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Study: Hospitalists Associated with Higher Costs for UGIH Care
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Conventional Wisdom: When New Isn’t Better
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
ODAC votes against one leukemia, one NHL drug
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
HM10 Will Focus on Healthcare's Future
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
In the Literature: The Latest Research You Need to Know
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
BEST PRACTICES IN: Approaches to Pruritus
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
Congenital Anomalies in Infant HSV
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
---|---|---|---|
| |||
Age at presentation | |||
7 days | 58.4 | 21.6* | 4.2* |
814 days | 15.1 | 15.8 | 3.6 |
1528 days | 16.4 | 9.7 | 2.1 |
2960 days | 10.1 | 10.2 | 0 |
Low birth weight | |||
Yes | 10.6 | 44.2* | 9.0* |
No | 89.4 | 14.3 | 2.7 |
Type of insurance | |||
Private | 47.4 | 15.6 | 2.1* |
Medicaid | 49.0 | 19.2 | 4.8 |
Self pay | 3.6 | 17.0 | 0 |
Race | |||
White | 52.8 | 17.7 | 3.5 |
Black | 18.9 | 17.6 | 4.2 |
Other | 28.3 | 19.2 | 4.5 |
Gender | |||
Female | 45.4 | 15.7 | 2.2 |
Male | 54.6 | 18.9 | 4.3 |
Any congenital anomaly | |||
Yes | 10.0 | 41.1* | 10.4* |
No | 90.0 | 14.8 | 2.6 |
Admission type | |||
Routine | 62.3 | 15.9* | 2.8* |
Emergency room | 22.2 | 8.8 | 1.1 |
Transfer from another hospital | 15.5 | 38.7 | 9.6 |
APR‐DRG risk | |||
Mild | 3.0 | 0.3* | 0* |
Moderate | 33.0 | 2.0 | 0.5 |
Major | 24.0 | 24.7 | 2.3 |
Extreme | 12.2 | 85.0 | 20.8 |
Hospital‐level factors | |||
Children's hospital | |||
Yes | 14.7 | 27.0 | 6.4 |
No | 85.3 | 16.3 | 3.1 |
Teaching hospital | |||
Yes | 68.4 | 21.3* | 4.3* |
No | 31.7 | 8.5 | 1.5 |
Location | |||
Urban | 91.5 | 18.0* | 3.6 |
Rural | 8.5 | 9.0 | 1.6 |
Hospital size | |||
Small | 14.1 | 19.3 | 4.2 |
Medium | 25.9 | 14.3 | 3.2 |
Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
Risk Factor | Serious Complication | Mortality | ||
---|---|---|---|---|
Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
Age at admission | ||||
7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
1428 days | 0.87 | 0.322.37 | Reference* | |
2960 days | Reference | |||
Racial/ethnic status | ||||
White | Reference | Reference | ||
Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
Transferred to another hospital | 1.35 | 0.672.73 | ||
Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
---|---|---|---|---|
| ||||
No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
Type of congenital anomaly | ||||
Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
Musculoskeletal anomaly | ||||
Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
- Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229. , , , et al.
- Herpes simplex viruses.Clin Infect Dis.1998;26:541–553. , , .
- Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446. , , .
- Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116. , , , et al.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708. , , .
- Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414. , , , et al.
- The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5. , , , et al.
- Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001. , , , et al.
- The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202. , , , et al.
- Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38. , , .
- The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554. , , , et al.
- The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782. , , , et al.
- Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103. , , , et al.
- The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179. , , .
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844. , , .
- Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281. , .
- Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494. , , .
- Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117. .
- Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343. , , , et al.
- Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122. .
- Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617. , , , et al.
- Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602. , .
- Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209. , , , et al.
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
---|---|---|---|
| |||
Age at presentation | |||
7 days | 58.4 | 21.6* | 4.2* |
814 days | 15.1 | 15.8 | 3.6 |
1528 days | 16.4 | 9.7 | 2.1 |
2960 days | 10.1 | 10.2 | 0 |
Low birth weight | |||
Yes | 10.6 | 44.2* | 9.0* |
No | 89.4 | 14.3 | 2.7 |
Type of insurance | |||
Private | 47.4 | 15.6 | 2.1* |
Medicaid | 49.0 | 19.2 | 4.8 |
Self pay | 3.6 | 17.0 | 0 |
Race | |||
White | 52.8 | 17.7 | 3.5 |
Black | 18.9 | 17.6 | 4.2 |
Other | 28.3 | 19.2 | 4.5 |
Gender | |||
Female | 45.4 | 15.7 | 2.2 |
Male | 54.6 | 18.9 | 4.3 |
Any congenital anomaly | |||
Yes | 10.0 | 41.1* | 10.4* |
No | 90.0 | 14.8 | 2.6 |
Admission type | |||
Routine | 62.3 | 15.9* | 2.8* |
Emergency room | 22.2 | 8.8 | 1.1 |
Transfer from another hospital | 15.5 | 38.7 | 9.6 |
APR‐DRG risk | |||
Mild | 3.0 | 0.3* | 0* |
Moderate | 33.0 | 2.0 | 0.5 |
Major | 24.0 | 24.7 | 2.3 |
Extreme | 12.2 | 85.0 | 20.8 |
Hospital‐level factors | |||
Children's hospital | |||
Yes | 14.7 | 27.0 | 6.4 |
No | 85.3 | 16.3 | 3.1 |
Teaching hospital | |||
Yes | 68.4 | 21.3* | 4.3* |
No | 31.7 | 8.5 | 1.5 |
Location | |||
Urban | 91.5 | 18.0* | 3.6 |
Rural | 8.5 | 9.0 | 1.6 |
Hospital size | |||
Small | 14.1 | 19.3 | 4.2 |
Medium | 25.9 | 14.3 | 3.2 |
Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
Risk Factor | Serious Complication | Mortality | ||
---|---|---|---|---|
Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
Age at admission | ||||
7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
1428 days | 0.87 | 0.322.37 | Reference* | |
2960 days | Reference | |||
Racial/ethnic status | ||||
White | Reference | Reference | ||
Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
Transferred to another hospital | 1.35 | 0.672.73 | ||
Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
---|---|---|---|---|
| ||||
No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
Type of congenital anomaly | ||||
Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
Musculoskeletal anomaly | ||||
Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
---|---|---|---|
| |||
Age at presentation | |||
7 days | 58.4 | 21.6* | 4.2* |
814 days | 15.1 | 15.8 | 3.6 |
1528 days | 16.4 | 9.7 | 2.1 |
2960 days | 10.1 | 10.2 | 0 |
Low birth weight | |||
Yes | 10.6 | 44.2* | 9.0* |
No | 89.4 | 14.3 | 2.7 |
Type of insurance | |||
Private | 47.4 | 15.6 | 2.1* |
Medicaid | 49.0 | 19.2 | 4.8 |
Self pay | 3.6 | 17.0 | 0 |
Race | |||
White | 52.8 | 17.7 | 3.5 |
Black | 18.9 | 17.6 | 4.2 |
Other | 28.3 | 19.2 | 4.5 |
Gender | |||
Female | 45.4 | 15.7 | 2.2 |
Male | 54.6 | 18.9 | 4.3 |
Any congenital anomaly | |||
Yes | 10.0 | 41.1* | 10.4* |
No | 90.0 | 14.8 | 2.6 |
Admission type | |||
Routine | 62.3 | 15.9* | 2.8* |
Emergency room | 22.2 | 8.8 | 1.1 |
Transfer from another hospital | 15.5 | 38.7 | 9.6 |
APR‐DRG risk | |||
Mild | 3.0 | 0.3* | 0* |
Moderate | 33.0 | 2.0 | 0.5 |
Major | 24.0 | 24.7 | 2.3 |
Extreme | 12.2 | 85.0 | 20.8 |
Hospital‐level factors | |||
Children's hospital | |||
Yes | 14.7 | 27.0 | 6.4 |
No | 85.3 | 16.3 | 3.1 |
Teaching hospital | |||
Yes | 68.4 | 21.3* | 4.3* |
No | 31.7 | 8.5 | 1.5 |
Location | |||
Urban | 91.5 | 18.0* | 3.6 |
Rural | 8.5 | 9.0 | 1.6 |
Hospital size | |||
Small | 14.1 | 19.3 | 4.2 |
Medium | 25.9 | 14.3 | 3.2 |
Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
Risk Factor | Serious Complication | Mortality | ||
---|---|---|---|---|
Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
Age at admission | ||||
7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
1428 days | 0.87 | 0.322.37 | Reference* | |
2960 days | Reference | |||
Racial/ethnic status | ||||
White | Reference | Reference | ||
Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
Transferred to another hospital | 1.35 | 0.672.73 | ||
Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
---|---|---|---|---|
| ||||
No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
Type of congenital anomaly | ||||
Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
Musculoskeletal anomaly | ||||
Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
- Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229. , , , et al.
- Herpes simplex viruses.Clin Infect Dis.1998;26:541–553. , , .
- Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446. , , .
- Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116. , , , et al.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708. , , .
- Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414. , , , et al.
- The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5. , , , et al.
- Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001. , , , et al.
- The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202. , , , et al.
- Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38. , , .
- The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554. , , , et al.
- The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782. , , , et al.
- Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103. , , , et al.
- The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179. , , .
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844. , , .
- Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281. , .
- Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494. , , .
- Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117. .
- Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343. , , , et al.
- Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122. .
- Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617. , , , et al.
- Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602. , .
- Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209. , , , et al.
- Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229. , , , et al.
- Herpes simplex viruses.Clin Infect Dis.1998;26:541–553. , , .
- Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446. , , .
- Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116. , , , et al.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708. , , .
- Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414. , , , et al.
- The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5. , , , et al.
- Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001. , , , et al.
- The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202. , , , et al.
- Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38. , , .
- The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554. , , , et al.
- The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782. , , , et al.
- Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103. , , , et al.
- The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179. , , .
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844. , , .
- Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281. , .
- Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494. , , .
- Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117. .
- Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343. , , , et al.
- Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122. .
- Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617. , , , et al.
- Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602. , .
- Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209. , , , et al.
Copyright © 2010 Society of Hospital Medicine
Erythema with Leukemia and Bacteremia
A previously healthy 66‐year‐old man was admitted with a 4‐day history of high fever and an extensive, nonpruritic, nonmigratory, erythematous rash with areas of induration over his torso (Figure 1A). Biopsy of the rash, which spontaneously subsided within 8 days, revealed only nonspecific superficial and deep perivascular lymphocytic infiltration, without vasculitis, granulomas, or immunohistochemical evidence of malignant cells (Figure 1B). Blood cultures grew spiral‐shaped Gram‐negative rods (Figure 1C), which were identified as Helicobacter cinaedi by polymerase chain reaction (PCR). H. cinaedi is a rare pathogen that is reported to cause bacteremia in immunocompromised hosts. Peripheral blood showed more than 2000/L of lymphocytes with prominent hyperlobulated flower‐like nuclei (Figure 1D), which were CD4+/CD8 and CD25+ by flow cytometry. Human T‐lymphotropic virus 1 (HTLV‐1) antibody was positive, highlighting the fact that the patient's mother was from southern Kyushu, Japan, where HTLV‐1 is endemic. Diagnosis of adult T‐cell leukemia was confirmed by southern blot hybridization analysis. We believe that this case makes an important addition to the library of annular or gyrate erythemas, which can be secondary to bacteremia, leukemia, or both.

A previously healthy 66‐year‐old man was admitted with a 4‐day history of high fever and an extensive, nonpruritic, nonmigratory, erythematous rash with areas of induration over his torso (Figure 1A). Biopsy of the rash, which spontaneously subsided within 8 days, revealed only nonspecific superficial and deep perivascular lymphocytic infiltration, without vasculitis, granulomas, or immunohistochemical evidence of malignant cells (Figure 1B). Blood cultures grew spiral‐shaped Gram‐negative rods (Figure 1C), which were identified as Helicobacter cinaedi by polymerase chain reaction (PCR). H. cinaedi is a rare pathogen that is reported to cause bacteremia in immunocompromised hosts. Peripheral blood showed more than 2000/L of lymphocytes with prominent hyperlobulated flower‐like nuclei (Figure 1D), which were CD4+/CD8 and CD25+ by flow cytometry. Human T‐lymphotropic virus 1 (HTLV‐1) antibody was positive, highlighting the fact that the patient's mother was from southern Kyushu, Japan, where HTLV‐1 is endemic. Diagnosis of adult T‐cell leukemia was confirmed by southern blot hybridization analysis. We believe that this case makes an important addition to the library of annular or gyrate erythemas, which can be secondary to bacteremia, leukemia, or both.

A previously healthy 66‐year‐old man was admitted with a 4‐day history of high fever and an extensive, nonpruritic, nonmigratory, erythematous rash with areas of induration over his torso (Figure 1A). Biopsy of the rash, which spontaneously subsided within 8 days, revealed only nonspecific superficial and deep perivascular lymphocytic infiltration, without vasculitis, granulomas, or immunohistochemical evidence of malignant cells (Figure 1B). Blood cultures grew spiral‐shaped Gram‐negative rods (Figure 1C), which were identified as Helicobacter cinaedi by polymerase chain reaction (PCR). H. cinaedi is a rare pathogen that is reported to cause bacteremia in immunocompromised hosts. Peripheral blood showed more than 2000/L of lymphocytes with prominent hyperlobulated flower‐like nuclei (Figure 1D), which were CD4+/CD8 and CD25+ by flow cytometry. Human T‐lymphotropic virus 1 (HTLV‐1) antibody was positive, highlighting the fact that the patient's mother was from southern Kyushu, Japan, where HTLV‐1 is endemic. Diagnosis of adult T‐cell leukemia was confirmed by southern blot hybridization analysis. We believe that this case makes an important addition to the library of annular or gyrate erythemas, which can be secondary to bacteremia, leukemia, or both.

Antimicrobial Prescription in Pneumonia
Pneumonia is the second most common infection in nursing home residents after urinary tract infection, and is the most common reason for transfer to the hospital.1 Although it remains difficult to determine the incidence of pneumonia in institutionalized elderly patients, an estimated 4 million cases of nursing homeacquired pneumonia (NHAP) occur annually in the United States and result in more than 600,000 emergency department visits.2 In the past 2 decades, multiple studies have documented the rapid rise in drug resistance among common pathogens responsible for pneumonia in the elderly and the acquisition of multidrug‐resistant organisms in residents of long‐term care facilities.3, 4 Health care practitioners are faced with the dilemma of attempting to limit broad‐spectrum antimicrobial drug use while striving to maximize therapeutic efficacy in individual patients.5 The current practice guidelines for the management of NHAP from various professional societies provide mixed messages on the class of antibiotics for patients requiring hospitalization.2, 68 While the 2000 Canadian and the 2003 Infectious Disease Society of America (IDSA) guidelines advocate a community‐acquired pneumonia‐like approach to therapy, the 2005 American Thoracic Society (ATS)/IDSA guidelines and the 2007 IDSA/ATS guidelines consider drug‐resistant pathogens (DRPs) (ie, methicillin‐resistant Staphylococcus aureus [MRSA] and Pseudomonas aeruginosa) to be major etiologic agents in NHAP and thus the empiric treatment recommendations focus specifically on these pathogens (Table 1).
|
2003 IDSA |
1. Parenteral third‐generation cephalosporin or ampicillin sulbactam + macrolide; or |
2. Parenteral fluoroquinolone alone |
2000 Canadian |
1. Parenteral fluoroquinolone alone; or |
2. Parenteral third‐generation, or fourth‐generation cephalosporin + macrolide |
2005 ATS/IDSA |
1. Antipseudomonal cephalosporin or antipseudomonal carbapenem or antipseudomonal penicillin + antipseudomonal fluoroquinolone or aminoglycoside + anti‐methicillin‐resistant Staphylococcus agents |
Given these differences in antibiotic recommendations among the various guidelines, we sought to examine the antimicrobial prescription patterns in hospitalized non‐critically‐ill patients with NHAP in multiple tertiary care facilities vis‐‐vis the population demographics and clinical characteristics.
Methods
Study Population
This retrospective study was conducted in 3 tertiary‐care hospitals (Erie County Medical Center, Millard Fillmore Hospital, and Buffalo General Hospital) in the city of Buffalo, New York. These hospitals account for 96% of admissions from nursing homes in Erie County. The Institutional Review Board approved the study and certified that it met the criteria for a waiver of the requirement to obtain informed consent. All medical charts of adult patients with pneumonia listed under admission diagnosis or discharge diagnosis (International Classification of Diseases, ninth revision, Clinical Modification Codes [ICD‐9‐CM] [35] codes 480.0480.9, 481, 482.0482.9, 483.0483.8, 485, 486, 487.0, and 507.0) between April 2005 and December 2007 were abstracted. The records were searched for place of residence prior to admission and all patients residing in nursing homes for 30 days or more were selected for review. Inclusion criteria included the presence of new or increased radiographic abnormalities plus 2 or more of the following symptoms and signs: new or increased cough, new or increased sputum production, and temperature greater than 38C. Patients who met at least one of the following criteria were excluded: (1) admission to a critical care unit from the emergency department; (2) discharge within 24 hours; (3) human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) or immunocompromised; (4) transfer from another hospital; or (5) receiving active chemotherapy. Patients with multiple admissions were included only once to ensure independence of observations.
Data Collection
Data collected included information on sociodemographic characteristics, admitting service (University‐affiliated or private service), comorbidities, preadmission functional status, do not resuscitate (DNR) order, and prior antibiotic therapy. Antibiotic information was comprised of the name of the antibiotic, start and stop dates (including postdischarge), monotherapy or combination therapy, and route of administration. Antimicrobials were assigned to 1 of the following categories: macrolides (azithromycin, clarithromycin), lincosamide (clindamycin), fluoroquinolones (ciprofloxacin, levofloxacin, moxifloxacin), carbapenems (ertapenem, imipenem), cephalosporins (ceftriaxone, cefpodoxime, cefepime), and ureidopenicillins (piperacillin‐tazobactam). Patients who died during the hospital stay before completion of therapy were assigned 14 days of antibiotic therapy.
The burden of comorbidities was assessed by the Charlson Index.9 The Activity of Daily Living (ADL) score was abstracted from a standardized patient‐review instrument included in all patients' charts.10 Patients were assigned an ADL score in each of the 6 major areas of activity: eating, toileting, feeding, bathing, mobility, and continence; ranging from 1 if they were fully independent, 2 if they were partially independent, and 3 if they were completely dependent. The ADL score was calculated by adding the points assigned for each activity, and it ranged from 6 to 18. Three categories were arbitrarily created: ADL I, corresponding to ADL scores from 6 to 8; ADL II, scores from 9 to 13; and ADL III, scores from 14 to 18.4
The Pneumonia Severity Index Score (PSI)11 was also calculated. The PSI is a validated disease‐severity classification system based on age, sex, nursing home residence, 5 comorbid illnesses, vital signs on admission, mental status, 7 laboratory values, and the findings on chest roentgenograms. Based on the scoring system, patients were stratified into 5 categories or classes of risk for in‐hospital mortality. Class I patients have the lowest disease severity while class V have the highest disease severity.
Statistics
Data were analyzed using the NCSS 2000 Statistical Analysis System (NCSS, Kaysville, UT). Continuous variables were tested for normal distribution using the Kolmogorov‐Smirnov test. Results are expressed as means standard deviation (SD). Univariate analysis was carried out using the chi‐square test and Fisher's exact test for categorical data and the t test for independent samples for continuous variables. Missing values for ADL and Charlson scores were encountered at <3% of the total population sample. Multiple regression models of available variables were utilized to predict missing values as described by Little and Rubin.12 All tests were 2‐tailed and statistical significance was determined at the 5% level.
Results
A total of 397 subjects with NHAP were included in the study. The mean age of the cohort group was 76.8 13.5 years. Eighty percent had 2 or more chronic diseases. Degenerative nervous system, cardiac, and pulmonary diseases accounted for the majority of underlying comorbidities. Demographic and clinical characteristics of the study population are presented in Table 2. At the time of admission, 17% of patients had received antimicrobial therapy for a respiratory ailment within the last week prior to transfer to an acute care facility. The most commonly prescribed agents at the nursing home were an oral fluoroquinolone (81%), a cephalosporin (14%), or a macrolide (3%).
| |
Characteristic (n = 397) | |
Age (years), mean (SD) | 76.8 (13.5) |
Male, n (%) | 162 (41) |
Underlying comorbidities, n (%) | |
Cardiac diseases | 135 (34) |
Pulmonary diseases | 129 (32) |
Cerebrovascular accident | 98 (25) |
Diabetes mellitus | 138 (35) |
Dementia | 179 (45) |
DNR, n (%) | 42 (11) |
Activity of daily living, n (%) | |
ADL I | 57 (14) |
ADL II | 150 (38) |
ADL III | 190 (48) |
Pneumonia Severity Index, n (%) | |
Class II | 13 (3) |
Class III | 34 (8) |
Class IV | 177 (45) |
Class V | 173 (44) |
Bacteremia, n (%) | 48 (12) |
Of the 397 patients who met the criteria for NHAP, all but 5 patients received antimicrobial therapy. The 3 most commonly used antimicrobial compounds for inpatient treatment were fluoroquinolones (51.4%), ceftriaxone (45.0%), and azithromycin (42.1%). None of the participating hospitals had an antibiotic restriction policy for the use of fluoroquinolones or vancomycin.
Monotherapy was prescribed in 57.4%. Fluoroquinolones represented 79.5% of these cases. The other monotherapy choices included a third‐generation cephalosporin (10.7%), piperacillin/tazobactam (8%), and vancomycin (0.2%). Combination therapy consisted mainly of a macrolide plus a third‐generation cephalosporin (74/168; 44%). Other combination regimens included vancomycin plus piperacillin/tazobactam plus ciprofloxacin (35%), vancomycin plus imipenem plus ciprofloxacin (9%), vancomycin plus piperacillin/tazobactam plus azithromycin (4%), vancomycin plus piperacillin/tazobactam (7%), and piperacillin/tazobactam plus azithromycin (1%). Figure 1 shows the distribution of vancomycin and fluoroquinolones use across the different age groups. While the use of fluoroquinolones (P = 0.76) was comparable between groups, there was a significant trend in prescribing less vancomycin with increasing age (P < 0.001). As for the rest of the antibiotics, there was no difference in the overall use of macrolides (P = 0.53), cephalosporins (P = 0.84), or carbapenems (P = 0.67) among age groups. Clindamycin was only used in 9 (2%) out of 392 patients. None of the patients had an aminoglycoside or a sulfa drug prescribed. We also found no difference in terms of antibiotic choice or use of combination therapy among the 3 hospitals (P = 0.78, and P = 0.52; respectively).

Antibiotic choices were influenced by severity of illness. There was an inverse relationship between PSI classes and the use of either fluoroquinolones or ceftriaxone plus azithromycin (P = 0.02) (Figure 2). Patients with higher acuity of illness were more likely to receive combination regimens that include vancomycin plus piperacillin/tazobactam than those with lower acuity of illness (P < 0.001). Neither the comorbidity index nor the ADL scores had a significant impact on the use of combination therapy (P = 0.49 and P = 0.2; respectively). There was a trend toward association between increasing ADL score and the use of vancomycin plus piperacillin/tazobactam but it did not reach statistical significance (P = 0.06). Of interest, patients who were admitted on the University‐affiliated service were more likely to receive combination therapy than those who were under the care of private service (P < 0.001) (Figure 3). Ceftriaxone plus azithromycin accounted for the majority of combination regimens irrespective of physicians' affiliation.


Overall, there were more patients who received antibiotic therapy in compliance with the 2003 IDSA guidelines6 compared with the 2005 ATS/IDSA guidelines7 (65% vs. 19%, respectively; P < 0.001). A positive correlation was noted between severity of illness and adherence to the 2005 ATS/IDSA antimicrobial recommendations (P = 0.02). However, neither the burden of comorbidities nor the functional status was associated with the use of guidelines (P = 0.76 and P = 0.43; respectively).
Duration of therapy ranged from 3 to 21 days with a median of 8 days. The choice of antibiotics, burden of comorbidities, DNR status, or PSI scores had no correlation with antibiotic duration. Only the presence of bacteremia was associated with more than 8 days of antibiotic duration (P < 0.001) (Figure 4). On average, bacteremic patients received 10.1 3.3 (range, 6‐21) days of antimicrobial therapy compared to 7.8 4.1 (range, 319) days for nonbacteremic cases (P < 0.001). During the course of hospitalization, change in antibiotics occurred in 35 (9%) out of the 392 patients, with the majority of substitutions affecting those who were initially prescribed a regimen that included vancomycin plus piperacillin/tazobactam. In these cases, patients were most commonly switched to fluoroquinolones (n = 20), followed by cephalosporins (n = 11).

Discussion
Our study suggests that antimicrobial selection among hospitalized nursing homes patients with pneumonia is influenced by patients' age, severity of illness, and provider's academic affiliation.
This is the first comprehensive study, to our knowledge, to report on the type, distribution, and pattern of antimicrobials prescribed among institutionalized patients requiring hospital admission. Various treatment regimens have been investigated in the last 2 decades using both retrospective and prospective randomized clinical trials to examine the efficacy and safety of parenteral and oral antibiotics in nursing homes.1316 However, there are no randomized controlled clinical trials for the treatment of hospitalized NHAP on which to base treatment recommendations. For some healthcare providers, the treatment parallels the coverage of patients with community‐acquired pneumonia; for others, broad‐spectrum coverage is the norm. In the absence of validated guidelines, the present investigation shows that prescription patterns varied across demographic and clinical characteristics. Fluoroquinolones were the preferred agents for the initial therapy of NHAP across all age groups, probably because of their single daily dosing, broad spectrum coverage against typical and atypical pathogens, and favorable side effect profile. Conversely, the use of vancomycin tended to decline in older age groups. This decline could be attributed to the need for frequent monitoring of trough levels when venous access can be difficult, lack of oral formulation, or potential toxicity. Further studies are needed to examine the validity of this pattern.
To our knowledge, compliance with guidelines regarding treatment of NHAP has not been previously reported. Despite recent studies suggesting that adherence to community‐acquired pneumonia guidelines resulted in reduced need for hospitalization, shorter stays, and lower mortality,1721 our findings indicated a rather low compliance with the most recently published guidelines. Potential reasons for the low levels of compliance include lack of awareness, time lag for the information to be disseminated in the medical community, lack of endorsement by local opinion leaders, or local barriers to implementation of these guidelines. Unfortunately, little is known about physicians' familiarity and attitude toward NHAP guidelines use. Efforts to improve the effectiveness of pneumonia care will depend on future studies aiming at identifying factors that influence nonadherence.
Severity of illness had a significant influence on the prescription pattern of antimicrobial therapy. As the PSI increased, treatment with a fluoroquinolone or with combination therapy of nonpseudomonal third‐generation cephalosporin plus macrolide was replaced by a broader spectrum of antimicrobial coverage. We believe that healthcare providers' prescriptions may be influenced by the recommendations of the ATS guidelines for the treatment of health care associated pneumonia,7 in which antimicrobial therapy for severely ill patients admitted from long‐term care facilities is directed toward multidrug resistant pathogens. The validity of this practice, however, remains the subject of intense debate,2225 driven by the absence of randomized trials showing improved morbidity and mortality.
Few formal clinical trials exist to guide the length of therapy of hospitalized patients with NHAP. The usual recommendation ranges from 7 to 14 days.16, 26 The median duration of 8 days observed in the current study is consistent with length of therapy advocated in the literature.16 Yet, prolonging antibiotic duration has been suggested when clinical severity of illness is high, comorbid illnesses are multiple, and expected resolution is delayed.27 Arguing against such a practice is evidence from meta‐analysis,28 expert reviews,29 and clinical investigation.30 Prescribing principles are nevertheless unlikely to induce substantial change unless their dissemination and promotion is sustained through intensive continuing educational programs for physicians and pharmacists.3133
Our study has a number of limitations. First, the cohort group described in this investigation consists of institutionalized patients in Western New York and hence the antibiotic prescribing patterns may vary in other locations. Second, we did not have adequate microbial information to fully assess the appropriateness of antimicrobial therapy. Third, the absence of microbial etiology may have resulted in incorrect identification of patients with pneumonia. Further, retrospective data extraction is notoriously imperfect, and pneumonia cases may have been missed because of either coding errors or atypical manifestations. However, we have used strict inclusion criteria in to minimize any potential bias. Fourth, the results of this study describe patterns of antibiotic utilization in the treatment of NHAP but do not provide reasoning for such a practice. The rationale behind these practices can only be discerned by a survey of healthcare providers.
In conclusion, we have observed in this study a poor compliance with the current guidelines for the treatment of NHAP. It is generally accepted that physicians' prescribing habits are influenced by their understanding of the pathophysiology and epidemiology of the infection being treated, as well as the pharmacology and spectrum of available antimicrobials. In the absence of outcome data, translation of this knowledge into practice may be influenced by a number of factors, such as the physician's preference, the academic milieu in which the practice occurs, and more importantly, by the patients' clinical condition.
- Pneumonia in the long‐term‐care facility.Infect Control Hosp Epidemiol.2002;23:159–164. .
- Canadian guidelines for the initial management of an evidence based update by the Canadian Infectious Diseases Society and the Canadian Thoracic Society. The Pneumonia Working Group.Clin Infect Dis.2000;31:383–421. , , , , .
- Antimicrobial resistance in long‐term care facilities.Infect Control Hosp Epidemiol.1996;17:129–140. , , , et al.
- Etiology of severe pneumonia in the very elderly.Am J Respir Crit Care Med.2001;163:645–651. , , , .
- Tensions in antibiotic prescribing: pitting social concerns against the interests of individual patients.J Gen Intern Med.2002;17:87–94. , , , .
- Update of practice guidelines for the management of community‐acquired pneumonia in immunocompetent adults.Clin Infect Dis.2003;37:1405–1433. , , , , , .
- American Thoracic Society and Infectious Diseases Society of America. Guidelines for the management of adults with hospital acquired, ventilator‐associated, and health care associated pneumonia.Am J Respir Crit Care Med.2005;171:388–416.
- Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the management of community‐acquired pneumonia in adults.Clin Infect Dis.2007;44:S27–S72. , , , et al.
- A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chron Dis.1987;40:373–383. , , , .
- New York State Department of Health. Hospital and Community Patient Review Instrument. DOH‐694.Albany, NY:Department of Health;1989.
- A prediction rule to identify low‐risk patients with community‐acquired pneumonia.N Engl J Med.1997;336:243–250. , , , et al.
- Statistical Analysis with Missing Data.New York:John Wiley 1987. , .
- A randomized study of ciprofloxacin versus ceftriaxone in the treatment of nursing home‐acquired lower respiratory tract infections.J Am Geriatr Soc.1991;39:979–985. , , , , .
- Prospective study of lower respiratory tract infections in an extended‐care nursing home program: potential role of oral ciprofloxacin.Am J Med.1988;85:164–171. , , , et al.
- Effect of a clinical pathway to reduce hospitalizations in nursing home residents with pneumonia: a randomized controlled trial.JAMA2006;295:2503–2510. , , .
- Treatment guideline for nursing‐home acquired pneumonia based on community practice.J Am Geriatr Soc.2000;48:82–88. , .
- Decreased mortality after implementation of a treatment guideline for community‐acquired pneumonia.Am J Med.2001;110:451–457. , , , , , .
- A controlled trial of a critical pathway for treatment of community‐acquired pneumonia. CAPITAL Study Investigators. Community‐Acquired Pneumonia Intervention Trial Assessing Levofloxacin.JAMA.2000;283:749–755. , , , , , .
- Improvement of process‐of‐care and outcomes after implementing a guideline for the management of community‐acquired pneumonia: a controlled before‐and‐after design study.Clin Infect Dis.2004;39:955–963. , , , et al.
- Guidelines for the treatment of community‐acquired pneumonia: predictors of adherence and outcome.Am J Respir Crit Care Med.2005;172:757–762. , , , et al.
- Antibiotic prescription for community‐acquired pneumonia in the intensive care unit: impact of adherence to Infectious Diseases Society of America guidelines on survival.Clin Infect Dis.2005;41:1709–1716. , , , et al.
- Nosocomial or healthcare facility‐related pneumonia in adults.Curr Infect Dis Rep.2000;2:215–223. , , .
- Pneumonia in the older patient.Clin Chest Med.2007;28:751–771. , .
- Guidelines for the management of adults with health care‐associated pneumonia: implications for nursing facility residents.Consult Pharm.2006;21:719–725. .
- Health‐care associated pneumonia: a critical appraisal to improve identification, management, and outcomes‐proceedings of the HCAP summit.Clin Infect Dis.2008;46:S296–S334. , , , et al.
- Pneumonia in a long term care facility: a prospective study of outcome.Arch Intern Med.1996;156:2365–2370. , , , .
- Understanding the natural history of community‐acquired pneumonia resolution: vital information for optimizing duration of therapy.Clin Infect Dis.2004;39:1791–1793. .
- Efficacy of short course antibiotic regimens for community‐acquired pneumonia: a meta‐analysis.Am J Med.2007;120:783–790. , , , .
- How long should we treat community‐acquired pneumonia?Curr Opin Infect Dis.2007;20:177–181. , .
- High‐dose, short course levofloxacin for community‐acquired pneumonia: a new treatment paradigm.Clin Infect Dis.2003;37:752–760. , , .
- Improving the quality of antibiotic prescription patterns in general practice: the role of educational intervention.Med J Aust.1994;160:502–505. , , , , .
- Drug prescription attitudes and behaviour of general practitioners: effects of a problem oriented educational programme.Eur J Clin Pharmacol.1995;47:381–387. , , , , , .
- Interventions to improve antibiotic prescribing practices for hospital inpatients.Cochrane Database Syst Rev.2005;CD003543. , , , et al.
Pneumonia is the second most common infection in nursing home residents after urinary tract infection, and is the most common reason for transfer to the hospital.1 Although it remains difficult to determine the incidence of pneumonia in institutionalized elderly patients, an estimated 4 million cases of nursing homeacquired pneumonia (NHAP) occur annually in the United States and result in more than 600,000 emergency department visits.2 In the past 2 decades, multiple studies have documented the rapid rise in drug resistance among common pathogens responsible for pneumonia in the elderly and the acquisition of multidrug‐resistant organisms in residents of long‐term care facilities.3, 4 Health care practitioners are faced with the dilemma of attempting to limit broad‐spectrum antimicrobial drug use while striving to maximize therapeutic efficacy in individual patients.5 The current practice guidelines for the management of NHAP from various professional societies provide mixed messages on the class of antibiotics for patients requiring hospitalization.2, 68 While the 2000 Canadian and the 2003 Infectious Disease Society of America (IDSA) guidelines advocate a community‐acquired pneumonia‐like approach to therapy, the 2005 American Thoracic Society (ATS)/IDSA guidelines and the 2007 IDSA/ATS guidelines consider drug‐resistant pathogens (DRPs) (ie, methicillin‐resistant Staphylococcus aureus [MRSA] and Pseudomonas aeruginosa) to be major etiologic agents in NHAP and thus the empiric treatment recommendations focus specifically on these pathogens (Table 1).
|
2003 IDSA |
1. Parenteral third‐generation cephalosporin or ampicillin sulbactam + macrolide; or |
2. Parenteral fluoroquinolone alone |
2000 Canadian |
1. Parenteral fluoroquinolone alone; or |
2. Parenteral third‐generation, or fourth‐generation cephalosporin + macrolide |
2005 ATS/IDSA |
1. Antipseudomonal cephalosporin or antipseudomonal carbapenem or antipseudomonal penicillin + antipseudomonal fluoroquinolone or aminoglycoside + anti‐methicillin‐resistant Staphylococcus agents |
Given these differences in antibiotic recommendations among the various guidelines, we sought to examine the antimicrobial prescription patterns in hospitalized non‐critically‐ill patients with NHAP in multiple tertiary care facilities vis‐‐vis the population demographics and clinical characteristics.
Methods
Study Population
This retrospective study was conducted in 3 tertiary‐care hospitals (Erie County Medical Center, Millard Fillmore Hospital, and Buffalo General Hospital) in the city of Buffalo, New York. These hospitals account for 96% of admissions from nursing homes in Erie County. The Institutional Review Board approved the study and certified that it met the criteria for a waiver of the requirement to obtain informed consent. All medical charts of adult patients with pneumonia listed under admission diagnosis or discharge diagnosis (International Classification of Diseases, ninth revision, Clinical Modification Codes [ICD‐9‐CM] [35] codes 480.0480.9, 481, 482.0482.9, 483.0483.8, 485, 486, 487.0, and 507.0) between April 2005 and December 2007 were abstracted. The records were searched for place of residence prior to admission and all patients residing in nursing homes for 30 days or more were selected for review. Inclusion criteria included the presence of new or increased radiographic abnormalities plus 2 or more of the following symptoms and signs: new or increased cough, new or increased sputum production, and temperature greater than 38C. Patients who met at least one of the following criteria were excluded: (1) admission to a critical care unit from the emergency department; (2) discharge within 24 hours; (3) human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) or immunocompromised; (4) transfer from another hospital; or (5) receiving active chemotherapy. Patients with multiple admissions were included only once to ensure independence of observations.
Data Collection
Data collected included information on sociodemographic characteristics, admitting service (University‐affiliated or private service), comorbidities, preadmission functional status, do not resuscitate (DNR) order, and prior antibiotic therapy. Antibiotic information was comprised of the name of the antibiotic, start and stop dates (including postdischarge), monotherapy or combination therapy, and route of administration. Antimicrobials were assigned to 1 of the following categories: macrolides (azithromycin, clarithromycin), lincosamide (clindamycin), fluoroquinolones (ciprofloxacin, levofloxacin, moxifloxacin), carbapenems (ertapenem, imipenem), cephalosporins (ceftriaxone, cefpodoxime, cefepime), and ureidopenicillins (piperacillin‐tazobactam). Patients who died during the hospital stay before completion of therapy were assigned 14 days of antibiotic therapy.
The burden of comorbidities was assessed by the Charlson Index.9 The Activity of Daily Living (ADL) score was abstracted from a standardized patient‐review instrument included in all patients' charts.10 Patients were assigned an ADL score in each of the 6 major areas of activity: eating, toileting, feeding, bathing, mobility, and continence; ranging from 1 if they were fully independent, 2 if they were partially independent, and 3 if they were completely dependent. The ADL score was calculated by adding the points assigned for each activity, and it ranged from 6 to 18. Three categories were arbitrarily created: ADL I, corresponding to ADL scores from 6 to 8; ADL II, scores from 9 to 13; and ADL III, scores from 14 to 18.4
The Pneumonia Severity Index Score (PSI)11 was also calculated. The PSI is a validated disease‐severity classification system based on age, sex, nursing home residence, 5 comorbid illnesses, vital signs on admission, mental status, 7 laboratory values, and the findings on chest roentgenograms. Based on the scoring system, patients were stratified into 5 categories or classes of risk for in‐hospital mortality. Class I patients have the lowest disease severity while class V have the highest disease severity.
Statistics
Data were analyzed using the NCSS 2000 Statistical Analysis System (NCSS, Kaysville, UT). Continuous variables were tested for normal distribution using the Kolmogorov‐Smirnov test. Results are expressed as means standard deviation (SD). Univariate analysis was carried out using the chi‐square test and Fisher's exact test for categorical data and the t test for independent samples for continuous variables. Missing values for ADL and Charlson scores were encountered at <3% of the total population sample. Multiple regression models of available variables were utilized to predict missing values as described by Little and Rubin.12 All tests were 2‐tailed and statistical significance was determined at the 5% level.
Results
A total of 397 subjects with NHAP were included in the study. The mean age of the cohort group was 76.8 13.5 years. Eighty percent had 2 or more chronic diseases. Degenerative nervous system, cardiac, and pulmonary diseases accounted for the majority of underlying comorbidities. Demographic and clinical characteristics of the study population are presented in Table 2. At the time of admission, 17% of patients had received antimicrobial therapy for a respiratory ailment within the last week prior to transfer to an acute care facility. The most commonly prescribed agents at the nursing home were an oral fluoroquinolone (81%), a cephalosporin (14%), or a macrolide (3%).
| |
Characteristic (n = 397) | |
Age (years), mean (SD) | 76.8 (13.5) |
Male, n (%) | 162 (41) |
Underlying comorbidities, n (%) | |
Cardiac diseases | 135 (34) |
Pulmonary diseases | 129 (32) |
Cerebrovascular accident | 98 (25) |
Diabetes mellitus | 138 (35) |
Dementia | 179 (45) |
DNR, n (%) | 42 (11) |
Activity of daily living, n (%) | |
ADL I | 57 (14) |
ADL II | 150 (38) |
ADL III | 190 (48) |
Pneumonia Severity Index, n (%) | |
Class II | 13 (3) |
Class III | 34 (8) |
Class IV | 177 (45) |
Class V | 173 (44) |
Bacteremia, n (%) | 48 (12) |
Of the 397 patients who met the criteria for NHAP, all but 5 patients received antimicrobial therapy. The 3 most commonly used antimicrobial compounds for inpatient treatment were fluoroquinolones (51.4%), ceftriaxone (45.0%), and azithromycin (42.1%). None of the participating hospitals had an antibiotic restriction policy for the use of fluoroquinolones or vancomycin.
Monotherapy was prescribed in 57.4%. Fluoroquinolones represented 79.5% of these cases. The other monotherapy choices included a third‐generation cephalosporin (10.7%), piperacillin/tazobactam (8%), and vancomycin (0.2%). Combination therapy consisted mainly of a macrolide plus a third‐generation cephalosporin (74/168; 44%). Other combination regimens included vancomycin plus piperacillin/tazobactam plus ciprofloxacin (35%), vancomycin plus imipenem plus ciprofloxacin (9%), vancomycin plus piperacillin/tazobactam plus azithromycin (4%), vancomycin plus piperacillin/tazobactam (7%), and piperacillin/tazobactam plus azithromycin (1%). Figure 1 shows the distribution of vancomycin and fluoroquinolones use across the different age groups. While the use of fluoroquinolones (P = 0.76) was comparable between groups, there was a significant trend in prescribing less vancomycin with increasing age (P < 0.001). As for the rest of the antibiotics, there was no difference in the overall use of macrolides (P = 0.53), cephalosporins (P = 0.84), or carbapenems (P = 0.67) among age groups. Clindamycin was only used in 9 (2%) out of 392 patients. None of the patients had an aminoglycoside or a sulfa drug prescribed. We also found no difference in terms of antibiotic choice or use of combination therapy among the 3 hospitals (P = 0.78, and P = 0.52; respectively).

Antibiotic choices were influenced by severity of illness. There was an inverse relationship between PSI classes and the use of either fluoroquinolones or ceftriaxone plus azithromycin (P = 0.02) (Figure 2). Patients with higher acuity of illness were more likely to receive combination regimens that include vancomycin plus piperacillin/tazobactam than those with lower acuity of illness (P < 0.001). Neither the comorbidity index nor the ADL scores had a significant impact on the use of combination therapy (P = 0.49 and P = 0.2; respectively). There was a trend toward association between increasing ADL score and the use of vancomycin plus piperacillin/tazobactam but it did not reach statistical significance (P = 0.06). Of interest, patients who were admitted on the University‐affiliated service were more likely to receive combination therapy than those who were under the care of private service (P < 0.001) (Figure 3). Ceftriaxone plus azithromycin accounted for the majority of combination regimens irrespective of physicians' affiliation.


Overall, there were more patients who received antibiotic therapy in compliance with the 2003 IDSA guidelines6 compared with the 2005 ATS/IDSA guidelines7 (65% vs. 19%, respectively; P < 0.001). A positive correlation was noted between severity of illness and adherence to the 2005 ATS/IDSA antimicrobial recommendations (P = 0.02). However, neither the burden of comorbidities nor the functional status was associated with the use of guidelines (P = 0.76 and P = 0.43; respectively).
Duration of therapy ranged from 3 to 21 days with a median of 8 days. The choice of antibiotics, burden of comorbidities, DNR status, or PSI scores had no correlation with antibiotic duration. Only the presence of bacteremia was associated with more than 8 days of antibiotic duration (P < 0.001) (Figure 4). On average, bacteremic patients received 10.1 3.3 (range, 6‐21) days of antimicrobial therapy compared to 7.8 4.1 (range, 319) days for nonbacteremic cases (P < 0.001). During the course of hospitalization, change in antibiotics occurred in 35 (9%) out of the 392 patients, with the majority of substitutions affecting those who were initially prescribed a regimen that included vancomycin plus piperacillin/tazobactam. In these cases, patients were most commonly switched to fluoroquinolones (n = 20), followed by cephalosporins (n = 11).

Discussion
Our study suggests that antimicrobial selection among hospitalized nursing homes patients with pneumonia is influenced by patients' age, severity of illness, and provider's academic affiliation.
This is the first comprehensive study, to our knowledge, to report on the type, distribution, and pattern of antimicrobials prescribed among institutionalized patients requiring hospital admission. Various treatment regimens have been investigated in the last 2 decades using both retrospective and prospective randomized clinical trials to examine the efficacy and safety of parenteral and oral antibiotics in nursing homes.1316 However, there are no randomized controlled clinical trials for the treatment of hospitalized NHAP on which to base treatment recommendations. For some healthcare providers, the treatment parallels the coverage of patients with community‐acquired pneumonia; for others, broad‐spectrum coverage is the norm. In the absence of validated guidelines, the present investigation shows that prescription patterns varied across demographic and clinical characteristics. Fluoroquinolones were the preferred agents for the initial therapy of NHAP across all age groups, probably because of their single daily dosing, broad spectrum coverage against typical and atypical pathogens, and favorable side effect profile. Conversely, the use of vancomycin tended to decline in older age groups. This decline could be attributed to the need for frequent monitoring of trough levels when venous access can be difficult, lack of oral formulation, or potential toxicity. Further studies are needed to examine the validity of this pattern.
To our knowledge, compliance with guidelines regarding treatment of NHAP has not been previously reported. Despite recent studies suggesting that adherence to community‐acquired pneumonia guidelines resulted in reduced need for hospitalization, shorter stays, and lower mortality,1721 our findings indicated a rather low compliance with the most recently published guidelines. Potential reasons for the low levels of compliance include lack of awareness, time lag for the information to be disseminated in the medical community, lack of endorsement by local opinion leaders, or local barriers to implementation of these guidelines. Unfortunately, little is known about physicians' familiarity and attitude toward NHAP guidelines use. Efforts to improve the effectiveness of pneumonia care will depend on future studies aiming at identifying factors that influence nonadherence.
Severity of illness had a significant influence on the prescription pattern of antimicrobial therapy. As the PSI increased, treatment with a fluoroquinolone or with combination therapy of nonpseudomonal third‐generation cephalosporin plus macrolide was replaced by a broader spectrum of antimicrobial coverage. We believe that healthcare providers' prescriptions may be influenced by the recommendations of the ATS guidelines for the treatment of health care associated pneumonia,7 in which antimicrobial therapy for severely ill patients admitted from long‐term care facilities is directed toward multidrug resistant pathogens. The validity of this practice, however, remains the subject of intense debate,2225 driven by the absence of randomized trials showing improved morbidity and mortality.
Few formal clinical trials exist to guide the length of therapy of hospitalized patients with NHAP. The usual recommendation ranges from 7 to 14 days.16, 26 The median duration of 8 days observed in the current study is consistent with length of therapy advocated in the literature.16 Yet, prolonging antibiotic duration has been suggested when clinical severity of illness is high, comorbid illnesses are multiple, and expected resolution is delayed.27 Arguing against such a practice is evidence from meta‐analysis,28 expert reviews,29 and clinical investigation.30 Prescribing principles are nevertheless unlikely to induce substantial change unless their dissemination and promotion is sustained through intensive continuing educational programs for physicians and pharmacists.3133
Our study has a number of limitations. First, the cohort group described in this investigation consists of institutionalized patients in Western New York and hence the antibiotic prescribing patterns may vary in other locations. Second, we did not have adequate microbial information to fully assess the appropriateness of antimicrobial therapy. Third, the absence of microbial etiology may have resulted in incorrect identification of patients with pneumonia. Further, retrospective data extraction is notoriously imperfect, and pneumonia cases may have been missed because of either coding errors or atypical manifestations. However, we have used strict inclusion criteria in to minimize any potential bias. Fourth, the results of this study describe patterns of antibiotic utilization in the treatment of NHAP but do not provide reasoning for such a practice. The rationale behind these practices can only be discerned by a survey of healthcare providers.
In conclusion, we have observed in this study a poor compliance with the current guidelines for the treatment of NHAP. It is generally accepted that physicians' prescribing habits are influenced by their understanding of the pathophysiology and epidemiology of the infection being treated, as well as the pharmacology and spectrum of available antimicrobials. In the absence of outcome data, translation of this knowledge into practice may be influenced by a number of factors, such as the physician's preference, the academic milieu in which the practice occurs, and more importantly, by the patients' clinical condition.
Pneumonia is the second most common infection in nursing home residents after urinary tract infection, and is the most common reason for transfer to the hospital.1 Although it remains difficult to determine the incidence of pneumonia in institutionalized elderly patients, an estimated 4 million cases of nursing homeacquired pneumonia (NHAP) occur annually in the United States and result in more than 600,000 emergency department visits.2 In the past 2 decades, multiple studies have documented the rapid rise in drug resistance among common pathogens responsible for pneumonia in the elderly and the acquisition of multidrug‐resistant organisms in residents of long‐term care facilities.3, 4 Health care practitioners are faced with the dilemma of attempting to limit broad‐spectrum antimicrobial drug use while striving to maximize therapeutic efficacy in individual patients.5 The current practice guidelines for the management of NHAP from various professional societies provide mixed messages on the class of antibiotics for patients requiring hospitalization.2, 68 While the 2000 Canadian and the 2003 Infectious Disease Society of America (IDSA) guidelines advocate a community‐acquired pneumonia‐like approach to therapy, the 2005 American Thoracic Society (ATS)/IDSA guidelines and the 2007 IDSA/ATS guidelines consider drug‐resistant pathogens (DRPs) (ie, methicillin‐resistant Staphylococcus aureus [MRSA] and Pseudomonas aeruginosa) to be major etiologic agents in NHAP and thus the empiric treatment recommendations focus specifically on these pathogens (Table 1).
|
2003 IDSA |
1. Parenteral third‐generation cephalosporin or ampicillin sulbactam + macrolide; or |
2. Parenteral fluoroquinolone alone |
2000 Canadian |
1. Parenteral fluoroquinolone alone; or |
2. Parenteral third‐generation, or fourth‐generation cephalosporin + macrolide |
2005 ATS/IDSA |
1. Antipseudomonal cephalosporin or antipseudomonal carbapenem or antipseudomonal penicillin + antipseudomonal fluoroquinolone or aminoglycoside + anti‐methicillin‐resistant Staphylococcus agents |
Given these differences in antibiotic recommendations among the various guidelines, we sought to examine the antimicrobial prescription patterns in hospitalized non‐critically‐ill patients with NHAP in multiple tertiary care facilities vis‐‐vis the population demographics and clinical characteristics.
Methods
Study Population
This retrospective study was conducted in 3 tertiary‐care hospitals (Erie County Medical Center, Millard Fillmore Hospital, and Buffalo General Hospital) in the city of Buffalo, New York. These hospitals account for 96% of admissions from nursing homes in Erie County. The Institutional Review Board approved the study and certified that it met the criteria for a waiver of the requirement to obtain informed consent. All medical charts of adult patients with pneumonia listed under admission diagnosis or discharge diagnosis (International Classification of Diseases, ninth revision, Clinical Modification Codes [ICD‐9‐CM] [35] codes 480.0480.9, 481, 482.0482.9, 483.0483.8, 485, 486, 487.0, and 507.0) between April 2005 and December 2007 were abstracted. The records were searched for place of residence prior to admission and all patients residing in nursing homes for 30 days or more were selected for review. Inclusion criteria included the presence of new or increased radiographic abnormalities plus 2 or more of the following symptoms and signs: new or increased cough, new or increased sputum production, and temperature greater than 38C. Patients who met at least one of the following criteria were excluded: (1) admission to a critical care unit from the emergency department; (2) discharge within 24 hours; (3) human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) or immunocompromised; (4) transfer from another hospital; or (5) receiving active chemotherapy. Patients with multiple admissions were included only once to ensure independence of observations.
Data Collection
Data collected included information on sociodemographic characteristics, admitting service (University‐affiliated or private service), comorbidities, preadmission functional status, do not resuscitate (DNR) order, and prior antibiotic therapy. Antibiotic information was comprised of the name of the antibiotic, start and stop dates (including postdischarge), monotherapy or combination therapy, and route of administration. Antimicrobials were assigned to 1 of the following categories: macrolides (azithromycin, clarithromycin), lincosamide (clindamycin), fluoroquinolones (ciprofloxacin, levofloxacin, moxifloxacin), carbapenems (ertapenem, imipenem), cephalosporins (ceftriaxone, cefpodoxime, cefepime), and ureidopenicillins (piperacillin‐tazobactam). Patients who died during the hospital stay before completion of therapy were assigned 14 days of antibiotic therapy.
The burden of comorbidities was assessed by the Charlson Index.9 The Activity of Daily Living (ADL) score was abstracted from a standardized patient‐review instrument included in all patients' charts.10 Patients were assigned an ADL score in each of the 6 major areas of activity: eating, toileting, feeding, bathing, mobility, and continence; ranging from 1 if they were fully independent, 2 if they were partially independent, and 3 if they were completely dependent. The ADL score was calculated by adding the points assigned for each activity, and it ranged from 6 to 18. Three categories were arbitrarily created: ADL I, corresponding to ADL scores from 6 to 8; ADL II, scores from 9 to 13; and ADL III, scores from 14 to 18.4
The Pneumonia Severity Index Score (PSI)11 was also calculated. The PSI is a validated disease‐severity classification system based on age, sex, nursing home residence, 5 comorbid illnesses, vital signs on admission, mental status, 7 laboratory values, and the findings on chest roentgenograms. Based on the scoring system, patients were stratified into 5 categories or classes of risk for in‐hospital mortality. Class I patients have the lowest disease severity while class V have the highest disease severity.
Statistics
Data were analyzed using the NCSS 2000 Statistical Analysis System (NCSS, Kaysville, UT). Continuous variables were tested for normal distribution using the Kolmogorov‐Smirnov test. Results are expressed as means standard deviation (SD). Univariate analysis was carried out using the chi‐square test and Fisher's exact test for categorical data and the t test for independent samples for continuous variables. Missing values for ADL and Charlson scores were encountered at <3% of the total population sample. Multiple regression models of available variables were utilized to predict missing values as described by Little and Rubin.12 All tests were 2‐tailed and statistical significance was determined at the 5% level.
Results
A total of 397 subjects with NHAP were included in the study. The mean age of the cohort group was 76.8 13.5 years. Eighty percent had 2 or more chronic diseases. Degenerative nervous system, cardiac, and pulmonary diseases accounted for the majority of underlying comorbidities. Demographic and clinical characteristics of the study population are presented in Table 2. At the time of admission, 17% of patients had received antimicrobial therapy for a respiratory ailment within the last week prior to transfer to an acute care facility. The most commonly prescribed agents at the nursing home were an oral fluoroquinolone (81%), a cephalosporin (14%), or a macrolide (3%).
| |
Characteristic (n = 397) | |
Age (years), mean (SD) | 76.8 (13.5) |
Male, n (%) | 162 (41) |
Underlying comorbidities, n (%) | |
Cardiac diseases | 135 (34) |
Pulmonary diseases | 129 (32) |
Cerebrovascular accident | 98 (25) |
Diabetes mellitus | 138 (35) |
Dementia | 179 (45) |
DNR, n (%) | 42 (11) |
Activity of daily living, n (%) | |
ADL I | 57 (14) |
ADL II | 150 (38) |
ADL III | 190 (48) |
Pneumonia Severity Index, n (%) | |
Class II | 13 (3) |
Class III | 34 (8) |
Class IV | 177 (45) |
Class V | 173 (44) |
Bacteremia, n (%) | 48 (12) |
Of the 397 patients who met the criteria for NHAP, all but 5 patients received antimicrobial therapy. The 3 most commonly used antimicrobial compounds for inpatient treatment were fluoroquinolones (51.4%), ceftriaxone (45.0%), and azithromycin (42.1%). None of the participating hospitals had an antibiotic restriction policy for the use of fluoroquinolones or vancomycin.
Monotherapy was prescribed in 57.4%. Fluoroquinolones represented 79.5% of these cases. The other monotherapy choices included a third‐generation cephalosporin (10.7%), piperacillin/tazobactam (8%), and vancomycin (0.2%). Combination therapy consisted mainly of a macrolide plus a third‐generation cephalosporin (74/168; 44%). Other combination regimens included vancomycin plus piperacillin/tazobactam plus ciprofloxacin (35%), vancomycin plus imipenem plus ciprofloxacin (9%), vancomycin plus piperacillin/tazobactam plus azithromycin (4%), vancomycin plus piperacillin/tazobactam (7%), and piperacillin/tazobactam plus azithromycin (1%). Figure 1 shows the distribution of vancomycin and fluoroquinolones use across the different age groups. While the use of fluoroquinolones (P = 0.76) was comparable between groups, there was a significant trend in prescribing less vancomycin with increasing age (P < 0.001). As for the rest of the antibiotics, there was no difference in the overall use of macrolides (P = 0.53), cephalosporins (P = 0.84), or carbapenems (P = 0.67) among age groups. Clindamycin was only used in 9 (2%) out of 392 patients. None of the patients had an aminoglycoside or a sulfa drug prescribed. We also found no difference in terms of antibiotic choice or use of combination therapy among the 3 hospitals (P = 0.78, and P = 0.52; respectively).

Antibiotic choices were influenced by severity of illness. There was an inverse relationship between PSI classes and the use of either fluoroquinolones or ceftriaxone plus azithromycin (P = 0.02) (Figure 2). Patients with higher acuity of illness were more likely to receive combination regimens that include vancomycin plus piperacillin/tazobactam than those with lower acuity of illness (P < 0.001). Neither the comorbidity index nor the ADL scores had a significant impact on the use of combination therapy (P = 0.49 and P = 0.2; respectively). There was a trend toward association between increasing ADL score and the use of vancomycin plus piperacillin/tazobactam but it did not reach statistical significance (P = 0.06). Of interest, patients who were admitted on the University‐affiliated service were more likely to receive combination therapy than those who were under the care of private service (P < 0.001) (Figure 3). Ceftriaxone plus azithromycin accounted for the majority of combination regimens irrespective of physicians' affiliation.


Overall, there were more patients who received antibiotic therapy in compliance with the 2003 IDSA guidelines6 compared with the 2005 ATS/IDSA guidelines7 (65% vs. 19%, respectively; P < 0.001). A positive correlation was noted between severity of illness and adherence to the 2005 ATS/IDSA antimicrobial recommendations (P = 0.02). However, neither the burden of comorbidities nor the functional status was associated with the use of guidelines (P = 0.76 and P = 0.43; respectively).
Duration of therapy ranged from 3 to 21 days with a median of 8 days. The choice of antibiotics, burden of comorbidities, DNR status, or PSI scores had no correlation with antibiotic duration. Only the presence of bacteremia was associated with more than 8 days of antibiotic duration (P < 0.001) (Figure 4). On average, bacteremic patients received 10.1 3.3 (range, 6‐21) days of antimicrobial therapy compared to 7.8 4.1 (range, 319) days for nonbacteremic cases (P < 0.001). During the course of hospitalization, change in antibiotics occurred in 35 (9%) out of the 392 patients, with the majority of substitutions affecting those who were initially prescribed a regimen that included vancomycin plus piperacillin/tazobactam. In these cases, patients were most commonly switched to fluoroquinolones (n = 20), followed by cephalosporins (n = 11).

Discussion
Our study suggests that antimicrobial selection among hospitalized nursing homes patients with pneumonia is influenced by patients' age, severity of illness, and provider's academic affiliation.
This is the first comprehensive study, to our knowledge, to report on the type, distribution, and pattern of antimicrobials prescribed among institutionalized patients requiring hospital admission. Various treatment regimens have been investigated in the last 2 decades using both retrospective and prospective randomized clinical trials to examine the efficacy and safety of parenteral and oral antibiotics in nursing homes.1316 However, there are no randomized controlled clinical trials for the treatment of hospitalized NHAP on which to base treatment recommendations. For some healthcare providers, the treatment parallels the coverage of patients with community‐acquired pneumonia; for others, broad‐spectrum coverage is the norm. In the absence of validated guidelines, the present investigation shows that prescription patterns varied across demographic and clinical characteristics. Fluoroquinolones were the preferred agents for the initial therapy of NHAP across all age groups, probably because of their single daily dosing, broad spectrum coverage against typical and atypical pathogens, and favorable side effect profile. Conversely, the use of vancomycin tended to decline in older age groups. This decline could be attributed to the need for frequent monitoring of trough levels when venous access can be difficult, lack of oral formulation, or potential toxicity. Further studies are needed to examine the validity of this pattern.
To our knowledge, compliance with guidelines regarding treatment of NHAP has not been previously reported. Despite recent studies suggesting that adherence to community‐acquired pneumonia guidelines resulted in reduced need for hospitalization, shorter stays, and lower mortality,1721 our findings indicated a rather low compliance with the most recently published guidelines. Potential reasons for the low levels of compliance include lack of awareness, time lag for the information to be disseminated in the medical community, lack of endorsement by local opinion leaders, or local barriers to implementation of these guidelines. Unfortunately, little is known about physicians' familiarity and attitude toward NHAP guidelines use. Efforts to improve the effectiveness of pneumonia care will depend on future studies aiming at identifying factors that influence nonadherence.
Severity of illness had a significant influence on the prescription pattern of antimicrobial therapy. As the PSI increased, treatment with a fluoroquinolone or with combination therapy of nonpseudomonal third‐generation cephalosporin plus macrolide was replaced by a broader spectrum of antimicrobial coverage. We believe that healthcare providers' prescriptions may be influenced by the recommendations of the ATS guidelines for the treatment of health care associated pneumonia,7 in which antimicrobial therapy for severely ill patients admitted from long‐term care facilities is directed toward multidrug resistant pathogens. The validity of this practice, however, remains the subject of intense debate,2225 driven by the absence of randomized trials showing improved morbidity and mortality.
Few formal clinical trials exist to guide the length of therapy of hospitalized patients with NHAP. The usual recommendation ranges from 7 to 14 days.16, 26 The median duration of 8 days observed in the current study is consistent with length of therapy advocated in the literature.16 Yet, prolonging antibiotic duration has been suggested when clinical severity of illness is high, comorbid illnesses are multiple, and expected resolution is delayed.27 Arguing against such a practice is evidence from meta‐analysis,28 expert reviews,29 and clinical investigation.30 Prescribing principles are nevertheless unlikely to induce substantial change unless their dissemination and promotion is sustained through intensive continuing educational programs for physicians and pharmacists.3133
Our study has a number of limitations. First, the cohort group described in this investigation consists of institutionalized patients in Western New York and hence the antibiotic prescribing patterns may vary in other locations. Second, we did not have adequate microbial information to fully assess the appropriateness of antimicrobial therapy. Third, the absence of microbial etiology may have resulted in incorrect identification of patients with pneumonia. Further, retrospective data extraction is notoriously imperfect, and pneumonia cases may have been missed because of either coding errors or atypical manifestations. However, we have used strict inclusion criteria in to minimize any potential bias. Fourth, the results of this study describe patterns of antibiotic utilization in the treatment of NHAP but do not provide reasoning for such a practice. The rationale behind these practices can only be discerned by a survey of healthcare providers.
In conclusion, we have observed in this study a poor compliance with the current guidelines for the treatment of NHAP. It is generally accepted that physicians' prescribing habits are influenced by their understanding of the pathophysiology and epidemiology of the infection being treated, as well as the pharmacology and spectrum of available antimicrobials. In the absence of outcome data, translation of this knowledge into practice may be influenced by a number of factors, such as the physician's preference, the academic milieu in which the practice occurs, and more importantly, by the patients' clinical condition.
- Pneumonia in the long‐term‐care facility.Infect Control Hosp Epidemiol.2002;23:159–164. .
- Canadian guidelines for the initial management of an evidence based update by the Canadian Infectious Diseases Society and the Canadian Thoracic Society. The Pneumonia Working Group.Clin Infect Dis.2000;31:383–421. , , , , .
- Antimicrobial resistance in long‐term care facilities.Infect Control Hosp Epidemiol.1996;17:129–140. , , , et al.
- Etiology of severe pneumonia in the very elderly.Am J Respir Crit Care Med.2001;163:645–651. , , , .
- Tensions in antibiotic prescribing: pitting social concerns against the interests of individual patients.J Gen Intern Med.2002;17:87–94. , , , .
- Update of practice guidelines for the management of community‐acquired pneumonia in immunocompetent adults.Clin Infect Dis.2003;37:1405–1433. , , , , , .
- American Thoracic Society and Infectious Diseases Society of America. Guidelines for the management of adults with hospital acquired, ventilator‐associated, and health care associated pneumonia.Am J Respir Crit Care Med.2005;171:388–416.
- Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the management of community‐acquired pneumonia in adults.Clin Infect Dis.2007;44:S27–S72. , , , et al.
- A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chron Dis.1987;40:373–383. , , , .
- New York State Department of Health. Hospital and Community Patient Review Instrument. DOH‐694.Albany, NY:Department of Health;1989.
- A prediction rule to identify low‐risk patients with community‐acquired pneumonia.N Engl J Med.1997;336:243–250. , , , et al.
- Statistical Analysis with Missing Data.New York:John Wiley 1987. , .
- A randomized study of ciprofloxacin versus ceftriaxone in the treatment of nursing home‐acquired lower respiratory tract infections.J Am Geriatr Soc.1991;39:979–985. , , , , .
- Prospective study of lower respiratory tract infections in an extended‐care nursing home program: potential role of oral ciprofloxacin.Am J Med.1988;85:164–171. , , , et al.
- Effect of a clinical pathway to reduce hospitalizations in nursing home residents with pneumonia: a randomized controlled trial.JAMA2006;295:2503–2510. , , .
- Treatment guideline for nursing‐home acquired pneumonia based on community practice.J Am Geriatr Soc.2000;48:82–88. , .
- Decreased mortality after implementation of a treatment guideline for community‐acquired pneumonia.Am J Med.2001;110:451–457. , , , , , .
- A controlled trial of a critical pathway for treatment of community‐acquired pneumonia. CAPITAL Study Investigators. Community‐Acquired Pneumonia Intervention Trial Assessing Levofloxacin.JAMA.2000;283:749–755. , , , , , .
- Improvement of process‐of‐care and outcomes after implementing a guideline for the management of community‐acquired pneumonia: a controlled before‐and‐after design study.Clin Infect Dis.2004;39:955–963. , , , et al.
- Guidelines for the treatment of community‐acquired pneumonia: predictors of adherence and outcome.Am J Respir Crit Care Med.2005;172:757–762. , , , et al.
- Antibiotic prescription for community‐acquired pneumonia in the intensive care unit: impact of adherence to Infectious Diseases Society of America guidelines on survival.Clin Infect Dis.2005;41:1709–1716. , , , et al.
- Nosocomial or healthcare facility‐related pneumonia in adults.Curr Infect Dis Rep.2000;2:215–223. , , .
- Pneumonia in the older patient.Clin Chest Med.2007;28:751–771. , .
- Guidelines for the management of adults with health care‐associated pneumonia: implications for nursing facility residents.Consult Pharm.2006;21:719–725. .
- Health‐care associated pneumonia: a critical appraisal to improve identification, management, and outcomes‐proceedings of the HCAP summit.Clin Infect Dis.2008;46:S296–S334. , , , et al.
- Pneumonia in a long term care facility: a prospective study of outcome.Arch Intern Med.1996;156:2365–2370. , , , .
- Understanding the natural history of community‐acquired pneumonia resolution: vital information for optimizing duration of therapy.Clin Infect Dis.2004;39:1791–1793. .
- Efficacy of short course antibiotic regimens for community‐acquired pneumonia: a meta‐analysis.Am J Med.2007;120:783–790. , , , .
- How long should we treat community‐acquired pneumonia?Curr Opin Infect Dis.2007;20:177–181. , .
- High‐dose, short course levofloxacin for community‐acquired pneumonia: a new treatment paradigm.Clin Infect Dis.2003;37:752–760. , , .
- Improving the quality of antibiotic prescription patterns in general practice: the role of educational intervention.Med J Aust.1994;160:502–505. , , , , .
- Drug prescription attitudes and behaviour of general practitioners: effects of a problem oriented educational programme.Eur J Clin Pharmacol.1995;47:381–387. , , , , , .
- Interventions to improve antibiotic prescribing practices for hospital inpatients.Cochrane Database Syst Rev.2005;CD003543. , , , et al.
- Pneumonia in the long‐term‐care facility.Infect Control Hosp Epidemiol.2002;23:159–164. .
- Canadian guidelines for the initial management of an evidence based update by the Canadian Infectious Diseases Society and the Canadian Thoracic Society. The Pneumonia Working Group.Clin Infect Dis.2000;31:383–421. , , , , .
- Antimicrobial resistance in long‐term care facilities.Infect Control Hosp Epidemiol.1996;17:129–140. , , , et al.
- Etiology of severe pneumonia in the very elderly.Am J Respir Crit Care Med.2001;163:645–651. , , , .
- Tensions in antibiotic prescribing: pitting social concerns against the interests of individual patients.J Gen Intern Med.2002;17:87–94. , , , .
- Update of practice guidelines for the management of community‐acquired pneumonia in immunocompetent adults.Clin Infect Dis.2003;37:1405–1433. , , , , , .
- American Thoracic Society and Infectious Diseases Society of America. Guidelines for the management of adults with hospital acquired, ventilator‐associated, and health care associated pneumonia.Am J Respir Crit Care Med.2005;171:388–416.
- Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the management of community‐acquired pneumonia in adults.Clin Infect Dis.2007;44:S27–S72. , , , et al.
- A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chron Dis.1987;40:373–383. , , , .
- New York State Department of Health. Hospital and Community Patient Review Instrument. DOH‐694.Albany, NY:Department of Health;1989.
- A prediction rule to identify low‐risk patients with community‐acquired pneumonia.N Engl J Med.1997;336:243–250. , , , et al.
- Statistical Analysis with Missing Data.New York:John Wiley 1987. , .
- A randomized study of ciprofloxacin versus ceftriaxone in the treatment of nursing home‐acquired lower respiratory tract infections.J Am Geriatr Soc.1991;39:979–985. , , , , .
- Prospective study of lower respiratory tract infections in an extended‐care nursing home program: potential role of oral ciprofloxacin.Am J Med.1988;85:164–171. , , , et al.
- Effect of a clinical pathway to reduce hospitalizations in nursing home residents with pneumonia: a randomized controlled trial.JAMA2006;295:2503–2510. , , .
- Treatment guideline for nursing‐home acquired pneumonia based on community practice.J Am Geriatr Soc.2000;48:82–88. , .
- Decreased mortality after implementation of a treatment guideline for community‐acquired pneumonia.Am J Med.2001;110:451–457. , , , , , .
- A controlled trial of a critical pathway for treatment of community‐acquired pneumonia. CAPITAL Study Investigators. Community‐Acquired Pneumonia Intervention Trial Assessing Levofloxacin.JAMA.2000;283:749–755. , , , , , .
- Improvement of process‐of‐care and outcomes after implementing a guideline for the management of community‐acquired pneumonia: a controlled before‐and‐after design study.Clin Infect Dis.2004;39:955–963. , , , et al.
- Guidelines for the treatment of community‐acquired pneumonia: predictors of adherence and outcome.Am J Respir Crit Care Med.2005;172:757–762. , , , et al.
- Antibiotic prescription for community‐acquired pneumonia in the intensive care unit: impact of adherence to Infectious Diseases Society of America guidelines on survival.Clin Infect Dis.2005;41:1709–1716. , , , et al.
- Nosocomial or healthcare facility‐related pneumonia in adults.Curr Infect Dis Rep.2000;2:215–223. , , .
- Pneumonia in the older patient.Clin Chest Med.2007;28:751–771. , .
- Guidelines for the management of adults with health care‐associated pneumonia: implications for nursing facility residents.Consult Pharm.2006;21:719–725. .
- Health‐care associated pneumonia: a critical appraisal to improve identification, management, and outcomes‐proceedings of the HCAP summit.Clin Infect Dis.2008;46:S296–S334. , , , et al.
- Pneumonia in a long term care facility: a prospective study of outcome.Arch Intern Med.1996;156:2365–2370. , , , .
- Understanding the natural history of community‐acquired pneumonia resolution: vital information for optimizing duration of therapy.Clin Infect Dis.2004;39:1791–1793. .
- Efficacy of short course antibiotic regimens for community‐acquired pneumonia: a meta‐analysis.Am J Med.2007;120:783–790. , , , .
- How long should we treat community‐acquired pneumonia?Curr Opin Infect Dis.2007;20:177–181. , .
- High‐dose, short course levofloxacin for community‐acquired pneumonia: a new treatment paradigm.Clin Infect Dis.2003;37:752–760. , , .
- Improving the quality of antibiotic prescription patterns in general practice: the role of educational intervention.Med J Aust.1994;160:502–505. , , , , .
- Drug prescription attitudes and behaviour of general practitioners: effects of a problem oriented educational programme.Eur J Clin Pharmacol.1995;47:381–387. , , , , , .
- Interventions to improve antibiotic prescribing practices for hospital inpatients.Cochrane Database Syst Rev.2005;CD003543. , , , et al.
Copyright © 2010 Society of Hospital Medicine
Lower Extremity Ulcers
A 62‐year‐old man with hypertension, diabetes mellitus, and coronary artery disease (CAD), on peritoneal dialysis, presented with a nonhealing left lower extremity ulcer (Figure 1). Treatment with empiric antibiotics showed no improvement and cultures remained persistently negative. A surgical specimen revealed pathological changes consistent with calciphylaxis (Figures 2 and 3).



With a mortality between 30% and 80% and a 5‐year survival of 40%,1‐3 calciphylaxis, or calcific uremic arteriolopathy, is devastating. Dialysis and a calcium‐phosphate product above 60 mg2/dL2 increased the index of suspicion (our patient = 70).4 As visual findings may resemble vasculitis or atherosclerotic vascular lesions, biopsy remains the mainstay of diagnosis. Findings include intimal fibrosis, medial calcification, panniculitis, and fat necrosis.5
Management involves aggressive phosphate binding, preventing superinfection, and surgical debridement.6 The evidence for newer therapies (sodium thiosulfate, cinacalcet) appears promising,7‐10 while the benefit of parathyroidectomy is equivocal.11 Despite therapy, our patient developed new lesions (right lower extremity, penis) and opted for hospice services.
- Cecil Essentials of Medicine.6th ed.New York:W.B. Saunders;2003. , , , .
- Calciphylaxis: pathogenesis and therapy.J Cutan Med Surg.1998;2(4):245‐248. .
- Calciphylaxis: diagnosis and treatment.Adv Skin Wound Care.2001;14(6):309‐312. , .
- Calciphylaxis.Postgrad Med J.2001;77(911):557‐561. , , .
- Silverberg SG, DeLellis RA, Frable WJ, LiVolsi VA, Wick MR, eds.Silverberg's Principles and Practice of Surgical Pathology and Cytopathology. Vol.1‐2.4th ed.Philadelphia:Elsevier Churchill Livingstone;2006.
- Calciphylaxis: medical and surgical management of chronic extensive wounds in a renal dialysis population.Plast Reconstr Surg.2004;113(1):304‐312. , , , .
- Cinacalcet for secondary hyperparathyroidism in patients receiving hemodialysis.N Engl J Med.2004;350(15):1516‐1525. , , , et al.
- Rapid resolution of calciphylaxis with intravenous sodium thiosulfate and continuous venovenous haemofiltration using low calcium replacement fluid: case report.Nephrol Dial Transplant.2005;20(6):1260‐1262. , , .
- Successful treatment of calciphylaxis with intravenous sodium thiosulfate.Am J Kidney Dis.2004;43(6):1104‐1108. , , , .
- Intraperitoneal sodium thiosulfate for the treatment of calciphylaxis.Ren Fail.2006;28(4):361‐363. , .
- Therapy for calciphylaxis: an outcome analysis.Surgery.2003;134(6):941‐944; discussion 944‐945. , , , , .
A 62‐year‐old man with hypertension, diabetes mellitus, and coronary artery disease (CAD), on peritoneal dialysis, presented with a nonhealing left lower extremity ulcer (Figure 1). Treatment with empiric antibiotics showed no improvement and cultures remained persistently negative. A surgical specimen revealed pathological changes consistent with calciphylaxis (Figures 2 and 3).



With a mortality between 30% and 80% and a 5‐year survival of 40%,1‐3 calciphylaxis, or calcific uremic arteriolopathy, is devastating. Dialysis and a calcium‐phosphate product above 60 mg2/dL2 increased the index of suspicion (our patient = 70).4 As visual findings may resemble vasculitis or atherosclerotic vascular lesions, biopsy remains the mainstay of diagnosis. Findings include intimal fibrosis, medial calcification, panniculitis, and fat necrosis.5
Management involves aggressive phosphate binding, preventing superinfection, and surgical debridement.6 The evidence for newer therapies (sodium thiosulfate, cinacalcet) appears promising,7‐10 while the benefit of parathyroidectomy is equivocal.11 Despite therapy, our patient developed new lesions (right lower extremity, penis) and opted for hospice services.
A 62‐year‐old man with hypertension, diabetes mellitus, and coronary artery disease (CAD), on peritoneal dialysis, presented with a nonhealing left lower extremity ulcer (Figure 1). Treatment with empiric antibiotics showed no improvement and cultures remained persistently negative. A surgical specimen revealed pathological changes consistent with calciphylaxis (Figures 2 and 3).



With a mortality between 30% and 80% and a 5‐year survival of 40%,1‐3 calciphylaxis, or calcific uremic arteriolopathy, is devastating. Dialysis and a calcium‐phosphate product above 60 mg2/dL2 increased the index of suspicion (our patient = 70).4 As visual findings may resemble vasculitis or atherosclerotic vascular lesions, biopsy remains the mainstay of diagnosis. Findings include intimal fibrosis, medial calcification, panniculitis, and fat necrosis.5
Management involves aggressive phosphate binding, preventing superinfection, and surgical debridement.6 The evidence for newer therapies (sodium thiosulfate, cinacalcet) appears promising,7‐10 while the benefit of parathyroidectomy is equivocal.11 Despite therapy, our patient developed new lesions (right lower extremity, penis) and opted for hospice services.
- Cecil Essentials of Medicine.6th ed.New York:W.B. Saunders;2003. , , , .
- Calciphylaxis: pathogenesis and therapy.J Cutan Med Surg.1998;2(4):245‐248. .
- Calciphylaxis: diagnosis and treatment.Adv Skin Wound Care.2001;14(6):309‐312. , .
- Calciphylaxis.Postgrad Med J.2001;77(911):557‐561. , , .
- Silverberg SG, DeLellis RA, Frable WJ, LiVolsi VA, Wick MR, eds.Silverberg's Principles and Practice of Surgical Pathology and Cytopathology. Vol.1‐2.4th ed.Philadelphia:Elsevier Churchill Livingstone;2006.
- Calciphylaxis: medical and surgical management of chronic extensive wounds in a renal dialysis population.Plast Reconstr Surg.2004;113(1):304‐312. , , , .
- Cinacalcet for secondary hyperparathyroidism in patients receiving hemodialysis.N Engl J Med.2004;350(15):1516‐1525. , , , et al.
- Rapid resolution of calciphylaxis with intravenous sodium thiosulfate and continuous venovenous haemofiltration using low calcium replacement fluid: case report.Nephrol Dial Transplant.2005;20(6):1260‐1262. , , .
- Successful treatment of calciphylaxis with intravenous sodium thiosulfate.Am J Kidney Dis.2004;43(6):1104‐1108. , , , .
- Intraperitoneal sodium thiosulfate for the treatment of calciphylaxis.Ren Fail.2006;28(4):361‐363. , .
- Therapy for calciphylaxis: an outcome analysis.Surgery.2003;134(6):941‐944; discussion 944‐945. , , , , .
- Cecil Essentials of Medicine.6th ed.New York:W.B. Saunders;2003. , , , .
- Calciphylaxis: pathogenesis and therapy.J Cutan Med Surg.1998;2(4):245‐248. .
- Calciphylaxis: diagnosis and treatment.Adv Skin Wound Care.2001;14(6):309‐312. , .
- Calciphylaxis.Postgrad Med J.2001;77(911):557‐561. , , .
- Silverberg SG, DeLellis RA, Frable WJ, LiVolsi VA, Wick MR, eds.Silverberg's Principles and Practice of Surgical Pathology and Cytopathology. Vol.1‐2.4th ed.Philadelphia:Elsevier Churchill Livingstone;2006.
- Calciphylaxis: medical and surgical management of chronic extensive wounds in a renal dialysis population.Plast Reconstr Surg.2004;113(1):304‐312. , , , .
- Cinacalcet for secondary hyperparathyroidism in patients receiving hemodialysis.N Engl J Med.2004;350(15):1516‐1525. , , , et al.
- Rapid resolution of calciphylaxis with intravenous sodium thiosulfate and continuous venovenous haemofiltration using low calcium replacement fluid: case report.Nephrol Dial Transplant.2005;20(6):1260‐1262. , , .
- Successful treatment of calciphylaxis with intravenous sodium thiosulfate.Am J Kidney Dis.2004;43(6):1104‐1108. , , , .
- Intraperitoneal sodium thiosulfate for the treatment of calciphylaxis.Ren Fail.2006;28(4):361‐363. , .
- Therapy for calciphylaxis: an outcome analysis.Surgery.2003;134(6):941‐944; discussion 944‐945. , , , , .