directed changes in antimicrobial therapy (narrowing, or broadening ultimately associated with a resistant organism) were determined and reported for each study and then described as an aggregate range. This compilation required studies to provide a particular denominatorthe number of patients in whom BCs were performed. If a study did not do so, it was described separately in the secondary analysis, where we also assessed the cost of BCs as well as the impact of BCs in critically ill patients and on outcomes other than antibiotic change. Heterogeneity of subject inclusion and exclusion criteria and empiric antibiotic use were summarized qualitatively. Two authors (N.A., R.S.) assessed each study's quality.

        DATA SYNTHESIS

        Search Results

        Our electronic database search yielded 3236 citations. From this list and the supplementary search of references, we reviewed 607 abstracts; of these, we selected 73 articles for full‐text review, and 15 were included in the final analysis (Figure 1). One study was narrowly excluded because it largely included CAP patients that had already been admitted to the hospital and failed an empiric antibiotic trial before BCs were obtained.13

        Figure 1
        Study selection process.

        Study Characteristics

        Fifteen studies with a total of 3898 patients evaluated BC‐directed management changes in adults admitted with CAP.11, 1427 However, 2 of these, involving only patients with bacteremic pneumococcal CAP, by design could not report the number of patients that had BCs done; thus they were not included in the primary analysis.16, 25

        The 13 studies amenable to the primary analysis (Table 1) all had an observational cohort design; 6 were prospective11, 18, 20, 24, 26, 27 and 7 were retrospective.14, 15, 17, 19, 2123 Sample size varied from 52 to 760 patients. Settings included university and community hospitals in the U.S. and 4 other countries, with patient enrollment spanning the years 19882003 (publication dates 19912007).

        Studies of Utility of Blood Cultures in CAP
        Study Author, Year, Design, Setting Inclusion Criteria Exclusion Criteria CAP Patients with BCs, n*; True‐Positive BCs, n (%); False‐Positive BCs, n (%) BCs Directed Antibiotic Narrowing, n (%) BCs Directed Antibiotic Broadening and Organism was Resistant, n (%) Comments
        • Abbreviations: ATS, American Thoracic Society; BC(s), blood culture(s); CAP, community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; CXR, chest x‐ray; ED, emergency department; HCAP, health care‐associated pneumonia (nursing home resident, recent hospitalization); HIV, human immunodeficiency virus; IC, immunocompromised; ICD‐9, International Classification of Diseases, 9th version; IDDM, insulin‐dependent diabetes mellitus; IVDU, intravenous drug user; PNA, pneumonia; PSI, pneumonia severity index; S. pneumo, S. pneumoniae; abx, antibiotic; dx, diagnosis; pt(s), patient(s); res, resistant; sxm(s), symptom(s).

        • n in the column headings always refers to a number of patients.

        • For brevity we use this abbreviation when a study excluded patients deemed immunocompromised and/or excluded patients with HIV, sickle cell disease, or those receiving immunosuppressive therapy.

        • Cost figures followed by (US) were originally reported in a non‐U.S. currency. We converted to US dollars using the currency exchange rate at the time of the study's publication. If the study included nonpneumonia patients, we calculated and reported cost per antibiotic change for the subset of pneumonia patients only.

        Benenson et al.,14 2007; retrospective, U.S. suburban ED ICD‐9 dx and discharge dx of PNA None n = 684; 23 (3.4); 54 (7.9) 3 (0.4) 0 (0) 11% of pts with ED dx of PNA not eligible due to different dx at discharge; 25% from nursing homes, 18% recently hospitalized, 14% immunocompromised; Abxs narrowed in 3/21 eligible pts
        Ramanujamand Rathlev,22 2006; retrospective; U.S. urban ED, ICD‐9, and discharge dx of PNA, and ED BCs before abxs IC, active cancer, chronic renal failure, hospitalized last 1 week, nursing home resident, aspiration n = 289; 13 (4.5%); 13 (4.5%) 1 (0.3%) 0 (0%) 532 pts screened; 3% not eligible due to different dx at discharge; of eligible pts, 9% excluded due to HCAP and 31% excluded due to other risk factors; Abxs were narrowed in 1/10 eligible pts; Cost: $8,000 for the 1 pt with abx change
        Mountain et al.,21 2006; retrospective, Australian suburban All pts who had BCs done in the ED during a 2‐month period (PNA pts were a subgroup) None n = 52; Not reported; Not reported 1 (1.9) 0 (0) 52/218 study pts had clinical PNA. Overall BCs true‐positive in 6.4%, false‐positive in 7.3%; frequencies for PNA pts not reported separately; Reason for abx change (ceftriaxone to ciprofloxacin) not reported, but thought not to be associated with resistant organism (personal communication); Cost: $1,950 (U.S.) per BC that altered treatment
        Kennedy et al.,20 2005; prospective, U.S urban Clinical and radiographic PNA and BCs in ED or within 3 hours of admission None n = 385; 27 (7.0); 6.0% 11 (2.9) 4 (1.0) 23% of pts from nursing homes, 22% admitted to ICU; 3/4 pts whose abxs were broadened due to a resistant organism came from nursing homes; Abxs were narrowed in 11/19 eligible pts; BCs were false‐positive in 25/414 (6%) pts, including 29 pts discharged from the ED
        Corbo et al.,17 2004; retrospective, U.S. urban Primary diagnosis of CAP, positive CXR, and ED BCs before abxs IC, cancer, recent hospitalization, nursing home resident n = 355; 33 (9.3); 37 (10.4) 7 (2.0) 0 (0) 821 pts admitted with CAP; 24% not eligible due to non‐confirmatory CXR; of eligible pts, 22% excluded due to HCAP, 23% excluded due to other risk factors; 6 pts with false‐positive BCs had abx change due to BCs ‐ authors suggest hospitalization prolonged in these cases; Physicians reluctant to narrow abxs per authors
        Campbell et al.,11 2003; prospective, Canadian multiple (19) hospitals Two signs or sxms of PNA and positive CXR IC, shock, direct ICU admission, chronic kidney disease, pregnant or nursing, alcoholism n = 760; 43 (5.7); Not reported 12 (1.6) 2 (0.3) 38% of pts screened with suspected CAP either ineligible or excluded due to risk factors; Abxs were narrowed in 12/35 eligible pts; In one case, BCs grew MRSA resistant to empiric abxs, but abxs had been changed before BC results available; Cost: $1550 (U.S.) per BC leading to abx change
        Waterer and Wunderink,26 2001; prospective; U.S. urban Signs and sxms of PNA, positive CXR, and BCs before abxs IC, hospitalized last 30 days, nursing home residents (if non‐ambulatory) n = 209; 29 (13.9); 9 (4.3) 5 (2.4) 1 (0.5) BCs only changed management in pts in PSI class 4 and 5
        Theerthakarai et al.,24 2001; prospective, U.S. suburban Acute febrile illness with respiratory sxms and a positive CXR IC, cancer, age >65, alcoholism, IVDU, COPD, IDDM, neurologic disease, renal failure, recent abx, severe or complicated PNA n = 74; 0 (0); 0 (0) 0 (0%) 0 (0%) Very strict exclusion criteria: 62% of eligible pts excluded due to risk factors; Authors reported that 28% of included pts could have been treated as outpatients per ATS guidelines
        Sanyal et al.,23 1999; retrospective, U.S. urban Acute lower respiratory tract infection and positive CXR IC, cancer, hospitalized last 12 weeks, IVDU, bronchiectasis, splenectomy, not treated per ATS guidelines n = 174; 19 (10.9); Not reported Not reported 1 (0.6%) BC‐directed antibiotic changes only reported for pts who did not respond to initial abxs, so BC‐directed narrowing could not be determined; The pt whose abxs were broadened was a nursing home resident with severe pneumonia (by ATS criteria)
        Glerant et al.,18 1999; prospective, French suburban Acute septic episode with respiratory sxms and positive CXR IC, ICU admission, hospitalized last 2 weeks, aspiration n = 53; 5 (9.4); 2 (3.8) 0 (0) 0 (0) BCs done during first 48 hours so not clear how many BCs sent after hospital abxs started; 23 pts were on abxs before admission; Cost: $6006 (U.S.), no abx changes
        Kelly,19 1998; retrospective, Australian suburban All pts who had BCs done in the ED over a 9‐ month period (PNA pts were a subgroup) None n = 260; 5%; Not reported 1% 1% 260/1062 study pts had PNA; 14% of all pts discharged; for CAP pts percentage not reported; False‐positive rate 3.8% for all pts, but not reported separately for PNA pts; 1% of PNA pts had abx change due to BCs; type of change not reported, hence reporting of 1% in outcome columns; Cost: $4800 (U.S.) per abx change
        Chalasani et al.,15 1995; retrospective; U.S. urban Dx of PNA, respiratory sxms, positive CXR, and 2 sets of BCs before abxs IC, cancer, hospitalized last 2 weeks, nursing home resident n = 517; 34 (6.6); 25 (4.8) 7 (1.4) 0 (0) 1250 pts screened with discharge dx of PNA; 59% either ineligible or excluded due to risk factors (authors did not report number ineligible due to the BC requirement); In one case, BCs grew H. influenzae resistant to empiric abxs, but sputum cultures drove the abx change; Cost: $4875 per abx change
        Woodhead et al.,27 1991; prospective, British urban (2 hospitals) Clinical features of CAP and positive CXR IC, cancer, admitted to geriatric or communicable disease ward n = 86; 9 (10.5%); Not reported 2 (2.3) 1 (1.2) 8% of pts meeting inclusion and exclusion criteria were later excluded due to different dx at discharge

        Included patients were usually required to have clinical features of pneumonia and a confirmatory chest x‐ray. Treating physicians were required to obtain BCs (either by study or hospital protocol) in only 3 studies14, 22, 24 and in a subgroup of another study;11 otherwise the performance of BCs was left to physician discretion.

        Nine studies excluded patients who were immunocompromised,11, 15, 17, 18, 2224, 26, 27 a label that was often incompletely defined. Otherwise, exclusion criteria were variable. Notably, only 3 studies excluded patients admitted to the intensive care unit (ICU),11, 18, 24 while 6 excluded patients with cancer15, 17, 2224, 27 and 6 excluded either nursing home residents15, 17, 22, 26 or the elderly (de facto exclusion of most nursing home residents).24, 27

        Empiric antibiotic regimens, where reported, were predominantly cephalosporin plus macrolide combinations in 4 studies,17, 2224 fluoroquinolones in 3 studies,11, 14, 26 and penicillin or 1 of its derivatives in 1 study.27

        Concerning the 2 studies not included in the primary analysis, the one by Waterer et al.25 was a retrospective review of all cases of pneumococcal bacteremia (n = 74) associated with an admission diagnosis of CAP (N = 1805) in a US urban hospital over a 3‐year period. The one by Chang et al.16 was a retrospective case‐control study of 288 randomly‐selected, immunocompetent Medicare patients with bacteremic pneumococcal CAP who survived to discharge. They were matched 1:1 with blood and sputum culture‐negative controls to study the rate of fluoroquinolone use at discharge in the 2 groups.

        Study Findings

        Primary Analysis

        As shown in Table 1, BCs were positive for a true pathogen in 0% to 14% of cases. Details of microbiology and empiric antibiotic selection are reported in Table 2. S. pneumoniae was by far the most common pathogen: of the 9 studies that had positive BCs and reported the organisms, S. pneumoniae represented 50% to 91% of the pathogens, with penicillin‐resistance found in 0% to 20%.11, 14, 15, 17, 18, 20, 22, 23, 26 S. aureus was next most common, occurring in 6 studies and growing in 3% to 23% of positive BCs;11, 14, 17, 20, 23, 26 its sensitivity to methicillin was reported in 3 studies, with methicillin‐resistant S. aureus (MRSA) representing 0/3, 3/7, and 1/1 of cases.14, 20, 23 E. coli represented 3% to 11% of pathogens in 6 studies,11, 14, 15, 20, 23, 26 while H. influenzae represented 2% to 15% of pathogens in 7 studies.11, 14, 15, 18, 22, 23, 26

        Empiric Antibiotics and Microbiology
        Study: Author, Year Empiric Antibiotics Given: Frequency, Agent Bacteria Isolated in True‐Positive BCs: n, Organism Organisms in BCs Resistant to Empiric Antibiotics
        • Abbreviations: Grp, group; MRSA, methicillin‐resistant S. aureus; MSSA, methicillin‐sensitive S. aureus; PCN, penicillin; interm, intermediate; res, resistant; Staph, staphylococcus; Strep, streptococcus.

        Benenson et al.,14 2007 Mild to moderate PNA: levofloxacin; If ICU admission: levofloxacin + azithromycin; If HCAP: levofloxacin + clindamycin; If risk for MRSA: added vancomycin; If structural lung disease: added tobramycin 14 S. pneumoniae; 3 S. aureus (all MSSA); 2 Group B Strep; 2 H. influenzae; 1 E. coli; 1 Group A Strep None
        Ramanujam and Rathlev,22 2006 Ceftriaxone + oral azithromycin 11 S. pneumoniae (1 PCN interm res); 2 H. influenzae None
        Mountain et al.,21 2006 Not reported Not reported completely None
        Kennedy et al.,20 2005 Not reported 15 S. pneumoniae (3 PCN res); 7 S. aureus (3 MRSA); 3 E. coli; 1 Coagulase‐negative Staph; 1 Pseudomonas; 1 Proteus; 1 Moraxella; 1 E. faecalis 2 MRSA; 1 MSSA (res to levofloxacin, clindamycin); 1 E. coli (res to levofloxacin)
        Corbo et al.,17 2004 48% ceftriaxone + macrolide; 21% cephalosporin only; 6% quinolone only 30 S. pneumoniae; 2 S. aureus (# MRSA not reported); 1 Staph haemolyticus None
        Campbell et al.,11 2003 55% levofloxacin; 45% antibiotic not reported 30 S. pneumoniae (1 PCN res); 5 S. aureus (total # MRSA not reported); 5 E. coli; 1 H. influenzae; 1 E. faecalis; 1 K. pneumoniae; 1 Enterobacter 1 MRSA (antibiotic changed before BC results available); 1 MSSA (res not reported); 1 S. pneumoniae (PCN res)
        Waterer and Wunderink,26 2001 60% quinolone only; 25% quinolone + other antibiotic(s) 20 S. pneumoniae (3 PCN res); 3 S. viridans; 1 H. influenzae; 1 S. aureus (# MRSA not reported); 1 Enterobacter; 1 E. coli; 1 Group B Strep; 1 Group D Strep; 1 Group G Strep; 1 Acinetobacter 1 Group D Strep (res to levofloxacin)
        Theerthakarai et al.,24 2001 Cephalosporin + macrolide None None
        Sanyal et al.,23 1999 Severe CAP: erythromycin + ceftazidime or ticarcillin/clavulanate; Nonsevere CAP: 76% cefuroxime + erythromycin, 18% cefuroxime only 14 S. pneumoniae (0 PCN res); 2 H. influenzae; 1 S. aureus (MRSA); 1 K. pneumoniae; 1 E. coli 1 MRSA
        Glerant et al.,18 1999 Not reported 4 S. pneumoniae (0 PCN res); 1 H. influenzae None
        Kelly,19 1998 Not reported Not reported Cannot determine
        Chalasani et al.,15 1995 Not reported 29 S. pneumoniae (0 PCN res); 3 H. influenzae; 1 S. pyogenes; 1 E. coli H. influenzae (sputum culture drove the antibiotic change)
        Woodhead et al.,27 1991 78% included penicillin, aminopenicillin, or amoxicillin/clavulanate; 33% included erythromycin; 21% ‐lactam + erythromycin Not reported separately for BCs E. coli (res to erythromycin)
        Chang et al.,16 2005 BC+/Controls: 34%/21%/Quinolones; 86%/88%/ ‐lactam; 1%/1%/Amox/PCN; 38%/37%/ Macrolide 288 S. pneumoniae (only organism, by design) Not reported
        Waterer et al.,25 1999 38% Cephalosporin + macrolide other; 27% Quinolone other 74 S. pneumoniae (only organism, by design); 11 PCN interm res; 4 PCN res 2 S. pneumoniae (both resistant; degree of resistance not specified)

        In the 8 studies that reported false‐positive BCs, the false‐positive rate was 0% to 10%,14, 15, 17, 18, 20, 22, 24, 26 with 5 studies finding comparable false‐positive and true‐positive BC rates15, 17, 20, 22, 24 and 1 study finding a substantially higher frequency of false‐positive than true‐positive BCs (Table 1).14

        BCs led to narrowing of antibiotic coverage in 0% to 3% of cases (Table 1). Four studies reported that physicians narrowed antibiotics when BCs indicated that it was possible to do so, but only in 10%, 14%, 34%, and 58% of eligible cases.11, 14, 20, 22

        BCs led to antibiotic broadening ultimately associated with a resistant organism in 0% to 1% of cases (Table 1). The pathogens were MRSA (3), methicillin‐sensitive S. aureus (2), E. coli (2), S. pneumoniae (1), and Group D Streptococcus (1). Details about these patients' medical histories and demographics were absent or sparse in all but 1 study.20 For several of the above cases it was not explicitly stated that BCs directed the antibiotic changes, though it was usually implied; thus we assumed causation.

        Secondary Analyses

        In the pneumococcal bacteremia study by Waterer et al.,25 BCs altered management in 31 of the 74 cases of pneumococcemia, but in only 2 patients was this associated with antibiotic resistance. Most of the other 29 cases involved narrowing of antibiotics, though switching to penicillin or dropping atypical coverage occurred in only 22% and 37% of eligible patients, respectively. In the study by Chang et al.,16 there was no significant difference in fluoroquinolone use at discharge between the pneumococcemic and culture‐negative groups (the primary endpoint), though there was significantly higher ‐lactam use and lower macrolide use in the pneumococcemic patients at discharge. From the data provided it was not possible to determine how often antibiotic broadening occurred.

        Only 2 of the 15 studies stratified management effects based on severity of illness, and neither specified the proportion of severely ill patients admitted to the ICU. Waterer and Wunderink26 prospectively hypothesized that sicker patients were more likely to benefit from BCs. They found that the 30 patients in pneumonia severity index class 5 were most likely to have a BC‐driven antibiotic change, though in at most 1 of these patients was associated with a resistant organism. Sanyal et al.23 stratified patients by severity based on expert guidelines. They found that 19 of 174patients had severe CAP that did not respond to the initial antibiotic regimen, with 1 having a BC‐driven antibiotic change; this was due to resistance.

        Only 1 study reported an outcome other than antibiotic change, which in this case was duration of parenteral therapy. In the study, 5 of 43 patients with true‐positive BCs remained on intravenous antibiotics for the full course of treatment probably due to bacteremia alone.11

        The direct cost of BCs per BC‐directed antibiotic change (or total cost of BCs if there was no antibiotic change) was reported in 6 studies and, not adjusted for inflation, ranged from $1550 to $8000 (U.S.).11, 15, 18, 19, 21, 22

        Quality of the Studies

        A detailed listing of the strengths and weaknesses of each study is provided in the Appendix. Briefly, all 15 studies included in this review were observational. Most did not prospectively require BCs in all patients admitted with CAP. This could have biased the results in favor of BC utility as physicians presumably order BCs in patients with a higher probability of bacteremia. Conversely, several studies did not explicitly require two sets of BCs or that BCs be done prior to antibiotics, so they may not have revealed the maximum utility of BCs. The 2 studies limited to pneumococcal bacteremia and described in the secondary analysis were inherently biased against BC utility, as pneumococcus is more likely to be antibiotic‐sensitive than other CAP pathogens.

        Eligibility was based only on an emergency department (ED)/admission diagnosis of CAP, a criteria that approximates real world practice, in 3 studies.19, 21, 25 The other studies required either a confirmatory radiograph or a hospital discharge diagnosis of pneumonia. Consequent ED/admission misdiagnosis rates were 3%, 8%, 11%, 24% in the 4 studies that reported them;14, 17, 22, 27 the final diagnoses, when reported, were nearly all noninfections or proximal respiratory tract infections.22, 27

        Five studies included all eligible patients.14, 1921, 25 However, 3 studies excluded 23%, 31%, and 62% of eligible patients based on risk factors for bacteremia or resistant pathogens,17, 22, 24 and the rest did not report the number excluded.

        DISCUSSION

        Summary of Findings

        Our systematic review of the literature finds that BCs rarely alter empiric antibiotic therapy in adults hospitalized with community‐acquired pneumonia. Even when there is a change in treatment it usually is not of the type most likely to impact patient outcome, which is antibiotic broadening ultimately associated with a resistant organism. In the 13 studies that could quantify this effect, it occurred in only 0% to 1% of cases in which BCs were obtained. Antibiotic narrowing occurred in 0% to 3% of cases, with physicians often choosing not to narrow antibiotics when BC results suggested that they could do so.

        Limits on BC Utility

        ‐Lactam‐Resistant Pneumococcus

        In the studies reviewed here 50%‐90% of positive BCs grew pneumococcus, consistent with the 60% to 67% rate reported elsewhere.2, 28, 29 Pneumococci that invade the bloodstream have disproportionately low rates of ‐lactam resistance,30, 31 inherently limiting the utility of BCs for detecting inadequate empiric antibiotic therapy. Though pneumococcal resistance to ‐lactams has risen over the last 2 decades, third‐generation cephalosporins, preferred agents for CAP, are still extremely effective. Even when the organism is by historical standards moderately resistant to them, these cephalosporins at standard doses maintain bactericidal efficacy in the lung,32, 33 and their use in the setting of such resistance is not associated with higher mortality.3437 By newer laboratory standards 97% and 96% of S. pneumoniae isolates in mid‐2003 were sensitive to ceftriaxone and cefotaxime, respectively.38 Thus a major potential benefit of BCsdetecting cephalosporin‐resistant pneumococcusremains a rare occurrence.

        Polymicrobial Infection

        If positive BCs in CAP mostly reveal antibiotic‐sensitive pathogens, one may infer that at least they lead to narrowing of therapy. However, the studies reviewed here reveal that this usually does not happen.

        One explanation for this reluctance to narrow antibiotics is that CAP is often a polymicrobial disease. When rigorous serologic testing is done, multiple pathogens are found in up to 40% of cases.39 The occult copathogen is frequently an intracellular one and thus cannot be detected by BCs. Though the evidence for empirically treating these atypical organisms is mixed,40, 41 expert guidelines recommend doing so,12 and guideline‐concordant antibiotic therapy in CAP is associated with lower mortality.42 Even in bacteremic pneumococcal CAP, monotherapy is associated with higher mortality.4346 Thus, stopping antibiotic coverage of atypical pathogens in response to BCs alone might not always be appropriate.

        Prognosis

        Another rationale given for ordering BCs is that bacteremic pneumonia is a morbid disease so positive BCs may demand prolonged parenteral therapy or extended hospitalization. Although mortality for bacteremic pneumococcal pneumonia (the predominantly studied variety of bacteremic pneumonia) has historically been high at 20%,47, 48 studies that have examined pneumococcal bacteremia as an independent risk factor for death in CAP have yielded mixed results.2 Moreover, it appears that patients with bacteremic pneumococcal pneumonia who reach clinical stability may be safely switched to oral antibiotics.49

        It is not clear that positive BCs in pneumonia (at least in the case of S. pneumoniae) should alter the duration of parenteral therapy or hospitalization, though whether or not such effects occur in clinical practice was largely unaddressed by the studies reviewed here.

        Epidemiology

        One theoretical benefit of BCs is their epidemiologic value. When true‐positive in pneumonia, perhaps more than any other test they identify with great specificity at least 1 of the causative agents. Unfortunately, as discussed above, BCs alone provide an incomplete and skewed picture of the microbiology of CAP. They underestimate atypical organisms, overestimate pneumococcus, and, because bacteremic pneumococcus is more likely to be antibiotic‐susceptible, they underestimate antibiotic resistance.11 Tracking pathogens in bacteremic pneumonia may be useful nonetheless, but perhaps a more accurate method for determining etiologic trends is periodic comprehensive microbiological investigation, including BCs, sputum/bronchial cultures, and serology.

        Costs

        In the studies reviewed here, based on reported costs of $15 to $65 per set of BCs or per patient, BCs cost $1550 to $8000 (U.S.) per BC‐directed antibiotic change. Considering that very few of these antibiotic changes involved broadening associated with a resistant organism, the cost/benefit ratio was quite high. Today BCs may be even more expensive, as U.S. hospitals now often charge over $150 per set of BCs.50, 51

        The cost of false‐positive BCs must also be taken into account. The false‐positive rate in the studies reviewed here was 0% to 10%, similar to that reported elsewhere.7 False‐positive BCs increase hospital length of stay by 3 to 5 days and hospital charges by $4400 to $8800.51, 52

        Limitations of the Review

        Our search strategy was designed to be sensitive and included backup methods such as searching article references and querying experts. Nevertheless, we may have missed studies, especially if there were small eligible subgroups or if determining management effects was not a primary purpose. We chose not to measure instances of antibiotic broadening that were not associated with a resistant organism, though in unusual cases (eg, Pseudomonas bacteremia) this effect of BCs may be useful.

        The methodologies of the included studies were adequate to measure the key outcomes with reasonable validity. Biases were evident, though they occurred both for and against BC utility.

        Eligibility varied across studies, and most investigations excluded immunocompromised or other high‐risk patient groups, which could have biased results against BC utility. However, results of these studies were consistent with those that included all patients with CAP, suggesting the degree of bias was probably small. Still, given this concern, it would be prudent not to generalize the findings of this review to immunocompromised patients. Moreover, although the critically ill and those who today would be classified as having healthcare‐associated pneumonia (HCAP)nursing home residents, the recently hospitalized, and hemodialysis patientswere included in most studies, their numbers were small, and these groups were not analyzed separately; thus, the results might not be generalizable to these populations either. Finally, the reported studies, which enrolled patients through 2003, do not reflect more recent increases in the prevalence of resistant pathogens, such as MRSA, in the community.

        BCs as a Quality Measure

        The adoption of BCs as a quality measure was largely predicated on the widely‐cited study by Meehan et al.,4 which showed an association between BC obtainment and reduced mortality. This study, which associated processes of care with hard outcomes such as mortality, was limited by uncontrolled confounders, including variation in hospital quality.53 A more recent study of pneumonia processes of care found no association between BC collection and mortality.54 Another study often cited to support BC use, by Arbo and Snydman,55 showed that positive BCs were associated with changes in antibiotic therapy, but it included very few pneumonia patients and did not describe results for them separately.

        The inclusion of BC acquisition in 2 quality measures in the NHQM guidelines for pneumonia impacts the clinical practice of hospitals and physicians, which may be rated and reimbursed differentially based on their compliance with such measures. One of the quality measures requires BCs in patients admitted to the ICU. The other requires that ED BCs for pneumonia, if obtained, be drawn before antibiotics are given.6

        The studies we reviewed are not specific to these quality measures, but are relevant to them. With regard to the first measure, all but 3 studies included patients admitted to the ICU and found BCs to be of minimal benefit overall. Our subgroup analysis of severely ill patients was unrevealing. The ICU measure is tentative in its validity, but it is not unreasonable given that these patients have a life‐threatening infection and may be at risk for bacteremia with resistant pathogens.12

        The second measure, though perhaps simply seeking to maximize the potential for BCs to turn positive, depends for its validity on BCs being useful in a large proportion of patients with CAP. Though we cannot exclude the possibility that BCs benefit certain subsets of patients, such as those who are immunocompromised or have HCAP, our findings do not support obtaining BCs in all or even most adults hospitalized with CAP. This conclusion is reflected in the 2007 Infectious Diseases Society of America/American Thoracic Society management guidelines for CAP, which state than BCs are optional except for patients with severe pneumonia, some immunocompromised states, and particular radiographic abnormalities.12

        With such data and guidelines in mind, a physician seeking to minimize treatment delays in a patient with pneumonia may give antibiotics early in the ED course (the basis of another quality measure) without obtaining BCs. If she later determines that the patient is particularly high‐risk for bacteremia or a resistant pathogen, should she be discouraged from ordering BCs? Experts specifically state that BCs, even after antibiotics, are warranted for such a patient.12

        With the scope of medical practice captured in quality measures being so narrow, having 2 measures based on a test with such limited benefit is itself questionable.

        Files
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        14. Benenson RS,Kepner AM,Pyle DN,Cavanaugh S.Selective use of blood cultures in emergency department pneumonia patients.J Emerg Med.2007;33:18.
        15. Chalasani NP,Valdecanas MA,Gopal AK,McGowan JE,Jurado RL.Clinical utility of blood cultures in adult patients with community‐acquired pneumonia without defined underlying risks.Chest.1995;108:932936.
        16. Chang NN,Murray CK,Houck PM,Bratzler DW,Greenway C,Guglielmo BJ.Blood culture and susceptibility results and allergy history do not influence fluoroquinolone use in the treatment of community‐acquired pneumonia.Pharmacotherapy.2005;25:5966.
        17. Corbo J,Friedman B,Bijur P,Gallagher EJ.Limited usefulness of initial blood cultures in community acquired pneumonia.Emerg Med J.2004;21:446448.
        18. Glerant JC,Hellmuth D,Schmit JL,Ducroix JP,Jounieaux V.Utility of blood cultures in community‐acquired pneumonia requiring hospitalization: Influence of antibiotic treatment before admission.Respir Med.1999;93:208212.
        19. Kelly AM.Clinical impact of blood cultures taken in the emergency department.J Accid Emerg Med.1998;15:254256.
        20. Kennedy M,Bates DW,Wright SB,Ruiz R,Wolfe RE,Shapiro NI.Do emergency department blood cultures change practice in patients with pneumonia?Ann Emerg Med.2005;46:393400.
        21. Mountain D,Bailey PM,O'Brien D,Jelinek GA.Blood cultures ordered in the adult emergency department are rarely useful.Eur J Emerg Med.2006;13:7679.
        22. Ramanujam P,Rathlev NK.Blood cultures do not change management in hospitalized patients with community‐acquired pneumonia.Acad Emerg Med.2006;13:740745.
        23. Sanyal S,Smith PR,Saha AC,Gupta S,Berkowitz L,Homel P.Initial microbiologic studies did not affect outcome in adults hospitalized with community‐acquired pneumonia.Am J Respir Crit Care Med.1999;160:346348.
        24. Theerthakarai R,El‐Halees W,Ismail M,Solis RA,Khan MA.Nonvalue of the initial microbiological studies in the management of nonsevere community‐acquired pneumonia.Chest.2001;119:181184.
        25. Waterer GW,Jennings SG,Wunderink RG.The impact of blood cultures on antibiotic therapy in pneumococcal pneumonia.Chest.1999;116:12781281.
        26. Waterer GW,Wunderink RG.The influence of the severity of community‐acquired pneumonia on the usefulness of blood cultures.Respir Med.2001;95:7882.
        27. Woodhead MA,Arrowsmith J,Chamberlain‐Webber R,Wooding S,Williams I.The value of routine microbial investigation in community‐acquired pneumonia.Respir Med.1991;85:313317.
        28. Lim WS,Macfarlane JT,Boswell TC, et al.Study of community acquired pneumonia aetiology (scapa) in adults admitted to hospital: implications for management guidelines.Thorax.2001;56:296301.
        29. Apisarnthanarak A,Mundy LM.Etiology of community‐acquired pneumonia.Clin Chest Med.2005;26:4755.
        30. Imran MN,Leng PH,Yang S,Kurup A,Eng P.Early predictors of mortality in pneumococcal bacteraemia.Ann Acad Med Singapore.2005;34:426431.
        31. Winston LG,Perlman JL,Rose DA,Gerberding JL.Penicillin‐nonsusceptible Streptococcus pneumoniae at San Francisco general hospital.Clin Infect Dis.1999;29:580585.
        32. Craig WA.Pharmacokinetic/pharmacodynamic parameters: Rationale for antibacterial dosing of mice and men.Clin Infect Dis.1998;26:110; quiz 11–12.
        33. Siegel RE.The significance of serum vs tissue levels of antibiotics in the treatment of penicillin‐resistant Streptococcus pneumoniae and community‐acquired pneumonia: are we looking in the wrong place?Chest.1999;116:535538.
        34. Ewig S,Ruiz M,Torres A, et al.Pneumonia acquired in the community through drug‐resistant Streptococcus pneumoniae.Am J Respir Crit Care Med.1999;159:18351842.
        35. Pallares R,Capdevila O,Linares J, et al.The effect of cephalosporin resistance on mortality in adult patients with nonmeningeal systemic pneumococcal infections.Am J Med.2002;113:120126.
        36. Pallares R,Linares J,Vadillo M, et al.Resistance to penicillin and cephalosporin and mortality from severe pneumococcal pneumonia in Barcelona, Spain.N Engl J Med.1995;333:474480.
        37. Yu VL,Chiou CCC,Feldman C, et al.An international prospective study of pneumococcal bacteremia: correlation with in vitro resistance, antibiotics administered, and clinical outcome.Clin Infect Dis.2003;37:230237.
        38. Master RN,Draghi DC,Jones ME,Thornsberry C,Sahm DF,Karlowsky JA.Tracking the implementation of NCCLS m100‐s12 expanded‐spectrum cephalosporin MIC breakpoints for non‐meningeal isolates of Streptococcus pneumoniae by clinical laboratories in the united states during 2002 and 2003.Ann Clin Microbiol Antimicrob.2004;3:1.
        39. Lieberman D,Schlaeffer F,Boldur I, et al.Multiple pathogens in adult patients admitted with community‐acquired pneumonia: a one year prospective study of 346 consecutive patients.Thorax.1996;51:179184.
        40. Oosterheert JJ,Bonten MJM,Hak E,Schneider MME,Hoepelman IM.How good is the evidence for the recommended empirical antimicrobial treatment of patients hospitalized because of community‐acquired pneumonia? A systematic review.J Antimicrob Chemother.2003;52:555563.
        41. Shefet D,Robenshtok E,Paul M,Leibovici L.Empirical atypical coverage for inpatients with community‐acquired pneumonia: systematic review of randomized controlled trials.Arch Intern Med.2005;165:19922000.
        42. Frei CR,Restrepo MI,Mortensen EM,Burgess DS.Impact of guideline‐concordant empiric antibiotic therapy in community‐acquired pneumonia.Am J Med.2006;119:865871.
        43. Baddour LM,Yu VL,Klugman KP, et al.Combination antibiotic therapy lowers mortality among severely ill patients with pneumococcal bacteremia [see comment].Am J Respir Crit Care Med.2004;170:440444.
        44. Martinez JA,Horcajada JP,Almela M, et al.Addition of a macrolide to a beta‐lactam‐based empirical antibiotic regimen is associated with lower in‐hospital mortality for patients with bacteremic pneumococcal pneumonia. [see comment].Clin Infect Dis.2003;36:389395.
        45. Waterer GW,Somes GW,Wunderink RG.Monotherapy may be suboptimal for severe bacteremic pneumococcal pneumonia.Arch Intern Med.2001;161:18371842.
        46. Weiss K,Low DE,Cortes L, et al.Clinical characteristics at initial presentation and impact of dual therapy on the outcome of bacteremic Streptococcus pneumoniae pneumonia in adults.Can Respir J.2004;11:589593.
        47. Austrian R,Gold J.Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia.Arch Intern Med.1964;60:759776.
        48. Fine MJ,Smith MA,Carson CA, et al.Prognosis and outcomes of patients with community‐acquired pneumonia. A meta‐analysis.JAMA.1996;275:134141.
        49. Ramirez JA,Bordon J.Early switch from intravenous to oral antibiotics in hospitalized patients with bacteremic community‐acquired Streptococcus pneumoniae pneumonia.Arch Intern Med.2001;161:848850.
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        Article PDF
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        112-123
        Legacy Keywords
        pneumonia, blood cultures, antibiotics, quality measures
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        Blood cultures (BCs) have long been a mainstay of the diagnostic evaluation of patients hospitalized with community‐acquired pneumonia (CAP). They have been strongly recommended by professional societies13 and are often expected by admitting physicians. A large retrospective study of Medicare patients with pneumonia found that obtaining BCs is associated with lower mortality.4 In 2002, when the National Hospital Quality Measures (NHQM) were introduced, BCs were included as a quality measure for pneumonia.5, 6

        However, there is uncertainty about the actual utility of BCs in CAP. In large studies they are true‐positive in only 7 to 11% of cases and false‐positive in 5%,2, 7 and whether they affect clinical management has been strongly questioned.810 Their impact may be limited by slow results, low frequency of bacterial resistance to the empiric antibiotic regimen, and reluctance of physicians to narrow antibiotic coverage.9, 11 Recent updates to professional society guidelines no longer recommend BCs in all admitted CAP patients.12

        To evaluate the clinical utility of BCs and the appropriateness of pnemonia quality measures based on BCs, we performed a systematic review of the literature to determine the effect of BCs on the management of adults with CAP requiring hospitalization.

        PATIENTS AND METHODS

        Data Sources and Searches

        We searched the English‐language literature via MEDLINE (1966 through September 2007), MEDLINE‐In Process, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, and ACP Journal Club. Within each of these databases we used keywords and exploded Medical Subject Headings (MeSH) to produce the following search strategy: blood culture(s) (keyword), bacteriological techniques (MeSH), blood [microbiology] (MeSH), bacteremia [microbiology or drug therapy] (MeSH), or diagnostic tests, routine (MeSH) combined with pneumonia (keyword), pneumonia (MeSH), lower respiratory tract infection(s) (keyword), or community‐acquired infections (MeSH). To maximize capture of BC or bacteremia studies with subgroups of CAP patients we added the following search strategy: explode microbiological techniques [utilization] (MeSH), explode blood specimen collection [utilization] (MeSH), or focus bacteremia [drug therapy] (MeSH). We reviewed the reference lists of all included studies as well as those of important background articles. Finally, we asked experts to evaluate the completeness of our list.

        Study Selection

        We included studies in which: (1) subjects were adults hospitalized with CAP; (2) BCs were obtained at or near hospital admission; and (3) the effects of BCs on management (change in antibiotic therapy or other effects such as duration of parenteral therapy, length of hospitalization, or level of care) were reported. The first 2 requirements could be satisfied by a subgroup.

        From retrieved citations, relevant abstracts were reviewed, and studies with any potential to meet inclusion criteria were chosen for full‐text review. Two authors (N.A., R.S.) independently analyzed each full‐text article to determine inclusion for data analysis. A third author (J.T.) analyzed all included and narrowly excluded articles to confirm the final list of included studies. Disagreements were resolved by discussion.

        Data Extraction

        For the included studies, 2 authors (N.A., K.A.) independently abstracted the following data using a standardized collection instrument: study design and setting, inclusion and exclusion criteria, number of hospitalized CAP patients in whom BCs were obtained, empiric antibiotic regimens, number of true‐positive and false‐positive BCs, bacteria isolated in true‐positive BCs, BC‐directed antibiotic narrowing, BC‐directed antibiotic broadening ultimately associated with a resistant organism, and any other management effects reported. Narrowing refers to coverage of fewer organisms, while broadening refers to coverage of a larger or different spectrum of organisms.

        If a study included patients not meeting our selection criteria, our analysis was limited to the subset of patients meeting criteria. We also analyzed each study to determine whether a subgroup of severely ill patients was reported separately and whether such a group benefited from BCs. The 2 authors independently repeated all data abstraction to confirm accuracy. We attempted to contact authors for clarification when needed.

        Data Synthesis

        Data were synthesized by compilation of characteristic summary tables. In the primary analysis, the proportion of positive BCs (both true and false) and the frequency of BC‐directed changes in antimicrobial therapy (narrowing, or broadening ultimately associated with a resistant organism) were determined and reported for each study and then described as an aggregate range. This compilation required studies to provide a particular denominatorthe number of patients in whom BCs were performed. If a study did not do so, it was described separately in the secondary analysis, where we also assessed the cost of BCs as well as the impact of BCs in critically ill patients and on outcomes other than antibiotic change. Heterogeneity of subject inclusion and exclusion criteria and empiric antibiotic use were summarized qualitatively. Two authors (N.A., R.S.) assessed each study's quality.

        DATA SYNTHESIS

        Search Results

        Our electronic database search yielded 3236 citations. From this list and the supplementary search of references, we reviewed 607 abstracts; of these, we selected 73 articles for full‐text review, and 15 were included in the final analysis (Figure 1). One study was narrowly excluded because it largely included CAP patients that had already been admitted to the hospital and failed an empiric antibiotic trial before BCs were obtained.13

        Figure 1
        Study selection process.

        Study Characteristics

        Fifteen studies with a total of 3898 patients evaluated BC‐directed management changes in adults admitted with CAP.11, 1427 However, 2 of these, involving only patients with bacteremic pneumococcal CAP, by design could not report the number of patients that had BCs done; thus they were not included in the primary analysis.16, 25

        The 13 studies amenable to the primary analysis (Table 1) all had an observational cohort design; 6 were prospective11, 18, 20, 24, 26, 27 and 7 were retrospective.14, 15, 17, 19, 2123 Sample size varied from 52 to 760 patients. Settings included university and community hospitals in the U.S. and 4 other countries, with patient enrollment spanning the years 19882003 (publication dates 19912007).

        Studies of Utility of Blood Cultures in CAP
        Study Author, Year, Design, Setting Inclusion Criteria Exclusion Criteria CAP Patients with BCs, n*; True‐Positive BCs, n (%); False‐Positive BCs, n (%) BCs Directed Antibiotic Narrowing, n (%) BCs Directed Antibiotic Broadening and Organism was Resistant, n (%) Comments
        • Abbreviations: ATS, American Thoracic Society; BC(s), blood culture(s); CAP, community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; CXR, chest x‐ray; ED, emergency department; HCAP, health care‐associated pneumonia (nursing home resident, recent hospitalization); HIV, human immunodeficiency virus; IC, immunocompromised; ICD‐9, International Classification of Diseases, 9th version; IDDM, insulin‐dependent diabetes mellitus; IVDU, intravenous drug user; PNA, pneumonia; PSI, pneumonia severity index; S. pneumo, S. pneumoniae; abx, antibiotic; dx, diagnosis; pt(s), patient(s); res, resistant; sxm(s), symptom(s).

        • n in the column headings always refers to a number of patients.

        • For brevity we use this abbreviation when a study excluded patients deemed immunocompromised and/or excluded patients with HIV, sickle cell disease, or those receiving immunosuppressive therapy.

        • Cost figures followed by (US) were originally reported in a non‐U.S. currency. We converted to US dollars using the currency exchange rate at the time of the study's publication. If the study included nonpneumonia patients, we calculated and reported cost per antibiotic change for the subset of pneumonia patients only.

        Benenson et al.,14 2007; retrospective, U.S. suburban ED ICD‐9 dx and discharge dx of PNA None n = 684; 23 (3.4); 54 (7.9) 3 (0.4) 0 (0) 11% of pts with ED dx of PNA not eligible due to different dx at discharge; 25% from nursing homes, 18% recently hospitalized, 14% immunocompromised; Abxs narrowed in 3/21 eligible pts
        Ramanujamand Rathlev,22 2006; retrospective; U.S. urban ED, ICD‐9, and discharge dx of PNA, and ED BCs before abxs IC, active cancer, chronic renal failure, hospitalized last 1 week, nursing home resident, aspiration n = 289; 13 (4.5%); 13 (4.5%) 1 (0.3%) 0 (0%) 532 pts screened; 3% not eligible due to different dx at discharge; of eligible pts, 9% excluded due to HCAP and 31% excluded due to other risk factors; Abxs were narrowed in 1/10 eligible pts; Cost: $8,000 for the 1 pt with abx change
        Mountain et al.,21 2006; retrospective, Australian suburban All pts who had BCs done in the ED during a 2‐month period (PNA pts were a subgroup) None n = 52; Not reported; Not reported 1 (1.9) 0 (0) 52/218 study pts had clinical PNA. Overall BCs true‐positive in 6.4%, false‐positive in 7.3%; frequencies for PNA pts not reported separately; Reason for abx change (ceftriaxone to ciprofloxacin) not reported, but thought not to be associated with resistant organism (personal communication); Cost: $1,950 (U.S.) per BC that altered treatment
        Kennedy et al.,20 2005; prospective, U.S urban Clinical and radiographic PNA and BCs in ED or within 3 hours of admission None n = 385; 27 (7.0); 6.0% 11 (2.9) 4 (1.0) 23% of pts from nursing homes, 22% admitted to ICU; 3/4 pts whose abxs were broadened due to a resistant organism came from nursing homes; Abxs were narrowed in 11/19 eligible pts; BCs were false‐positive in 25/414 (6%) pts, including 29 pts discharged from the ED
        Corbo et al.,17 2004; retrospective, U.S. urban Primary diagnosis of CAP, positive CXR, and ED BCs before abxs IC, cancer, recent hospitalization, nursing home resident n = 355; 33 (9.3); 37 (10.4) 7 (2.0) 0 (0) 821 pts admitted with CAP; 24% not eligible due to non‐confirmatory CXR; of eligible pts, 22% excluded due to HCAP, 23% excluded due to other risk factors; 6 pts with false‐positive BCs had abx change due to BCs ‐ authors suggest hospitalization prolonged in these cases; Physicians reluctant to narrow abxs per authors
        Campbell et al.,11 2003; prospective, Canadian multiple (19) hospitals Two signs or sxms of PNA and positive CXR IC, shock, direct ICU admission, chronic kidney disease, pregnant or nursing, alcoholism n = 760; 43 (5.7); Not reported 12 (1.6) 2 (0.3) 38% of pts screened with suspected CAP either ineligible or excluded due to risk factors; Abxs were narrowed in 12/35 eligible pts; In one case, BCs grew MRSA resistant to empiric abxs, but abxs had been changed before BC results available; Cost: $1550 (U.S.) per BC leading to abx change
        Waterer and Wunderink,26 2001; prospective; U.S. urban Signs and sxms of PNA, positive CXR, and BCs before abxs IC, hospitalized last 30 days, nursing home residents (if non‐ambulatory) n = 209; 29 (13.9); 9 (4.3) 5 (2.4) 1 (0.5) BCs only changed management in pts in PSI class 4 and 5
        Theerthakarai et al.,24 2001; prospective, U.S. suburban Acute febrile illness with respiratory sxms and a positive CXR IC, cancer, age >65, alcoholism, IVDU, COPD, IDDM, neurologic disease, renal failure, recent abx, severe or complicated PNA n = 74; 0 (0); 0 (0) 0 (0%) 0 (0%) Very strict exclusion criteria: 62% of eligible pts excluded due to risk factors; Authors reported that 28% of included pts could have been treated as outpatients per ATS guidelines
        Sanyal et al.,23 1999; retrospective, U.S. urban Acute lower respiratory tract infection and positive CXR IC, cancer, hospitalized last 12 weeks, IVDU, bronchiectasis, splenectomy, not treated per ATS guidelines n = 174; 19 (10.9); Not reported Not reported 1 (0.6%) BC‐directed antibiotic changes only reported for pts who did not respond to initial abxs, so BC‐directed narrowing could not be determined; The pt whose abxs were broadened was a nursing home resident with severe pneumonia (by ATS criteria)
        Glerant et al.,18 1999; prospective, French suburban Acute septic episode with respiratory sxms and positive CXR IC, ICU admission, hospitalized last 2 weeks, aspiration n = 53; 5 (9.4); 2 (3.8) 0 (0) 0 (0) BCs done during first 48 hours so not clear how many BCs sent after hospital abxs started; 23 pts were on abxs before admission; Cost: $6006 (U.S.), no abx changes
        Kelly,19 1998; retrospective, Australian suburban All pts who had BCs done in the ED over a 9‐ month period (PNA pts were a subgroup) None n = 260; 5%; Not reported 1% 1% 260/1062 study pts had PNA; 14% of all pts discharged; for CAP pts percentage not reported; False‐positive rate 3.8% for all pts, but not reported separately for PNA pts; 1% of PNA pts had abx change due to BCs; type of change not reported, hence reporting of 1% in outcome columns; Cost: $4800 (U.S.) per abx change
        Chalasani et al.,15 1995; retrospective; U.S. urban Dx of PNA, respiratory sxms, positive CXR, and 2 sets of BCs before abxs IC, cancer, hospitalized last 2 weeks, nursing home resident n = 517; 34 (6.6); 25 (4.8) 7 (1.4) 0 (0) 1250 pts screened with discharge dx of PNA; 59% either ineligible or excluded due to risk factors (authors did not report number ineligible due to the BC requirement); In one case, BCs grew H. influenzae resistant to empiric abxs, but sputum cultures drove the abx change; Cost: $4875 per abx change
        Woodhead et al.,27 1991; prospective, British urban (2 hospitals) Clinical features of CAP and positive CXR IC, cancer, admitted to geriatric or communicable disease ward n = 86; 9 (10.5%); Not reported 2 (2.3) 1 (1.2) 8% of pts meeting inclusion and exclusion criteria were later excluded due to different dx at discharge

        Included patients were usually required to have clinical features of pneumonia and a confirmatory chest x‐ray. Treating physicians were required to obtain BCs (either by study or hospital protocol) in only 3 studies14, 22, 24 and in a subgroup of another study;11 otherwise the performance of BCs was left to physician discretion.

        Nine studies excluded patients who were immunocompromised,11, 15, 17, 18, 2224, 26, 27 a label that was often incompletely defined. Otherwise, exclusion criteria were variable. Notably, only 3 studies excluded patients admitted to the intensive care unit (ICU),11, 18, 24 while 6 excluded patients with cancer15, 17, 2224, 27 and 6 excluded either nursing home residents15, 17, 22, 26 or the elderly (de facto exclusion of most nursing home residents).24, 27

        Empiric antibiotic regimens, where reported, were predominantly cephalosporin plus macrolide combinations in 4 studies,17, 2224 fluoroquinolones in 3 studies,11, 14, 26 and penicillin or 1 of its derivatives in 1 study.27

        Concerning the 2 studies not included in the primary analysis, the one by Waterer et al.25 was a retrospective review of all cases of pneumococcal bacteremia (n = 74) associated with an admission diagnosis of CAP (N = 1805) in a US urban hospital over a 3‐year period. The one by Chang et al.16 was a retrospective case‐control study of 288 randomly‐selected, immunocompetent Medicare patients with bacteremic pneumococcal CAP who survived to discharge. They were matched 1:1 with blood and sputum culture‐negative controls to study the rate of fluoroquinolone use at discharge in the 2 groups.

        Study Findings

        Primary Analysis

        As shown in Table 1, BCs were positive for a true pathogen in 0% to 14% of cases. Details of microbiology and empiric antibiotic selection are reported in Table 2. S. pneumoniae was by far the most common pathogen: of the 9 studies that had positive BCs and reported the organisms, S. pneumoniae represented 50% to 91% of the pathogens, with penicillin‐resistance found in 0% to 20%.11, 14, 15, 17, 18, 20, 22, 23, 26 S. aureus was next most common, occurring in 6 studies and growing in 3% to 23% of positive BCs;11, 14, 17, 20, 23, 26 its sensitivity to methicillin was reported in 3 studies, with methicillin‐resistant S. aureus (MRSA) representing 0/3, 3/7, and 1/1 of cases.14, 20, 23 E. coli represented 3% to 11% of pathogens in 6 studies,11, 14, 15, 20, 23, 26 while H. influenzae represented 2% to 15% of pathogens in 7 studies.11, 14, 15, 18, 22, 23, 26

        Empiric Antibiotics and Microbiology
        Study: Author, Year Empiric Antibiotics Given: Frequency, Agent Bacteria Isolated in True‐Positive BCs: n, Organism Organisms in BCs Resistant to Empiric Antibiotics
        • Abbreviations: Grp, group; MRSA, methicillin‐resistant S. aureus; MSSA, methicillin‐sensitive S. aureus; PCN, penicillin; interm, intermediate; res, resistant; Staph, staphylococcus; Strep, streptococcus.

        Benenson et al.,14 2007 Mild to moderate PNA: levofloxacin; If ICU admission: levofloxacin + azithromycin; If HCAP: levofloxacin + clindamycin; If risk for MRSA: added vancomycin; If structural lung disease: added tobramycin 14 S. pneumoniae; 3 S. aureus (all MSSA); 2 Group B Strep; 2 H. influenzae; 1 E. coli; 1 Group A Strep None
        Ramanujam and Rathlev,22 2006 Ceftriaxone + oral azithromycin 11 S. pneumoniae (1 PCN interm res); 2 H. influenzae None
        Mountain et al.,21 2006 Not reported Not reported completely None
        Kennedy et al.,20 2005 Not reported 15 S. pneumoniae (3 PCN res); 7 S. aureus (3 MRSA); 3 E. coli; 1 Coagulase‐negative Staph; 1 Pseudomonas; 1 Proteus; 1 Moraxella; 1 E. faecalis 2 MRSA; 1 MSSA (res to levofloxacin, clindamycin); 1 E. coli (res to levofloxacin)
        Corbo et al.,17 2004 48% ceftriaxone + macrolide; 21% cephalosporin only; 6% quinolone only 30 S. pneumoniae; 2 S. aureus (# MRSA not reported); 1 Staph haemolyticus None
        Campbell et al.,11 2003 55% levofloxacin; 45% antibiotic not reported 30 S. pneumoniae (1 PCN res); 5 S. aureus (total # MRSA not reported); 5 E. coli; 1 H. influenzae; 1 E. faecalis; 1 K. pneumoniae; 1 Enterobacter 1 MRSA (antibiotic changed before BC results available); 1 MSSA (res not reported); 1 S. pneumoniae (PCN res)
        Waterer and Wunderink,26 2001 60% quinolone only; 25% quinolone + other antibiotic(s) 20 S. pneumoniae (3 PCN res); 3 S. viridans; 1 H. influenzae; 1 S. aureus (# MRSA not reported); 1 Enterobacter; 1 E. coli; 1 Group B Strep; 1 Group D Strep; 1 Group G Strep; 1 Acinetobacter 1 Group D Strep (res to levofloxacin)
        Theerthakarai et al.,24 2001 Cephalosporin + macrolide None None
        Sanyal et al.,23 1999 Severe CAP: erythromycin + ceftazidime or ticarcillin/clavulanate; Nonsevere CAP: 76% cefuroxime + erythromycin, 18% cefuroxime only 14 S. pneumoniae (0 PCN res); 2 H. influenzae; 1 S. aureus (MRSA); 1 K. pneumoniae; 1 E. coli 1 MRSA
        Glerant et al.,18 1999 Not reported 4 S. pneumoniae (0 PCN res); 1 H. influenzae None
        Kelly,19 1998 Not reported Not reported Cannot determine
        Chalasani et al.,15 1995 Not reported 29 S. pneumoniae (0 PCN res); 3 H. influenzae; 1 S. pyogenes; 1 E. coli H. influenzae (sputum culture drove the antibiotic change)
        Woodhead et al.,27 1991 78% included penicillin, aminopenicillin, or amoxicillin/clavulanate; 33% included erythromycin; 21% ‐lactam + erythromycin Not reported separately for BCs E. coli (res to erythromycin)
        Chang et al.,16 2005 BC+/Controls: 34%/21%/Quinolones; 86%/88%/ ‐lactam; 1%/1%/Amox/PCN; 38%/37%/ Macrolide 288 S. pneumoniae (only organism, by design) Not reported
        Waterer et al.,25 1999 38% Cephalosporin + macrolide other; 27% Quinolone other 74 S. pneumoniae (only organism, by design); 11 PCN interm res; 4 PCN res 2 S. pneumoniae (both resistant; degree of resistance not specified)

        In the 8 studies that reported false‐positive BCs, the false‐positive rate was 0% to 10%,14, 15, 17, 18, 20, 22, 24, 26 with 5 studies finding comparable false‐positive and true‐positive BC rates15, 17, 20, 22, 24 and 1 study finding a substantially higher frequency of false‐positive than true‐positive BCs (Table 1).14

        BCs led to narrowing of antibiotic coverage in 0% to 3% of cases (Table 1). Four studies reported that physicians narrowed antibiotics when BCs indicated that it was possible to do so, but only in 10%, 14%, 34%, and 58% of eligible cases.11, 14, 20, 22

        BCs led to antibiotic broadening ultimately associated with a resistant organism in 0% to 1% of cases (Table 1). The pathogens were MRSA (3), methicillin‐sensitive S. aureus (2), E. coli (2), S. pneumoniae (1), and Group D Streptococcus (1). Details about these patients' medical histories and demographics were absent or sparse in all but 1 study.20 For several of the above cases it was not explicitly stated that BCs directed the antibiotic changes, though it was usually implied; thus we assumed causation.

        Secondary Analyses

        In the pneumococcal bacteremia study by Waterer et al.,25 BCs altered management in 31 of the 74 cases of pneumococcemia, but in only 2 patients was this associated with antibiotic resistance. Most of the other 29 cases involved narrowing of antibiotics, though switching to penicillin or dropping atypical coverage occurred in only 22% and 37% of eligible patients, respectively. In the study by Chang et al.,16 there was no significant difference in fluoroquinolone use at discharge between the pneumococcemic and culture‐negative groups (the primary endpoint), though there was significantly higher ‐lactam use and lower macrolide use in the pneumococcemic patients at discharge. From the data provided it was not possible to determine how often antibiotic broadening occurred.

        Only 2 of the 15 studies stratified management effects based on severity of illness, and neither specified the proportion of severely ill patients admitted to the ICU. Waterer and Wunderink26 prospectively hypothesized that sicker patients were more likely to benefit from BCs. They found that the 30 patients in pneumonia severity index class 5 were most likely to have a BC‐driven antibiotic change, though in at most 1 of these patients was associated with a resistant organism. Sanyal et al.23 stratified patients by severity based on expert guidelines. They found that 19 of 174patients had severe CAP that did not respond to the initial antibiotic regimen, with 1 having a BC‐driven antibiotic change; this was due to resistance.

        Only 1 study reported an outcome other than antibiotic change, which in this case was duration of parenteral therapy. In the study, 5 of 43 patients with true‐positive BCs remained on intravenous antibiotics for the full course of treatment probably due to bacteremia alone.11

        The direct cost of BCs per BC‐directed antibiotic change (or total cost of BCs if there was no antibiotic change) was reported in 6 studies and, not adjusted for inflation, ranged from $1550 to $8000 (U.S.).11, 15, 18, 19, 21, 22

        Quality of the Studies

        A detailed listing of the strengths and weaknesses of each study is provided in the Appendix. Briefly, all 15 studies included in this review were observational. Most did not prospectively require BCs in all patients admitted with CAP. This could have biased the results in favor of BC utility as physicians presumably order BCs in patients with a higher probability of bacteremia. Conversely, several studies did not explicitly require two sets of BCs or that BCs be done prior to antibiotics, so they may not have revealed the maximum utility of BCs. The 2 studies limited to pneumococcal bacteremia and described in the secondary analysis were inherently biased against BC utility, as pneumococcus is more likely to be antibiotic‐sensitive than other CAP pathogens.

        Eligibility was based only on an emergency department (ED)/admission diagnosis of CAP, a criteria that approximates real world practice, in 3 studies.19, 21, 25 The other studies required either a confirmatory radiograph or a hospital discharge diagnosis of pneumonia. Consequent ED/admission misdiagnosis rates were 3%, 8%, 11%, 24% in the 4 studies that reported them;14, 17, 22, 27 the final diagnoses, when reported, were nearly all noninfections or proximal respiratory tract infections.22, 27

        Five studies included all eligible patients.14, 1921, 25 However, 3 studies excluded 23%, 31%, and 62% of eligible patients based on risk factors for bacteremia or resistant pathogens,17, 22, 24 and the rest did not report the number excluded.

        DISCUSSION

        Summary of Findings

        Our systematic review of the literature finds that BCs rarely alter empiric antibiotic therapy in adults hospitalized with community‐acquired pneumonia. Even when there is a change in treatment it usually is not of the type most likely to impact patient outcome, which is antibiotic broadening ultimately associated with a resistant organism. In the 13 studies that could quantify this effect, it occurred in only 0% to 1% of cases in which BCs were obtained. Antibiotic narrowing occurred in 0% to 3% of cases, with physicians often choosing not to narrow antibiotics when BC results suggested that they could do so.

        Limits on BC Utility

        ‐Lactam‐Resistant Pneumococcus

        In the studies reviewed here 50%‐90% of positive BCs grew pneumococcus, consistent with the 60% to 67% rate reported elsewhere.2, 28, 29 Pneumococci that invade the bloodstream have disproportionately low rates of ‐lactam resistance,30, 31 inherently limiting the utility of BCs for detecting inadequate empiric antibiotic therapy. Though pneumococcal resistance to ‐lactams has risen over the last 2 decades, third‐generation cephalosporins, preferred agents for CAP, are still extremely effective. Even when the organism is by historical standards moderately resistant to them, these cephalosporins at standard doses maintain bactericidal efficacy in the lung,32, 33 and their use in the setting of such resistance is not associated with higher mortality.3437 By newer laboratory standards 97% and 96% of S. pneumoniae isolates in mid‐2003 were sensitive to ceftriaxone and cefotaxime, respectively.38 Thus a major potential benefit of BCsdetecting cephalosporin‐resistant pneumococcusremains a rare occurrence.

        Polymicrobial Infection

        If positive BCs in CAP mostly reveal antibiotic‐sensitive pathogens, one may infer that at least they lead to narrowing of therapy. However, the studies reviewed here reveal that this usually does not happen.

        One explanation for this reluctance to narrow antibiotics is that CAP is often a polymicrobial disease. When rigorous serologic testing is done, multiple pathogens are found in up to 40% of cases.39 The occult copathogen is frequently an intracellular one and thus cannot be detected by BCs. Though the evidence for empirically treating these atypical organisms is mixed,40, 41 expert guidelines recommend doing so,12 and guideline‐concordant antibiotic therapy in CAP is associated with lower mortality.42 Even in bacteremic pneumococcal CAP, monotherapy is associated with higher mortality.4346 Thus, stopping antibiotic coverage of atypical pathogens in response to BCs alone might not always be appropriate.

        Prognosis

        Another rationale given for ordering BCs is that bacteremic pneumonia is a morbid disease so positive BCs may demand prolonged parenteral therapy or extended hospitalization. Although mortality for bacteremic pneumococcal pneumonia (the predominantly studied variety of bacteremic pneumonia) has historically been high at 20%,47, 48 studies that have examined pneumococcal bacteremia as an independent risk factor for death in CAP have yielded mixed results.2 Moreover, it appears that patients with bacteremic pneumococcal pneumonia who reach clinical stability may be safely switched to oral antibiotics.49

        It is not clear that positive BCs in pneumonia (at least in the case of S. pneumoniae) should alter the duration of parenteral therapy or hospitalization, though whether or not such effects occur in clinical practice was largely unaddressed by the studies reviewed here.

        Epidemiology

        One theoretical benefit of BCs is their epidemiologic value. When true‐positive in pneumonia, perhaps more than any other test they identify with great specificity at least 1 of the causative agents. Unfortunately, as discussed above, BCs alone provide an incomplete and skewed picture of the microbiology of CAP. They underestimate atypical organisms, overestimate pneumococcus, and, because bacteremic pneumococcus is more likely to be antibiotic‐susceptible, they underestimate antibiotic resistance.11 Tracking pathogens in bacteremic pneumonia may be useful nonetheless, but perhaps a more accurate method for determining etiologic trends is periodic comprehensive microbiological investigation, including BCs, sputum/bronchial cultures, and serology.

        Costs

        In the studies reviewed here, based on reported costs of $15 to $65 per set of BCs or per patient, BCs cost $1550 to $8000 (U.S.) per BC‐directed antibiotic change. Considering that very few of these antibiotic changes involved broadening associated with a resistant organism, the cost/benefit ratio was quite high. Today BCs may be even more expensive, as U.S. hospitals now often charge over $150 per set of BCs.50, 51

        The cost of false‐positive BCs must also be taken into account. The false‐positive rate in the studies reviewed here was 0% to 10%, similar to that reported elsewhere.7 False‐positive BCs increase hospital length of stay by 3 to 5 days and hospital charges by $4400 to $8800.51, 52

        Limitations of the Review

        Our search strategy was designed to be sensitive and included backup methods such as searching article references and querying experts. Nevertheless, we may have missed studies, especially if there were small eligible subgroups or if determining management effects was not a primary purpose. We chose not to measure instances of antibiotic broadening that were not associated with a resistant organism, though in unusual cases (eg, Pseudomonas bacteremia) this effect of BCs may be useful.

        The methodologies of the included studies were adequate to measure the key outcomes with reasonable validity. Biases were evident, though they occurred both for and against BC utility.

        Eligibility varied across studies, and most investigations excluded immunocompromised or other high‐risk patient groups, which could have biased results against BC utility. However, results of these studies were consistent with those that included all patients with CAP, suggesting the degree of bias was probably small. Still, given this concern, it would be prudent not to generalize the findings of this review to immunocompromised patients. Moreover, although the critically ill and those who today would be classified as having healthcare‐associated pneumonia (HCAP)nursing home residents, the recently hospitalized, and hemodialysis patientswere included in most studies, their numbers were small, and these groups were not analyzed separately; thus, the results might not be generalizable to these populations either. Finally, the reported studies, which enrolled patients through 2003, do not reflect more recent increases in the prevalence of resistant pathogens, such as MRSA, in the community.

        BCs as a Quality Measure

        The adoption of BCs as a quality measure was largely predicated on the widely‐cited study by Meehan et al.,4 which showed an association between BC obtainment and reduced mortality. This study, which associated processes of care with hard outcomes such as mortality, was limited by uncontrolled confounders, including variation in hospital quality.53 A more recent study of pneumonia processes of care found no association between BC collection and mortality.54 Another study often cited to support BC use, by Arbo and Snydman,55 showed that positive BCs were associated with changes in antibiotic therapy, but it included very few pneumonia patients and did not describe results for them separately.

        The inclusion of BC acquisition in 2 quality measures in the NHQM guidelines for pneumonia impacts the clinical practice of hospitals and physicians, which may be rated and reimbursed differentially based on their compliance with such measures. One of the quality measures requires BCs in patients admitted to the ICU. The other requires that ED BCs for pneumonia, if obtained, be drawn before antibiotics are given.6

        The studies we reviewed are not specific to these quality measures, but are relevant to them. With regard to the first measure, all but 3 studies included patients admitted to the ICU and found BCs to be of minimal benefit overall. Our subgroup analysis of severely ill patients was unrevealing. The ICU measure is tentative in its validity, but it is not unreasonable given that these patients have a life‐threatening infection and may be at risk for bacteremia with resistant pathogens.12

        The second measure, though perhaps simply seeking to maximize the potential for BCs to turn positive, depends for its validity on BCs being useful in a large proportion of patients with CAP. Though we cannot exclude the possibility that BCs benefit certain subsets of patients, such as those who are immunocompromised or have HCAP, our findings do not support obtaining BCs in all or even most adults hospitalized with CAP. This conclusion is reflected in the 2007 Infectious Diseases Society of America/American Thoracic Society management guidelines for CAP, which state than BCs are optional except for patients with severe pneumonia, some immunocompromised states, and particular radiographic abnormalities.12

        With such data and guidelines in mind, a physician seeking to minimize treatment delays in a patient with pneumonia may give antibiotics early in the ED course (the basis of another quality measure) without obtaining BCs. If she later determines that the patient is particularly high‐risk for bacteremia or a resistant pathogen, should she be discouraged from ordering BCs? Experts specifically state that BCs, even after antibiotics, are warranted for such a patient.12

        With the scope of medical practice captured in quality measures being so narrow, having 2 measures based on a test with such limited benefit is itself questionable.

        Blood cultures (BCs) have long been a mainstay of the diagnostic evaluation of patients hospitalized with community‐acquired pneumonia (CAP). They have been strongly recommended by professional societies13 and are often expected by admitting physicians. A large retrospective study of Medicare patients with pneumonia found that obtaining BCs is associated with lower mortality.4 In 2002, when the National Hospital Quality Measures (NHQM) were introduced, BCs were included as a quality measure for pneumonia.5, 6

        However, there is uncertainty about the actual utility of BCs in CAP. In large studies they are true‐positive in only 7 to 11% of cases and false‐positive in 5%,2, 7 and whether they affect clinical management has been strongly questioned.810 Their impact may be limited by slow results, low frequency of bacterial resistance to the empiric antibiotic regimen, and reluctance of physicians to narrow antibiotic coverage.9, 11 Recent updates to professional society guidelines no longer recommend BCs in all admitted CAP patients.12

        To evaluate the clinical utility of BCs and the appropriateness of pnemonia quality measures based on BCs, we performed a systematic review of the literature to determine the effect of BCs on the management of adults with CAP requiring hospitalization.

        PATIENTS AND METHODS

        Data Sources and Searches

        We searched the English‐language literature via MEDLINE (1966 through September 2007), MEDLINE‐In Process, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, and ACP Journal Club. Within each of these databases we used keywords and exploded Medical Subject Headings (MeSH) to produce the following search strategy: blood culture(s) (keyword), bacteriological techniques (MeSH), blood [microbiology] (MeSH), bacteremia [microbiology or drug therapy] (MeSH), or diagnostic tests, routine (MeSH) combined with pneumonia (keyword), pneumonia (MeSH), lower respiratory tract infection(s) (keyword), or community‐acquired infections (MeSH). To maximize capture of BC or bacteremia studies with subgroups of CAP patients we added the following search strategy: explode microbiological techniques [utilization] (MeSH), explode blood specimen collection [utilization] (MeSH), or focus bacteremia [drug therapy] (MeSH). We reviewed the reference lists of all included studies as well as those of important background articles. Finally, we asked experts to evaluate the completeness of our list.

        Study Selection

        We included studies in which: (1) subjects were adults hospitalized with CAP; (2) BCs were obtained at or near hospital admission; and (3) the effects of BCs on management (change in antibiotic therapy or other effects such as duration of parenteral therapy, length of hospitalization, or level of care) were reported. The first 2 requirements could be satisfied by a subgroup.

        From retrieved citations, relevant abstracts were reviewed, and studies with any potential to meet inclusion criteria were chosen for full‐text review. Two authors (N.A., R.S.) independently analyzed each full‐text article to determine inclusion for data analysis. A third author (J.T.) analyzed all included and narrowly excluded articles to confirm the final list of included studies. Disagreements were resolved by discussion.

        Data Extraction

        For the included studies, 2 authors (N.A., K.A.) independently abstracted the following data using a standardized collection instrument: study design and setting, inclusion and exclusion criteria, number of hospitalized CAP patients in whom BCs were obtained, empiric antibiotic regimens, number of true‐positive and false‐positive BCs, bacteria isolated in true‐positive BCs, BC‐directed antibiotic narrowing, BC‐directed antibiotic broadening ultimately associated with a resistant organism, and any other management effects reported. Narrowing refers to coverage of fewer organisms, while broadening refers to coverage of a larger or different spectrum of organisms.

        If a study included patients not meeting our selection criteria, our analysis was limited to the subset of patients meeting criteria. We also analyzed each study to determine whether a subgroup of severely ill patients was reported separately and whether such a group benefited from BCs. The 2 authors independently repeated all data abstraction to confirm accuracy. We attempted to contact authors for clarification when needed.

        Data Synthesis

        Data were synthesized by compilation of characteristic summary tables. In the primary analysis, the proportion of positive BCs (both true and false) and the frequency of BC‐directed changes in antimicrobial therapy (narrowing, or broadening ultimately associated with a resistant organism) were determined and reported for each study and then described as an aggregate range. This compilation required studies to provide a particular denominatorthe number of patients in whom BCs were performed. If a study did not do so, it was described separately in the secondary analysis, where we also assessed the cost of BCs as well as the impact of BCs in critically ill patients and on outcomes other than antibiotic change. Heterogeneity of subject inclusion and exclusion criteria and empiric antibiotic use were summarized qualitatively. Two authors (N.A., R.S.) assessed each study's quality.

        DATA SYNTHESIS

        Search Results

        Our electronic database search yielded 3236 citations. From this list and the supplementary search of references, we reviewed 607 abstracts; of these, we selected 73 articles for full‐text review, and 15 were included in the final analysis (Figure 1). One study was narrowly excluded because it largely included CAP patients that had already been admitted to the hospital and failed an empiric antibiotic trial before BCs were obtained.13

        Figure 1
        Study selection process.

        Study Characteristics

        Fifteen studies with a total of 3898 patients evaluated BC‐directed management changes in adults admitted with CAP.11, 1427 However, 2 of these, involving only patients with bacteremic pneumococcal CAP, by design could not report the number of patients that had BCs done; thus they were not included in the primary analysis.16, 25

        The 13 studies amenable to the primary analysis (Table 1) all had an observational cohort design; 6 were prospective11, 18, 20, 24, 26, 27 and 7 were retrospective.14, 15, 17, 19, 2123 Sample size varied from 52 to 760 patients. Settings included university and community hospitals in the U.S. and 4 other countries, with patient enrollment spanning the years 19882003 (publication dates 19912007).

        Studies of Utility of Blood Cultures in CAP
        Study Author, Year, Design, Setting Inclusion Criteria Exclusion Criteria CAP Patients with BCs, n*; True‐Positive BCs, n (%); False‐Positive BCs, n (%) BCs Directed Antibiotic Narrowing, n (%) BCs Directed Antibiotic Broadening and Organism was Resistant, n (%) Comments
        • Abbreviations: ATS, American Thoracic Society; BC(s), blood culture(s); CAP, community‐acquired pneumonia; COPD, chronic obstructive pulmonary disease; CXR, chest x‐ray; ED, emergency department; HCAP, health care‐associated pneumonia (nursing home resident, recent hospitalization); HIV, human immunodeficiency virus; IC, immunocompromised; ICD‐9, International Classification of Diseases, 9th version; IDDM, insulin‐dependent diabetes mellitus; IVDU, intravenous drug user; PNA, pneumonia; PSI, pneumonia severity index; S. pneumo, S. pneumoniae; abx, antibiotic; dx, diagnosis; pt(s), patient(s); res, resistant; sxm(s), symptom(s).

        • n in the column headings always refers to a number of patients.

        • For brevity we use this abbreviation when a study excluded patients deemed immunocompromised and/or excluded patients with HIV, sickle cell disease, or those receiving immunosuppressive therapy.

        • Cost figures followed by (US) were originally reported in a non‐U.S. currency. We converted to US dollars using the currency exchange rate at the time of the study's publication. If the study included nonpneumonia patients, we calculated and reported cost per antibiotic change for the subset of pneumonia patients only.

        Benenson et al.,14 2007; retrospective, U.S. suburban ED ICD‐9 dx and discharge dx of PNA None n = 684; 23 (3.4); 54 (7.9) 3 (0.4) 0 (0) 11% of pts with ED dx of PNA not eligible due to different dx at discharge; 25% from nursing homes, 18% recently hospitalized, 14% immunocompromised; Abxs narrowed in 3/21 eligible pts
        Ramanujamand Rathlev,22 2006; retrospective; U.S. urban ED, ICD‐9, and discharge dx of PNA, and ED BCs before abxs IC, active cancer, chronic renal failure, hospitalized last 1 week, nursing home resident, aspiration n = 289; 13 (4.5%); 13 (4.5%) 1 (0.3%) 0 (0%) 532 pts screened; 3% not eligible due to different dx at discharge; of eligible pts, 9% excluded due to HCAP and 31% excluded due to other risk factors; Abxs were narrowed in 1/10 eligible pts; Cost: $8,000 for the 1 pt with abx change
        Mountain et al.,21 2006; retrospective, Australian suburban All pts who had BCs done in the ED during a 2‐month period (PNA pts were a subgroup) None n = 52; Not reported; Not reported 1 (1.9) 0 (0) 52/218 study pts had clinical PNA. Overall BCs true‐positive in 6.4%, false‐positive in 7.3%; frequencies for PNA pts not reported separately; Reason for abx change (ceftriaxone to ciprofloxacin) not reported, but thought not to be associated with resistant organism (personal communication); Cost: $1,950 (U.S.) per BC that altered treatment
        Kennedy et al.,20 2005; prospective, U.S urban Clinical and radiographic PNA and BCs in ED or within 3 hours of admission None n = 385; 27 (7.0); 6.0% 11 (2.9) 4 (1.0) 23% of pts from nursing homes, 22% admitted to ICU; 3/4 pts whose abxs were broadened due to a resistant organism came from nursing homes; Abxs were narrowed in 11/19 eligible pts; BCs were false‐positive in 25/414 (6%) pts, including 29 pts discharged from the ED
        Corbo et al.,17 2004; retrospective, U.S. urban Primary diagnosis of CAP, positive CXR, and ED BCs before abxs IC, cancer, recent hospitalization, nursing home resident n = 355; 33 (9.3); 37 (10.4) 7 (2.0) 0 (0) 821 pts admitted with CAP; 24% not eligible due to non‐confirmatory CXR; of eligible pts, 22% excluded due to HCAP, 23% excluded due to other risk factors; 6 pts with false‐positive BCs had abx change due to BCs ‐ authors suggest hospitalization prolonged in these cases; Physicians reluctant to narrow abxs per authors
        Campbell et al.,11 2003; prospective, Canadian multiple (19) hospitals Two signs or sxms of PNA and positive CXR IC, shock, direct ICU admission, chronic kidney disease, pregnant or nursing, alcoholism n = 760; 43 (5.7); Not reported 12 (1.6) 2 (0.3) 38% of pts screened with suspected CAP either ineligible or excluded due to risk factors; Abxs were narrowed in 12/35 eligible pts; In one case, BCs grew MRSA resistant to empiric abxs, but abxs had been changed before BC results available; Cost: $1550 (U.S.) per BC leading to abx change
        Waterer and Wunderink,26 2001; prospective; U.S. urban Signs and sxms of PNA, positive CXR, and BCs before abxs IC, hospitalized last 30 days, nursing home residents (if non‐ambulatory) n = 209; 29 (13.9); 9 (4.3) 5 (2.4) 1 (0.5) BCs only changed management in pts in PSI class 4 and 5
        Theerthakarai et al.,24 2001; prospective, U.S. suburban Acute febrile illness with respiratory sxms and a positive CXR IC, cancer, age >65, alcoholism, IVDU, COPD, IDDM, neurologic disease, renal failure, recent abx, severe or complicated PNA n = 74; 0 (0); 0 (0) 0 (0%) 0 (0%) Very strict exclusion criteria: 62% of eligible pts excluded due to risk factors; Authors reported that 28% of included pts could have been treated as outpatients per ATS guidelines
        Sanyal et al.,23 1999; retrospective, U.S. urban Acute lower respiratory tract infection and positive CXR IC, cancer, hospitalized last 12 weeks, IVDU, bronchiectasis, splenectomy, not treated per ATS guidelines n = 174; 19 (10.9); Not reported Not reported 1 (0.6%) BC‐directed antibiotic changes only reported for pts who did not respond to initial abxs, so BC‐directed narrowing could not be determined; The pt whose abxs were broadened was a nursing home resident with severe pneumonia (by ATS criteria)
        Glerant et al.,18 1999; prospective, French suburban Acute septic episode with respiratory sxms and positive CXR IC, ICU admission, hospitalized last 2 weeks, aspiration n = 53; 5 (9.4); 2 (3.8) 0 (0) 0 (0) BCs done during first 48 hours so not clear how many BCs sent after hospital abxs started; 23 pts were on abxs before admission; Cost: $6006 (U.S.), no abx changes
        Kelly,19 1998; retrospective, Australian suburban All pts who had BCs done in the ED over a 9‐ month period (PNA pts were a subgroup) None n = 260; 5%; Not reported 1% 1% 260/1062 study pts had PNA; 14% of all pts discharged; for CAP pts percentage not reported; False‐positive rate 3.8% for all pts, but not reported separately for PNA pts; 1% of PNA pts had abx change due to BCs; type of change not reported, hence reporting of 1% in outcome columns; Cost: $4800 (U.S.) per abx change
        Chalasani et al.,15 1995; retrospective; U.S. urban Dx of PNA, respiratory sxms, positive CXR, and 2 sets of BCs before abxs IC, cancer, hospitalized last 2 weeks, nursing home resident n = 517; 34 (6.6); 25 (4.8) 7 (1.4) 0 (0) 1250 pts screened with discharge dx of PNA; 59% either ineligible or excluded due to risk factors (authors did not report number ineligible due to the BC requirement); In one case, BCs grew H. influenzae resistant to empiric abxs, but sputum cultures drove the abx change; Cost: $4875 per abx change
        Woodhead et al.,27 1991; prospective, British urban (2 hospitals) Clinical features of CAP and positive CXR IC, cancer, admitted to geriatric or communicable disease ward n = 86; 9 (10.5%); Not reported 2 (2.3) 1 (1.2) 8% of pts meeting inclusion and exclusion criteria were later excluded due to different dx at discharge

        Included patients were usually required to have clinical features of pneumonia and a confirmatory chest x‐ray. Treating physicians were required to obtain BCs (either by study or hospital protocol) in only 3 studies14, 22, 24 and in a subgroup of another study;11 otherwise the performance of BCs was left to physician discretion.

        Nine studies excluded patients who were immunocompromised,11, 15, 17, 18, 2224, 26, 27 a label that was often incompletely defined. Otherwise, exclusion criteria were variable. Notably, only 3 studies excluded patients admitted to the intensive care unit (ICU),11, 18, 24 while 6 excluded patients with cancer15, 17, 2224, 27 and 6 excluded either nursing home residents15, 17, 22, 26 or the elderly (de facto exclusion of most nursing home residents).24, 27

        Empiric antibiotic regimens, where reported, were predominantly cephalosporin plus macrolide combinations in 4 studies,17, 2224 fluoroquinolones in 3 studies,11, 14, 26 and penicillin or 1 of its derivatives in 1 study.27

        Concerning the 2 studies not included in the primary analysis, the one by Waterer et al.25 was a retrospective review of all cases of pneumococcal bacteremia (n = 74) associated with an admission diagnosis of CAP (N = 1805) in a US urban hospital over a 3‐year period. The one by Chang et al.16 was a retrospective case‐control study of 288 randomly‐selected, immunocompetent Medicare patients with bacteremic pneumococcal CAP who survived to discharge. They were matched 1:1 with blood and sputum culture‐negative controls to study the rate of fluoroquinolone use at discharge in the 2 groups.

        Study Findings

        Primary Analysis

        As shown in Table 1, BCs were positive for a true pathogen in 0% to 14% of cases. Details of microbiology and empiric antibiotic selection are reported in Table 2. S. pneumoniae was by far the most common pathogen: of the 9 studies that had positive BCs and reported the organisms, S. pneumoniae represented 50% to 91% of the pathogens, with penicillin‐resistance found in 0% to 20%.11, 14, 15, 17, 18, 20, 22, 23, 26 S. aureus was next most common, occurring in 6 studies and growing in 3% to 23% of positive BCs;11, 14, 17, 20, 23, 26 its sensitivity to methicillin was reported in 3 studies, with methicillin‐resistant S. aureus (MRSA) representing 0/3, 3/7, and 1/1 of cases.14, 20, 23 E. coli represented 3% to 11% of pathogens in 6 studies,11, 14, 15, 20, 23, 26 while H. influenzae represented 2% to 15% of pathogens in 7 studies.11, 14, 15, 18, 22, 23, 26

        Empiric Antibiotics and Microbiology
        Study: Author, Year Empiric Antibiotics Given: Frequency, Agent Bacteria Isolated in True‐Positive BCs: n, Organism Organisms in BCs Resistant to Empiric Antibiotics
        • Abbreviations: Grp, group; MRSA, methicillin‐resistant S. aureus; MSSA, methicillin‐sensitive S. aureus; PCN, penicillin; interm, intermediate; res, resistant; Staph, staphylococcus; Strep, streptococcus.

        Benenson et al.,14 2007 Mild to moderate PNA: levofloxacin; If ICU admission: levofloxacin + azithromycin; If HCAP: levofloxacin + clindamycin; If risk for MRSA: added vancomycin; If structural lung disease: added tobramycin 14 S. pneumoniae; 3 S. aureus (all MSSA); 2 Group B Strep; 2 H. influenzae; 1 E. coli; 1 Group A Strep None
        Ramanujam and Rathlev,22 2006 Ceftriaxone + oral azithromycin 11 S. pneumoniae (1 PCN interm res); 2 H. influenzae None
        Mountain et al.,21 2006 Not reported Not reported completely None
        Kennedy et al.,20 2005 Not reported 15 S. pneumoniae (3 PCN res); 7 S. aureus (3 MRSA); 3 E. coli; 1 Coagulase‐negative Staph; 1 Pseudomonas; 1 Proteus; 1 Moraxella; 1 E. faecalis 2 MRSA; 1 MSSA (res to levofloxacin, clindamycin); 1 E. coli (res to levofloxacin)
        Corbo et al.,17 2004 48% ceftriaxone + macrolide; 21% cephalosporin only; 6% quinolone only 30 S. pneumoniae; 2 S. aureus (# MRSA not reported); 1 Staph haemolyticus None
        Campbell et al.,11 2003 55% levofloxacin; 45% antibiotic not reported 30 S. pneumoniae (1 PCN res); 5 S. aureus (total # MRSA not reported); 5 E. coli; 1 H. influenzae; 1 E. faecalis; 1 K. pneumoniae; 1 Enterobacter 1 MRSA (antibiotic changed before BC results available); 1 MSSA (res not reported); 1 S. pneumoniae (PCN res)
        Waterer and Wunderink,26 2001 60% quinolone only; 25% quinolone + other antibiotic(s) 20 S. pneumoniae (3 PCN res); 3 S. viridans; 1 H. influenzae; 1 S. aureus (# MRSA not reported); 1 Enterobacter; 1 E. coli; 1 Group B Strep; 1 Group D Strep; 1 Group G Strep; 1 Acinetobacter 1 Group D Strep (res to levofloxacin)
        Theerthakarai et al.,24 2001 Cephalosporin + macrolide None None
        Sanyal et al.,23 1999 Severe CAP: erythromycin + ceftazidime or ticarcillin/clavulanate; Nonsevere CAP: 76% cefuroxime + erythromycin, 18% cefuroxime only 14 S. pneumoniae (0 PCN res); 2 H. influenzae; 1 S. aureus (MRSA); 1 K. pneumoniae; 1 E. coli 1 MRSA
        Glerant et al.,18 1999 Not reported 4 S. pneumoniae (0 PCN res); 1 H. influenzae None
        Kelly,19 1998 Not reported Not reported Cannot determine
        Chalasani et al.,15 1995 Not reported 29 S. pneumoniae (0 PCN res); 3 H. influenzae; 1 S. pyogenes; 1 E. coli H. influenzae (sputum culture drove the antibiotic change)
        Woodhead et al.,27 1991 78% included penicillin, aminopenicillin, or amoxicillin/clavulanate; 33% included erythromycin; 21% ‐lactam + erythromycin Not reported separately for BCs E. coli (res to erythromycin)
        Chang et al.,16 2005 BC+/Controls: 34%/21%/Quinolones; 86%/88%/ ‐lactam; 1%/1%/Amox/PCN; 38%/37%/ Macrolide 288 S. pneumoniae (only organism, by design) Not reported
        Waterer et al.,25 1999 38% Cephalosporin + macrolide other; 27% Quinolone other 74 S. pneumoniae (only organism, by design); 11 PCN interm res; 4 PCN res 2 S. pneumoniae (both resistant; degree of resistance not specified)

        In the 8 studies that reported false‐positive BCs, the false‐positive rate was 0% to 10%,14, 15, 17, 18, 20, 22, 24, 26 with 5 studies finding comparable false‐positive and true‐positive BC rates15, 17, 20, 22, 24 and 1 study finding a substantially higher frequency of false‐positive than true‐positive BCs (Table 1).14

        BCs led to narrowing of antibiotic coverage in 0% to 3% of cases (Table 1). Four studies reported that physicians narrowed antibiotics when BCs indicated that it was possible to do so, but only in 10%, 14%, 34%, and 58% of eligible cases.11, 14, 20, 22

        BCs led to antibiotic broadening ultimately associated with a resistant organism in 0% to 1% of cases (Table 1). The pathogens were MRSA (3), methicillin‐sensitive S. aureus (2), E. coli (2), S. pneumoniae (1), and Group D Streptococcus (1). Details about these patients' medical histories and demographics were absent or sparse in all but 1 study.20 For several of the above cases it was not explicitly stated that BCs directed the antibiotic changes, though it was usually implied; thus we assumed causation.

        Secondary Analyses

        In the pneumococcal bacteremia study by Waterer et al.,25 BCs altered management in 31 of the 74 cases of pneumococcemia, but in only 2 patients was this associated with antibiotic resistance. Most of the other 29 cases involved narrowing of antibiotics, though switching to penicillin or dropping atypical coverage occurred in only 22% and 37% of eligible patients, respectively. In the study by Chang et al.,16 there was no significant difference in fluoroquinolone use at discharge between the pneumococcemic and culture‐negative groups (the primary endpoint), though there was significantly higher ‐lactam use and lower macrolide use in the pneumococcemic patients at discharge. From the data provided it was not possible to determine how often antibiotic broadening occurred.

        Only 2 of the 15 studies stratified management effects based on severity of illness, and neither specified the proportion of severely ill patients admitted to the ICU. Waterer and Wunderink26 prospectively hypothesized that sicker patients were more likely to benefit from BCs. They found that the 30 patients in pneumonia severity index class 5 were most likely to have a BC‐driven antibiotic change, though in at most 1 of these patients was associated with a resistant organism. Sanyal et al.23 stratified patients by severity based on expert guidelines. They found that 19 of 174patients had severe CAP that did not respond to the initial antibiotic regimen, with 1 having a BC‐driven antibiotic change; this was due to resistance.

        Only 1 study reported an outcome other than antibiotic change, which in this case was duration of parenteral therapy. In the study, 5 of 43 patients with true‐positive BCs remained on intravenous antibiotics for the full course of treatment probably due to bacteremia alone.11

        The direct cost of BCs per BC‐directed antibiotic change (or total cost of BCs if there was no antibiotic change) was reported in 6 studies and, not adjusted for inflation, ranged from $1550 to $8000 (U.S.).11, 15, 18, 19, 21, 22

        Quality of the Studies

        A detailed listing of the strengths and weaknesses of each study is provided in the Appendix. Briefly, all 15 studies included in this review were observational. Most did not prospectively require BCs in all patients admitted with CAP. This could have biased the results in favor of BC utility as physicians presumably order BCs in patients with a higher probability of bacteremia. Conversely, several studies did not explicitly require two sets of BCs or that BCs be done prior to antibiotics, so they may not have revealed the maximum utility of BCs. The 2 studies limited to pneumococcal bacteremia and described in the secondary analysis were inherently biased against BC utility, as pneumococcus is more likely to be antibiotic‐sensitive than other CAP pathogens.

        Eligibility was based only on an emergency department (ED)/admission diagnosis of CAP, a criteria that approximates real world practice, in 3 studies.19, 21, 25 The other studies required either a confirmatory radiograph or a hospital discharge diagnosis of pneumonia. Consequent ED/admission misdiagnosis rates were 3%, 8%, 11%, 24% in the 4 studies that reported them;14, 17, 22, 27 the final diagnoses, when reported, were nearly all noninfections or proximal respiratory tract infections.22, 27

        Five studies included all eligible patients.14, 1921, 25 However, 3 studies excluded 23%, 31%, and 62% of eligible patients based on risk factors for bacteremia or resistant pathogens,17, 22, 24 and the rest did not report the number excluded.

        DISCUSSION

        Summary of Findings

        Our systematic review of the literature finds that BCs rarely alter empiric antibiotic therapy in adults hospitalized with community‐acquired pneumonia. Even when there is a change in treatment it usually is not of the type most likely to impact patient outcome, which is antibiotic broadening ultimately associated with a resistant organism. In the 13 studies that could quantify this effect, it occurred in only 0% to 1% of cases in which BCs were obtained. Antibiotic narrowing occurred in 0% to 3% of cases, with physicians often choosing not to narrow antibiotics when BC results suggested that they could do so.

        Limits on BC Utility

        ‐Lactam‐Resistant Pneumococcus

        In the studies reviewed here 50%‐90% of positive BCs grew pneumococcus, consistent with the 60% to 67% rate reported elsewhere.2, 28, 29 Pneumococci that invade the bloodstream have disproportionately low rates of ‐lactam resistance,30, 31 inherently limiting the utility of BCs for detecting inadequate empiric antibiotic therapy. Though pneumococcal resistance to ‐lactams has risen over the last 2 decades, third‐generation cephalosporins, preferred agents for CAP, are still extremely effective. Even when the organism is by historical standards moderately resistant to them, these cephalosporins at standard doses maintain bactericidal efficacy in the lung,32, 33 and their use in the setting of such resistance is not associated with higher mortality.3437 By newer laboratory standards 97% and 96% of S. pneumoniae isolates in mid‐2003 were sensitive to ceftriaxone and cefotaxime, respectively.38 Thus a major potential benefit of BCsdetecting cephalosporin‐resistant pneumococcusremains a rare occurrence.

        Polymicrobial Infection

        If positive BCs in CAP mostly reveal antibiotic‐sensitive pathogens, one may infer that at least they lead to narrowing of therapy. However, the studies reviewed here reveal that this usually does not happen.

        One explanation for this reluctance to narrow antibiotics is that CAP is often a polymicrobial disease. When rigorous serologic testing is done, multiple pathogens are found in up to 40% of cases.39 The occult copathogen is frequently an intracellular one and thus cannot be detected by BCs. Though the evidence for empirically treating these atypical organisms is mixed,40, 41 expert guidelines recommend doing so,12 and guideline‐concordant antibiotic therapy in CAP is associated with lower mortality.42 Even in bacteremic pneumococcal CAP, monotherapy is associated with higher mortality.4346 Thus, stopping antibiotic coverage of atypical pathogens in response to BCs alone might not always be appropriate.

        Prognosis

        Another rationale given for ordering BCs is that bacteremic pneumonia is a morbid disease so positive BCs may demand prolonged parenteral therapy or extended hospitalization. Although mortality for bacteremic pneumococcal pneumonia (the predominantly studied variety of bacteremic pneumonia) has historically been high at 20%,47, 48 studies that have examined pneumococcal bacteremia as an independent risk factor for death in CAP have yielded mixed results.2 Moreover, it appears that patients with bacteremic pneumococcal pneumonia who reach clinical stability may be safely switched to oral antibiotics.49

        It is not clear that positive BCs in pneumonia (at least in the case of S. pneumoniae) should alter the duration of parenteral therapy or hospitalization, though whether or not such effects occur in clinical practice was largely unaddressed by the studies reviewed here.

        Epidemiology

        One theoretical benefit of BCs is their epidemiologic value. When true‐positive in pneumonia, perhaps more than any other test they identify with great specificity at least 1 of the causative agents. Unfortunately, as discussed above, BCs alone provide an incomplete and skewed picture of the microbiology of CAP. They underestimate atypical organisms, overestimate pneumococcus, and, because bacteremic pneumococcus is more likely to be antibiotic‐susceptible, they underestimate antibiotic resistance.11 Tracking pathogens in bacteremic pneumonia may be useful nonetheless, but perhaps a more accurate method for determining etiologic trends is periodic comprehensive microbiological investigation, including BCs, sputum/bronchial cultures, and serology.

        Costs

        In the studies reviewed here, based on reported costs of $15 to $65 per set of BCs or per patient, BCs cost $1550 to $8000 (U.S.) per BC‐directed antibiotic change. Considering that very few of these antibiotic changes involved broadening associated with a resistant organism, the cost/benefit ratio was quite high. Today BCs may be even more expensive, as U.S. hospitals now often charge over $150 per set of BCs.50, 51

        The cost of false‐positive BCs must also be taken into account. The false‐positive rate in the studies reviewed here was 0% to 10%, similar to that reported elsewhere.7 False‐positive BCs increase hospital length of stay by 3 to 5 days and hospital charges by $4400 to $8800.51, 52

        Limitations of the Review

        Our search strategy was designed to be sensitive and included backup methods such as searching article references and querying experts. Nevertheless, we may have missed studies, especially if there were small eligible subgroups or if determining management effects was not a primary purpose. We chose not to measure instances of antibiotic broadening that were not associated with a resistant organism, though in unusual cases (eg, Pseudomonas bacteremia) this effect of BCs may be useful.

        The methodologies of the included studies were adequate to measure the key outcomes with reasonable validity. Biases were evident, though they occurred both for and against BC utility.

        Eligibility varied across studies, and most investigations excluded immunocompromised or other high‐risk patient groups, which could have biased results against BC utility. However, results of these studies were consistent with those that included all patients with CAP, suggesting the degree of bias was probably small. Still, given this concern, it would be prudent not to generalize the findings of this review to immunocompromised patients. Moreover, although the critically ill and those who today would be classified as having healthcare‐associated pneumonia (HCAP)nursing home residents, the recently hospitalized, and hemodialysis patientswere included in most studies, their numbers were small, and these groups were not analyzed separately; thus, the results might not be generalizable to these populations either. Finally, the reported studies, which enrolled patients through 2003, do not reflect more recent increases in the prevalence of resistant pathogens, such as MRSA, in the community.

        BCs as a Quality Measure

        The adoption of BCs as a quality measure was largely predicated on the widely‐cited study by Meehan et al.,4 which showed an association between BC obtainment and reduced mortality. This study, which associated processes of care with hard outcomes such as mortality, was limited by uncontrolled confounders, including variation in hospital quality.53 A more recent study of pneumonia processes of care found no association between BC collection and mortality.54 Another study often cited to support BC use, by Arbo and Snydman,55 showed that positive BCs were associated with changes in antibiotic therapy, but it included very few pneumonia patients and did not describe results for them separately.

        The inclusion of BC acquisition in 2 quality measures in the NHQM guidelines for pneumonia impacts the clinical practice of hospitals and physicians, which may be rated and reimbursed differentially based on their compliance with such measures. One of the quality measures requires BCs in patients admitted to the ICU. The other requires that ED BCs for pneumonia, if obtained, be drawn before antibiotics are given.6

        The studies we reviewed are not specific to these quality measures, but are relevant to them. With regard to the first measure, all but 3 studies included patients admitted to the ICU and found BCs to be of minimal benefit overall. Our subgroup analysis of severely ill patients was unrevealing. The ICU measure is tentative in its validity, but it is not unreasonable given that these patients have a life‐threatening infection and may be at risk for bacteremia with resistant pathogens.12

        The second measure, though perhaps simply seeking to maximize the potential for BCs to turn positive, depends for its validity on BCs being useful in a large proportion of patients with CAP. Though we cannot exclude the possibility that BCs benefit certain subsets of patients, such as those who are immunocompromised or have HCAP, our findings do not support obtaining BCs in all or even most adults hospitalized with CAP. This conclusion is reflected in the 2007 Infectious Diseases Society of America/American Thoracic Society management guidelines for CAP, which state than BCs are optional except for patients with severe pneumonia, some immunocompromised states, and particular radiographic abnormalities.12

        With such data and guidelines in mind, a physician seeking to minimize treatment delays in a patient with pneumonia may give antibiotics early in the ED course (the basis of another quality measure) without obtaining BCs. If she later determines that the patient is particularly high‐risk for bacteremia or a resistant pathogen, should she be discouraged from ordering BCs? Experts specifically state that BCs, even after antibiotics, are warranted for such a patient.12

        With the scope of medical practice captured in quality measures being so narrow, having 2 measures based on a test with such limited benefit is itself questionable.

        References
        1. Bartlett JG,Dowell SF,Mandell LA,File TM,Musher DM,Fine MJ.Practice guidelines for the management of community‐acquired pneumonia in adults. Infectious diseases society of America.Clin Infect Dis.2000;31:347382.
        2. Mandell LA,Marrie TJ,Grossman RF,Chow AW,Hyland RH.Canadian guidelines for the initial management of community‐acquired pneumonia: an evidence‐based update by the Canadian infectious diseases society and the Canadian thoracic society. The Canadian community‐acquired pneumonia working group.Clin Infect Dis.2000;31:383421.
        3. Niederman MS,Mandell LA,Anzueto A, et al.Guidelines for the management of adults with community‐acquired pneumonia. Diagnosis, assessment of severity, antimicrobial therapy, and prevention.Am J Respir Crit Care Med.2001;163:17301754.
        4. Meehan TP,Fine MJ,Krumholz HM, et al.Quality of care, process, and outcomes in elderly patients with pneumonia.JAMA.1997;278:20802084.
        5. Hospital quality initiative, overview, centers for Medicare and Medicaid services. Available at: http://www.cms.hhs.gov/HospitalQualityInits. Accessed September2007.
        6. Specifications manual for national hospital quality measures, version 2.3b. Available at: http://www.jointcommission.org/PerformanceMeasurement/PerformanceMeasurement/Current+NHQM+Manual.htm. Accessed October2007.
        7. Metersky ML,Ma A,Bratzler DW,Houck PM.Predicting bacteremia in patients with community‐acquired pneumonia.Am J Respir Crit Care Med.2004;169:342347.
        8. Walls RM,Resnick J.The joint commission on accreditation of healthcare organizations and center for Medicare and Medicaid services community‐acquired pneumonia initiative: what went wrong?Ann Emerg Med.2005;46:409411.
        9. Luna CM.Blood cultures in community‐acquired pneumonia: Are we ready to quit?Chest.2003;123:977978.
        10. Craven DE.Blood cultures for community‐acquired pneumonia: piecing together a mosaic for doing less.Am J Respir Crit Care Med.2004;169:327328.
        11. Campbell SG,Marrie TJ,Anstey R,Dickinson G,Ackroyd‐Stolarz S.The contribution of blood cultures to the clinical management of adult patients admitted to the hospital with community‐acquired pneumonia: a prospective observational study.Chest.2003;123:11421150.
        12. Mandell LA,Wunderink RG,Anzueto A, et al.Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community‐acquired pneumonia in adults.Clin Infect Dis.2007;44 (Suppl 2):S27S72.
        13. Ewig S,Bauer T,Hasper E,Marklein G,Kubini R,Luderitz B.Value of routine microbial investigation in community‐acquired pneumonia treated in a tertiary care center.Respiration.1996;63:164169.
        14. Benenson RS,Kepner AM,Pyle DN,Cavanaugh S.Selective use of blood cultures in emergency department pneumonia patients.J Emerg Med.2007;33:18.
        15. Chalasani NP,Valdecanas MA,Gopal AK,McGowan JE,Jurado RL.Clinical utility of blood cultures in adult patients with community‐acquired pneumonia without defined underlying risks.Chest.1995;108:932936.
        16. Chang NN,Murray CK,Houck PM,Bratzler DW,Greenway C,Guglielmo BJ.Blood culture and susceptibility results and allergy history do not influence fluoroquinolone use in the treatment of community‐acquired pneumonia.Pharmacotherapy.2005;25:5966.
        17. Corbo J,Friedman B,Bijur P,Gallagher EJ.Limited usefulness of initial blood cultures in community acquired pneumonia.Emerg Med J.2004;21:446448.
        18. Glerant JC,Hellmuth D,Schmit JL,Ducroix JP,Jounieaux V.Utility of blood cultures in community‐acquired pneumonia requiring hospitalization: Influence of antibiotic treatment before admission.Respir Med.1999;93:208212.
        19. Kelly AM.Clinical impact of blood cultures taken in the emergency department.J Accid Emerg Med.1998;15:254256.
        20. Kennedy M,Bates DW,Wright SB,Ruiz R,Wolfe RE,Shapiro NI.Do emergency department blood cultures change practice in patients with pneumonia?Ann Emerg Med.2005;46:393400.
        21. Mountain D,Bailey PM,O'Brien D,Jelinek GA.Blood cultures ordered in the adult emergency department are rarely useful.Eur J Emerg Med.2006;13:7679.
        22. Ramanujam P,Rathlev NK.Blood cultures do not change management in hospitalized patients with community‐acquired pneumonia.Acad Emerg Med.2006;13:740745.
        23. Sanyal S,Smith PR,Saha AC,Gupta S,Berkowitz L,Homel P.Initial microbiologic studies did not affect outcome in adults hospitalized with community‐acquired pneumonia.Am J Respir Crit Care Med.1999;160:346348.
        24. Theerthakarai R,El‐Halees W,Ismail M,Solis RA,Khan MA.Nonvalue of the initial microbiological studies in the management of nonsevere community‐acquired pneumonia.Chest.2001;119:181184.
        25. Waterer GW,Jennings SG,Wunderink RG.The impact of blood cultures on antibiotic therapy in pneumococcal pneumonia.Chest.1999;116:12781281.
        26. Waterer GW,Wunderink RG.The influence of the severity of community‐acquired pneumonia on the usefulness of blood cultures.Respir Med.2001;95:7882.
        27. Woodhead MA,Arrowsmith J,Chamberlain‐Webber R,Wooding S,Williams I.The value of routine microbial investigation in community‐acquired pneumonia.Respir Med.1991;85:313317.
        28. Lim WS,Macfarlane JT,Boswell TC, et al.Study of community acquired pneumonia aetiology (scapa) in adults admitted to hospital: implications for management guidelines.Thorax.2001;56:296301.
        29. Apisarnthanarak A,Mundy LM.Etiology of community‐acquired pneumonia.Clin Chest Med.2005;26:4755.
        30. Imran MN,Leng PH,Yang S,Kurup A,Eng P.Early predictors of mortality in pneumococcal bacteraemia.Ann Acad Med Singapore.2005;34:426431.
        31. Winston LG,Perlman JL,Rose DA,Gerberding JL.Penicillin‐nonsusceptible Streptococcus pneumoniae at San Francisco general hospital.Clin Infect Dis.1999;29:580585.
        32. Craig WA.Pharmacokinetic/pharmacodynamic parameters: Rationale for antibacterial dosing of mice and men.Clin Infect Dis.1998;26:110; quiz 11–12.
        33. Siegel RE.The significance of serum vs tissue levels of antibiotics in the treatment of penicillin‐resistant Streptococcus pneumoniae and community‐acquired pneumonia: are we looking in the wrong place?Chest.1999;116:535538.
        34. Ewig S,Ruiz M,Torres A, et al.Pneumonia acquired in the community through drug‐resistant Streptococcus pneumoniae.Am J Respir Crit Care Med.1999;159:18351842.
        35. Pallares R,Capdevila O,Linares J, et al.The effect of cephalosporin resistance on mortality in adult patients with nonmeningeal systemic pneumococcal infections.Am J Med.2002;113:120126.
        36. Pallares R,Linares J,Vadillo M, et al.Resistance to penicillin and cephalosporin and mortality from severe pneumococcal pneumonia in Barcelona, Spain.N Engl J Med.1995;333:474480.
        37. Yu VL,Chiou CCC,Feldman C, et al.An international prospective study of pneumococcal bacteremia: correlation with in vitro resistance, antibiotics administered, and clinical outcome.Clin Infect Dis.2003;37:230237.
        38. Master RN,Draghi DC,Jones ME,Thornsberry C,Sahm DF,Karlowsky JA.Tracking the implementation of NCCLS m100‐s12 expanded‐spectrum cephalosporin MIC breakpoints for non‐meningeal isolates of Streptococcus pneumoniae by clinical laboratories in the united states during 2002 and 2003.Ann Clin Microbiol Antimicrob.2004;3:1.
        39. Lieberman D,Schlaeffer F,Boldur I, et al.Multiple pathogens in adult patients admitted with community‐acquired pneumonia: a one year prospective study of 346 consecutive patients.Thorax.1996;51:179184.
        40. Oosterheert JJ,Bonten MJM,Hak E,Schneider MME,Hoepelman IM.How good is the evidence for the recommended empirical antimicrobial treatment of patients hospitalized because of community‐acquired pneumonia? A systematic review.J Antimicrob Chemother.2003;52:555563.
        41. Shefet D,Robenshtok E,Paul M,Leibovici L.Empirical atypical coverage for inpatients with community‐acquired pneumonia: systematic review of randomized controlled trials.Arch Intern Med.2005;165:19922000.
        42. Frei CR,Restrepo MI,Mortensen EM,Burgess DS.Impact of guideline‐concordant empiric antibiotic therapy in community‐acquired pneumonia.Am J Med.2006;119:865871.
        43. Baddour LM,Yu VL,Klugman KP, et al.Combination antibiotic therapy lowers mortality among severely ill patients with pneumococcal bacteremia [see comment].Am J Respir Crit Care Med.2004;170:440444.
        44. Martinez JA,Horcajada JP,Almela M, et al.Addition of a macrolide to a beta‐lactam‐based empirical antibiotic regimen is associated with lower in‐hospital mortality for patients with bacteremic pneumococcal pneumonia. [see comment].Clin Infect Dis.2003;36:389395.
        45. Waterer GW,Somes GW,Wunderink RG.Monotherapy may be suboptimal for severe bacteremic pneumococcal pneumonia.Arch Intern Med.2001;161:18371842.
        46. Weiss K,Low DE,Cortes L, et al.Clinical characteristics at initial presentation and impact of dual therapy on the outcome of bacteremic Streptococcus pneumoniae pneumonia in adults.Can Respir J.2004;11:589593.
        47. Austrian R,Gold J.Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia.Arch Intern Med.1964;60:759776.
        48. Fine MJ,Smith MA,Carson CA, et al.Prognosis and outcomes of patients with community‐acquired pneumonia. A meta‐analysis.JAMA.1996;275:134141.
        49. Ramirez JA,Bordon J.Early switch from intravenous to oral antibiotics in hospitalized patients with bacteremic community‐acquired Streptococcus pneumoniae pneumonia.Arch Intern Med.2001;161:848850.
        50. Cleveland Clinic patient price information list. Available at:http://cms.clevelandclinic.org/documents/CCMain_HB197_2007.pdf. Accessed January2008.
        51. Zwang O,Albert RK.Analysis of strategies to improve cost effectiveness of blood cultures.J Hosp Med.2006;1:272276.
        52. Bates DW,Goldman L,Lee TH.Contaminant blood cultures and resource utilization. The true consequences of false‐positive results.JAMA.1991;265:365369.
        53. Fine JM,Fine MJ,Galusha D,Petrillo M,Meehan TP.Patient and hospital characteristics associated with recommended processes of care for elderly patients hospitalized with pneumonia: results from the Medicare quality indicator system pneumonia module.Arch Intern Med.2002;162:827833.
        54. Dedier J,Singer DE,Chang Y,Moore M,Atlas SJ.Processes of care, illness severity, and outcomes in the management of community‐acquired pneumonia at academic hospitals.Arch Intern Med.2001;161:20992104.
        55. Arbo MD,Snydman DR.Influence of blood culture results on antibiotic choice in the treatment of bacteremia.Arch Intern Med.1994;154:26412645.
        References
        1. Bartlett JG,Dowell SF,Mandell LA,File TM,Musher DM,Fine MJ.Practice guidelines for the management of community‐acquired pneumonia in adults. Infectious diseases society of America.Clin Infect Dis.2000;31:347382.
        2. Mandell LA,Marrie TJ,Grossman RF,Chow AW,Hyland RH.Canadian guidelines for the initial management of community‐acquired pneumonia: an evidence‐based update by the Canadian infectious diseases society and the Canadian thoracic society. The Canadian community‐acquired pneumonia working group.Clin Infect Dis.2000;31:383421.
        3. Niederman MS,Mandell LA,Anzueto A, et al.Guidelines for the management of adults with community‐acquired pneumonia. Diagnosis, assessment of severity, antimicrobial therapy, and prevention.Am J Respir Crit Care Med.2001;163:17301754.
        4. Meehan TP,Fine MJ,Krumholz HM, et al.Quality of care, process, and outcomes in elderly patients with pneumonia.JAMA.1997;278:20802084.
        5. Hospital quality initiative, overview, centers for Medicare and Medicaid services. Available at: http://www.cms.hhs.gov/HospitalQualityInits. Accessed September2007.
        6. Specifications manual for national hospital quality measures, version 2.3b. Available at: http://www.jointcommission.org/PerformanceMeasurement/PerformanceMeasurement/Current+NHQM+Manual.htm. Accessed October2007.
        7. Metersky ML,Ma A,Bratzler DW,Houck PM.Predicting bacteremia in patients with community‐acquired pneumonia.Am J Respir Crit Care Med.2004;169:342347.
        8. Walls RM,Resnick J.The joint commission on accreditation of healthcare organizations and center for Medicare and Medicaid services community‐acquired pneumonia initiative: what went wrong?Ann Emerg Med.2005;46:409411.
        9. Luna CM.Blood cultures in community‐acquired pneumonia: Are we ready to quit?Chest.2003;123:977978.
        10. Craven DE.Blood cultures for community‐acquired pneumonia: piecing together a mosaic for doing less.Am J Respir Crit Care Med.2004;169:327328.
        11. Campbell SG,Marrie TJ,Anstey R,Dickinson G,Ackroyd‐Stolarz S.The contribution of blood cultures to the clinical management of adult patients admitted to the hospital with community‐acquired pneumonia: a prospective observational study.Chest.2003;123:11421150.
        12. Mandell LA,Wunderink RG,Anzueto A, et al.Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community‐acquired pneumonia in adults.Clin Infect Dis.2007;44 (Suppl 2):S27S72.
        13. Ewig S,Bauer T,Hasper E,Marklein G,Kubini R,Luderitz B.Value of routine microbial investigation in community‐acquired pneumonia treated in a tertiary care center.Respiration.1996;63:164169.
        14. Benenson RS,Kepner AM,Pyle DN,Cavanaugh S.Selective use of blood cultures in emergency department pneumonia patients.J Emerg Med.2007;33:18.
        15. Chalasani NP,Valdecanas MA,Gopal AK,McGowan JE,Jurado RL.Clinical utility of blood cultures in adult patients with community‐acquired pneumonia without defined underlying risks.Chest.1995;108:932936.
        16. Chang NN,Murray CK,Houck PM,Bratzler DW,Greenway C,Guglielmo BJ.Blood culture and susceptibility results and allergy history do not influence fluoroquinolone use in the treatment of community‐acquired pneumonia.Pharmacotherapy.2005;25:5966.
        17. Corbo J,Friedman B,Bijur P,Gallagher EJ.Limited usefulness of initial blood cultures in community acquired pneumonia.Emerg Med J.2004;21:446448.
        18. Glerant JC,Hellmuth D,Schmit JL,Ducroix JP,Jounieaux V.Utility of blood cultures in community‐acquired pneumonia requiring hospitalization: Influence of antibiotic treatment before admission.Respir Med.1999;93:208212.
        19. Kelly AM.Clinical impact of blood cultures taken in the emergency department.J Accid Emerg Med.1998;15:254256.
        20. Kennedy M,Bates DW,Wright SB,Ruiz R,Wolfe RE,Shapiro NI.Do emergency department blood cultures change practice in patients with pneumonia?Ann Emerg Med.2005;46:393400.
        21. Mountain D,Bailey PM,O'Brien D,Jelinek GA.Blood cultures ordered in the adult emergency department are rarely useful.Eur J Emerg Med.2006;13:7679.
        22. Ramanujam P,Rathlev NK.Blood cultures do not change management in hospitalized patients with community‐acquired pneumonia.Acad Emerg Med.2006;13:740745.
        23. Sanyal S,Smith PR,Saha AC,Gupta S,Berkowitz L,Homel P.Initial microbiologic studies did not affect outcome in adults hospitalized with community‐acquired pneumonia.Am J Respir Crit Care Med.1999;160:346348.
        24. Theerthakarai R,El‐Halees W,Ismail M,Solis RA,Khan MA.Nonvalue of the initial microbiological studies in the management of nonsevere community‐acquired pneumonia.Chest.2001;119:181184.
        25. Waterer GW,Jennings SG,Wunderink RG.The impact of blood cultures on antibiotic therapy in pneumococcal pneumonia.Chest.1999;116:12781281.
        26. Waterer GW,Wunderink RG.The influence of the severity of community‐acquired pneumonia on the usefulness of blood cultures.Respir Med.2001;95:7882.
        27. Woodhead MA,Arrowsmith J,Chamberlain‐Webber R,Wooding S,Williams I.The value of routine microbial investigation in community‐acquired pneumonia.Respir Med.1991;85:313317.
        28. Lim WS,Macfarlane JT,Boswell TC, et al.Study of community acquired pneumonia aetiology (scapa) in adults admitted to hospital: implications for management guidelines.Thorax.2001;56:296301.
        29. Apisarnthanarak A,Mundy LM.Etiology of community‐acquired pneumonia.Clin Chest Med.2005;26:4755.
        30. Imran MN,Leng PH,Yang S,Kurup A,Eng P.Early predictors of mortality in pneumococcal bacteraemia.Ann Acad Med Singapore.2005;34:426431.
        31. Winston LG,Perlman JL,Rose DA,Gerberding JL.Penicillin‐nonsusceptible Streptococcus pneumoniae at San Francisco general hospital.Clin Infect Dis.1999;29:580585.
        32. Craig WA.Pharmacokinetic/pharmacodynamic parameters: Rationale for antibacterial dosing of mice and men.Clin Infect Dis.1998;26:110; quiz 11–12.
        33. Siegel RE.The significance of serum vs tissue levels of antibiotics in the treatment of penicillin‐resistant Streptococcus pneumoniae and community‐acquired pneumonia: are we looking in the wrong place?Chest.1999;116:535538.
        34. Ewig S,Ruiz M,Torres A, et al.Pneumonia acquired in the community through drug‐resistant Streptococcus pneumoniae.Am J Respir Crit Care Med.1999;159:18351842.
        35. Pallares R,Capdevila O,Linares J, et al.The effect of cephalosporin resistance on mortality in adult patients with nonmeningeal systemic pneumococcal infections.Am J Med.2002;113:120126.
        36. Pallares R,Linares J,Vadillo M, et al.Resistance to penicillin and cephalosporin and mortality from severe pneumococcal pneumonia in Barcelona, Spain.N Engl J Med.1995;333:474480.
        37. Yu VL,Chiou CCC,Feldman C, et al.An international prospective study of pneumococcal bacteremia: correlation with in vitro resistance, antibiotics administered, and clinical outcome.Clin Infect Dis.2003;37:230237.
        38. Master RN,Draghi DC,Jones ME,Thornsberry C,Sahm DF,Karlowsky JA.Tracking the implementation of NCCLS m100‐s12 expanded‐spectrum cephalosporin MIC breakpoints for non‐meningeal isolates of Streptococcus pneumoniae by clinical laboratories in the united states during 2002 and 2003.Ann Clin Microbiol Antimicrob.2004;3:1.
        39. Lieberman D,Schlaeffer F,Boldur I, et al.Multiple pathogens in adult patients admitted with community‐acquired pneumonia: a one year prospective study of 346 consecutive patients.Thorax.1996;51:179184.
        40. Oosterheert JJ,Bonten MJM,Hak E,Schneider MME,Hoepelman IM.How good is the evidence for the recommended empirical antimicrobial treatment of patients hospitalized because of community‐acquired pneumonia? A systematic review.J Antimicrob Chemother.2003;52:555563.
        41. Shefet D,Robenshtok E,Paul M,Leibovici L.Empirical atypical coverage for inpatients with community‐acquired pneumonia: systematic review of randomized controlled trials.Arch Intern Med.2005;165:19922000.
        42. Frei CR,Restrepo MI,Mortensen EM,Burgess DS.Impact of guideline‐concordant empiric antibiotic therapy in community‐acquired pneumonia.Am J Med.2006;119:865871.
        43. Baddour LM,Yu VL,Klugman KP, et al.Combination antibiotic therapy lowers mortality among severely ill patients with pneumococcal bacteremia [see comment].Am J Respir Crit Care Med.2004;170:440444.
        44. Martinez JA,Horcajada JP,Almela M, et al.Addition of a macrolide to a beta‐lactam‐based empirical antibiotic regimen is associated with lower in‐hospital mortality for patients with bacteremic pneumococcal pneumonia. [see comment].Clin Infect Dis.2003;36:389395.
        45. Waterer GW,Somes GW,Wunderink RG.Monotherapy may be suboptimal for severe bacteremic pneumococcal pneumonia.Arch Intern Med.2001;161:18371842.
        46. Weiss K,Low DE,Cortes L, et al.Clinical characteristics at initial presentation and impact of dual therapy on the outcome of bacteremic Streptococcus pneumoniae pneumonia in adults.Can Respir J.2004;11:589593.
        47. Austrian R,Gold J.Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia.Arch Intern Med.1964;60:759776.
        48. Fine MJ,Smith MA,Carson CA, et al.Prognosis and outcomes of patients with community‐acquired pneumonia. A meta‐analysis.JAMA.1996;275:134141.
        49. Ramirez JA,Bordon J.Early switch from intravenous to oral antibiotics in hospitalized patients with bacteremic community‐acquired Streptococcus pneumoniae pneumonia.Arch Intern Med.2001;161:848850.
        50. Cleveland Clinic patient price information list. Available at:http://cms.clevelandclinic.org/documents/CCMain_HB197_2007.pdf. Accessed January2008.
        51. Zwang O,Albert RK.Analysis of strategies to improve cost effectiveness of blood cultures.J Hosp Med.2006;1:272276.
        52. Bates DW,Goldman L,Lee TH.Contaminant blood cultures and resource utilization. The true consequences of false‐positive results.JAMA.1991;265:365369.
        53. Fine JM,Fine MJ,Galusha D,Petrillo M,Meehan TP.Patient and hospital characteristics associated with recommended processes of care for elderly patients hospitalized with pneumonia: results from the Medicare quality indicator system pneumonia module.Arch Intern Med.2002;162:827833.
        54. Dedier J,Singer DE,Chang Y,Moore M,Atlas SJ.Processes of care, illness severity, and outcomes in the management of community‐acquired pneumonia at academic hospitals.Arch Intern Med.2001;161:20992104.
        55. Arbo MD,Snydman DR.Influence of blood culture results on antibiotic choice in the treatment of bacteremia.Arch Intern Med.1994;154:26412645.
        Issue
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        Blood cultures for community‐acquired pneumonia: Are they worthy of two quality measures? A systematic review
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        Blood cultures for community‐acquired pneumonia: Are they worthy of two quality measures? A systematic review
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        Adverse Effects to Antibiotics in Pheumonia

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        Incidence and impact of adverse effects to antibiotics in hospitalized adults with pneumonia

        Adverse drug eventsdefined as an injury resulting from medical intervention related to a drug1significantly contribute to health care expenditures. Over 770,000 people are injured or die every year in hospitals from adverse drug events, and national hospital expenses to treat patients who have suffered adverse drug events during hospitalization have been estimated to be between $1.56 and $4.2 billion annually.2 In a meta‐analysis of prospective studies, researchers found that adverse drug reactions, one important form of adverse drug events, may rank as the fourth to sixth leading cause of death in the United States, with more than 100,000 deaths per year.3 Understanding the factors associated with these adverse events may help in the development of prevention strategies, with resulting improving health care quality and lowering health care costs.

        Among hospitalized patients, antibacterial adverse effects may account for approximately 25% of adverse drug reactions.1, 4 While the economic impact has been studied for overall adverse drug events in hospitalized patients in the 1990s, more recent detailed studies for the impact of antibiotic‐related adverse drug effects have not been published. As hospitalized patients with the primary diagnosis of pneumonia are invariably treated with antibiotics, and since pneumonia is the third leading cause for hospitalization in the United States,5 hospitalization databases that document pneumonia hospitalizations as well as adverse effects from antibiotics, using specific International Classification of Diseases, Ninth Revision (ICD‐9) clinical modification codes, constitute a unique and rich resource for quantifying and analyzing the incidence and impact of antibiotic‐associated adverse drug effects.

        The purpose of this study was to describe the incidence and clinical manifestations of adverse drug effects in pneumonia hospitalizations in recent years, and to determine the types of patients and comorbidities, which are most commonly associated with adverse drug effects. The term adverse drug effect refers more to known side effects of medications, whereas adverse drug events and adverse drug reactions refer to an injury or a noxious, unintended, and undesired effect resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, the broader classifications of adverse drug events or reactions could not be examined and instead the outcome of adverse drug effect was utilized.

        METHODS

        Data Sources

        The Statewide Planning and Research Cooperative System (SPARCS) database was accessed as previously described.7, 8 There is mandatory reporting to this database for all New York State acute care hospitalizations. Each deidentified SPARCS admission record contains more than 100 data fields9 that consist of demographic, clinical, and financial information. These fields include principal and nonprincipal diagnostic fields, procedure codes, race, age, gender, and ethnicity information, hospital characteristics, expected reimbursement, total charges, length of stay (LOS), admission status, and disposition status. Both ICD‐9 and Common Procedural Terminology (CPT) codes are input for each admission.

        The Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP), contains annual hospital discharge data from a sample of US hospitals.10 Each NIS patient record includes data fields consisting of demographic, clinical, and financial information. These fields include primary and secondary diagnostic fields, procedure codes, age, gender, race, total charges, length of stay, payer codes, hospital characteristics, and disposition status. Twenty percent random subsamples from each year's sample were employed to perform the analyses. HCUP databases include appropriately‐scaled discharge weights to generate national estimates of hospitalizations and total charges from the NIS. These weights allow comparison of incidence rates and charges across years despite a varying number of states and hospitals included in the database each year.

        This study was given an exemption from institutional research board approval by the SVCMC Integrated Scientific and Ethical Review Board.

        Identification of Pneumonia Admissions

        To achieve more uniformity in the cohorts, it was decided to select only hospitalizations with the most common ICD‐9 and diagnosis‐related group (DRG) codes for pneumonia for more recent years. ICD‐9 and DRG codes have been used to identify pneumonia patients in administrative data, and cases selected in this manner show excellent specificity when compared to a reference standard.11 Hospitalization discharges from both databases from 2000 through 2005 were selected with the criterion of having the principal diagnosis of ICD‐9 code 486 (pneumonia, organism unspecified) and the DRG of 89 (simple pneumonia and pleurisy, age >17 years, with complication and comorbidity), thus targeting community acquired pneumonia. These hospitalizations formed the 2 cohorts of pneumonia hospitalizations. Preliminary analyses showed that hospitalizations identified by these criteria identified more than 60% of pneumonia admissions defined by a more expansive criteria11 of having any of the DRG codes 79 (respiratory infections and inflammations, age >17 years, with complications and comorbidity), 80 (respiratory infections and inflammations, age >17 years, without complications and comorbidity), 89 and 90 (simple pneumonia and pleurisy, age >17 years, without complication and comorbidity). Gram‐negative pneumonia, aspiration pneumonia, and pneumonias due to other specific infectious agents were not targeted in this study.

        Data Classifications

        The state and national cohorts were queried for the presence of adverse effects due to various antibiotics and anti‐infectives, using specific ICD‐9 external cause of injury codes (e‐codes) including e930 and e931. E‐codes were developed as a supplemental code for use with the ICD and they provide a systematic way to classify diagnostic information that health care providers have entered into the medical record. E‐codes have been shown to be useful and sensitive in detecting medical injuries due to drugs (including antibiotics) in hospital discharge data.12 On the basis of frequency of observed adverse drug effects (as detected by e‐codes), an adverse drug effect due to an anti‐infective or antibiotic was defined as that which was due to penicillins (E930.0), erythromycin and other macrolides (E930.3), tetracyclines (E930.5), cephalosporins (E930.5), sulfonamides (E931.0), quinolones (E931.3), other specified antibiotics (E930.9), other unspecified antibiotics (E931.9), or antimycobacterials (E931.8 and E930.6). Adverse drug effects due to other anti‐infectives were not included due to extremely low incidence and unlikely clinical usage in pneumonia. National estimates of the number of patients experiencing an adverse drug effect were determined using discharge weights to adjust for subset sample size.

        The ICD‐9 codes for possible skin and allergy manifestations commonly associated with adverse drug effects were examined in patients with and without adverse drug effects as defined previously. The ICD‐9 codes for skin/allergy manifestations that were considered as possibly due to adverse drug effects included erythema, not otherwise specified (695.9), flushing (782.62), Stevens‐Johnson syndrome (695.1), allergic purpura (287.0), dermatitis due to drugs and medications taken internally (693.0), angioedema (995.1), unspecified allergy, (995.3), anaphylaxis not otherwise specified (NOS) (999.5), and urticaria (708). Gastrointestinal (GI) manifestations considered as possibly due to an adverse drug effect included nausea (787.02), vomiting (787.03), nausea with vomiting (787.01), diarrhea, not otherwise specified (787.91), diarrhea, other and unspecified noninfectious gastroenteritis and colitis (558.9), or intestinal infection due to Clostridium difficile (008.45).

        Statistical Analysis

        Analyses were performed using JMP version 5.1 and SAS for Windows version 9 (SAS Institute, Cary, NC). In linear regression models, principal outcomes of length of stay and total hospital charges were logarithmically transformed, as this data transformation reduces the influence of outliers.13 Cases with a length of stay less than 1 day were considered to have a 23‐hour LOS, to enable logarithmic transformation. Linear regression models were created to assess the impact of adverse drug effects due to antibiotics on length of stay and total charge. Linear regression models have been shown to be useful in identifying factors associated with increased hospital charges.13 Adjusting factors that were considered in multivariate models included comorbid conditions and demographic factors. Only common comorbidities that were present in greater than 5% of cases were considered and included cancer (140 through 208), congestive heart failure (428), ischemic heart disease (410414), chronic obstructive pulmonary disease (491, 492, 496), diabetes mellitus (250), hypertension (401), asthma (493), urinary tract infection (599.0), unspecified anemia (285.9), pleural effusion (511.9), cardiac dysrhythmia (427.31), volume depletion (276.5), unspecified acquired hypothyroidism (244.9), and hypoosmolality/hyponatremia (276.1). Demographic factors such as gender, race, age, year and month of admission, and day of admission were also considered in the model. The hospital where the admission occurred was used for New York State calculations. For the national data, the region and hospital characteristics but not the hospital identification number itself were considered since not all of the same hospitals were sampled each year. Finally, the governmental health insurance status (Medicare or Medicaid for both sets of data) was considered. Medicaid and Medicaid Health Maintenance Organization (HMO) as expected reimbursement categories were considered as a single group as were Medicare and Medicare HMO in the New York State database. All of these covariants were subject to forward stepwise selection for modeling adjustment purposes. The probability required for a covariant to enter the model was 0.250 and the probability at which a covariant was removed from the model was 0.100. These adjustment factors were held constant in adjusted models examining for the independent predictor effects of adverse drug reactions. To examine whether or not the presence of GI and/or skin manifestations commonly associated with adverse drug effects accounted for differences in LOS/charges, we examined whether or not adding the manifestations as a covariant would attenuate the predictor effect of the adverse drug effect.

        In order to make a practical assessment of the impact of adverse drug effects on LOS and hospital charges, we chose as an example patient a 70‐year‐old white female with a diagnosis of diabetes and hypertension, with Medicare.

        Logistic regression models were used to explore comorbid conditions and demographic features that were associated with adverse drug effects within the cohort. Forward stepwise regression was used using previously described entry/exit criteria. Odds ratios for individual predictor variables were adjusted for other significant predictor variables.

        All regression models were adjusted for sampling weights in national data analyses. The time trends (year effect) for the incidences of adverse drug effects were analyzed with the GENMOD procedure in SAS, with the negative binomial distribution option.14, 15

        RESULTS

        In the New York (SPARCS) database (NYS), 278,425 pneumonia admissions were identified. In HCUP‐NIS data subsets (NIS), 186,193 pneumonia admissions formed the cohort. In both cohorts, there was a predominance of females and older patients (Table 1). Diabetes and hypertension were common comorbidities. In the NYS cohort, 1,329 (0.48%) had an adverse effect related to an antibiotic or anti‐infective. In the NIS cohort, an estimated 0.53% had an adverse drug effect. There was a small but significant increase in the percentage of national hospitalizations associated with an antibiotic adverse drug effect over time (time effect significance; P = 0.0149; Table 1). However, this trend was not seen in the NYS cohort.

        General Characteristics of Regional and National Pneumonia Cohorts
        DatabaseSPARCSHCUP‐NIS
        • NOTE: HCUP‐NIS percentages, charges and age means are based on the calculated values for the entire country. n refers to actual number of cases in the New York cohort and the estimated cases in the national cohort.

        • Abbreviation: ADE, admissions with adverse drug effects from antibiotics as percentage of total cohort admissions.

        • Charges based on actual number of cases in the New York cohort and the estimated cases in the national cohort for the entire study period.

        Cohort years2000200520002005
        Cohort regionNew York StateUnited States
        Cohort size (identified cases)278,425186,193
        Estimated actual number (n) of cases for cohort region278,4254,547,108
        African American (%)12.87.6
        Females (%)53.854.4
        Medicare (%)72.972.8
        Mean age (years)72.571.4
        Diabetes mellitus (%)25.424.4
        Hypertension (%)41.239.0
        Death (%)6.84.7
        2000 ADE (%)/n0.44/2050.48/3372
        2001 ADE (%)/n0.47/2080.53/3797
        2002 ADE (%)/n0.49/2250.53/3985
        2003 ADE (%)/n0.48/2290.57/3564
        2004 ADE (%)/n0.52/2490.56/4250
        2005 ADE (%)/n0.46/2130.60/4979
        Total hospital charges*$4,815,100,411$70,285,286,226

        The most numerous adverse effects were noted in other specified antibiotics, followed by other unspecified antibiotics, then cephalosporins in both databases (Table 2). Cephalosporins accounted for 15% and 14% of cases with adverse drug effect due to antibiotics or anti‐infectives in the NYS and NIS cohorts, respectively. Adverse drug effects due to the penicillins and quinolones were similar in frequency and were the next most common identifiable classes of antibiotics with adverse drug effects after cephalosporins. Adverse effects to other specified antibiotics and unspecified antibiotics combined constituted 59% of adverse drug effects in both NYS and NIS cohorts.

        Profile of Types of Adverse Drug Reactions to Different Antibiotics in the Two Cohorts
        AntibioticNew York State (SPARCS)National Estimates (HCUP‐NIS)
        ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)
        • NOTE: Totals and percentages for national estimates are based on calculated values for the entire country.

        • Skin/allergy manifestations of adverse drug reactions.

        • Gastrointestinal manifestations of adverse drug reactions.

        Penicillins91758217814848471764
        Erythromycin/macrolides102828447116088195169
        Tetracyclines141507571821462773
        Cephalosporins19415602180268414551969
        Other specified antibiotics51239402967598630372962
        Other unspecified antibiotics27621225072576629164964
        Sulfonamide22264968298253760
        Quinolones94736185314798492065
        Antimycobacterials42338286064027027
        ADE due to any of the above132910043317219740100343365

        Hospitalizations associated with an adverse drug effect had higher proportions of women than hospitalizations without an adverse drug effect in both the NIS (65% versus 54%) and NYS (62% versus 54%) databases. Hospitalizations associated with an adverse drug effect had a mean age that was about 1 year younger than that observed in hospitalizations without an adverse drug effect in both databases. Congestive heart failure was present in a lower proportion of hospitalizations associated with an adverse drug effect compared to hospitalizations without adverse drug effects (NYS 27% versus 30%, NIS 25% versus 29%). In the NIS database, adverse drug effect associated hospitalizations had a lower proportion of chronic obstructive pulmonary disease than other hospitalizations (32% versus 40%). Neither database showed any adverse drug effect associated disproportion with regard to hypertension and diabetes mellitus.

        In logistic regression modeling, significant predictors for an adverse drug effect included non‐African American race, older age, female gender, not having Medicaid, and residence outside the greater NY area (only in the NYS data). Non‐African‐Americans were more likely than African‐Americans to have adverse drug effect admissions (adjusted odds ratio for NYS 2.2, 95% CI, 1.72.8; and for NIS 2.1, 95% CI, 1.63.0). Females were more likely than males to be associated with adverse drug effect admissions (adjusted odds ratio for NYS 1.5, 95% CI, 1.31.6; and for NIS 1.6, 95% CI, 1.41.8). In addition, residence outside the greater NY area was associated with adverse drug effect associated admissions (adjusted odds ratio 2.1, 95% CI, 1.82.3) in NYS data.

        Skin and allergy manifestations potentially associated with adverse drug effects were reported in 34% and 43% of the NIS and NYS cohorts, respectively. In comparison, less than 1% of non‐adverse drug effect admissions had these manifestations (Table 3) in either cohort. In NYS, adverse drug effects due to sulfonamides had a slightly higher proportion skin/allergy manifestations when compared with other antibiotic classes (Table 2). In contrast, NIS estimates show that adverse effects due to cephalosporins had the highest proportion of skin/allergy manifestations (Table 2). Compared to adverse drug effects due to other specified antibiotics, erythromycin/macrolides were more likely to present with GI manifestations in both databases (Table 2). Dermatitis due to drugs taken internally was coded for in 34% (NYS) and 26% (NIS) of patients that experienced an adverse drug effect, making this condition the most common skin/allergy manifestation associated with an adverse drug effect (Table 3). This was followed in frequency by urticaria and pruritus. Diarrhea was also a common symptom related to adverse drug effects (Table 3). While 72% of adverse drug effects had either GI or skin/allergy manifestations in the NYS cohort, only 65% of the NIS cohort had these manifestations reported. No increase in mortality was observed in patients with adverse drug effects compared to those without adverse drug effects (data not shown).

        Proportion of Clinical Manifestations Observed in Cohort Patients with and without Antibiotic Adverse Drug Effects
        Clinical ManifestationNew York State SPARCSNational Estimates HCUP‐NIS
        No Adverse Effect (%)Adverse Effect (%)No Adverse Effect (%)Adverse Effect (%)
        Dermatitis due to drugs taken internally0.134.10.125.9
        Pruritus0.13.50.13
        Urticaria0.04.00.03.6
        Erythema0.00.20.00.2
        Angioedema0.00.80.00.7
        Stevens‐Johnson syndrome0.00.30.00.2
        Anaphylaxis0.00.90.00.2
        Allergy, unspecified0.00.20.00.7
        Nausea and/or vomiting0.66.30.97.4
        Diarrhea, nonspecified or due to C. difficile3.526.53.125.5

        Both databases showed that adverse drug effects affected both LOS and total charges (Table 4). In the NIS database, adjusted models showed that GI manifestations impacted hospital charges more than skin/allergy manifestations (Table 4). In both the NYS and NIS cohorts, the effect of adverse drug effects on hospital charges was attenuated after accounting for skin/allergy and GI manifestations. However, even after accounting for both manifestations, there still was a significant adverse drug effect influence on LOS. In the example patient, predicted excess hospitalization charges associated with the presence of an adverse drug effect was $1,243 and $3,373 for the NIS and NYS cohorts, while LOS increases associated with an adverse drug effect were about 1 day in both cohorts. Linear regression models, which included adjustment factors including comorbidities and demographic/financial factors, showed that the models accounted for 13% of the variance (R2 values) in LOS and 40% in charges for the NYS but only 7% for LOS and 15% for charges for the NIS.

        Models Relating Antibiotic Adverse Effects to Hospital Charge and Length of Stay
         Example* Admission without ADEExample* Admission with ADEP Value for ADE coefficient when Added to Model
        • NOTE: NYS LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital, year, month, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism, and hyponatremia. National LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital size, census region, teaching hospital status, hospital ownership class, rural location, year, month, day, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism (not in LOS model), asthma, and hyponatremia.

        • Abbreviation: ADE, adverse drug effect.

        • NYS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in December 2004 at St. Vincent's Hospital, Staten Island. NIS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in June 2004 in the Western region at a large teaching nonrural hospital on a non‐weekend day.

        • P value for analysis of variance (ANOVA) F‐test testing for the null hypothesis that the ADE factor's coefficient = 0, main effects general linear model.

        • GI manifestations include nausea, vomiting, or diarrhea (unspecified or due to C. difficile).

        • Skin/allergy manifestations include pruritus, anaphylaxis, angioedema, erythema, allergy NOS, urticaria, Stevens‐Johnson syndrome, and dermatitis due to medication taken internally.

        SPARCS   
        Hospital charge   
        Simple unadjusted model$12,274$13,0450.007
        Adjusted model for comorbidities and demographics$14,160$17,533<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$18,865$21,560<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$16,777$19,370<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$23,227$24,2750.0227
        LOS (days)   
        Simple unadjusted model5.46.7<0.0001
        Adjusted model for comorbidities and demographics4.05.2<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations5.46.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.85.8<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations6.87.4<0.0001
        HCUP   
        Hospital charge   
        Simple unadjusted model$10,840$11,9170.0008
        Adjusted model for comorbidities and demographics$12,941$14,284<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$14,923$15,7810.0208
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$13,543$14,7230.0092
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$15,887$16,4530.1784
        LOS (days)   
        Simple unadjusted model4.45.1<0.0001
        Adjusted model for comorbidities and demographics4.04.9<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations4.85.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.04.7<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations5.35.9<0.0001

        DISCUSSION

        This study documents antibiotic related adverse drug effects as a predictable, but infrequent complication that occurs in adult patients hospitalized for pneumonia. While the incidence of antibiotic‐related adverse drug events has been calculated in both hospital2 and nursing home16 populations, these studies have not specified admissions that were associated with antibiotic use. Thus calculations of antibiotic adverse drug events for actual at‐risk patients (ie, those receiving antibiotics) are imprecise in these reports. In the present study, it is highly probable that nearly all admissions were associated with actual antibiotic administration. Thus, a rough incidence of an identifiable antibiotic adverse drug effect for adult pneumonia admissions can be expected to be roughly 0.5%. Of interest is the observation that the national incidence of this complication appears to be increasing slightly but steadily in recent years. This could be explained on the basis of increased coding slots or DRG creep17 in more recent years with the national cohort. Layde et al.12 utilized e‐codes to identify medical injury due to medications in Wisconsin hospital discharge data (excluding newborn delivery discharges), unselected for infectious diseases. They calculated an overall 0.5% incidence of antibiotic‐associated adverse effects. Since not all hospitalizations are associated with antibiotic administration, this would imply that the incidence of antibiotic associated adverse effects in hospitalized patients actually given antibiotics would be higher than 0.5%. The relatively low incidence of antibiotic‐associated adverse effects observed in the present study may relate to briefer and less complex hospitalizations for these patients compared with other patients treated with antibiotics. The use of ICD‐9 codes (including e‐codes) as flags of adverse drug events may also underestimate actual rates. In a study of Utah hospitalization discharges in 2001, Hougland et al.18 found that these flags had a sensitivity of 55% for confirmed adverse drug events of various categories. This contrasts with the 98.5% sensitivity of e‐codes to identify medical injury due to drugs, described in the Wisconsin hospital discharge data. The distinction between adverse drug effects, adverse drug reactions, and adverse drug events may be important in understanding these data. Adverse drug reactions have been defined as any noxious, unintended, and undesired effect of a drug, which occurs at doses used in humans for prophylaxis, diagnosis, or therapy and can be considered a subset of adverse drug events, which, unlike adverse drug reactions, may also be due to drug administration errors.6 The term adverse drug effect has been used more in pharmacology literature4 and in medical coding,18 and may refer more to known side effects of medications, whereas adverse drug events have been broadly defined as an injury resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, we used the term adverse drug effect for all results.

        Determining factors that influence hospital charges and length of stay are complex. Regional differences19 may be 1 factor, as suggested by difference in charges for the example admission models (Table 4). The multivariate analyses showed that nearly 40% of the variation in total New York State hospitalization charges could be explained on the basis of demographic, comorbidity factors, and between hospital variation, with an additional independent effect identifiable in the presence of an adverse drug effect to an antibiotic. The explained variance in the New York State hospitalization charges exceeds that observed in other published clinical predictor models of hospital charges based on statewide or province‐wide discharge databases.12, 20, 21 Although less variability was explained in national models, independent adverse drug effects influence on both total charge and length of stay were also observed. Higher charges with adverse drug effect associated admissions could be explained in part by increased illness severity, leading to more hospital days, and thus higher charges in per diem reimbursement schemes. In DRG‐based reimbursements, adverse drug effect presence in an admission, with its attendant increased length of stay, could be considered an outlier case, in which case an increased inpatient prospective payment system (IPPS) payment would be authorized in addition to the base payment.22

        Because the impact of adverse drug effects on length of stay was still present even after controlling for both skin/allergy and GI manifestations, this may suggest that other factors relating to the adverse drug effects may have influenced LOS. These factors might include physician reluctance to discharge these patients or the influence of other organ systems not accounted for or reported in this study. The attenuation of the adverse drug effect's influence on hospital charge models by including possible clinical manifestations of adverse drug effects suggests that these manifestations were the main contributors to higher charges associated with adverse drug effect admissions. These disparate findings regarding adverse drug effects on LOS versus charges are consistent with the notion that hospital LOS and hospital charge are separate constructs, which may be associated with separate factors affecting these outcomes.23 The 13% variation in LOS explained in the New York state hospitalization regression models was similar to the 14% variation in LOS observed in clinical predictor models for congestive heart failure hospitalizations in New York state.24 Layde et al.12 found a 14.5% and 18.5% adjusted increase in charges and LOS associated with any medical injury in Wisconsin hospital discharges. The excess length of stay due to antibiotic related medical injury was 1.27 days. This magnitude of effect is comparable to that observed in the present study.

        There are a number of limitations in this study related to coding practices and the retrospective nature of the investigation. Currently, there are no ICD‐9 e‐codes for adverse effects due to commonly used older antibiotics such as vancomycin, clindamycin, and metronidazole, or to the newer antibiotic classes. Since currently recommended treatments for community‐acquired pneumonia25 are among the specified drugs with adverse effect coding, and since other specified and unspecified anti‐infective drug‐associated (no drug names or categories provided) adverse effects were frequent, it suggests that infectious processes other than community‐acquired pneumonia were also being treated in many hospitalizations. Another limitation is that because the temporal sequence of events cannot be ascertained with this data, it is possible that an adverse drug effect was due to an antibiotic given prior to hospitalization. It has been suggested that onset of diagnosis or present on admission information be part of a new administrative data coding strategy which has been used in some states in the US.19 The adoption of ICD‐10 codes may allow for more specificity and detailing of adverse drug reactions using administrative data, as described for the United Kingdom by Waller et al.26 The actual incidence of hospitalization‐associated adverse drug effects could be underestimated if a significant number of adverse effects occurred after discharge as only in‐hospital events were recorded.

        In summary, we found that although the incidence of adverse drug effects is small, there is a definite quantifiable impact of these adverse effects on LOS and hospital charges in patients hospitalized with pneumonia. To our knowledge, there have not been similar large‐scale database studies to evaluate the incidence and impact of adverse drug effects related to antibiotics in both national and statewide samples. These findings also have implications in studies of outcomes related to pneumonia hospitalizations.

        Acknowledgements

        The authors thank Ariel D. Teitel, MD, for his assistance. This study was supported in part by the intramural scholarship program at New York Medical College.

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        1. Bates DW,Cullen DJ,Laird N, et al.Incidence of adverse drug events and potential adverse drug events: implications for prevention.JAMA.1995;274:2934.
        2. Classen DC,Pestotnik SL,Evans RS, et al.Adverse drug events in hospitalized patients.JAMA.1997;277:301306.
        3. Lazarou J,Pomeranz BH,Corey PN.Incidence of adverse drug reactions in hospitalized patients.JAMA.1998;279:12001205.
        4. Beringer PM,Wong‐Beringer A,Rho JP.Economic aspects of antibacterial adverse effects.Pharmacoeconomics.1998;13:3549.
        5. Popovic JR,Hall MJ.1999National Hospital Discharge Survey. Advance data from vital and health statistics; no 319.Hyattsville, MD:National Center for Health Statistics;year="2001"2001.
        6. Lazarou J,Pomeranz BH,Corey PN.Incidence of adverse drug reactions in hospitalized patients: a meta‐analysis of prospective studies.JAMA.1998;279:12001205.
        7. Lin RY,Pitt MD,Lou WYW,Yi Q.Asthma hospitalization patterns in young children relating to admission age, infection presence, sex, and race.Ann Allergy Asthma Immunol.2007;98:139145.
        8. Lin RY,Cannon AG,Teitel AD.Pattern of hospitalizations for angioedema in New York between 1990 and 2003.Ann Allergy Asthma Immunol.2005;95:159166.
        9. Inpatient Output Data Dictionary, SPARCS. Available at: http://www.health.state.ny.us/statistics/sparcs/inpat.htm. Accessed October2008.
        10. Agency for Healthcare Research and Quality.The HCUP Nationwide Inpatient Sample (NIS).Rockville, MD:Agency for Healthcare Research and Quality;2004.
        11. Aronsky D,Haug PJ,Lagor C,Dean NC.Accuracy of administrative data for identifying patients with pneumonia.Am J Med Qual.2005;20:319328.
        12. Layde PM,Meurer LM,Guse C, et al.Medical injury identification using hospital discharge data.Advances in Patient Safety. Vol2.Rockville, MD:Agency for Healthcare Research and Quality;2007. Available at: http://www.ahrq.gov/downloads/pub/advances/vol2/Layde.pdf. Accessed October 2008.
        13. Austin PC,Ghali WA,Tu JV.A comparison of several regression models for analyzing cost of CABG surgery.Stat Med.2003;22:27992815.
        14. University of Kentucky. Poisson and negative binomial regressions. Available at: http://www.uky.edu/ComputingCenter/SSTARS. Accessed October2008.
        15. Gardner W,Mulve EP,Shaw EC.Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models.Psychol Bull.1995;118;392404.
        16. Gurwitz JH,Field TS,Avorn J, et al.Incidence and preventability of adverse drug events in nursing homes.Am J Med.2000;1;109:87–94.
        17. Zhan C,Miller MR.Administrative data based patient safety research: a critical review.Qual Saf Health Care.2003;12(Suppl 2):ii58ii63.
        18. Hougland P,Xu W,Pickard S, et al.Performance of International Classification of Diseases, 9th Revision, Clinical Modification codes as an adverse drug event surveillance system.Med Care.2006;44:629636.
        19. Pelletier AJ,Mansbach JN,Camargo CA.Direct medical costs of bronchiolitis hospitalizations in the United States.Pediatrics Dec.2006;118:24182423.
        20. Shahian DM,Heatley GJ,Westcott GA.Relationship of hospital size, case volume, and cost for coronary artery bypass surgery: analysis of 12,774 patients operated on in Massachusetts during fiscal years 1995 and 1996.J Thorac Cardiovasc Surg.2001;122:5364.
        21. Elixhauser A,Steiner C,Harris DR,Coffey RM.Comorbidity measures for use with administrative data.Med Care.1998;36:827.
        22. Health and Human Services. Centers for Medicaid and Medicare Services (CMS) Home. Medicare. Acute Inpatient PPS. Overview. Available at: http://www.cms.hhs.gov/AcuteInpatientPPS. Accessed October2008.
        23. Ghali WA,Hall RE,Ash AS,Moskowitz MA.Identifying pre‐ and postoperative predictors of cost and length of stay for coronary artery bypass surgery.Am J Med Qual.1999:14:248254.
        24. Polanczyk CA,Lane A,Coburn M, et al.Hospital outcomes in major teaching, minor teaching, and nonteaching hospitals in New York state.Am J Med.2002;112:255261.
        25. Mandell LA,Wunderink RG,Anzueto A, et al.Infectious Disease Society/American Thoracic Society Consensus Guidelines on the Management of Community‐Acquired Pneumonia in Adults.Clin Infect Dis.2007;44:S27S72.
        26. Waller P,Shaw M,Ho D,Shakir S,Ebrahim S.Hospital admissions for ‘drug‐induced’ disorders in England: a study using the Hospital Episodes Statistics (HES) database.Br J Clin Pharmacol.2005;59:213219.
        Article PDF
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        E7-E15
        Legacy Keywords
        adverse effects, antibiotics, hospitalization, pneumonia
        Sections
        Article PDF
        Article PDF

        Adverse drug eventsdefined as an injury resulting from medical intervention related to a drug1significantly contribute to health care expenditures. Over 770,000 people are injured or die every year in hospitals from adverse drug events, and national hospital expenses to treat patients who have suffered adverse drug events during hospitalization have been estimated to be between $1.56 and $4.2 billion annually.2 In a meta‐analysis of prospective studies, researchers found that adverse drug reactions, one important form of adverse drug events, may rank as the fourth to sixth leading cause of death in the United States, with more than 100,000 deaths per year.3 Understanding the factors associated with these adverse events may help in the development of prevention strategies, with resulting improving health care quality and lowering health care costs.

        Among hospitalized patients, antibacterial adverse effects may account for approximately 25% of adverse drug reactions.1, 4 While the economic impact has been studied for overall adverse drug events in hospitalized patients in the 1990s, more recent detailed studies for the impact of antibiotic‐related adverse drug effects have not been published. As hospitalized patients with the primary diagnosis of pneumonia are invariably treated with antibiotics, and since pneumonia is the third leading cause for hospitalization in the United States,5 hospitalization databases that document pneumonia hospitalizations as well as adverse effects from antibiotics, using specific International Classification of Diseases, Ninth Revision (ICD‐9) clinical modification codes, constitute a unique and rich resource for quantifying and analyzing the incidence and impact of antibiotic‐associated adverse drug effects.

        The purpose of this study was to describe the incidence and clinical manifestations of adverse drug effects in pneumonia hospitalizations in recent years, and to determine the types of patients and comorbidities, which are most commonly associated with adverse drug effects. The term adverse drug effect refers more to known side effects of medications, whereas adverse drug events and adverse drug reactions refer to an injury or a noxious, unintended, and undesired effect resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, the broader classifications of adverse drug events or reactions could not be examined and instead the outcome of adverse drug effect was utilized.

        METHODS

        Data Sources

        The Statewide Planning and Research Cooperative System (SPARCS) database was accessed as previously described.7, 8 There is mandatory reporting to this database for all New York State acute care hospitalizations. Each deidentified SPARCS admission record contains more than 100 data fields9 that consist of demographic, clinical, and financial information. These fields include principal and nonprincipal diagnostic fields, procedure codes, race, age, gender, and ethnicity information, hospital characteristics, expected reimbursement, total charges, length of stay (LOS), admission status, and disposition status. Both ICD‐9 and Common Procedural Terminology (CPT) codes are input for each admission.

        The Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP), contains annual hospital discharge data from a sample of US hospitals.10 Each NIS patient record includes data fields consisting of demographic, clinical, and financial information. These fields include primary and secondary diagnostic fields, procedure codes, age, gender, race, total charges, length of stay, payer codes, hospital characteristics, and disposition status. Twenty percent random subsamples from each year's sample were employed to perform the analyses. HCUP databases include appropriately‐scaled discharge weights to generate national estimates of hospitalizations and total charges from the NIS. These weights allow comparison of incidence rates and charges across years despite a varying number of states and hospitals included in the database each year.

        This study was given an exemption from institutional research board approval by the SVCMC Integrated Scientific and Ethical Review Board.

        Identification of Pneumonia Admissions

        To achieve more uniformity in the cohorts, it was decided to select only hospitalizations with the most common ICD‐9 and diagnosis‐related group (DRG) codes for pneumonia for more recent years. ICD‐9 and DRG codes have been used to identify pneumonia patients in administrative data, and cases selected in this manner show excellent specificity when compared to a reference standard.11 Hospitalization discharges from both databases from 2000 through 2005 were selected with the criterion of having the principal diagnosis of ICD‐9 code 486 (pneumonia, organism unspecified) and the DRG of 89 (simple pneumonia and pleurisy, age >17 years, with complication and comorbidity), thus targeting community acquired pneumonia. These hospitalizations formed the 2 cohorts of pneumonia hospitalizations. Preliminary analyses showed that hospitalizations identified by these criteria identified more than 60% of pneumonia admissions defined by a more expansive criteria11 of having any of the DRG codes 79 (respiratory infections and inflammations, age >17 years, with complications and comorbidity), 80 (respiratory infections and inflammations, age >17 years, without complications and comorbidity), 89 and 90 (simple pneumonia and pleurisy, age >17 years, without complication and comorbidity). Gram‐negative pneumonia, aspiration pneumonia, and pneumonias due to other specific infectious agents were not targeted in this study.

        Data Classifications

        The state and national cohorts were queried for the presence of adverse effects due to various antibiotics and anti‐infectives, using specific ICD‐9 external cause of injury codes (e‐codes) including e930 and e931. E‐codes were developed as a supplemental code for use with the ICD and they provide a systematic way to classify diagnostic information that health care providers have entered into the medical record. E‐codes have been shown to be useful and sensitive in detecting medical injuries due to drugs (including antibiotics) in hospital discharge data.12 On the basis of frequency of observed adverse drug effects (as detected by e‐codes), an adverse drug effect due to an anti‐infective or antibiotic was defined as that which was due to penicillins (E930.0), erythromycin and other macrolides (E930.3), tetracyclines (E930.5), cephalosporins (E930.5), sulfonamides (E931.0), quinolones (E931.3), other specified antibiotics (E930.9), other unspecified antibiotics (E931.9), or antimycobacterials (E931.8 and E930.6). Adverse drug effects due to other anti‐infectives were not included due to extremely low incidence and unlikely clinical usage in pneumonia. National estimates of the number of patients experiencing an adverse drug effect were determined using discharge weights to adjust for subset sample size.

        The ICD‐9 codes for possible skin and allergy manifestations commonly associated with adverse drug effects were examined in patients with and without adverse drug effects as defined previously. The ICD‐9 codes for skin/allergy manifestations that were considered as possibly due to adverse drug effects included erythema, not otherwise specified (695.9), flushing (782.62), Stevens‐Johnson syndrome (695.1), allergic purpura (287.0), dermatitis due to drugs and medications taken internally (693.0), angioedema (995.1), unspecified allergy, (995.3), anaphylaxis not otherwise specified (NOS) (999.5), and urticaria (708). Gastrointestinal (GI) manifestations considered as possibly due to an adverse drug effect included nausea (787.02), vomiting (787.03), nausea with vomiting (787.01), diarrhea, not otherwise specified (787.91), diarrhea, other and unspecified noninfectious gastroenteritis and colitis (558.9), or intestinal infection due to Clostridium difficile (008.45).

        Statistical Analysis

        Analyses were performed using JMP version 5.1 and SAS for Windows version 9 (SAS Institute, Cary, NC). In linear regression models, principal outcomes of length of stay and total hospital charges were logarithmically transformed, as this data transformation reduces the influence of outliers.13 Cases with a length of stay less than 1 day were considered to have a 23‐hour LOS, to enable logarithmic transformation. Linear regression models were created to assess the impact of adverse drug effects due to antibiotics on length of stay and total charge. Linear regression models have been shown to be useful in identifying factors associated with increased hospital charges.13 Adjusting factors that were considered in multivariate models included comorbid conditions and demographic factors. Only common comorbidities that were present in greater than 5% of cases were considered and included cancer (140 through 208), congestive heart failure (428), ischemic heart disease (410414), chronic obstructive pulmonary disease (491, 492, 496), diabetes mellitus (250), hypertension (401), asthma (493), urinary tract infection (599.0), unspecified anemia (285.9), pleural effusion (511.9), cardiac dysrhythmia (427.31), volume depletion (276.5), unspecified acquired hypothyroidism (244.9), and hypoosmolality/hyponatremia (276.1). Demographic factors such as gender, race, age, year and month of admission, and day of admission were also considered in the model. The hospital where the admission occurred was used for New York State calculations. For the national data, the region and hospital characteristics but not the hospital identification number itself were considered since not all of the same hospitals were sampled each year. Finally, the governmental health insurance status (Medicare or Medicaid for both sets of data) was considered. Medicaid and Medicaid Health Maintenance Organization (HMO) as expected reimbursement categories were considered as a single group as were Medicare and Medicare HMO in the New York State database. All of these covariants were subject to forward stepwise selection for modeling adjustment purposes. The probability required for a covariant to enter the model was 0.250 and the probability at which a covariant was removed from the model was 0.100. These adjustment factors were held constant in adjusted models examining for the independent predictor effects of adverse drug reactions. To examine whether or not the presence of GI and/or skin manifestations commonly associated with adverse drug effects accounted for differences in LOS/charges, we examined whether or not adding the manifestations as a covariant would attenuate the predictor effect of the adverse drug effect.

        In order to make a practical assessment of the impact of adverse drug effects on LOS and hospital charges, we chose as an example patient a 70‐year‐old white female with a diagnosis of diabetes and hypertension, with Medicare.

        Logistic regression models were used to explore comorbid conditions and demographic features that were associated with adverse drug effects within the cohort. Forward stepwise regression was used using previously described entry/exit criteria. Odds ratios for individual predictor variables were adjusted for other significant predictor variables.

        All regression models were adjusted for sampling weights in national data analyses. The time trends (year effect) for the incidences of adverse drug effects were analyzed with the GENMOD procedure in SAS, with the negative binomial distribution option.14, 15

        RESULTS

        In the New York (SPARCS) database (NYS), 278,425 pneumonia admissions were identified. In HCUP‐NIS data subsets (NIS), 186,193 pneumonia admissions formed the cohort. In both cohorts, there was a predominance of females and older patients (Table 1). Diabetes and hypertension were common comorbidities. In the NYS cohort, 1,329 (0.48%) had an adverse effect related to an antibiotic or anti‐infective. In the NIS cohort, an estimated 0.53% had an adverse drug effect. There was a small but significant increase in the percentage of national hospitalizations associated with an antibiotic adverse drug effect over time (time effect significance; P = 0.0149; Table 1). However, this trend was not seen in the NYS cohort.

        General Characteristics of Regional and National Pneumonia Cohorts
        DatabaseSPARCSHCUP‐NIS
        • NOTE: HCUP‐NIS percentages, charges and age means are based on the calculated values for the entire country. n refers to actual number of cases in the New York cohort and the estimated cases in the national cohort.

        • Abbreviation: ADE, admissions with adverse drug effects from antibiotics as percentage of total cohort admissions.

        • Charges based on actual number of cases in the New York cohort and the estimated cases in the national cohort for the entire study period.

        Cohort years2000200520002005
        Cohort regionNew York StateUnited States
        Cohort size (identified cases)278,425186,193
        Estimated actual number (n) of cases for cohort region278,4254,547,108
        African American (%)12.87.6
        Females (%)53.854.4
        Medicare (%)72.972.8
        Mean age (years)72.571.4
        Diabetes mellitus (%)25.424.4
        Hypertension (%)41.239.0
        Death (%)6.84.7
        2000 ADE (%)/n0.44/2050.48/3372
        2001 ADE (%)/n0.47/2080.53/3797
        2002 ADE (%)/n0.49/2250.53/3985
        2003 ADE (%)/n0.48/2290.57/3564
        2004 ADE (%)/n0.52/2490.56/4250
        2005 ADE (%)/n0.46/2130.60/4979
        Total hospital charges*$4,815,100,411$70,285,286,226

        The most numerous adverse effects were noted in other specified antibiotics, followed by other unspecified antibiotics, then cephalosporins in both databases (Table 2). Cephalosporins accounted for 15% and 14% of cases with adverse drug effect due to antibiotics or anti‐infectives in the NYS and NIS cohorts, respectively. Adverse drug effects due to the penicillins and quinolones were similar in frequency and were the next most common identifiable classes of antibiotics with adverse drug effects after cephalosporins. Adverse effects to other specified antibiotics and unspecified antibiotics combined constituted 59% of adverse drug effects in both NYS and NIS cohorts.

        Profile of Types of Adverse Drug Reactions to Different Antibiotics in the Two Cohorts
        AntibioticNew York State (SPARCS)National Estimates (HCUP‐NIS)
        ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)
        • NOTE: Totals and percentages for national estimates are based on calculated values for the entire country.

        • Skin/allergy manifestations of adverse drug reactions.

        • Gastrointestinal manifestations of adverse drug reactions.

        Penicillins91758217814848471764
        Erythromycin/macrolides102828447116088195169
        Tetracyclines141507571821462773
        Cephalosporins19415602180268414551969
        Other specified antibiotics51239402967598630372962
        Other unspecified antibiotics27621225072576629164964
        Sulfonamide22264968298253760
        Quinolones94736185314798492065
        Antimycobacterials42338286064027027
        ADE due to any of the above132910043317219740100343365

        Hospitalizations associated with an adverse drug effect had higher proportions of women than hospitalizations without an adverse drug effect in both the NIS (65% versus 54%) and NYS (62% versus 54%) databases. Hospitalizations associated with an adverse drug effect had a mean age that was about 1 year younger than that observed in hospitalizations without an adverse drug effect in both databases. Congestive heart failure was present in a lower proportion of hospitalizations associated with an adverse drug effect compared to hospitalizations without adverse drug effects (NYS 27% versus 30%, NIS 25% versus 29%). In the NIS database, adverse drug effect associated hospitalizations had a lower proportion of chronic obstructive pulmonary disease than other hospitalizations (32% versus 40%). Neither database showed any adverse drug effect associated disproportion with regard to hypertension and diabetes mellitus.

        In logistic regression modeling, significant predictors for an adverse drug effect included non‐African American race, older age, female gender, not having Medicaid, and residence outside the greater NY area (only in the NYS data). Non‐African‐Americans were more likely than African‐Americans to have adverse drug effect admissions (adjusted odds ratio for NYS 2.2, 95% CI, 1.72.8; and for NIS 2.1, 95% CI, 1.63.0). Females were more likely than males to be associated with adverse drug effect admissions (adjusted odds ratio for NYS 1.5, 95% CI, 1.31.6; and for NIS 1.6, 95% CI, 1.41.8). In addition, residence outside the greater NY area was associated with adverse drug effect associated admissions (adjusted odds ratio 2.1, 95% CI, 1.82.3) in NYS data.

        Skin and allergy manifestations potentially associated with adverse drug effects were reported in 34% and 43% of the NIS and NYS cohorts, respectively. In comparison, less than 1% of non‐adverse drug effect admissions had these manifestations (Table 3) in either cohort. In NYS, adverse drug effects due to sulfonamides had a slightly higher proportion skin/allergy manifestations when compared with other antibiotic classes (Table 2). In contrast, NIS estimates show that adverse effects due to cephalosporins had the highest proportion of skin/allergy manifestations (Table 2). Compared to adverse drug effects due to other specified antibiotics, erythromycin/macrolides were more likely to present with GI manifestations in both databases (Table 2). Dermatitis due to drugs taken internally was coded for in 34% (NYS) and 26% (NIS) of patients that experienced an adverse drug effect, making this condition the most common skin/allergy manifestation associated with an adverse drug effect (Table 3). This was followed in frequency by urticaria and pruritus. Diarrhea was also a common symptom related to adverse drug effects (Table 3). While 72% of adverse drug effects had either GI or skin/allergy manifestations in the NYS cohort, only 65% of the NIS cohort had these manifestations reported. No increase in mortality was observed in patients with adverse drug effects compared to those without adverse drug effects (data not shown).

        Proportion of Clinical Manifestations Observed in Cohort Patients with and without Antibiotic Adverse Drug Effects
        Clinical ManifestationNew York State SPARCSNational Estimates HCUP‐NIS
        No Adverse Effect (%)Adverse Effect (%)No Adverse Effect (%)Adverse Effect (%)
        Dermatitis due to drugs taken internally0.134.10.125.9
        Pruritus0.13.50.13
        Urticaria0.04.00.03.6
        Erythema0.00.20.00.2
        Angioedema0.00.80.00.7
        Stevens‐Johnson syndrome0.00.30.00.2
        Anaphylaxis0.00.90.00.2
        Allergy, unspecified0.00.20.00.7
        Nausea and/or vomiting0.66.30.97.4
        Diarrhea, nonspecified or due to C. difficile3.526.53.125.5

        Both databases showed that adverse drug effects affected both LOS and total charges (Table 4). In the NIS database, adjusted models showed that GI manifestations impacted hospital charges more than skin/allergy manifestations (Table 4). In both the NYS and NIS cohorts, the effect of adverse drug effects on hospital charges was attenuated after accounting for skin/allergy and GI manifestations. However, even after accounting for both manifestations, there still was a significant adverse drug effect influence on LOS. In the example patient, predicted excess hospitalization charges associated with the presence of an adverse drug effect was $1,243 and $3,373 for the NIS and NYS cohorts, while LOS increases associated with an adverse drug effect were about 1 day in both cohorts. Linear regression models, which included adjustment factors including comorbidities and demographic/financial factors, showed that the models accounted for 13% of the variance (R2 values) in LOS and 40% in charges for the NYS but only 7% for LOS and 15% for charges for the NIS.

        Models Relating Antibiotic Adverse Effects to Hospital Charge and Length of Stay
         Example* Admission without ADEExample* Admission with ADEP Value for ADE coefficient when Added to Model
        • NOTE: NYS LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital, year, month, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism, and hyponatremia. National LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital size, census region, teaching hospital status, hospital ownership class, rural location, year, month, day, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism (not in LOS model), asthma, and hyponatremia.

        • Abbreviation: ADE, adverse drug effect.

        • NYS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in December 2004 at St. Vincent's Hospital, Staten Island. NIS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in June 2004 in the Western region at a large teaching nonrural hospital on a non‐weekend day.

        • P value for analysis of variance (ANOVA) F‐test testing for the null hypothesis that the ADE factor's coefficient = 0, main effects general linear model.

        • GI manifestations include nausea, vomiting, or diarrhea (unspecified or due to C. difficile).

        • Skin/allergy manifestations include pruritus, anaphylaxis, angioedema, erythema, allergy NOS, urticaria, Stevens‐Johnson syndrome, and dermatitis due to medication taken internally.

        SPARCS   
        Hospital charge   
        Simple unadjusted model$12,274$13,0450.007
        Adjusted model for comorbidities and demographics$14,160$17,533<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$18,865$21,560<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$16,777$19,370<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$23,227$24,2750.0227
        LOS (days)   
        Simple unadjusted model5.46.7<0.0001
        Adjusted model for comorbidities and demographics4.05.2<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations5.46.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.85.8<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations6.87.4<0.0001
        HCUP   
        Hospital charge   
        Simple unadjusted model$10,840$11,9170.0008
        Adjusted model for comorbidities and demographics$12,941$14,284<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$14,923$15,7810.0208
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$13,543$14,7230.0092
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$15,887$16,4530.1784
        LOS (days)   
        Simple unadjusted model4.45.1<0.0001
        Adjusted model for comorbidities and demographics4.04.9<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations4.85.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.04.7<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations5.35.9<0.0001

        DISCUSSION

        This study documents antibiotic related adverse drug effects as a predictable, but infrequent complication that occurs in adult patients hospitalized for pneumonia. While the incidence of antibiotic‐related adverse drug events has been calculated in both hospital2 and nursing home16 populations, these studies have not specified admissions that were associated with antibiotic use. Thus calculations of antibiotic adverse drug events for actual at‐risk patients (ie, those receiving antibiotics) are imprecise in these reports. In the present study, it is highly probable that nearly all admissions were associated with actual antibiotic administration. Thus, a rough incidence of an identifiable antibiotic adverse drug effect for adult pneumonia admissions can be expected to be roughly 0.5%. Of interest is the observation that the national incidence of this complication appears to be increasing slightly but steadily in recent years. This could be explained on the basis of increased coding slots or DRG creep17 in more recent years with the national cohort. Layde et al.12 utilized e‐codes to identify medical injury due to medications in Wisconsin hospital discharge data (excluding newborn delivery discharges), unselected for infectious diseases. They calculated an overall 0.5% incidence of antibiotic‐associated adverse effects. Since not all hospitalizations are associated with antibiotic administration, this would imply that the incidence of antibiotic associated adverse effects in hospitalized patients actually given antibiotics would be higher than 0.5%. The relatively low incidence of antibiotic‐associated adverse effects observed in the present study may relate to briefer and less complex hospitalizations for these patients compared with other patients treated with antibiotics. The use of ICD‐9 codes (including e‐codes) as flags of adverse drug events may also underestimate actual rates. In a study of Utah hospitalization discharges in 2001, Hougland et al.18 found that these flags had a sensitivity of 55% for confirmed adverse drug events of various categories. This contrasts with the 98.5% sensitivity of e‐codes to identify medical injury due to drugs, described in the Wisconsin hospital discharge data. The distinction between adverse drug effects, adverse drug reactions, and adverse drug events may be important in understanding these data. Adverse drug reactions have been defined as any noxious, unintended, and undesired effect of a drug, which occurs at doses used in humans for prophylaxis, diagnosis, or therapy and can be considered a subset of adverse drug events, which, unlike adverse drug reactions, may also be due to drug administration errors.6 The term adverse drug effect has been used more in pharmacology literature4 and in medical coding,18 and may refer more to known side effects of medications, whereas adverse drug events have been broadly defined as an injury resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, we used the term adverse drug effect for all results.

        Determining factors that influence hospital charges and length of stay are complex. Regional differences19 may be 1 factor, as suggested by difference in charges for the example admission models (Table 4). The multivariate analyses showed that nearly 40% of the variation in total New York State hospitalization charges could be explained on the basis of demographic, comorbidity factors, and between hospital variation, with an additional independent effect identifiable in the presence of an adverse drug effect to an antibiotic. The explained variance in the New York State hospitalization charges exceeds that observed in other published clinical predictor models of hospital charges based on statewide or province‐wide discharge databases.12, 20, 21 Although less variability was explained in national models, independent adverse drug effects influence on both total charge and length of stay were also observed. Higher charges with adverse drug effect associated admissions could be explained in part by increased illness severity, leading to more hospital days, and thus higher charges in per diem reimbursement schemes. In DRG‐based reimbursements, adverse drug effect presence in an admission, with its attendant increased length of stay, could be considered an outlier case, in which case an increased inpatient prospective payment system (IPPS) payment would be authorized in addition to the base payment.22

        Because the impact of adverse drug effects on length of stay was still present even after controlling for both skin/allergy and GI manifestations, this may suggest that other factors relating to the adverse drug effects may have influenced LOS. These factors might include physician reluctance to discharge these patients or the influence of other organ systems not accounted for or reported in this study. The attenuation of the adverse drug effect's influence on hospital charge models by including possible clinical manifestations of adverse drug effects suggests that these manifestations were the main contributors to higher charges associated with adverse drug effect admissions. These disparate findings regarding adverse drug effects on LOS versus charges are consistent with the notion that hospital LOS and hospital charge are separate constructs, which may be associated with separate factors affecting these outcomes.23 The 13% variation in LOS explained in the New York state hospitalization regression models was similar to the 14% variation in LOS observed in clinical predictor models for congestive heart failure hospitalizations in New York state.24 Layde et al.12 found a 14.5% and 18.5% adjusted increase in charges and LOS associated with any medical injury in Wisconsin hospital discharges. The excess length of stay due to antibiotic related medical injury was 1.27 days. This magnitude of effect is comparable to that observed in the present study.

        There are a number of limitations in this study related to coding practices and the retrospective nature of the investigation. Currently, there are no ICD‐9 e‐codes for adverse effects due to commonly used older antibiotics such as vancomycin, clindamycin, and metronidazole, or to the newer antibiotic classes. Since currently recommended treatments for community‐acquired pneumonia25 are among the specified drugs with adverse effect coding, and since other specified and unspecified anti‐infective drug‐associated (no drug names or categories provided) adverse effects were frequent, it suggests that infectious processes other than community‐acquired pneumonia were also being treated in many hospitalizations. Another limitation is that because the temporal sequence of events cannot be ascertained with this data, it is possible that an adverse drug effect was due to an antibiotic given prior to hospitalization. It has been suggested that onset of diagnosis or present on admission information be part of a new administrative data coding strategy which has been used in some states in the US.19 The adoption of ICD‐10 codes may allow for more specificity and detailing of adverse drug reactions using administrative data, as described for the United Kingdom by Waller et al.26 The actual incidence of hospitalization‐associated adverse drug effects could be underestimated if a significant number of adverse effects occurred after discharge as only in‐hospital events were recorded.

        In summary, we found that although the incidence of adverse drug effects is small, there is a definite quantifiable impact of these adverse effects on LOS and hospital charges in patients hospitalized with pneumonia. To our knowledge, there have not been similar large‐scale database studies to evaluate the incidence and impact of adverse drug effects related to antibiotics in both national and statewide samples. These findings also have implications in studies of outcomes related to pneumonia hospitalizations.

        Acknowledgements

        The authors thank Ariel D. Teitel, MD, for his assistance. This study was supported in part by the intramural scholarship program at New York Medical College.

        Adverse drug eventsdefined as an injury resulting from medical intervention related to a drug1significantly contribute to health care expenditures. Over 770,000 people are injured or die every year in hospitals from adverse drug events, and national hospital expenses to treat patients who have suffered adverse drug events during hospitalization have been estimated to be between $1.56 and $4.2 billion annually.2 In a meta‐analysis of prospective studies, researchers found that adverse drug reactions, one important form of adverse drug events, may rank as the fourth to sixth leading cause of death in the United States, with more than 100,000 deaths per year.3 Understanding the factors associated with these adverse events may help in the development of prevention strategies, with resulting improving health care quality and lowering health care costs.

        Among hospitalized patients, antibacterial adverse effects may account for approximately 25% of adverse drug reactions.1, 4 While the economic impact has been studied for overall adverse drug events in hospitalized patients in the 1990s, more recent detailed studies for the impact of antibiotic‐related adverse drug effects have not been published. As hospitalized patients with the primary diagnosis of pneumonia are invariably treated with antibiotics, and since pneumonia is the third leading cause for hospitalization in the United States,5 hospitalization databases that document pneumonia hospitalizations as well as adverse effects from antibiotics, using specific International Classification of Diseases, Ninth Revision (ICD‐9) clinical modification codes, constitute a unique and rich resource for quantifying and analyzing the incidence and impact of antibiotic‐associated adverse drug effects.

        The purpose of this study was to describe the incidence and clinical manifestations of adverse drug effects in pneumonia hospitalizations in recent years, and to determine the types of patients and comorbidities, which are most commonly associated with adverse drug effects. The term adverse drug effect refers more to known side effects of medications, whereas adverse drug events and adverse drug reactions refer to an injury or a noxious, unintended, and undesired effect resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, the broader classifications of adverse drug events or reactions could not be examined and instead the outcome of adverse drug effect was utilized.

        METHODS

        Data Sources

        The Statewide Planning and Research Cooperative System (SPARCS) database was accessed as previously described.7, 8 There is mandatory reporting to this database for all New York State acute care hospitalizations. Each deidentified SPARCS admission record contains more than 100 data fields9 that consist of demographic, clinical, and financial information. These fields include principal and nonprincipal diagnostic fields, procedure codes, race, age, gender, and ethnicity information, hospital characteristics, expected reimbursement, total charges, length of stay (LOS), admission status, and disposition status. Both ICD‐9 and Common Procedural Terminology (CPT) codes are input for each admission.

        The Nationwide Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP), contains annual hospital discharge data from a sample of US hospitals.10 Each NIS patient record includes data fields consisting of demographic, clinical, and financial information. These fields include primary and secondary diagnostic fields, procedure codes, age, gender, race, total charges, length of stay, payer codes, hospital characteristics, and disposition status. Twenty percent random subsamples from each year's sample were employed to perform the analyses. HCUP databases include appropriately‐scaled discharge weights to generate national estimates of hospitalizations and total charges from the NIS. These weights allow comparison of incidence rates and charges across years despite a varying number of states and hospitals included in the database each year.

        This study was given an exemption from institutional research board approval by the SVCMC Integrated Scientific and Ethical Review Board.

        Identification of Pneumonia Admissions

        To achieve more uniformity in the cohorts, it was decided to select only hospitalizations with the most common ICD‐9 and diagnosis‐related group (DRG) codes for pneumonia for more recent years. ICD‐9 and DRG codes have been used to identify pneumonia patients in administrative data, and cases selected in this manner show excellent specificity when compared to a reference standard.11 Hospitalization discharges from both databases from 2000 through 2005 were selected with the criterion of having the principal diagnosis of ICD‐9 code 486 (pneumonia, organism unspecified) and the DRG of 89 (simple pneumonia and pleurisy, age >17 years, with complication and comorbidity), thus targeting community acquired pneumonia. These hospitalizations formed the 2 cohorts of pneumonia hospitalizations. Preliminary analyses showed that hospitalizations identified by these criteria identified more than 60% of pneumonia admissions defined by a more expansive criteria11 of having any of the DRG codes 79 (respiratory infections and inflammations, age >17 years, with complications and comorbidity), 80 (respiratory infections and inflammations, age >17 years, without complications and comorbidity), 89 and 90 (simple pneumonia and pleurisy, age >17 years, without complication and comorbidity). Gram‐negative pneumonia, aspiration pneumonia, and pneumonias due to other specific infectious agents were not targeted in this study.

        Data Classifications

        The state and national cohorts were queried for the presence of adverse effects due to various antibiotics and anti‐infectives, using specific ICD‐9 external cause of injury codes (e‐codes) including e930 and e931. E‐codes were developed as a supplemental code for use with the ICD and they provide a systematic way to classify diagnostic information that health care providers have entered into the medical record. E‐codes have been shown to be useful and sensitive in detecting medical injuries due to drugs (including antibiotics) in hospital discharge data.12 On the basis of frequency of observed adverse drug effects (as detected by e‐codes), an adverse drug effect due to an anti‐infective or antibiotic was defined as that which was due to penicillins (E930.0), erythromycin and other macrolides (E930.3), tetracyclines (E930.5), cephalosporins (E930.5), sulfonamides (E931.0), quinolones (E931.3), other specified antibiotics (E930.9), other unspecified antibiotics (E931.9), or antimycobacterials (E931.8 and E930.6). Adverse drug effects due to other anti‐infectives were not included due to extremely low incidence and unlikely clinical usage in pneumonia. National estimates of the number of patients experiencing an adverse drug effect were determined using discharge weights to adjust for subset sample size.

        The ICD‐9 codes for possible skin and allergy manifestations commonly associated with adverse drug effects were examined in patients with and without adverse drug effects as defined previously. The ICD‐9 codes for skin/allergy manifestations that were considered as possibly due to adverse drug effects included erythema, not otherwise specified (695.9), flushing (782.62), Stevens‐Johnson syndrome (695.1), allergic purpura (287.0), dermatitis due to drugs and medications taken internally (693.0), angioedema (995.1), unspecified allergy, (995.3), anaphylaxis not otherwise specified (NOS) (999.5), and urticaria (708). Gastrointestinal (GI) manifestations considered as possibly due to an adverse drug effect included nausea (787.02), vomiting (787.03), nausea with vomiting (787.01), diarrhea, not otherwise specified (787.91), diarrhea, other and unspecified noninfectious gastroenteritis and colitis (558.9), or intestinal infection due to Clostridium difficile (008.45).

        Statistical Analysis

        Analyses were performed using JMP version 5.1 and SAS for Windows version 9 (SAS Institute, Cary, NC). In linear regression models, principal outcomes of length of stay and total hospital charges were logarithmically transformed, as this data transformation reduces the influence of outliers.13 Cases with a length of stay less than 1 day were considered to have a 23‐hour LOS, to enable logarithmic transformation. Linear regression models were created to assess the impact of adverse drug effects due to antibiotics on length of stay and total charge. Linear regression models have been shown to be useful in identifying factors associated with increased hospital charges.13 Adjusting factors that were considered in multivariate models included comorbid conditions and demographic factors. Only common comorbidities that were present in greater than 5% of cases were considered and included cancer (140 through 208), congestive heart failure (428), ischemic heart disease (410414), chronic obstructive pulmonary disease (491, 492, 496), diabetes mellitus (250), hypertension (401), asthma (493), urinary tract infection (599.0), unspecified anemia (285.9), pleural effusion (511.9), cardiac dysrhythmia (427.31), volume depletion (276.5), unspecified acquired hypothyroidism (244.9), and hypoosmolality/hyponatremia (276.1). Demographic factors such as gender, race, age, year and month of admission, and day of admission were also considered in the model. The hospital where the admission occurred was used for New York State calculations. For the national data, the region and hospital characteristics but not the hospital identification number itself were considered since not all of the same hospitals were sampled each year. Finally, the governmental health insurance status (Medicare or Medicaid for both sets of data) was considered. Medicaid and Medicaid Health Maintenance Organization (HMO) as expected reimbursement categories were considered as a single group as were Medicare and Medicare HMO in the New York State database. All of these covariants were subject to forward stepwise selection for modeling adjustment purposes. The probability required for a covariant to enter the model was 0.250 and the probability at which a covariant was removed from the model was 0.100. These adjustment factors were held constant in adjusted models examining for the independent predictor effects of adverse drug reactions. To examine whether or not the presence of GI and/or skin manifestations commonly associated with adverse drug effects accounted for differences in LOS/charges, we examined whether or not adding the manifestations as a covariant would attenuate the predictor effect of the adverse drug effect.

        In order to make a practical assessment of the impact of adverse drug effects on LOS and hospital charges, we chose as an example patient a 70‐year‐old white female with a diagnosis of diabetes and hypertension, with Medicare.

        Logistic regression models were used to explore comorbid conditions and demographic features that were associated with adverse drug effects within the cohort. Forward stepwise regression was used using previously described entry/exit criteria. Odds ratios for individual predictor variables were adjusted for other significant predictor variables.

        All regression models were adjusted for sampling weights in national data analyses. The time trends (year effect) for the incidences of adverse drug effects were analyzed with the GENMOD procedure in SAS, with the negative binomial distribution option.14, 15

        RESULTS

        In the New York (SPARCS) database (NYS), 278,425 pneumonia admissions were identified. In HCUP‐NIS data subsets (NIS), 186,193 pneumonia admissions formed the cohort. In both cohorts, there was a predominance of females and older patients (Table 1). Diabetes and hypertension were common comorbidities. In the NYS cohort, 1,329 (0.48%) had an adverse effect related to an antibiotic or anti‐infective. In the NIS cohort, an estimated 0.53% had an adverse drug effect. There was a small but significant increase in the percentage of national hospitalizations associated with an antibiotic adverse drug effect over time (time effect significance; P = 0.0149; Table 1). However, this trend was not seen in the NYS cohort.

        General Characteristics of Regional and National Pneumonia Cohorts
        DatabaseSPARCSHCUP‐NIS
        • NOTE: HCUP‐NIS percentages, charges and age means are based on the calculated values for the entire country. n refers to actual number of cases in the New York cohort and the estimated cases in the national cohort.

        • Abbreviation: ADE, admissions with adverse drug effects from antibiotics as percentage of total cohort admissions.

        • Charges based on actual number of cases in the New York cohort and the estimated cases in the national cohort for the entire study period.

        Cohort years2000200520002005
        Cohort regionNew York StateUnited States
        Cohort size (identified cases)278,425186,193
        Estimated actual number (n) of cases for cohort region278,4254,547,108
        African American (%)12.87.6
        Females (%)53.854.4
        Medicare (%)72.972.8
        Mean age (years)72.571.4
        Diabetes mellitus (%)25.424.4
        Hypertension (%)41.239.0
        Death (%)6.84.7
        2000 ADE (%)/n0.44/2050.48/3372
        2001 ADE (%)/n0.47/2080.53/3797
        2002 ADE (%)/n0.49/2250.53/3985
        2003 ADE (%)/n0.48/2290.57/3564
        2004 ADE (%)/n0.52/2490.56/4250
        2005 ADE (%)/n0.46/2130.60/4979
        Total hospital charges*$4,815,100,411$70,285,286,226

        The most numerous adverse effects were noted in other specified antibiotics, followed by other unspecified antibiotics, then cephalosporins in both databases (Table 2). Cephalosporins accounted for 15% and 14% of cases with adverse drug effect due to antibiotics or anti‐infectives in the NYS and NIS cohorts, respectively. Adverse drug effects due to the penicillins and quinolones were similar in frequency and were the next most common identifiable classes of antibiotics with adverse drug effects after cephalosporins. Adverse effects to other specified antibiotics and unspecified antibiotics combined constituted 59% of adverse drug effects in both NYS and NIS cohorts.

        Profile of Types of Adverse Drug Reactions to Different Antibiotics in the Two Cohorts
        AntibioticNew York State (SPARCS)National Estimates (HCUP‐NIS)
        ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)ADE (n)ADE % of TotalADE with Skin* (%)ADE with GI (%)ADE with GI and/or Skin* (%)
        • NOTE: Totals and percentages for national estimates are based on calculated values for the entire country.

        • Skin/allergy manifestations of adverse drug reactions.

        • Gastrointestinal manifestations of adverse drug reactions.

        Penicillins91758217814848471764
        Erythromycin/macrolides102828447116088195169
        Tetracyclines141507571821462773
        Cephalosporins19415602180268414551969
        Other specified antibiotics51239402967598630372962
        Other unspecified antibiotics27621225072576629164964
        Sulfonamide22264968298253760
        Quinolones94736185314798492065
        Antimycobacterials42338286064027027
        ADE due to any of the above132910043317219740100343365

        Hospitalizations associated with an adverse drug effect had higher proportions of women than hospitalizations without an adverse drug effect in both the NIS (65% versus 54%) and NYS (62% versus 54%) databases. Hospitalizations associated with an adverse drug effect had a mean age that was about 1 year younger than that observed in hospitalizations without an adverse drug effect in both databases. Congestive heart failure was present in a lower proportion of hospitalizations associated with an adverse drug effect compared to hospitalizations without adverse drug effects (NYS 27% versus 30%, NIS 25% versus 29%). In the NIS database, adverse drug effect associated hospitalizations had a lower proportion of chronic obstructive pulmonary disease than other hospitalizations (32% versus 40%). Neither database showed any adverse drug effect associated disproportion with regard to hypertension and diabetes mellitus.

        In logistic regression modeling, significant predictors for an adverse drug effect included non‐African American race, older age, female gender, not having Medicaid, and residence outside the greater NY area (only in the NYS data). Non‐African‐Americans were more likely than African‐Americans to have adverse drug effect admissions (adjusted odds ratio for NYS 2.2, 95% CI, 1.72.8; and for NIS 2.1, 95% CI, 1.63.0). Females were more likely than males to be associated with adverse drug effect admissions (adjusted odds ratio for NYS 1.5, 95% CI, 1.31.6; and for NIS 1.6, 95% CI, 1.41.8). In addition, residence outside the greater NY area was associated with adverse drug effect associated admissions (adjusted odds ratio 2.1, 95% CI, 1.82.3) in NYS data.

        Skin and allergy manifestations potentially associated with adverse drug effects were reported in 34% and 43% of the NIS and NYS cohorts, respectively. In comparison, less than 1% of non‐adverse drug effect admissions had these manifestations (Table 3) in either cohort. In NYS, adverse drug effects due to sulfonamides had a slightly higher proportion skin/allergy manifestations when compared with other antibiotic classes (Table 2). In contrast, NIS estimates show that adverse effects due to cephalosporins had the highest proportion of skin/allergy manifestations (Table 2). Compared to adverse drug effects due to other specified antibiotics, erythromycin/macrolides were more likely to present with GI manifestations in both databases (Table 2). Dermatitis due to drugs taken internally was coded for in 34% (NYS) and 26% (NIS) of patients that experienced an adverse drug effect, making this condition the most common skin/allergy manifestation associated with an adverse drug effect (Table 3). This was followed in frequency by urticaria and pruritus. Diarrhea was also a common symptom related to adverse drug effects (Table 3). While 72% of adverse drug effects had either GI or skin/allergy manifestations in the NYS cohort, only 65% of the NIS cohort had these manifestations reported. No increase in mortality was observed in patients with adverse drug effects compared to those without adverse drug effects (data not shown).

        Proportion of Clinical Manifestations Observed in Cohort Patients with and without Antibiotic Adverse Drug Effects
        Clinical ManifestationNew York State SPARCSNational Estimates HCUP‐NIS
        No Adverse Effect (%)Adverse Effect (%)No Adverse Effect (%)Adverse Effect (%)
        Dermatitis due to drugs taken internally0.134.10.125.9
        Pruritus0.13.50.13
        Urticaria0.04.00.03.6
        Erythema0.00.20.00.2
        Angioedema0.00.80.00.7
        Stevens‐Johnson syndrome0.00.30.00.2
        Anaphylaxis0.00.90.00.2
        Allergy, unspecified0.00.20.00.7
        Nausea and/or vomiting0.66.30.97.4
        Diarrhea, nonspecified or due to C. difficile3.526.53.125.5

        Both databases showed that adverse drug effects affected both LOS and total charges (Table 4). In the NIS database, adjusted models showed that GI manifestations impacted hospital charges more than skin/allergy manifestations (Table 4). In both the NYS and NIS cohorts, the effect of adverse drug effects on hospital charges was attenuated after accounting for skin/allergy and GI manifestations. However, even after accounting for both manifestations, there still was a significant adverse drug effect influence on LOS. In the example patient, predicted excess hospitalization charges associated with the presence of an adverse drug effect was $1,243 and $3,373 for the NIS and NYS cohorts, while LOS increases associated with an adverse drug effect were about 1 day in both cohorts. Linear regression models, which included adjustment factors including comorbidities and demographic/financial factors, showed that the models accounted for 13% of the variance (R2 values) in LOS and 40% in charges for the NYS but only 7% for LOS and 15% for charges for the NIS.

        Models Relating Antibiotic Adverse Effects to Hospital Charge and Length of Stay
         Example* Admission without ADEExample* Admission with ADEP Value for ADE coefficient when Added to Model
        • NOTE: NYS LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital, year, month, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism, and hyponatremia. National LOS and charge models had adjusting comorbid demographic factors, which included race, age, gender, hospital size, census region, teaching hospital status, hospital ownership class, rural location, year, month, day, Medicare, Medicaid, congestive heart failure, diabetes mellitus, hypertension, cancer, ischemic heart disease, volume depletion cardiac arrhythmia, urinary tract infection, pleural effusion, unspecified anemia, hypothyroidism (not in LOS model), asthma, and hyponatremia.

        • Abbreviation: ADE, adverse drug effect.

        • NYS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in December 2004 at St. Vincent's Hospital, Staten Island. NIS example admission: 70‐year‐old white female with diabetes mellitus, hypertension, and Medicare admitted in June 2004 in the Western region at a large teaching nonrural hospital on a non‐weekend day.

        • P value for analysis of variance (ANOVA) F‐test testing for the null hypothesis that the ADE factor's coefficient = 0, main effects general linear model.

        • GI manifestations include nausea, vomiting, or diarrhea (unspecified or due to C. difficile).

        • Skin/allergy manifestations include pruritus, anaphylaxis, angioedema, erythema, allergy NOS, urticaria, Stevens‐Johnson syndrome, and dermatitis due to medication taken internally.

        SPARCS   
        Hospital charge   
        Simple unadjusted model$12,274$13,0450.007
        Adjusted model for comorbidities and demographics$14,160$17,533<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$18,865$21,560<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$16,777$19,370<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$23,227$24,2750.0227
        LOS (days)   
        Simple unadjusted model5.46.7<0.0001
        Adjusted model for comorbidities and demographics4.05.2<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations5.46.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.85.8<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations6.87.4<0.0001
        HCUP   
        Hospital charge   
        Simple unadjusted model$10,840$11,9170.0008
        Adjusted model for comorbidities and demographics$12,941$14,284<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations$14,923$15,7810.0208
        Adjusted model for comorbidities and demographics including skin/allergy manifestations$13,543$14,7230.0092
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations$15,887$16,4530.1784
        LOS (days)   
        Simple unadjusted model4.45.1<0.0001
        Adjusted model for comorbidities and demographics4.04.9<0.0001
        Adjusted model for comorbidities and demographics including GI manifestations4.85.5<0.0001
        Adjusted model for comorbidities and demographics including skin/allergy manifestations4.04.7<0.0001
        Adjusted model for comorbidities and demographics including GI and skin/allergy manifestations5.35.9<0.0001

        DISCUSSION

        This study documents antibiotic related adverse drug effects as a predictable, but infrequent complication that occurs in adult patients hospitalized for pneumonia. While the incidence of antibiotic‐related adverse drug events has been calculated in both hospital2 and nursing home16 populations, these studies have not specified admissions that were associated with antibiotic use. Thus calculations of antibiotic adverse drug events for actual at‐risk patients (ie, those receiving antibiotics) are imprecise in these reports. In the present study, it is highly probable that nearly all admissions were associated with actual antibiotic administration. Thus, a rough incidence of an identifiable antibiotic adverse drug effect for adult pneumonia admissions can be expected to be roughly 0.5%. Of interest is the observation that the national incidence of this complication appears to be increasing slightly but steadily in recent years. This could be explained on the basis of increased coding slots or DRG creep17 in more recent years with the national cohort. Layde et al.12 utilized e‐codes to identify medical injury due to medications in Wisconsin hospital discharge data (excluding newborn delivery discharges), unselected for infectious diseases. They calculated an overall 0.5% incidence of antibiotic‐associated adverse effects. Since not all hospitalizations are associated with antibiotic administration, this would imply that the incidence of antibiotic associated adverse effects in hospitalized patients actually given antibiotics would be higher than 0.5%. The relatively low incidence of antibiotic‐associated adverse effects observed in the present study may relate to briefer and less complex hospitalizations for these patients compared with other patients treated with antibiotics. The use of ICD‐9 codes (including e‐codes) as flags of adverse drug events may also underestimate actual rates. In a study of Utah hospitalization discharges in 2001, Hougland et al.18 found that these flags had a sensitivity of 55% for confirmed adverse drug events of various categories. This contrasts with the 98.5% sensitivity of e‐codes to identify medical injury due to drugs, described in the Wisconsin hospital discharge data. The distinction between adverse drug effects, adverse drug reactions, and adverse drug events may be important in understanding these data. Adverse drug reactions have been defined as any noxious, unintended, and undesired effect of a drug, which occurs at doses used in humans for prophylaxis, diagnosis, or therapy and can be considered a subset of adverse drug events, which, unlike adverse drug reactions, may also be due to drug administration errors.6 The term adverse drug effect has been used more in pharmacology literature4 and in medical coding,18 and may refer more to known side effects of medications, whereas adverse drug events have been broadly defined as an injury resulting from administration of a drug.6 As this study utilized medical coding for data abstraction, we used the term adverse drug effect for all results.

        Determining factors that influence hospital charges and length of stay are complex. Regional differences19 may be 1 factor, as suggested by difference in charges for the example admission models (Table 4). The multivariate analyses showed that nearly 40% of the variation in total New York State hospitalization charges could be explained on the basis of demographic, comorbidity factors, and between hospital variation, with an additional independent effect identifiable in the presence of an adverse drug effect to an antibiotic. The explained variance in the New York State hospitalization charges exceeds that observed in other published clinical predictor models of hospital charges based on statewide or province‐wide discharge databases.12, 20, 21 Although less variability was explained in national models, independent adverse drug effects influence on both total charge and length of stay were also observed. Higher charges with adverse drug effect associated admissions could be explained in part by increased illness severity, leading to more hospital days, and thus higher charges in per diem reimbursement schemes. In DRG‐based reimbursements, adverse drug effect presence in an admission, with its attendant increased length of stay, could be considered an outlier case, in which case an increased inpatient prospective payment system (IPPS) payment would be authorized in addition to the base payment.22

        Because the impact of adverse drug effects on length of stay was still present even after controlling for both skin/allergy and GI manifestations, this may suggest that other factors relating to the adverse drug effects may have influenced LOS. These factors might include physician reluctance to discharge these patients or the influence of other organ systems not accounted for or reported in this study. The attenuation of the adverse drug effect's influence on hospital charge models by including possible clinical manifestations of adverse drug effects suggests that these manifestations were the main contributors to higher charges associated with adverse drug effect admissions. These disparate findings regarding adverse drug effects on LOS versus charges are consistent with the notion that hospital LOS and hospital charge are separate constructs, which may be associated with separate factors affecting these outcomes.23 The 13% variation in LOS explained in the New York state hospitalization regression models was similar to the 14% variation in LOS observed in clinical predictor models for congestive heart failure hospitalizations in New York state.24 Layde et al.12 found a 14.5% and 18.5% adjusted increase in charges and LOS associated with any medical injury in Wisconsin hospital discharges. The excess length of stay due to antibiotic related medical injury was 1.27 days. This magnitude of effect is comparable to that observed in the present study.

        There are a number of limitations in this study related to coding practices and the retrospective nature of the investigation. Currently, there are no ICD‐9 e‐codes for adverse effects due to commonly used older antibiotics such as vancomycin, clindamycin, and metronidazole, or to the newer antibiotic classes. Since currently recommended treatments for community‐acquired pneumonia25 are among the specified drugs with adverse effect coding, and since other specified and unspecified anti‐infective drug‐associated (no drug names or categories provided) adverse effects were frequent, it suggests that infectious processes other than community‐acquired pneumonia were also being treated in many hospitalizations. Another limitation is that because the temporal sequence of events cannot be ascertained with this data, it is possible that an adverse drug effect was due to an antibiotic given prior to hospitalization. It has been suggested that onset of diagnosis or present on admission information be part of a new administrative data coding strategy which has been used in some states in the US.19 The adoption of ICD‐10 codes may allow for more specificity and detailing of adverse drug reactions using administrative data, as described for the United Kingdom by Waller et al.26 The actual incidence of hospitalization‐associated adverse drug effects could be underestimated if a significant number of adverse effects occurred after discharge as only in‐hospital events were recorded.

        In summary, we found that although the incidence of adverse drug effects is small, there is a definite quantifiable impact of these adverse effects on LOS and hospital charges in patients hospitalized with pneumonia. To our knowledge, there have not been similar large‐scale database studies to evaluate the incidence and impact of adverse drug effects related to antibiotics in both national and statewide samples. These findings also have implications in studies of outcomes related to pneumonia hospitalizations.

        Acknowledgements

        The authors thank Ariel D. Teitel, MD, for his assistance. This study was supported in part by the intramural scholarship program at New York Medical College.

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        25. Mandell LA,Wunderink RG,Anzueto A, et al.Infectious Disease Society/American Thoracic Society Consensus Guidelines on the Management of Community‐Acquired Pneumonia in Adults.Clin Infect Dis.2007;44:S27S72.
        26. Waller P,Shaw M,Ho D,Shakir S,Ebrahim S.Hospital admissions for ‘drug‐induced’ disorders in England: a study using the Hospital Episodes Statistics (HES) database.Br J Clin Pharmacol.2005;59:213219.
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        24. Polanczyk CA,Lane A,Coburn M, et al.Hospital outcomes in major teaching, minor teaching, and nonteaching hospitals in New York state.Am J Med.2002;112:255261.
        25. Mandell LA,Wunderink RG,Anzueto A, et al.Infectious Disease Society/American Thoracic Society Consensus Guidelines on the Management of Community‐Acquired Pneumonia in Adults.Clin Infect Dis.2007;44:S27S72.
        26. Waller P,Shaw M,Ho D,Shakir S,Ebrahim S.Hospital admissions for ‘drug‐induced’ disorders in England: a study using the Hospital Episodes Statistics (HES) database.Br J Clin Pharmacol.2005;59:213219.
        Issue
        Journal of Hospital Medicine - 4(2)
        Issue
        Journal of Hospital Medicine - 4(2)
        Page Number
        E7-E15
        Page Number
        E7-E15
        Article Type
        Display Headline
        Incidence and impact of adverse effects to antibiotics in hospitalized adults with pneumonia
        Display Headline
        Incidence and impact of adverse effects to antibiotics in hospitalized adults with pneumonia
        Legacy Keywords
        adverse effects, antibiotics, hospitalization, pneumonia
        Legacy Keywords
        adverse effects, antibiotics, hospitalization, pneumonia
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