Handoffs

Article Type
Changed
Mon, 01/02/2017 - 19:34
Display Headline
Two hearts beating as one

It had been a turbulent year. Death and disease in the family had taken a toll on my personal life. Though I was a newlywed, life was anything but bliss. That month I was the resident in the cardiac intensive care unit (CICU); a challenging rotation, where sleep was a luxury and the long nights on call added to the strain on my relationship with my wife. It was on one of those nights that I met Mr. and Mrs. Dubinski.

Mr. Dubinski was a pleasant man who looked younger than his 75 years. He had been brought to the hospital because his implantable cardioverter defibrillator (ICD) had fired twice that night. He was in good spirits and chatting amiably with his son. I asked him how he was doing. His pleasant expression changed to a worried one. I have been rather upset for the last few days, worried about my wife, he said.

It turned out that over the last few days Mrs. Dubinski had not been feeling well. This had troubled Mr. Dubinski, and he was often preoccupied with concerns about her. The couple had been married 55 years and had never spent a day apart. They had waited to seek medical advice. Her pain was intermittent, and they thought it would pass; they had some appointments coming up, and they thought they could wait it out. That night, Mrs. Dubinski had a particularly severe episode of pain that bothered her greatly and worried Mr. Dubinski even more. He said that he felt as though he was beginning to pass out, and as he began to faint, he felt a funny feeling in his chest. He had never had a shock from the ICD before, and he didn't know what happened. He sat down to compose himself and felt the same funny feeling in his chest again and also felt lightheaded. He described it, saying, I felt like I was going to explode from the inside. Concerned about his unusual symptoms and her worsening pain, Mr. and Mrs. Dubinski decided to come to the hospital.

Mr. Dubinski's electrocardiogram revealed many premature ventricular complexes (PVCs), and I suspected that one of these had triggered a malignant arrhythmia, which resulted in the device firing. He would need monitoring, and his ICD would be interrogated in the morning to ensure that it was functioning properly. I reassured Mr. Dubinski that the device seemed to have done what it was meant to do. It had almost certainly saved his life. He was relieved to hear this but wanted me to reassure his wife that even though he was going to the CICU, he was all right and it was nothing serious.

As I was wheeling Mr. Dubinski up, I walked past the nurse taking care of his wife. She pulled me aside for a moment and said, Looks like you'll be taking her, too; her troponin just came back at 5.96.

Mrs. Dubinski was a thin, older woman who looked uncomfortable. For about a week, she had been experiencing intermittent pain in her chest and abdomen and just felt that something was not right. Tonight her chest pain did not get better spontaneously, and she had a particularly long episode of pain that radiated to her left arm. She said she felt like she was going to explode from the inside. It was uncanny how she used the same words and expressions that her husband did. I suppose after 55 years of marriage, it should not have been surprising to me, but it was. When they had gotten to the emergency room Mrs. Dubinski had told the doctor about her own complaints. He ordered an electrocardiogram, which showed subtle changes consistent with myocardial ischemia. Her lab data confirmed that she was having a heart attack.

Mrs. Dubinski asked me what was going on. I gently explained to her that she was having a small heart attack. The stuttering episodes of chest pain in the past week probably meant that it had been coming on for a few days now. We could see some evidence of heart damage in her blood tests and the subtle changes in her electrocardiogram. I expected her to ask me more questions about the heart attack or what we were going to next. Instead, she said, Please don't tell my husband. It will only worry him more. I reassured her that I understood her concerns and told her that she was also going to be admitted to the CICU. She was fine with this, more worried about her husband than herself. Once in the CICU I kept my word to Mrs. Dubinski and told Mr. Dubinski a partial truththat his wife was being admitted for observation because we were worried about her.

I was genuinely touched by the deep bond between Mr. and Mrs. Dubinski. It amazed me to see that a man's heart could be stimulated by his wife's suffering in such a way that would have taken his life if not for his ICD. One could say that Mr. Dubinski was anxious about his wife's health, which led to an increased sympathetic drive and higher catecholamine levels. But as a young man at the beginning of a relationship with my wife, I thought there was much more here. Tonight, perhaps, because he cared so deeply, a PVC occurred right during the vulnerable period of the cardiac cycle in a person with a vulnerable heart, and a potentially lethal ventricular arrhythmia had ensued. And tonight my heart was also vulnerable, and I was moved. I thought of all the storms they must have weathered in their 55 years together and the love they had forged. It gave me hope for my own fledgling marriage and made me hope that one day my wife and I would be able to look back on many years of life together like Mr. and Mrs. Dubinski could, with 2 hearts beating as 1.

I had the privilege to know this couple for only 1 call night. By the time I was back on the CICU, Mrs. Dubinski had been transferred to another facility for angioplasty, and Mr. Dubinski had been discharged. Yet that was enough time for me to take part in the care of 2 amazing people and to witness the majesty of their love.

Note: Dubinski is a fictitious name.

Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
160-161
Sections
Article PDF
Article PDF

It had been a turbulent year. Death and disease in the family had taken a toll on my personal life. Though I was a newlywed, life was anything but bliss. That month I was the resident in the cardiac intensive care unit (CICU); a challenging rotation, where sleep was a luxury and the long nights on call added to the strain on my relationship with my wife. It was on one of those nights that I met Mr. and Mrs. Dubinski.

Mr. Dubinski was a pleasant man who looked younger than his 75 years. He had been brought to the hospital because his implantable cardioverter defibrillator (ICD) had fired twice that night. He was in good spirits and chatting amiably with his son. I asked him how he was doing. His pleasant expression changed to a worried one. I have been rather upset for the last few days, worried about my wife, he said.

It turned out that over the last few days Mrs. Dubinski had not been feeling well. This had troubled Mr. Dubinski, and he was often preoccupied with concerns about her. The couple had been married 55 years and had never spent a day apart. They had waited to seek medical advice. Her pain was intermittent, and they thought it would pass; they had some appointments coming up, and they thought they could wait it out. That night, Mrs. Dubinski had a particularly severe episode of pain that bothered her greatly and worried Mr. Dubinski even more. He said that he felt as though he was beginning to pass out, and as he began to faint, he felt a funny feeling in his chest. He had never had a shock from the ICD before, and he didn't know what happened. He sat down to compose himself and felt the same funny feeling in his chest again and also felt lightheaded. He described it, saying, I felt like I was going to explode from the inside. Concerned about his unusual symptoms and her worsening pain, Mr. and Mrs. Dubinski decided to come to the hospital.

Mr. Dubinski's electrocardiogram revealed many premature ventricular complexes (PVCs), and I suspected that one of these had triggered a malignant arrhythmia, which resulted in the device firing. He would need monitoring, and his ICD would be interrogated in the morning to ensure that it was functioning properly. I reassured Mr. Dubinski that the device seemed to have done what it was meant to do. It had almost certainly saved his life. He was relieved to hear this but wanted me to reassure his wife that even though he was going to the CICU, he was all right and it was nothing serious.

As I was wheeling Mr. Dubinski up, I walked past the nurse taking care of his wife. She pulled me aside for a moment and said, Looks like you'll be taking her, too; her troponin just came back at 5.96.

Mrs. Dubinski was a thin, older woman who looked uncomfortable. For about a week, she had been experiencing intermittent pain in her chest and abdomen and just felt that something was not right. Tonight her chest pain did not get better spontaneously, and she had a particularly long episode of pain that radiated to her left arm. She said she felt like she was going to explode from the inside. It was uncanny how she used the same words and expressions that her husband did. I suppose after 55 years of marriage, it should not have been surprising to me, but it was. When they had gotten to the emergency room Mrs. Dubinski had told the doctor about her own complaints. He ordered an electrocardiogram, which showed subtle changes consistent with myocardial ischemia. Her lab data confirmed that she was having a heart attack.

Mrs. Dubinski asked me what was going on. I gently explained to her that she was having a small heart attack. The stuttering episodes of chest pain in the past week probably meant that it had been coming on for a few days now. We could see some evidence of heart damage in her blood tests and the subtle changes in her electrocardiogram. I expected her to ask me more questions about the heart attack or what we were going to next. Instead, she said, Please don't tell my husband. It will only worry him more. I reassured her that I understood her concerns and told her that she was also going to be admitted to the CICU. She was fine with this, more worried about her husband than herself. Once in the CICU I kept my word to Mrs. Dubinski and told Mr. Dubinski a partial truththat his wife was being admitted for observation because we were worried about her.

I was genuinely touched by the deep bond between Mr. and Mrs. Dubinski. It amazed me to see that a man's heart could be stimulated by his wife's suffering in such a way that would have taken his life if not for his ICD. One could say that Mr. Dubinski was anxious about his wife's health, which led to an increased sympathetic drive and higher catecholamine levels. But as a young man at the beginning of a relationship with my wife, I thought there was much more here. Tonight, perhaps, because he cared so deeply, a PVC occurred right during the vulnerable period of the cardiac cycle in a person with a vulnerable heart, and a potentially lethal ventricular arrhythmia had ensued. And tonight my heart was also vulnerable, and I was moved. I thought of all the storms they must have weathered in their 55 years together and the love they had forged. It gave me hope for my own fledgling marriage and made me hope that one day my wife and I would be able to look back on many years of life together like Mr. and Mrs. Dubinski could, with 2 hearts beating as 1.

I had the privilege to know this couple for only 1 call night. By the time I was back on the CICU, Mrs. Dubinski had been transferred to another facility for angioplasty, and Mr. Dubinski had been discharged. Yet that was enough time for me to take part in the care of 2 amazing people and to witness the majesty of their love.

Note: Dubinski is a fictitious name.

It had been a turbulent year. Death and disease in the family had taken a toll on my personal life. Though I was a newlywed, life was anything but bliss. That month I was the resident in the cardiac intensive care unit (CICU); a challenging rotation, where sleep was a luxury and the long nights on call added to the strain on my relationship with my wife. It was on one of those nights that I met Mr. and Mrs. Dubinski.

Mr. Dubinski was a pleasant man who looked younger than his 75 years. He had been brought to the hospital because his implantable cardioverter defibrillator (ICD) had fired twice that night. He was in good spirits and chatting amiably with his son. I asked him how he was doing. His pleasant expression changed to a worried one. I have been rather upset for the last few days, worried about my wife, he said.

It turned out that over the last few days Mrs. Dubinski had not been feeling well. This had troubled Mr. Dubinski, and he was often preoccupied with concerns about her. The couple had been married 55 years and had never spent a day apart. They had waited to seek medical advice. Her pain was intermittent, and they thought it would pass; they had some appointments coming up, and they thought they could wait it out. That night, Mrs. Dubinski had a particularly severe episode of pain that bothered her greatly and worried Mr. Dubinski even more. He said that he felt as though he was beginning to pass out, and as he began to faint, he felt a funny feeling in his chest. He had never had a shock from the ICD before, and he didn't know what happened. He sat down to compose himself and felt the same funny feeling in his chest again and also felt lightheaded. He described it, saying, I felt like I was going to explode from the inside. Concerned about his unusual symptoms and her worsening pain, Mr. and Mrs. Dubinski decided to come to the hospital.

Mr. Dubinski's electrocardiogram revealed many premature ventricular complexes (PVCs), and I suspected that one of these had triggered a malignant arrhythmia, which resulted in the device firing. He would need monitoring, and his ICD would be interrogated in the morning to ensure that it was functioning properly. I reassured Mr. Dubinski that the device seemed to have done what it was meant to do. It had almost certainly saved his life. He was relieved to hear this but wanted me to reassure his wife that even though he was going to the CICU, he was all right and it was nothing serious.

As I was wheeling Mr. Dubinski up, I walked past the nurse taking care of his wife. She pulled me aside for a moment and said, Looks like you'll be taking her, too; her troponin just came back at 5.96.

Mrs. Dubinski was a thin, older woman who looked uncomfortable. For about a week, she had been experiencing intermittent pain in her chest and abdomen and just felt that something was not right. Tonight her chest pain did not get better spontaneously, and she had a particularly long episode of pain that radiated to her left arm. She said she felt like she was going to explode from the inside. It was uncanny how she used the same words and expressions that her husband did. I suppose after 55 years of marriage, it should not have been surprising to me, but it was. When they had gotten to the emergency room Mrs. Dubinski had told the doctor about her own complaints. He ordered an electrocardiogram, which showed subtle changes consistent with myocardial ischemia. Her lab data confirmed that she was having a heart attack.

Mrs. Dubinski asked me what was going on. I gently explained to her that she was having a small heart attack. The stuttering episodes of chest pain in the past week probably meant that it had been coming on for a few days now. We could see some evidence of heart damage in her blood tests and the subtle changes in her electrocardiogram. I expected her to ask me more questions about the heart attack or what we were going to next. Instead, she said, Please don't tell my husband. It will only worry him more. I reassured her that I understood her concerns and told her that she was also going to be admitted to the CICU. She was fine with this, more worried about her husband than herself. Once in the CICU I kept my word to Mrs. Dubinski and told Mr. Dubinski a partial truththat his wife was being admitted for observation because we were worried about her.

I was genuinely touched by the deep bond between Mr. and Mrs. Dubinski. It amazed me to see that a man's heart could be stimulated by his wife's suffering in such a way that would have taken his life if not for his ICD. One could say that Mr. Dubinski was anxious about his wife's health, which led to an increased sympathetic drive and higher catecholamine levels. But as a young man at the beginning of a relationship with my wife, I thought there was much more here. Tonight, perhaps, because he cared so deeply, a PVC occurred right during the vulnerable period of the cardiac cycle in a person with a vulnerable heart, and a potentially lethal ventricular arrhythmia had ensued. And tonight my heart was also vulnerable, and I was moved. I thought of all the storms they must have weathered in their 55 years together and the love they had forged. It gave me hope for my own fledgling marriage and made me hope that one day my wife and I would be able to look back on many years of life together like Mr. and Mrs. Dubinski could, with 2 hearts beating as 1.

I had the privilege to know this couple for only 1 call night. By the time I was back on the CICU, Mrs. Dubinski had been transferred to another facility for angioplasty, and Mr. Dubinski had been discharged. Yet that was enough time for me to take part in the care of 2 amazing people and to witness the majesty of their love.

Note: Dubinski is a fictitious name.

Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
160-161
Page Number
160-161
Article Type
Display Headline
Two hearts beating as one
Display Headline
Two hearts beating as one
Sections
Article Source
Copyright © 2008 Society of Hospital Medicine
Disallow All Ads
Correspondence Location
Department of Medicine, John Hopkins University School of Medicine, Baltimore, Maryland
Content Gating
Gated (full article locked unless allowed per User)
Gating Strategy
First Peek Free
Article PDF Media

Dexmedetomidine for Sedation in Children

Article Type
Changed
Sun, 05/28/2017 - 22:20
Display Headline
Use of dexmedetomidine for sedation of children hospitalized in the intensive care unit

Sedation is commonly administered to hospitalized children.16 An appropriate sedation level is needed to reduce agitation, to facilitate tolerance of invasive therapies, and to prevent invasive devices from being dislodged.16 Age and developmental level can significantly affect the effectiveness of sedation.13 Commonly used medications, such as benzodiazepines and opioids, can adequately sedate children but are difficult to titrate to reach an adequate or consistent level of sedation.13 Sedation of spontaneously breathing children is an even greater challenge because sedation can cause significant and variable respiratory depression and the need for mechanical ventilation.13

Dexmedetomidine (Precedex; Hospira Inc., Lake Forest, IL) is a centrally acting 2‐adrenergic receptor agonist that provides a titratable level of sedation with little respiratory depression when delivered by continuous infusion.69 Dexmedetomidine is approved by the U.S. Food and Drug Administration for the short‐term (<24‐hour) sedation of critically ill adults in the ICU setting.47 Despite the potential utility of dexmedetomidine in pediatric critical care, only a few published case series have described its use in children,5, 1020 and no published reviews have examined its use in children for longer than 24 hours. Although the elimination half‐life of a single dose of dexmedetomidine is 3 hours, the duration of action following discontinuation of a continuous infusion in children is also unknown.21 Reported side effects in adults of the use of dexmedetomidine include hypotension and bradycardia, but the safety of prolonged infusions in children has not been reported.

In this study, we describe our experience with the use of dexmedetomidine for sedation of children hospitalized in the pediatric ICU. Dexmedetomidine was administered off‐label for a variety of indications and for durations allowed to exceed 24 hours. Our objective was to retrospectively evaluate the efficacy and complication profile of dexmedetomidine in this population.

MATERIALS AND METHODS

This study was approved by the Institutional Review Board at Connecticut Children's Medical Center, and the criteria for informed consent were waived because of its retrospective nature.

Dexmedetomidine was added to the formulary by the Pharmacy and Therapeutics Committee of the study institution in December 2003. Prescribing was restricted to the pediatric intensive care unit (ICU). We retrospectively examined the medical records of all children who received dexmedetomidine for sedation between December 2003 and October 2005. Patients were identified from pharmacy records maintained for quality improvement purposes. The chart abstraction was performed by 2 of the investigators (C.L.C. and D.K.). Audits for uniformity were performed twice during the data abstraction by the principal investigator (C.C.). Dexmedetomidine was administered in all cases without a loading dose. Data were collected regarding hospital course, medications received, amount and duration of dexmedetomidine received, and complications associated with use of dexmedetomidine. During the review period, hemodynamic variables (heart rate, systolic blood pressure, and diastolic blood pressure) were recorded at least hourly for patients receiving dexmedetomidine. Adverse events were defined as occurring during infusion of dexmedetomidine. These events were determined after examination of previous publications describing associated adverse events7, 9, 14 and included abnormalities in hemodynamic parameters (hypotension, hypertension, tachycardia and bradycardia) and respiratory parameters (bradypnea and tachypnea). Values below or above the 5% or 95% normal range for age were considered abnormal. The Pediatric Risk of Mortality (PRISM) III score was used to quantify illness severity on admission to the ICU.22 The effective dose of dexmedetomidine was defined as the dose the patient received for the longest period.

Sedation Regimen at Study Institution

At the study institution, the typical initial therapy for sedation of spontaneously breathing or mechanically ventilated children is a combination of medium‐duration opioids and benzodiazepines, such as morphine and lorazepam. Although sedation scores were not routinely assessed during the study period, the level of sedation was targeted by the nursing staff and the attending physician to maintain comfort, reduce agitation, and allow for tolerance of treatment received. At the study institution these medications are initially administered on an as‐needed basis. If the patient requires additional sedation, they are scheduled every 2 to 4 hours plus given on an as‐needed basis for breakthrough agitation. If additional sedation is still required, the opioid is changed to a continuous infusion of fentanyl, along with scheduled lorazepam, titrated to achieve the desired level of sedation. In patients who require deeper sedation, additional medications such as a barbiturate, ketamine, or chloral hydrate are added.

Statistical Analysis

Clinical characteristics and differences in outcomes were compared using the Student t test for comparison of normally distributed continuous variables, the Mann‐Whitney U test for comparison of continuous variable not normally distributed, the Kruskal‐Wallis test for comparison of continuous variables among more than 2 groups using t tests, and the chi‐square test for comparison of categorical variables. Data was analyzed by case, not by patient, because only a small number of children received dexmedetomidine more than once during the same ICU admission. Most children who received dexmedetomidine more than once received the medication again on subsequent admissions to the ICU. A P value less than 0.05 was considered statistically significant. Data were analyzed using JMP statistical software (version 6.0.2; Cary, NC).

RESULTS

Dexmedetomidine was administered 74 times to 60 children (median age 1.5 years, range 0.117.2 years) during the study period. Most of the patients were male (57%); 53% were white, 23% were Hispanic, 16% were African American, and 8% were designated other. The median PRISM III score was 10 (017). The chronic illness profile and indications for admission are given in Table 1.

Medical History of All Children Receiving Dexmedetomidine
Chronic illness
  • Patients could be included in more than one category. Data expressed as frequency (%).

Congenital heart disease30%
Chronic respiratory disease (other than asthma)24%
None21%
Chronic neurological/developmental delay20%
Asthma11%
Other14%
Indications for ICU admission 
Respiratory distress/failure43%
After corrective cardiac surgery19%
After other surgery18%
Asthma exacerbation9%
Other11%

We found that dexmedetomidine was administered for 3 major indications: (1) as an additive supplementing ongoing sedation judged to be inadequate by the treating physician, (2) in anticipation of extubation to facilitate weaning of other sedation medications, and (3) in spontaneously breathing, nonintubated children to provide a titratable level of sedation without respiratory depression. Children could have more than 1 indication for using dexmedetomidine.

In 36 cases (49%), dexmedetomidine was administered for more than 24 hours. In all children the median effective dose for maintenance of adequate sedation was 0.7 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 23 hours (range 3451 hours; Figs. 1 and 2). Children who received dexmedetomidine for at most 24 hours had a significantly lower effective dose (median 0.5 g/kg per hour, range 0.22.5 g/kg per hour) than did those who received dexmedetomidine for more than 24 hours (median 1 g/kg per hour, range 0.32 g/kg per hour; P = .006). Comparisons of demographics and outcomes based on duration of infusion are given in Table 2.

Figure 1
Distribution of duration of infusion.
Figure 2
Effective doses for intubated and nonintubated children.
Comparing Duration of Dexmedetomidine
 Dexmedetomidine received for 24 hours (n = 38)Dexmedetomidine received for >24 hours (n = 36)
  • P < .05.

  • Data expressed as frequency (%) or median and range.

Age (years)0.9 (0.117.2)2.7 (0.415.5)
Male sex55%58%
Race/ethnicity  
African American16%17%
White53%53%
Hispanic21%25%
PRISM III score10 (017)10 (017)
Duration of infusion (hours)12 (324)*73 (27451)*
Effective dose (g/kg per hour)0.5 (0.22.5)*1 (0.32)*
ICU length of stay (hours)95 (16876)*360 (451634)*
Incidence of complications21%19%

In 53% of cases (n = 39), the dexmedetomidine was used to supplement ongoing sedation that was judged inadequate. In these patients the median effective dose was 0.9 g/kg per hour (range 0.252 g/kg per hour), with a median duration of therapy of 66 hours (range 6451 hours). In this group of patients for whom dexmedetomidine was used to supplement ongoing sedation were 4 patients whose dexmedetomidine was stopped because it was perceived as ineffective by the treating physician. In this subset of patients (n = 4), the median maximal dose was 1.5 g/kg per hour (range 0.81.5 g/kg per hour), and the median duration of infusion was 62 hours (range 1098 hours).

In 41% of cases (n = 30), the dexmedetomidine was used in anticipation of extubation in order to facilitate the weaning off other sedative medications. In these patients, the median effective dose was 0.5 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 14 hours (range 353 hours). A comparison of sedative use before and after dexmedetomidine showed a significant reduction in the use of fentanyl infusions (43% vs. 17%; P = .009) and scheduled lorazepam (30% vs. 10%; P = .02). The median time to extubation after stopping the infusion was 0.6 hours. In 7 children, dexmedetomidine was continued following extubation for a median of 19 hours (range 0.8243.5 hours).

In 26% of cases (n = 19), children were extubated and spontaneously breathing when the dexmedetomidine was initiated. Compared with intubated children, the children who were extubated and spontaneously breathing were significantly older (P = .02) and had a higher level of acute illness at admission, as quantified by the PRISM III score (P = .049). There were no significant differences in sex or race (Table 3). The median effective dose, maximum dose, and duration of dexmedetomidine use did not differ between intubated and nonintubated children (Table 3 and Fig. 2).

Comparing Intubated and Unintubated Children
 Intubated (n = 55)Not intubated (n = 19)
  • P < .05.

  • Data expressed as frequency (%) or as median and range.

Age (years)0.9 (0.117.2)*4.2 (0.315.5)*
Male sex58%53%
Race/ethnicity  
African American16%16%
White49%63%
Hispanic24%21%
PRISM III score8 (017)*11 (017)*
Duration of infusion (hours)22 (3451)30 (6302)
Effective dose (g/kg per hour)0.7 (0.22.5)0.7 (0.31.2)
Maximum dose0.7 (0.22.5)0.7 (0.31.2)

In most cases (74%), the dexmedetomidine was stopped because the child no longer required sedation. Other indications for stopping the dexmedetomidine were inadequate level of sedation (7%), need for a longer duration of sedation (16%), and response to an adverse effect (3%).

Most children (80%) experienced no adverse effects during the dexmedetomidine infusion. The most common adverse effects identified were hypotension (9% of all cases), hypertension (8% of all cases), and bradycardia (3% of all cases). Only 1 child developed more than 1 complication (bradycardia and hypertension). In 93% of children who experienced one of these adverse effects (n = 14 of 15), it either resolved without treatment (n = 9) or after withholding or decreasing the dose of dexmedetomidine (n = 5). One child received a fluid bolus for hypotension. The incidence of adverse effects did not differ based on indication for therapy, indication for ICU admission, or chronic disease. Children with cardiac disease or undergoing corrective cardiac surgery also did not have an increased incidence of adverse effects (26% vs. 18%; P = .51). The incidence of adverse effects did not increase with increased duration of therapy (Table 2). A comparison of those who experienced a complication and those who did not showed no differences in the maximal dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) or the effective dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) of dexmedetomidine. In those who experienced a complication, the mean dose of dexmedetomidine administered at the time of the complication was 0.7 0.3 g/kg per minute. When comparing the doses of dexmedetomidine administered at the time of complications, there were no difference in dose based on type of complication. However, patients with bradycardia had a somewhat higher dose (0.9 0.4 vs. 0.6 0.3 g/kg per minute; P = .89) than did patients who experienced other complications, although this was not statistically significant.

DISCUSSION

Dexmedetomidine may have a potentially useful role as a titratable, short‐acting sedative in hospitalized children. However, there are little data regarding pediatric dosage, efficacy, or safety. Off‐label usage of medications is common in pediatrics because of the relatively small number of children admitted to the hospital and the difficulties in performing large clinical trials of children. Clinicians in practice rely on small case series, such as this review, to provide useful information about safety, dosage, and potential duration of therapies. This study was performed in an ICU setting. However, the data can potentially be extrapolated to other hospitalized children.

Several authors have described the effectiveness of dexmedetomidine in children for short‐term or procedural sedation.5, 1016 In a prospective study by Berkenbosch et al.,12 48 children received a dexmedetomidine infusion of 0.51 g/kg per hour for noninvasive procedural sedation. In a retrospective review by Chrysostomou et al.,14 38 children received dexmedetomidine infusions of 0.10.75 g/kg per hour following cardiac or thoracic surgery. In a prospective study by Tobias et al.,5 mechanically ventilated children received a dose of 0.250.5 g/kg per hour for up to 24 hours. Dexmedetomidine was an effective sedative in all these pediatric case series.

In our cohort of children, dexmedetomidine appeared to be effective and to have few adverse effects when administered for durations allowed to exceed 24 hours. The drug's properties make it particularly promising for the maintenance of adequate sedation while weaning patients from mechanical ventilation. Unlike benzodiazepines and opioids, dexmedetomidine causes little respiratory depression and so allows for weaning from mechanical ventilation while simultaneously decreasing the dosage of longer‐acting sedative agents. Dexmedetomidine may also be useful as an additive to supplement ongoing sedation in spontaneously breathing children. This pharmacologic profile makes it an attractive sedative agent in the pediatric ICU setting. In this cohort, only a small number of children experienced adverse effects, none of which were associated with increased duration of therapy. Almost all these adverse effects resolved either spontaneously or by holding/lowering the dose of the infusion.

Previous case series in adults and previous case reports in children have suggested that dexmedetomidine may be used safely for longer than 24 hours.4, 8, 9, 1718 In studies by Shehabi et al. and Dasta et al.,89 a total of 66 adults received dexmedetomidine for median durations of 72 hours (range 35168 hours) and 54 hours (range 25124 hours), respectively. In these studies the number of adverse effects did not increased based on the duration of therapy. In the pediatric population, Hammer et al. reported 4 days of sedation of a child following tracheal reconstruction,18 and Finkel et al. described the prolonged use of dexmedetomidine in 2 children to facilitate weaning from opioids following heart transplantation.17 There were no complications reported in these pediatric case reports.

This is the first case series in children to describe the use of dexmedetomidine for longer than 24 hours. In larger adult studies, hypotension and bradycardia were the most common adverse effects noted with the use of dexmedetomidine.7 In a review of 136 adults by Dasta et al., 23% developed hypotension and 4% developed bradycardia.9 Chrysostomou et al. found that 15% of 33 adults admitted to the ICU following cardiac surgery developed hypotension.14 None of these patients became bradycardic.14 This incidence is similar to that found in our review.

This retrospective review had several limitations. Unfortunately, sedation scores were not routinely used in our institution during the period studied, nor were formal guidelines in place for the titration of sedation. These measures would have allowed us to better quantify effectiveness. In addition, these retrospectively collected data may not have accurately captured the adverse effects associated with dexmedetomidine infusions. The population examined was relatively small. Although there was not an increased incidence of adverse effects in certain subgroups (ie, cardiac), there was not a sufficient number of children in this review to definitively demonstrate safety.

In this cohort of children hospitalized in the ICU, dexmedetomidine appeared to be an effective sedative and to have few adverse effects when administered for relatively long durations. This pharmacologic profile makes it a potentially attractive medication in the hospital setting. Prospective studies are needed to critically examine the use of dexmedetomidine in the pediatric population.

References
  1. Doyle L,Colletti JE.Pediatric procedural sedation and analgesia.Pediatr Clin North Am.2006;53:279292.
  2. Krauss B,Green SM.Procedural sedation and analgesia in children.Lancet2006;367:76680.
  3. de Carvalho WB,Fonseca MCM.Pediatric sedation: still a hard long way to go.Pediatr Crit Care.2006;7:186187.
  4. Serlin S.Dexmedetomidine in pediatrics: controlled studies needed.Anesth Analg.2004;98:18091818.
  5. Tobias JD,Berkenbosch JW.Sedation during mechanical ventilation in infants and children: dexmedetomidine versus midazolam.South Med J.2004;97:451455.
  6. Coursin DB,Coursin DB,Maccioli GA.Dexmedetomidine.Curr Opin Crit Care.2001;7:221226.
  7. Martin E,Ramsay G,Mantz J,Sum‐Ping STJ.The role of the α2‐adrenoceptor agonist dexmedetomidine in postsurgical sedation in the intensive care unit.J Intensive Care Med.2003;18:2941.
  8. Shehabi Y,Ruettimann U,Adamson H, et al.Dexmedetomidine infusion for more than 24 hours in critically ill patients: sedative and cardiovascular effects.Intensive Care Med.2004;30:21882196.
  9. Dasta JF,Kane‐Gill SL,Durtschi AJ.Comparing dexmedetomidine prescribing patterns and safety in the naturalistic setting versus published data.Ann Pharmacother.2004;38:11301135.
  10. Tobias JD,Berkenbosch JW.Initial experience with dexmedetomidine in paediatric‐aged patients.Paediatr Anaesth.2002;12:171175.
  11. Ibacache ME,Munoz HR,Brandes V, et al.Single‐dose dexmedetomidine reduces agitation after sevoflurane anesthesia in children.Anesth Analg.2004;98:6063.
  12. Berkenbosch JW,Wankum PC,Tobias JD.Prospective evaluation of dexmedetomidine for noninvasive procedural sedation in children.Pediatr Crit Care.2005;6:435439.
  13. Mason KP,Zgleszewski SE,Dearden JL, et al.Dexmedetomidine for pediatric sedation for computed tomography imaging studies.Anesth Analg.2006;103:5762.
  14. Chrysostomou C,Di Filippo S,Manrique AM, et al.Use of dexmedetomidine in children after cardiac and thoracic surgery.Pediatr Crit Care.2006;7:126131.
  15. Mukhtar AM,Obayah EM,Hassona AM.The use of dexmedetomidine in pediatric cardiac surgery.Anesth Analg.2006;103:5256.
  16. Rosen DA,Daume JT.Short duration large dose dexmedetomidine in a pediatric patient during procedural sedation.Anesth Analg.2006;103:6869.
  17. Finkel JC,Elrefai A.The use of dexmedetomidine to facilitate opioid and benzodiazepine detoxification in an infant.Anesth Analg.2004;98:16581659.
  18. Hammer GB,Philip BM,Schroeder AR, et al.Prolonged infusion of dexmedetomidine for sedation following tracheal resection.Paediatr Anaesth.2005;15:616620.
  19. Berkenbosch JW,Tobias JD.Development of bradycardia during sedation with dexmedetomidine in an infant concurrently receiving digoxin.Pediatr Crit Care.2003;4:203205.
  20. Tobias JD,Berkenbosch JW,Russo P.Additional experience with dexmedetomidine in pediatric patients.South Med J.2003;96:871875.
  21. Kivisto KT,Kallio A,Neuvonen PJ.Pharmacokinetics and pharmacodynamics of transdermal dexmedetomidine.Eur J Clin Pharmacol.1994;46:345349.
  22. Pollack MM,Patel KM,Ruttimann UE.PRISM III: an updated Pediatric Risk of Mortality score.Crit Care Med.1996;24:743752.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
142-147
Legacy Keywords
pediatric, sedation, dexmedetomidine
Sections
Article PDF
Article PDF

Sedation is commonly administered to hospitalized children.16 An appropriate sedation level is needed to reduce agitation, to facilitate tolerance of invasive therapies, and to prevent invasive devices from being dislodged.16 Age and developmental level can significantly affect the effectiveness of sedation.13 Commonly used medications, such as benzodiazepines and opioids, can adequately sedate children but are difficult to titrate to reach an adequate or consistent level of sedation.13 Sedation of spontaneously breathing children is an even greater challenge because sedation can cause significant and variable respiratory depression and the need for mechanical ventilation.13

Dexmedetomidine (Precedex; Hospira Inc., Lake Forest, IL) is a centrally acting 2‐adrenergic receptor agonist that provides a titratable level of sedation with little respiratory depression when delivered by continuous infusion.69 Dexmedetomidine is approved by the U.S. Food and Drug Administration for the short‐term (<24‐hour) sedation of critically ill adults in the ICU setting.47 Despite the potential utility of dexmedetomidine in pediatric critical care, only a few published case series have described its use in children,5, 1020 and no published reviews have examined its use in children for longer than 24 hours. Although the elimination half‐life of a single dose of dexmedetomidine is 3 hours, the duration of action following discontinuation of a continuous infusion in children is also unknown.21 Reported side effects in adults of the use of dexmedetomidine include hypotension and bradycardia, but the safety of prolonged infusions in children has not been reported.

In this study, we describe our experience with the use of dexmedetomidine for sedation of children hospitalized in the pediatric ICU. Dexmedetomidine was administered off‐label for a variety of indications and for durations allowed to exceed 24 hours. Our objective was to retrospectively evaluate the efficacy and complication profile of dexmedetomidine in this population.

MATERIALS AND METHODS

This study was approved by the Institutional Review Board at Connecticut Children's Medical Center, and the criteria for informed consent were waived because of its retrospective nature.

Dexmedetomidine was added to the formulary by the Pharmacy and Therapeutics Committee of the study institution in December 2003. Prescribing was restricted to the pediatric intensive care unit (ICU). We retrospectively examined the medical records of all children who received dexmedetomidine for sedation between December 2003 and October 2005. Patients were identified from pharmacy records maintained for quality improvement purposes. The chart abstraction was performed by 2 of the investigators (C.L.C. and D.K.). Audits for uniformity were performed twice during the data abstraction by the principal investigator (C.C.). Dexmedetomidine was administered in all cases without a loading dose. Data were collected regarding hospital course, medications received, amount and duration of dexmedetomidine received, and complications associated with use of dexmedetomidine. During the review period, hemodynamic variables (heart rate, systolic blood pressure, and diastolic blood pressure) were recorded at least hourly for patients receiving dexmedetomidine. Adverse events were defined as occurring during infusion of dexmedetomidine. These events were determined after examination of previous publications describing associated adverse events7, 9, 14 and included abnormalities in hemodynamic parameters (hypotension, hypertension, tachycardia and bradycardia) and respiratory parameters (bradypnea and tachypnea). Values below or above the 5% or 95% normal range for age were considered abnormal. The Pediatric Risk of Mortality (PRISM) III score was used to quantify illness severity on admission to the ICU.22 The effective dose of dexmedetomidine was defined as the dose the patient received for the longest period.

Sedation Regimen at Study Institution

At the study institution, the typical initial therapy for sedation of spontaneously breathing or mechanically ventilated children is a combination of medium‐duration opioids and benzodiazepines, such as morphine and lorazepam. Although sedation scores were not routinely assessed during the study period, the level of sedation was targeted by the nursing staff and the attending physician to maintain comfort, reduce agitation, and allow for tolerance of treatment received. At the study institution these medications are initially administered on an as‐needed basis. If the patient requires additional sedation, they are scheduled every 2 to 4 hours plus given on an as‐needed basis for breakthrough agitation. If additional sedation is still required, the opioid is changed to a continuous infusion of fentanyl, along with scheduled lorazepam, titrated to achieve the desired level of sedation. In patients who require deeper sedation, additional medications such as a barbiturate, ketamine, or chloral hydrate are added.

Statistical Analysis

Clinical characteristics and differences in outcomes were compared using the Student t test for comparison of normally distributed continuous variables, the Mann‐Whitney U test for comparison of continuous variable not normally distributed, the Kruskal‐Wallis test for comparison of continuous variables among more than 2 groups using t tests, and the chi‐square test for comparison of categorical variables. Data was analyzed by case, not by patient, because only a small number of children received dexmedetomidine more than once during the same ICU admission. Most children who received dexmedetomidine more than once received the medication again on subsequent admissions to the ICU. A P value less than 0.05 was considered statistically significant. Data were analyzed using JMP statistical software (version 6.0.2; Cary, NC).

RESULTS

Dexmedetomidine was administered 74 times to 60 children (median age 1.5 years, range 0.117.2 years) during the study period. Most of the patients were male (57%); 53% were white, 23% were Hispanic, 16% were African American, and 8% were designated other. The median PRISM III score was 10 (017). The chronic illness profile and indications for admission are given in Table 1.

Medical History of All Children Receiving Dexmedetomidine
Chronic illness
  • Patients could be included in more than one category. Data expressed as frequency (%).

Congenital heart disease30%
Chronic respiratory disease (other than asthma)24%
None21%
Chronic neurological/developmental delay20%
Asthma11%
Other14%
Indications for ICU admission 
Respiratory distress/failure43%
After corrective cardiac surgery19%
After other surgery18%
Asthma exacerbation9%
Other11%

We found that dexmedetomidine was administered for 3 major indications: (1) as an additive supplementing ongoing sedation judged to be inadequate by the treating physician, (2) in anticipation of extubation to facilitate weaning of other sedation medications, and (3) in spontaneously breathing, nonintubated children to provide a titratable level of sedation without respiratory depression. Children could have more than 1 indication for using dexmedetomidine.

In 36 cases (49%), dexmedetomidine was administered for more than 24 hours. In all children the median effective dose for maintenance of adequate sedation was 0.7 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 23 hours (range 3451 hours; Figs. 1 and 2). Children who received dexmedetomidine for at most 24 hours had a significantly lower effective dose (median 0.5 g/kg per hour, range 0.22.5 g/kg per hour) than did those who received dexmedetomidine for more than 24 hours (median 1 g/kg per hour, range 0.32 g/kg per hour; P = .006). Comparisons of demographics and outcomes based on duration of infusion are given in Table 2.

Figure 1
Distribution of duration of infusion.
Figure 2
Effective doses for intubated and nonintubated children.
Comparing Duration of Dexmedetomidine
 Dexmedetomidine received for 24 hours (n = 38)Dexmedetomidine received for >24 hours (n = 36)
  • P < .05.

  • Data expressed as frequency (%) or median and range.

Age (years)0.9 (0.117.2)2.7 (0.415.5)
Male sex55%58%
Race/ethnicity  
African American16%17%
White53%53%
Hispanic21%25%
PRISM III score10 (017)10 (017)
Duration of infusion (hours)12 (324)*73 (27451)*
Effective dose (g/kg per hour)0.5 (0.22.5)*1 (0.32)*
ICU length of stay (hours)95 (16876)*360 (451634)*
Incidence of complications21%19%

In 53% of cases (n = 39), the dexmedetomidine was used to supplement ongoing sedation that was judged inadequate. In these patients the median effective dose was 0.9 g/kg per hour (range 0.252 g/kg per hour), with a median duration of therapy of 66 hours (range 6451 hours). In this group of patients for whom dexmedetomidine was used to supplement ongoing sedation were 4 patients whose dexmedetomidine was stopped because it was perceived as ineffective by the treating physician. In this subset of patients (n = 4), the median maximal dose was 1.5 g/kg per hour (range 0.81.5 g/kg per hour), and the median duration of infusion was 62 hours (range 1098 hours).

In 41% of cases (n = 30), the dexmedetomidine was used in anticipation of extubation in order to facilitate the weaning off other sedative medications. In these patients, the median effective dose was 0.5 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 14 hours (range 353 hours). A comparison of sedative use before and after dexmedetomidine showed a significant reduction in the use of fentanyl infusions (43% vs. 17%; P = .009) and scheduled lorazepam (30% vs. 10%; P = .02). The median time to extubation after stopping the infusion was 0.6 hours. In 7 children, dexmedetomidine was continued following extubation for a median of 19 hours (range 0.8243.5 hours).

In 26% of cases (n = 19), children were extubated and spontaneously breathing when the dexmedetomidine was initiated. Compared with intubated children, the children who were extubated and spontaneously breathing were significantly older (P = .02) and had a higher level of acute illness at admission, as quantified by the PRISM III score (P = .049). There were no significant differences in sex or race (Table 3). The median effective dose, maximum dose, and duration of dexmedetomidine use did not differ between intubated and nonintubated children (Table 3 and Fig. 2).

Comparing Intubated and Unintubated Children
 Intubated (n = 55)Not intubated (n = 19)
  • P < .05.

  • Data expressed as frequency (%) or as median and range.

Age (years)0.9 (0.117.2)*4.2 (0.315.5)*
Male sex58%53%
Race/ethnicity  
African American16%16%
White49%63%
Hispanic24%21%
PRISM III score8 (017)*11 (017)*
Duration of infusion (hours)22 (3451)30 (6302)
Effective dose (g/kg per hour)0.7 (0.22.5)0.7 (0.31.2)
Maximum dose0.7 (0.22.5)0.7 (0.31.2)

In most cases (74%), the dexmedetomidine was stopped because the child no longer required sedation. Other indications for stopping the dexmedetomidine were inadequate level of sedation (7%), need for a longer duration of sedation (16%), and response to an adverse effect (3%).

Most children (80%) experienced no adverse effects during the dexmedetomidine infusion. The most common adverse effects identified were hypotension (9% of all cases), hypertension (8% of all cases), and bradycardia (3% of all cases). Only 1 child developed more than 1 complication (bradycardia and hypertension). In 93% of children who experienced one of these adverse effects (n = 14 of 15), it either resolved without treatment (n = 9) or after withholding or decreasing the dose of dexmedetomidine (n = 5). One child received a fluid bolus for hypotension. The incidence of adverse effects did not differ based on indication for therapy, indication for ICU admission, or chronic disease. Children with cardiac disease or undergoing corrective cardiac surgery also did not have an increased incidence of adverse effects (26% vs. 18%; P = .51). The incidence of adverse effects did not increase with increased duration of therapy (Table 2). A comparison of those who experienced a complication and those who did not showed no differences in the maximal dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) or the effective dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) of dexmedetomidine. In those who experienced a complication, the mean dose of dexmedetomidine administered at the time of the complication was 0.7 0.3 g/kg per minute. When comparing the doses of dexmedetomidine administered at the time of complications, there were no difference in dose based on type of complication. However, patients with bradycardia had a somewhat higher dose (0.9 0.4 vs. 0.6 0.3 g/kg per minute; P = .89) than did patients who experienced other complications, although this was not statistically significant.

DISCUSSION

Dexmedetomidine may have a potentially useful role as a titratable, short‐acting sedative in hospitalized children. However, there are little data regarding pediatric dosage, efficacy, or safety. Off‐label usage of medications is common in pediatrics because of the relatively small number of children admitted to the hospital and the difficulties in performing large clinical trials of children. Clinicians in practice rely on small case series, such as this review, to provide useful information about safety, dosage, and potential duration of therapies. This study was performed in an ICU setting. However, the data can potentially be extrapolated to other hospitalized children.

Several authors have described the effectiveness of dexmedetomidine in children for short‐term or procedural sedation.5, 1016 In a prospective study by Berkenbosch et al.,12 48 children received a dexmedetomidine infusion of 0.51 g/kg per hour for noninvasive procedural sedation. In a retrospective review by Chrysostomou et al.,14 38 children received dexmedetomidine infusions of 0.10.75 g/kg per hour following cardiac or thoracic surgery. In a prospective study by Tobias et al.,5 mechanically ventilated children received a dose of 0.250.5 g/kg per hour for up to 24 hours. Dexmedetomidine was an effective sedative in all these pediatric case series.

In our cohort of children, dexmedetomidine appeared to be effective and to have few adverse effects when administered for durations allowed to exceed 24 hours. The drug's properties make it particularly promising for the maintenance of adequate sedation while weaning patients from mechanical ventilation. Unlike benzodiazepines and opioids, dexmedetomidine causes little respiratory depression and so allows for weaning from mechanical ventilation while simultaneously decreasing the dosage of longer‐acting sedative agents. Dexmedetomidine may also be useful as an additive to supplement ongoing sedation in spontaneously breathing children. This pharmacologic profile makes it an attractive sedative agent in the pediatric ICU setting. In this cohort, only a small number of children experienced adverse effects, none of which were associated with increased duration of therapy. Almost all these adverse effects resolved either spontaneously or by holding/lowering the dose of the infusion.

Previous case series in adults and previous case reports in children have suggested that dexmedetomidine may be used safely for longer than 24 hours.4, 8, 9, 1718 In studies by Shehabi et al. and Dasta et al.,89 a total of 66 adults received dexmedetomidine for median durations of 72 hours (range 35168 hours) and 54 hours (range 25124 hours), respectively. In these studies the number of adverse effects did not increased based on the duration of therapy. In the pediatric population, Hammer et al. reported 4 days of sedation of a child following tracheal reconstruction,18 and Finkel et al. described the prolonged use of dexmedetomidine in 2 children to facilitate weaning from opioids following heart transplantation.17 There were no complications reported in these pediatric case reports.

This is the first case series in children to describe the use of dexmedetomidine for longer than 24 hours. In larger adult studies, hypotension and bradycardia were the most common adverse effects noted with the use of dexmedetomidine.7 In a review of 136 adults by Dasta et al., 23% developed hypotension and 4% developed bradycardia.9 Chrysostomou et al. found that 15% of 33 adults admitted to the ICU following cardiac surgery developed hypotension.14 None of these patients became bradycardic.14 This incidence is similar to that found in our review.

This retrospective review had several limitations. Unfortunately, sedation scores were not routinely used in our institution during the period studied, nor were formal guidelines in place for the titration of sedation. These measures would have allowed us to better quantify effectiveness. In addition, these retrospectively collected data may not have accurately captured the adverse effects associated with dexmedetomidine infusions. The population examined was relatively small. Although there was not an increased incidence of adverse effects in certain subgroups (ie, cardiac), there was not a sufficient number of children in this review to definitively demonstrate safety.

In this cohort of children hospitalized in the ICU, dexmedetomidine appeared to be an effective sedative and to have few adverse effects when administered for relatively long durations. This pharmacologic profile makes it a potentially attractive medication in the hospital setting. Prospective studies are needed to critically examine the use of dexmedetomidine in the pediatric population.

Sedation is commonly administered to hospitalized children.16 An appropriate sedation level is needed to reduce agitation, to facilitate tolerance of invasive therapies, and to prevent invasive devices from being dislodged.16 Age and developmental level can significantly affect the effectiveness of sedation.13 Commonly used medications, such as benzodiazepines and opioids, can adequately sedate children but are difficult to titrate to reach an adequate or consistent level of sedation.13 Sedation of spontaneously breathing children is an even greater challenge because sedation can cause significant and variable respiratory depression and the need for mechanical ventilation.13

Dexmedetomidine (Precedex; Hospira Inc., Lake Forest, IL) is a centrally acting 2‐adrenergic receptor agonist that provides a titratable level of sedation with little respiratory depression when delivered by continuous infusion.69 Dexmedetomidine is approved by the U.S. Food and Drug Administration for the short‐term (<24‐hour) sedation of critically ill adults in the ICU setting.47 Despite the potential utility of dexmedetomidine in pediatric critical care, only a few published case series have described its use in children,5, 1020 and no published reviews have examined its use in children for longer than 24 hours. Although the elimination half‐life of a single dose of dexmedetomidine is 3 hours, the duration of action following discontinuation of a continuous infusion in children is also unknown.21 Reported side effects in adults of the use of dexmedetomidine include hypotension and bradycardia, but the safety of prolonged infusions in children has not been reported.

In this study, we describe our experience with the use of dexmedetomidine for sedation of children hospitalized in the pediatric ICU. Dexmedetomidine was administered off‐label for a variety of indications and for durations allowed to exceed 24 hours. Our objective was to retrospectively evaluate the efficacy and complication profile of dexmedetomidine in this population.

MATERIALS AND METHODS

This study was approved by the Institutional Review Board at Connecticut Children's Medical Center, and the criteria for informed consent were waived because of its retrospective nature.

Dexmedetomidine was added to the formulary by the Pharmacy and Therapeutics Committee of the study institution in December 2003. Prescribing was restricted to the pediatric intensive care unit (ICU). We retrospectively examined the medical records of all children who received dexmedetomidine for sedation between December 2003 and October 2005. Patients were identified from pharmacy records maintained for quality improvement purposes. The chart abstraction was performed by 2 of the investigators (C.L.C. and D.K.). Audits for uniformity were performed twice during the data abstraction by the principal investigator (C.C.). Dexmedetomidine was administered in all cases without a loading dose. Data were collected regarding hospital course, medications received, amount and duration of dexmedetomidine received, and complications associated with use of dexmedetomidine. During the review period, hemodynamic variables (heart rate, systolic blood pressure, and diastolic blood pressure) were recorded at least hourly for patients receiving dexmedetomidine. Adverse events were defined as occurring during infusion of dexmedetomidine. These events were determined after examination of previous publications describing associated adverse events7, 9, 14 and included abnormalities in hemodynamic parameters (hypotension, hypertension, tachycardia and bradycardia) and respiratory parameters (bradypnea and tachypnea). Values below or above the 5% or 95% normal range for age were considered abnormal. The Pediatric Risk of Mortality (PRISM) III score was used to quantify illness severity on admission to the ICU.22 The effective dose of dexmedetomidine was defined as the dose the patient received for the longest period.

Sedation Regimen at Study Institution

At the study institution, the typical initial therapy for sedation of spontaneously breathing or mechanically ventilated children is a combination of medium‐duration opioids and benzodiazepines, such as morphine and lorazepam. Although sedation scores were not routinely assessed during the study period, the level of sedation was targeted by the nursing staff and the attending physician to maintain comfort, reduce agitation, and allow for tolerance of treatment received. At the study institution these medications are initially administered on an as‐needed basis. If the patient requires additional sedation, they are scheduled every 2 to 4 hours plus given on an as‐needed basis for breakthrough agitation. If additional sedation is still required, the opioid is changed to a continuous infusion of fentanyl, along with scheduled lorazepam, titrated to achieve the desired level of sedation. In patients who require deeper sedation, additional medications such as a barbiturate, ketamine, or chloral hydrate are added.

Statistical Analysis

Clinical characteristics and differences in outcomes were compared using the Student t test for comparison of normally distributed continuous variables, the Mann‐Whitney U test for comparison of continuous variable not normally distributed, the Kruskal‐Wallis test for comparison of continuous variables among more than 2 groups using t tests, and the chi‐square test for comparison of categorical variables. Data was analyzed by case, not by patient, because only a small number of children received dexmedetomidine more than once during the same ICU admission. Most children who received dexmedetomidine more than once received the medication again on subsequent admissions to the ICU. A P value less than 0.05 was considered statistically significant. Data were analyzed using JMP statistical software (version 6.0.2; Cary, NC).

RESULTS

Dexmedetomidine was administered 74 times to 60 children (median age 1.5 years, range 0.117.2 years) during the study period. Most of the patients were male (57%); 53% were white, 23% were Hispanic, 16% were African American, and 8% were designated other. The median PRISM III score was 10 (017). The chronic illness profile and indications for admission are given in Table 1.

Medical History of All Children Receiving Dexmedetomidine
Chronic illness
  • Patients could be included in more than one category. Data expressed as frequency (%).

Congenital heart disease30%
Chronic respiratory disease (other than asthma)24%
None21%
Chronic neurological/developmental delay20%
Asthma11%
Other14%
Indications for ICU admission 
Respiratory distress/failure43%
After corrective cardiac surgery19%
After other surgery18%
Asthma exacerbation9%
Other11%

We found that dexmedetomidine was administered for 3 major indications: (1) as an additive supplementing ongoing sedation judged to be inadequate by the treating physician, (2) in anticipation of extubation to facilitate weaning of other sedation medications, and (3) in spontaneously breathing, nonintubated children to provide a titratable level of sedation without respiratory depression. Children could have more than 1 indication for using dexmedetomidine.

In 36 cases (49%), dexmedetomidine was administered for more than 24 hours. In all children the median effective dose for maintenance of adequate sedation was 0.7 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 23 hours (range 3451 hours; Figs. 1 and 2). Children who received dexmedetomidine for at most 24 hours had a significantly lower effective dose (median 0.5 g/kg per hour, range 0.22.5 g/kg per hour) than did those who received dexmedetomidine for more than 24 hours (median 1 g/kg per hour, range 0.32 g/kg per hour; P = .006). Comparisons of demographics and outcomes based on duration of infusion are given in Table 2.

Figure 1
Distribution of duration of infusion.
Figure 2
Effective doses for intubated and nonintubated children.
Comparing Duration of Dexmedetomidine
 Dexmedetomidine received for 24 hours (n = 38)Dexmedetomidine received for >24 hours (n = 36)
  • P < .05.

  • Data expressed as frequency (%) or median and range.

Age (years)0.9 (0.117.2)2.7 (0.415.5)
Male sex55%58%
Race/ethnicity  
African American16%17%
White53%53%
Hispanic21%25%
PRISM III score10 (017)10 (017)
Duration of infusion (hours)12 (324)*73 (27451)*
Effective dose (g/kg per hour)0.5 (0.22.5)*1 (0.32)*
ICU length of stay (hours)95 (16876)*360 (451634)*
Incidence of complications21%19%

In 53% of cases (n = 39), the dexmedetomidine was used to supplement ongoing sedation that was judged inadequate. In these patients the median effective dose was 0.9 g/kg per hour (range 0.252 g/kg per hour), with a median duration of therapy of 66 hours (range 6451 hours). In this group of patients for whom dexmedetomidine was used to supplement ongoing sedation were 4 patients whose dexmedetomidine was stopped because it was perceived as ineffective by the treating physician. In this subset of patients (n = 4), the median maximal dose was 1.5 g/kg per hour (range 0.81.5 g/kg per hour), and the median duration of infusion was 62 hours (range 1098 hours).

In 41% of cases (n = 30), the dexmedetomidine was used in anticipation of extubation in order to facilitate the weaning off other sedative medications. In these patients, the median effective dose was 0.5 g/kg per hour (range 0.22.5 g/kg per hour), with a median duration of therapy of 14 hours (range 353 hours). A comparison of sedative use before and after dexmedetomidine showed a significant reduction in the use of fentanyl infusions (43% vs. 17%; P = .009) and scheduled lorazepam (30% vs. 10%; P = .02). The median time to extubation after stopping the infusion was 0.6 hours. In 7 children, dexmedetomidine was continued following extubation for a median of 19 hours (range 0.8243.5 hours).

In 26% of cases (n = 19), children were extubated and spontaneously breathing when the dexmedetomidine was initiated. Compared with intubated children, the children who were extubated and spontaneously breathing were significantly older (P = .02) and had a higher level of acute illness at admission, as quantified by the PRISM III score (P = .049). There were no significant differences in sex or race (Table 3). The median effective dose, maximum dose, and duration of dexmedetomidine use did not differ between intubated and nonintubated children (Table 3 and Fig. 2).

Comparing Intubated and Unintubated Children
 Intubated (n = 55)Not intubated (n = 19)
  • P < .05.

  • Data expressed as frequency (%) or as median and range.

Age (years)0.9 (0.117.2)*4.2 (0.315.5)*
Male sex58%53%
Race/ethnicity  
African American16%16%
White49%63%
Hispanic24%21%
PRISM III score8 (017)*11 (017)*
Duration of infusion (hours)22 (3451)30 (6302)
Effective dose (g/kg per hour)0.7 (0.22.5)0.7 (0.31.2)
Maximum dose0.7 (0.22.5)0.7 (0.31.2)

In most cases (74%), the dexmedetomidine was stopped because the child no longer required sedation. Other indications for stopping the dexmedetomidine were inadequate level of sedation (7%), need for a longer duration of sedation (16%), and response to an adverse effect (3%).

Most children (80%) experienced no adverse effects during the dexmedetomidine infusion. The most common adverse effects identified were hypotension (9% of all cases), hypertension (8% of all cases), and bradycardia (3% of all cases). Only 1 child developed more than 1 complication (bradycardia and hypertension). In 93% of children who experienced one of these adverse effects (n = 14 of 15), it either resolved without treatment (n = 9) or after withholding or decreasing the dose of dexmedetomidine (n = 5). One child received a fluid bolus for hypotension. The incidence of adverse effects did not differ based on indication for therapy, indication for ICU admission, or chronic disease. Children with cardiac disease or undergoing corrective cardiac surgery also did not have an increased incidence of adverse effects (26% vs. 18%; P = .51). The incidence of adverse effects did not increase with increased duration of therapy (Table 2). A comparison of those who experienced a complication and those who did not showed no differences in the maximal dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) or the effective dose (0.6 0.2 vs. 0.8 0.4 g/kg per minute; P = .1) of dexmedetomidine. In those who experienced a complication, the mean dose of dexmedetomidine administered at the time of the complication was 0.7 0.3 g/kg per minute. When comparing the doses of dexmedetomidine administered at the time of complications, there were no difference in dose based on type of complication. However, patients with bradycardia had a somewhat higher dose (0.9 0.4 vs. 0.6 0.3 g/kg per minute; P = .89) than did patients who experienced other complications, although this was not statistically significant.

DISCUSSION

Dexmedetomidine may have a potentially useful role as a titratable, short‐acting sedative in hospitalized children. However, there are little data regarding pediatric dosage, efficacy, or safety. Off‐label usage of medications is common in pediatrics because of the relatively small number of children admitted to the hospital and the difficulties in performing large clinical trials of children. Clinicians in practice rely on small case series, such as this review, to provide useful information about safety, dosage, and potential duration of therapies. This study was performed in an ICU setting. However, the data can potentially be extrapolated to other hospitalized children.

Several authors have described the effectiveness of dexmedetomidine in children for short‐term or procedural sedation.5, 1016 In a prospective study by Berkenbosch et al.,12 48 children received a dexmedetomidine infusion of 0.51 g/kg per hour for noninvasive procedural sedation. In a retrospective review by Chrysostomou et al.,14 38 children received dexmedetomidine infusions of 0.10.75 g/kg per hour following cardiac or thoracic surgery. In a prospective study by Tobias et al.,5 mechanically ventilated children received a dose of 0.250.5 g/kg per hour for up to 24 hours. Dexmedetomidine was an effective sedative in all these pediatric case series.

In our cohort of children, dexmedetomidine appeared to be effective and to have few adverse effects when administered for durations allowed to exceed 24 hours. The drug's properties make it particularly promising for the maintenance of adequate sedation while weaning patients from mechanical ventilation. Unlike benzodiazepines and opioids, dexmedetomidine causes little respiratory depression and so allows for weaning from mechanical ventilation while simultaneously decreasing the dosage of longer‐acting sedative agents. Dexmedetomidine may also be useful as an additive to supplement ongoing sedation in spontaneously breathing children. This pharmacologic profile makes it an attractive sedative agent in the pediatric ICU setting. In this cohort, only a small number of children experienced adverse effects, none of which were associated with increased duration of therapy. Almost all these adverse effects resolved either spontaneously or by holding/lowering the dose of the infusion.

Previous case series in adults and previous case reports in children have suggested that dexmedetomidine may be used safely for longer than 24 hours.4, 8, 9, 1718 In studies by Shehabi et al. and Dasta et al.,89 a total of 66 adults received dexmedetomidine for median durations of 72 hours (range 35168 hours) and 54 hours (range 25124 hours), respectively. In these studies the number of adverse effects did not increased based on the duration of therapy. In the pediatric population, Hammer et al. reported 4 days of sedation of a child following tracheal reconstruction,18 and Finkel et al. described the prolonged use of dexmedetomidine in 2 children to facilitate weaning from opioids following heart transplantation.17 There were no complications reported in these pediatric case reports.

This is the first case series in children to describe the use of dexmedetomidine for longer than 24 hours. In larger adult studies, hypotension and bradycardia were the most common adverse effects noted with the use of dexmedetomidine.7 In a review of 136 adults by Dasta et al., 23% developed hypotension and 4% developed bradycardia.9 Chrysostomou et al. found that 15% of 33 adults admitted to the ICU following cardiac surgery developed hypotension.14 None of these patients became bradycardic.14 This incidence is similar to that found in our review.

This retrospective review had several limitations. Unfortunately, sedation scores were not routinely used in our institution during the period studied, nor were formal guidelines in place for the titration of sedation. These measures would have allowed us to better quantify effectiveness. In addition, these retrospectively collected data may not have accurately captured the adverse effects associated with dexmedetomidine infusions. The population examined was relatively small. Although there was not an increased incidence of adverse effects in certain subgroups (ie, cardiac), there was not a sufficient number of children in this review to definitively demonstrate safety.

In this cohort of children hospitalized in the ICU, dexmedetomidine appeared to be an effective sedative and to have few adverse effects when administered for relatively long durations. This pharmacologic profile makes it a potentially attractive medication in the hospital setting. Prospective studies are needed to critically examine the use of dexmedetomidine in the pediatric population.

References
  1. Doyle L,Colletti JE.Pediatric procedural sedation and analgesia.Pediatr Clin North Am.2006;53:279292.
  2. Krauss B,Green SM.Procedural sedation and analgesia in children.Lancet2006;367:76680.
  3. de Carvalho WB,Fonseca MCM.Pediatric sedation: still a hard long way to go.Pediatr Crit Care.2006;7:186187.
  4. Serlin S.Dexmedetomidine in pediatrics: controlled studies needed.Anesth Analg.2004;98:18091818.
  5. Tobias JD,Berkenbosch JW.Sedation during mechanical ventilation in infants and children: dexmedetomidine versus midazolam.South Med J.2004;97:451455.
  6. Coursin DB,Coursin DB,Maccioli GA.Dexmedetomidine.Curr Opin Crit Care.2001;7:221226.
  7. Martin E,Ramsay G,Mantz J,Sum‐Ping STJ.The role of the α2‐adrenoceptor agonist dexmedetomidine in postsurgical sedation in the intensive care unit.J Intensive Care Med.2003;18:2941.
  8. Shehabi Y,Ruettimann U,Adamson H, et al.Dexmedetomidine infusion for more than 24 hours in critically ill patients: sedative and cardiovascular effects.Intensive Care Med.2004;30:21882196.
  9. Dasta JF,Kane‐Gill SL,Durtschi AJ.Comparing dexmedetomidine prescribing patterns and safety in the naturalistic setting versus published data.Ann Pharmacother.2004;38:11301135.
  10. Tobias JD,Berkenbosch JW.Initial experience with dexmedetomidine in paediatric‐aged patients.Paediatr Anaesth.2002;12:171175.
  11. Ibacache ME,Munoz HR,Brandes V, et al.Single‐dose dexmedetomidine reduces agitation after sevoflurane anesthesia in children.Anesth Analg.2004;98:6063.
  12. Berkenbosch JW,Wankum PC,Tobias JD.Prospective evaluation of dexmedetomidine for noninvasive procedural sedation in children.Pediatr Crit Care.2005;6:435439.
  13. Mason KP,Zgleszewski SE,Dearden JL, et al.Dexmedetomidine for pediatric sedation for computed tomography imaging studies.Anesth Analg.2006;103:5762.
  14. Chrysostomou C,Di Filippo S,Manrique AM, et al.Use of dexmedetomidine in children after cardiac and thoracic surgery.Pediatr Crit Care.2006;7:126131.
  15. Mukhtar AM,Obayah EM,Hassona AM.The use of dexmedetomidine in pediatric cardiac surgery.Anesth Analg.2006;103:5256.
  16. Rosen DA,Daume JT.Short duration large dose dexmedetomidine in a pediatric patient during procedural sedation.Anesth Analg.2006;103:6869.
  17. Finkel JC,Elrefai A.The use of dexmedetomidine to facilitate opioid and benzodiazepine detoxification in an infant.Anesth Analg.2004;98:16581659.
  18. Hammer GB,Philip BM,Schroeder AR, et al.Prolonged infusion of dexmedetomidine for sedation following tracheal resection.Paediatr Anaesth.2005;15:616620.
  19. Berkenbosch JW,Tobias JD.Development of bradycardia during sedation with dexmedetomidine in an infant concurrently receiving digoxin.Pediatr Crit Care.2003;4:203205.
  20. Tobias JD,Berkenbosch JW,Russo P.Additional experience with dexmedetomidine in pediatric patients.South Med J.2003;96:871875.
  21. Kivisto KT,Kallio A,Neuvonen PJ.Pharmacokinetics and pharmacodynamics of transdermal dexmedetomidine.Eur J Clin Pharmacol.1994;46:345349.
  22. Pollack MM,Patel KM,Ruttimann UE.PRISM III: an updated Pediatric Risk of Mortality score.Crit Care Med.1996;24:743752.
References
  1. Doyle L,Colletti JE.Pediatric procedural sedation and analgesia.Pediatr Clin North Am.2006;53:279292.
  2. Krauss B,Green SM.Procedural sedation and analgesia in children.Lancet2006;367:76680.
  3. de Carvalho WB,Fonseca MCM.Pediatric sedation: still a hard long way to go.Pediatr Crit Care.2006;7:186187.
  4. Serlin S.Dexmedetomidine in pediatrics: controlled studies needed.Anesth Analg.2004;98:18091818.
  5. Tobias JD,Berkenbosch JW.Sedation during mechanical ventilation in infants and children: dexmedetomidine versus midazolam.South Med J.2004;97:451455.
  6. Coursin DB,Coursin DB,Maccioli GA.Dexmedetomidine.Curr Opin Crit Care.2001;7:221226.
  7. Martin E,Ramsay G,Mantz J,Sum‐Ping STJ.The role of the α2‐adrenoceptor agonist dexmedetomidine in postsurgical sedation in the intensive care unit.J Intensive Care Med.2003;18:2941.
  8. Shehabi Y,Ruettimann U,Adamson H, et al.Dexmedetomidine infusion for more than 24 hours in critically ill patients: sedative and cardiovascular effects.Intensive Care Med.2004;30:21882196.
  9. Dasta JF,Kane‐Gill SL,Durtschi AJ.Comparing dexmedetomidine prescribing patterns and safety in the naturalistic setting versus published data.Ann Pharmacother.2004;38:11301135.
  10. Tobias JD,Berkenbosch JW.Initial experience with dexmedetomidine in paediatric‐aged patients.Paediatr Anaesth.2002;12:171175.
  11. Ibacache ME,Munoz HR,Brandes V, et al.Single‐dose dexmedetomidine reduces agitation after sevoflurane anesthesia in children.Anesth Analg.2004;98:6063.
  12. Berkenbosch JW,Wankum PC,Tobias JD.Prospective evaluation of dexmedetomidine for noninvasive procedural sedation in children.Pediatr Crit Care.2005;6:435439.
  13. Mason KP,Zgleszewski SE,Dearden JL, et al.Dexmedetomidine for pediatric sedation for computed tomography imaging studies.Anesth Analg.2006;103:5762.
  14. Chrysostomou C,Di Filippo S,Manrique AM, et al.Use of dexmedetomidine in children after cardiac and thoracic surgery.Pediatr Crit Care.2006;7:126131.
  15. Mukhtar AM,Obayah EM,Hassona AM.The use of dexmedetomidine in pediatric cardiac surgery.Anesth Analg.2006;103:5256.
  16. Rosen DA,Daume JT.Short duration large dose dexmedetomidine in a pediatric patient during procedural sedation.Anesth Analg.2006;103:6869.
  17. Finkel JC,Elrefai A.The use of dexmedetomidine to facilitate opioid and benzodiazepine detoxification in an infant.Anesth Analg.2004;98:16581659.
  18. Hammer GB,Philip BM,Schroeder AR, et al.Prolonged infusion of dexmedetomidine for sedation following tracheal resection.Paediatr Anaesth.2005;15:616620.
  19. Berkenbosch JW,Tobias JD.Development of bradycardia during sedation with dexmedetomidine in an infant concurrently receiving digoxin.Pediatr Crit Care.2003;4:203205.
  20. Tobias JD,Berkenbosch JW,Russo P.Additional experience with dexmedetomidine in pediatric patients.South Med J.2003;96:871875.
  21. Kivisto KT,Kallio A,Neuvonen PJ.Pharmacokinetics and pharmacodynamics of transdermal dexmedetomidine.Eur J Clin Pharmacol.1994;46:345349.
  22. Pollack MM,Patel KM,Ruttimann UE.PRISM III: an updated Pediatric Risk of Mortality score.Crit Care Med.1996;24:743752.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
142-147
Page Number
142-147
Article Type
Display Headline
Use of dexmedetomidine for sedation of children hospitalized in the intensive care unit
Display Headline
Use of dexmedetomidine for sedation of children hospitalized in the intensive care unit
Legacy Keywords
pediatric, sedation, dexmedetomidine
Legacy Keywords
pediatric, sedation, dexmedetomidine
Sections
Article Source

Copyright © 2008 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Connecticut Children's Medical Center, 282 Washington Street, Hartford, CT 06106
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Article PDF Media

Obstructive Jaundice

Article Type
Changed
Sun, 05/28/2017 - 22:20
Display Headline
Fate of patients with obstructive jaundice

Jaundice is an important clinical entity associated with a wide variety of differential diagnoses for which the prognosis differs depending on etiology. Recently, the etiological spectrum of unselected patients with jaundice has been reported.12 Among patients with cholestatic jaundice, abdominal ultrasound remains the primary investigation in order to distinguish extrahepatic biliary obstruction from intrahepatic disease.

Recent studies of patients with jaundice have included a limited number of patients with jaundice due to biliary obstruction and provided no analysis of the clinical characteristics and prognosis of these patients.12 Moreover, the prognosis of unselected patients with severe obstructive jaundice is unclear nowadays. The most common clinical presentation of malignant obstructive jaundice traditionally has been considered silent jaundice.35 However, the clinical features of malignant versus benign causes of jaundice have not been a focus of interest during the last decades, and it is not clear from the literature what proportion of patients with choledocholithiasis and jaundice present with silent jaundice. Studies on the prognosis of patients with jaundice were published more than 20 years ago, prior to major advances in imaging modalities and endoscopic treatment.614 Thus, we aimed to study the clinical features, etiology, and prognosis of patients presenting with obstructive jaundice in the current era of improved imaging and noninvasive treatment.

MATERIAL AND METHODS

Over a 2‐year period from the beginning of 2003 to the end of 2004, all adult patients with s‐bilirubin of 5.85 mg/dL (100 mol/l; reference value < 25 mol/L) were identified at the clinical laboratory serving the Sahlgrenska University Hospital (Gothenburg, Sweden), which analyzed the serum bilirubin of all patients in Gothenburg. Sahlgrenska University Hospital provides hospital services for all inhabitants of the city and comprises 3 hospitals (Sahlgrenska Hospital, stra Hospital, and Mlndal Hospital) that serve as community hospitals as well as a university hospital. The Gothenburg metropolitan area has 600,000 inhabitants.

The inclusion criteria for the study cohort were s‐bilirubin 100 mol/L at any point during the 2‐year period with evidence of dilated biliary ducts on abdominal ultrasound. A retrospective review of medical records was performed to retrieve information on the presence of abdominal pain associated with jaundice, computerized tomography (CT) and/or magnetic resonance cholangio‐pancreatography (MRCP) testing, and s‐AST, s‐ALT, s‐ALP, and bilirubin levels. The liver tests performed at the time that s‐bilirubin peaked during hospitalization were analyzed. Information about whether abdominal pain was associated with jaundice at the time of admission to the hospital, was obtained from medical records. The etiology of and treatment for the biliary obstruction were noted. Furthermore, the prognosis of the patients was analyzed. If a patient was discharged from the hospital, information about whether the patient was alive at the time of follow‐up was obtained from the Swedish National Registration of Inhabitants; if the patient had died outside the hospital, a death certificate was requested from the Cause of Death Register of the Swedish National Board of Health and Welfare. Patients were followed up in July 2005, providing a follow‐up period ranging from 6 months to 2.5 years.

Statistics

To test differences between groups, the Fisher exact test was used for dichotomous variables and the Mann‐Whitney test for continuous variables. All tests were 2‐tailed and were conducted at a 5% significance level. The results are presented as medians and interquartile ranges (IQRs).

RESULTS

Patients

During the study period 749 patients were consecutively admitted to our hospital for severe jaundice with bilirubin 5.85 mg/dL (100 mol/L). Among these patients, a total of 241 (32%) had ultrasound evidence of obstructive jaundice at various levels of the biliary tree. In the total study group, the median age was 71 years (IQR 5981 years), with 129 women and 112 men. The oldest patient was 94 years old and the youngest 18 years. No patient was lost to follow‐up.

Causes

The causes of the obstructive jaundice are shown in Table 1. Among the different types of malignancy causing obstructive jaundice, pancreatic cancer and cholangiocarcinoma were the most common, followed by the other malignancies category (Table 1). As shown in Table 2, a wide variety of other malignancies caused cases of biliary obstruction, although most were a result of metastases from gastrointestinal malignancies. Gallstone disease and biliary stricture were the most common benign causes. Less common causes are shown in Table 2. Patients with malignant versus benign obstructive jaundice were similar in age (Table 3). However, only 10 patients (6.5%) with malignant obstructive jaundice (OJ) were less than 50 years old, whereas 23 patients (26%) with benignly caused OJ were under the age of 50. Among the patients with malignancy, patients with pancreatic cancer were significantly older than those with cholangiocarcinoma (P = .04, Table 1). No other major age differences were observed in the etiological groups. Most patients with gallstone disease presenting with jaundice had experienced abdominal pain in association with jaundice, but the jaundice of 9% of the patients was painless (Fig. 1). This was in contrast with patients whose OJ was caused by different types of malignancies, a minority of whom experienced pain at presentation (Fig. 1). Table 3 shows a comparison of patients with a malignant obstruction and those with a benign obstruction. Abdominal pain associated with jaundice was less prevalent at presentation in patients with malignant obstructive jaundice compared with those with nonmalignant obstructive jaundice (34% vs. 71%; P < .0001; Table 3). In 4 patients, the cause of jaundice could not be determined from chart review. Three of these patients presented late in a generally bad condition; ultrasound showed dilated ducts, but these patients died in a few days, before further investigations had been performed (autopsies were not performed), and 1 patient refused further investigations. Thus, an etiological explanation was found for the obstruction of almost all patients.

Demographics of Major Diagnostic Groups, Investigations Performed in Each Group, and Treatment and Prognosis
 Pancreatic cancerCholangio‐cancerOther cancersPapilla cancersBiliary stricturesGallstone diseaseOther diagnosesPSC
  • The results for age and survival in days are shown as medians with interquartile ranges in parentheses.

  • F, female, M, male.

Total number6944365757185
Age73 (6782)67 (5678)67 (5975)79 (7081)80 (5184)69 (4983)72 (5285)61 (3468)
Sex‐F/M36/3327/1719/173/24/329/289/92/3
Surgery10/6910/441/363/50/721/574/181/5
Alive at follow‐up3/69 (4.3%)2/44 (4.5%)2/36 (5.6%)1/5 (20%)6/7 (86%)46/57 (80.1%)12/18 (66%)4/5 (80%)
Survival (days)142 (58267)166 (80300)31 (1873)257 (130380)510 (455900)558 (424665)412 (103558)570 (319676)
Other Malignancies Causing Both Obstructive Jaundice and Intrahepatic Jaundice Not Classified Elsewhere and Other Causes of Jaundice Not Classified Elsewhere
Type of malignancyNumber of patientsOther cause of OJ not classified elsewhereNumber of patients
Colorectal cancer with liver metastases9Cholangitis4
Liver metastases with unknown primary tumor9Papillary adenoma4
Gastric cancer with liver metastases5Unknown cause4
Small bowel cancer with liver metastases2Choledochal injury after cholecystectomy2
Neuroendocrine tumor with liver metastases2Retroperitoneal fibrosis1
Primary hepatocellular cancer2Mirizzis syndrome1
Esophageal cancer with liver metastases1Chronic pancreatitis1
Renal cancer with liver metastases1Duodenal diverticula1
Lung cancer with liver metastases1  
Tuba uteri cancer with liver metastases1  
Prostate cancer with liver metastases1  
Chronic lymphatic leukemia with liver infiltrates1  
Liver cancer of unknown source1  
Demographics, Liver Test Results, Investigations Undertaken, and Treatment of and Prognosis for patients with a Malignant Form of Obstructive Jaundice and a Nonmalignant Cause of Jaundice
 Malignant obstructionBenign obstruction
  • The results are shown as medians with interquartile ranges in parentheses.

  • P < 0.05;

  • P < 0.01;

  • < 0.001.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (medians, with interquartile range in parentheses). The percentage of patients with abdominal pain at presentation is in parentheses. CT, computerized tomography; MRCP, magnetic resonance cholangio‐pancreatography; ERCP, endoscopic retrograde cholangio‐pancreatography; PTC, percutaneous transhepatic cholangiography.

Total number of patients15487
Female/male85/6944/43
Age72 (6181)69 (4983)
Abdominal pain at presentation53/154 (34%)62/87 (71%)
AST3.3 (2.35.1)3.3 (2.16.4)
ALT3.1 (26)4.3 (2.69.1)
ALP9.9 (4.813.3)5.9 (3.78.5)
Bilirubin13.8 (1020)7.1 (5.79.0)
CT125/154 (81%)47/87 (54%)
MRCP47/154 (30%)27/87 (31%)
ERCP108/154 (70%)67/87 (77%)
PTC59/154 (38%)7/87 (8%)
Surgery24/154 (15.6%)*26/87 (29.9%)
Alive at follow‐up8/154 (5.2%)68/87 (78%)
Figure 1
Proportions of patients in the different diagnosis groups who had abdominal pain at presentation.

Investigations

Investigations carried out to verify the diagnoses of all 241 patients are listed in Table 3. All patients underwent abdominal ultrasound, which was a prerequisite for inclusion in the analysis of patients with dilated biliary ducts. Other diagnostic tools were MRCP, endoscopic retrograde cholangio‐pancreatography (ERCP; as well as therapeutic), and percutaneous transhepatic choangiography (PTC); 12 patients received a diagnostic abdominal laparoscopy, and 1 patient had a laparotomy for diagnostic purposes. CT was more commonly utilized in patients with malignancies, whereas the use of MRCP was similar for patients with malignancies and those without malignancies (Table 3). Median s‐bilirubin level of the patients with malignancies was higher than that of patients without malignancies (Table 3; P < .0001). Among the major etiological groups, s‐bilirubin level was higher in the cholangiocarcinoma group than in the group with pancreatic cancer (Table 4; P < .05), but otherwise no significant differences were observed within the malignant group. However, patients with gallstone disease had significantly lower levels of bilirubin compared with those in the different etiological groups with malignant obstruction (P < .05 for all comparisons; Table 4). Patients with liver metastases had the highest levels of alkaline phosphatase (ALP), followed by patients with cholangiocarcinoma (Table 4). In general, patients with a malignant cause of obstructive jaundice had higher ALP values than those whose OJ had a nonmalignant cause (Table 4). The groups did not differ in aspartate aminotransferase level. However, alanine aminotransferase level of patients with gallstone disease was higher than that of patients with cholangiocarcinoma, P = .009, and of patients with other cancers, P = .02 (Table 4).

Liver Test Results of Patients in the Major Diagnostic Groups
 Pancreatic cancerCholangio‐carcinomaOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (median, with interquartile range in parentheses).

AST3.3 (2.46)3.1 (2.15)3.7 (2.45.1)3.7 (2.64.7)5.6 (2.77.3)3.1 (1.76.7)3.9 (2.46.1)3.3 (3.16.1)
ALT4.4 (2.16.3)2.7 (2.14.1)2.7 (1.43.7)2.6 (2.33.4)4.4 (2.96.9)4.3 (2.610.9)4.4 (2.96.3)2.6 (1.45.7)
ALP8.3 (4.815.6)10.1 (516.6)12.4 (4.419.4)8.1 (4.410.1)7.2 (3.38.9)5.4 (3.37.8)7.1 (4.49.4)10 (513.3)
Bilirubin12.9 (9.517.3)16.7 (11.921.4)13.1 (8.821.2)14.8 (13.416.8)8.6 (7.611.3)6.7 (5.68.1)7.9 (5.211.4)13.8 (12.816.7)

Treatment

Of all 241 patients with obstructive jaundice, 56 (23%) had been operated on, with 1 patient with a cholangiocarcinoma (klatskin tumor) receiving a transplanted liver. Of patients with malignant obstruction, 24 of 154 (15%) underwent an operation, whereas 30% of those with benign obstructions were operated on (Tables 1 and 2). Therapeutic ERCP was used similarly in the malignant and the nonmalignant cases (Table 3).

PTC was used in the vast majority of patients whose obstruction was caused by a malignancy and in only a few of the patients whose obstruction had a benign cause (Table 3).

Prognosis

A total of 165 of the 241 patients (68.5%) died during follow‐up. Mortality was very high among patients with malignant obstructive jaundice, with only 8 of 154 patients (5.2%) alive at the end of follow‐up (Table 3). All these patients had been followed for at least 1 year (mean duration of follow‐up, 535 days). Among those who had survived at least 1 year, 1 patient with cholangiocarcinoma had undergone a liver transplantation, and another 5 patients had been operated on, 3 with pancreatic cancer, 1 with cholangiocarcinoma, 1 with a papilla Vateri cancer, and 1 with carcinoid syndrome with liver metastases. One patient with tuba uteri cancer who had received chemotherapy was also alive. The survival rates of the different etiological groups are shown in Table 1. Of 24 patients undergoing surgery for a malignant condition leading to obstructive jaundice, only 9 (37.5%) survived 1 year. The mortality in the total study group within 3 months of diagnosis was 32% (Table 5). The 3‐month, 6‐month, and 1‐year survival rates for the different etiological groups are given in Table 5. Generally, the patients with benign obstructive jaundice had a good prognosis. A total of 46 of 57 patients (80%) with gallstone disease were alive at the end of follow‐up. Only 3 patients with gallstone disease did not survive for 3 months after jaundice occurred. All these patients were very old, none died while hospitalized for jaundice, and only 1 death could be attributed to gallstone disease (cholangitis and sepsis) 1 month after the initial hospitalization. Figure 2A,B shows the mortality over time among the major etiological groups.

Survival for 3, 6, and 12 Months of Patients in the Different Diagnostic Groups
 Pancreatic cancerCholangio cancerOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • Percentages are in parentheses.

3 months' survival44/69 (63.8%)32/44 (72.7%)6/36 (16.7%)4/5 (80%)7/7 (100%)54/57 (95%)13/16 (81%)5/5 (100%)
6 months' survival28/69 (40.6%)20/44 (45.5%)5/36 (13.9%)3/5 (60%)7/7 (100%)50/57 (88%)11/16 (68%)4/5 (80%)
12 months' survival10/69 (14.5%)9/44 (20.5%)2/36 (5.6%)2/5 (40%)7/7 (100%)47/57 (82%)14/18 (77%)4/5 (80%)
Figure 2
(A) Mortality over time among the major etiological groups. (B) Mortality over time of patients with cancer and without cancer. PC, pancreatic cancer; CC, cholangiocancer; OC, other cancer.

DISCUSSION

Our analysis of the causes of jaundice among unselected patients with a bilirubin level 5.85 mg/dL (100 mol/L) revealed that approximately one third of the cases were a result of obstructive jaundice. Studies published more than 20 years ago are available on the etiology and prognosis of these patients, reflecting the diagnostic techniques and hospital practice at that time.69 Furthermore, more recently published studies report the etiological spectrum of patients with obstructive jaundice in Africa and India.1012 In our study population, 154 of 241 patients (64%) had a malignancy, which is remarkably similar to the 61% and 65% of cases of obstructive jaundice due to malignancy reported in studies published more than 25 years ago from Denmark and Spain, respectively.67, 14

The results of the current study demonstrate the poor prognosis of patients with hepatobiliary malignancy that causes obstructive jaundice. The patients whose OJ was caused by a malignancy had a mortality rate of approximately 95% during the study's rather short follow‐up. Previous studies, mostly from the 1980s, found similarly dismal outcomes,1213 suggesting that the prognosis of these patients has not improved during the last 3 decades. Among patients hospitalized for malignant obstructive jaundice in Denmark in the 1970s and the beginning of the 1980s, 1‐year survival was reported to be 11%.14 Thus, unfortunately, the prognosis of patients presenting with jaundice caused by hepatobiliary cancer obstructing the biliary ducts (or due to liver metastases) does not seem to have improved during the last 3 decades. The most common cause of malignant obstructive jaundice in the current study was pancreatic cancer, which is in agreement what was reported in earlier studies.3, 1115 The poor prognosis of patients with pancreatic cancer is well known, but operative mortality is very low nowadays, and some series have reported 5‐year survival rates in the range of 10%30%.1620 The results of the current study suggest that the prognosis for patients with pancreatic cancer presenting with bilirubin 5.85 (100 mL/L) is worse than the 5‐year survival rates reported in recent studies.1620

In the current study patients with cholangiocarcinoma were almost one third of those with malignant obstructive jaundice, which is a higher proportion than that previously reported in series from Australia (9%), India (14%), and Denmark (17%).13, 11, 14 The increased proportion of patients with cholangiocarcinoma might reflect the recent observations of an increased incidence of cholangiocarcinoma in many countries.2122 Similar to the situation of patients with pancreatic cancer, very few patients with cholangiocancer will survive long term,2325 and as in the current study, the prognosis of these patients presenting with severe jaundice seems even worse. Mortality among our patients with malignancies other than pancreatic cancer and cholangiocancer was also very high, with only 5% surviving, mostly because of liver metastases. This is identical to the 1‐year survival of patients with liver metastases presenting with jaundice in Denmark more than 25 years ago.14 Although our patients might not be directly comparable to those seen in Denmark at that time, the results of the current study do suggest that the prognosis of patients with jaundice resulting from liver metastases has not improved over time, despite the considerable advances in diagnostic procedures during the last 2 or 3 decades. One of the limitations of the study besides its retrospective design is potentially excluding patients who were less sick (those with bilirubin levels below that used as an inclusion criterion), affecting survival rates. Other limitations might be defining biliary obstruction based on the results of ultrasound. However, we found very good correlation between ultrasound evidence of dilated biliary ducts and those who had evidence of biliary obstruction on MRCP and ERCP (data not shown).

However, one seemingly large difference between the current study and the Danish study14 is in the prognosis of patients with gallstone disease. The overall 1‐year survival was similar in the 2 studies, but whereas in the Danish study the deaths of 9 of 105 patients (8.6%) was attributed to their gallstone disease, the death of only 1 of the 57 patients (1.8%) in the current study could be attributed to gallstone disease. The reason for this difference is not easily explained but might have been a result of better diagnostic instruments and/or more commonly used ERCP procedures than were previously available.

Although jaundice resulting from a malignancy in the hepatobiliary tract is said to be painless,35 in our study approximately one third of patients with a malignancy experienced pain at presentation. However, our study confirmed that abdominal pain was significantly more often associated with benign conditions. The limitation of the current study was its retrospective nature. However, information about the occurrence of abdominal pain was available in medical records of all patients. Although we could not analyze the character, location, or nature of the abdominal pain, the attending doctor always asked a patient about whether he or she was experiencing abdominal pain.

We can conclude that the severe jaundice of one third of patients was a result of obstructive jaundice. Most of these cases were also a result of a malignancy, with high bilirubin levels indicating prolonged biliary obstruction. Obstructive jaundice caused by a malignancy carried a very poor prognosis, with approximately 95% mortality during a 1‐ to 2‐year follow‐up period. In the absence of methods to cure a significant number of these patients, good methods of palliation are important challenges in the near future.

References
  1. Whitehead MW,Hainsworth I,Kingham JG.The causes of obvious jaundice in South West Wales: perceptions versus reality.Gut.2001;48:409413.
  2. Björnsson E,Ismael S,Nejdet S,Kilander A.Severe jaundice in Sweden in the new millennium: causes, investigations, treatment and prognosis.Scand J Gastroenterol.2003;38:8694.
  3. Lidofsky SD.Jaundice. In:O'Grady JG,Lake JR,Howdle PD, eds.Comprehensive Clinical Hepatology.London UK:Mosby;2000:5.15.17.
  4. Clain A.Examination of an adolescent or an adult patient with jaundice. Hamilton Baileys Demonstrations of Clinical Skills in Clinical Surgery.Bristol, UK:John Wright 1967:271273.
  5. Sherlock S,Dooley J.Jaundice. In:Sherlock S,Dooley J, eds.Diseases of the Liver and Biliary Tract.London, UK:Blackwell;1993:19992013.
  6. Burcharth F,Christiansen L,Efsen F,Nielbo N,Stage P.Percutaneous transhepatic cholangiography in diagnostic evaluation of 160 jaundiced patients. Results of an improved technic.Am J Surg.1977;133:559561.
  7. Pedrosa CS,Casanova R,Lezana AH,Fernandez MC.Computed tomography in obstructive jaundice. Part II: The cause of obstruction.Radiology.1981;139:635645.
  8. Thomas MJ,Pellegrini CA,Way LW.Usefulness of diagnostic tests for biliary obstruction.Am J Surg.1982;144:102108.
  9. Honickman SP,Mueller PR,Wittenberg J, et al.Ultrasound in obstructive jaundice: prospective evaluation of site and cause.Radiology.1983;147:511515.
  10. Di Bisceglie AM,Oettle GJ,Hodkinson HJ,Segal I.Obstructive jaundice in the South African black population.J Clin Gastroenterol.1986;8:538541.
  11. Sharma MP,Ahuja V.Aetiological spectrum of obstructive jaundice and diagnostic ability of ultrasonography: a clinician's perspective.Trop Gastroenterol.1999;20:167169.
  12. Gillen P,Peel AL.Failure to improve survival by improved diagnostic techniques in patients with malignant jaundice.Br J Surg.1986;73:631633.
  13. Little JM,Cunningham P.Obstructive jaundice in a referral unit: surgical practice and risk factors.Aust N Z J Surg.1985;55:427432.
  14. Malchow‐Moller A,Matzen P,Bjerregaard B, et al.Causes and characteristics of 500 consecutive cases of jaundice.Scand J Gastroenterol.1981;16:16.
  15. Cotton PB.Management of malignant bile duct obstruction.J Gastroenterol Hepatol.1990;5(Suppl 1):6377.
  16. Neoptolemos JP,Stocken DD,Friess H, et al.A randomized trial of chemoradiotherapy and chemotherapy after resection of pancreatic cancer.N Engl J Med.2004;350:12001210.
  17. Lim JE,Chien MW,Earle CC.Prognostic factors following curative resection for pancreatic adenocarcinoma: a population‐based, linked database analysis of 396 patients.Ann Surg.2003;237:7485.
  18. Gudjonsson B.Critical look at resection for pancreatic cancer.Lancet.1996;348:1676.
  19. Faivre J,Forman D,Esteve J,Gatta G.Survival of patients with primary liver cancer, pancreatic cancer and biliary tract cancer in Europe.EUROCARE Working Group.Eur J Cancer.1998;34:21842190.
  20. Li D,Xie K,Wolff R,Abbruzzese JL.Pancreatic cancer.Lancet.2004;363:10491057.
  21. Taylor‐Robinson SD,Toledano MB,Arora S, et al.Increase in mortality rates from intrahepatic cholangiocarcinoma in England and Wales 1968–1998.Gut.2001;48:816820.
  22. Shaib YH,Davila JA,McGlynn K,El‐Serag HB.Rising incidence of intrahepatic cholangiocarcinoma in the United States: a true increase?J Hepatol.2004;40:472477.
  23. Jarnagin WR,Shoup M.Surgical management of cholangiocarcinoma.Semin Liver Dis.2004;24:189199.
  24. Nakeeb A,Tran KQ,Black MJ, et al.Improved survival in resected biliary malignancies.Surgery.2002;132:555563.
  25. Jarnagin WR,Burke E,Powers C,Fong Y,Blumgart LH.Intrahepatic biliary enteric bypass provides effective palliation in selected patients with malignant obstruction at the hepatic duct confluence.Am J Surg.1998;175:453460.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
117-123
Legacy Keywords
jaundice‐carcinoma, gallstones, abdominal pain, prognosis
Sections
Article PDF
Article PDF

Jaundice is an important clinical entity associated with a wide variety of differential diagnoses for which the prognosis differs depending on etiology. Recently, the etiological spectrum of unselected patients with jaundice has been reported.12 Among patients with cholestatic jaundice, abdominal ultrasound remains the primary investigation in order to distinguish extrahepatic biliary obstruction from intrahepatic disease.

Recent studies of patients with jaundice have included a limited number of patients with jaundice due to biliary obstruction and provided no analysis of the clinical characteristics and prognosis of these patients.12 Moreover, the prognosis of unselected patients with severe obstructive jaundice is unclear nowadays. The most common clinical presentation of malignant obstructive jaundice traditionally has been considered silent jaundice.35 However, the clinical features of malignant versus benign causes of jaundice have not been a focus of interest during the last decades, and it is not clear from the literature what proportion of patients with choledocholithiasis and jaundice present with silent jaundice. Studies on the prognosis of patients with jaundice were published more than 20 years ago, prior to major advances in imaging modalities and endoscopic treatment.614 Thus, we aimed to study the clinical features, etiology, and prognosis of patients presenting with obstructive jaundice in the current era of improved imaging and noninvasive treatment.

MATERIAL AND METHODS

Over a 2‐year period from the beginning of 2003 to the end of 2004, all adult patients with s‐bilirubin of 5.85 mg/dL (100 mol/l; reference value < 25 mol/L) were identified at the clinical laboratory serving the Sahlgrenska University Hospital (Gothenburg, Sweden), which analyzed the serum bilirubin of all patients in Gothenburg. Sahlgrenska University Hospital provides hospital services for all inhabitants of the city and comprises 3 hospitals (Sahlgrenska Hospital, stra Hospital, and Mlndal Hospital) that serve as community hospitals as well as a university hospital. The Gothenburg metropolitan area has 600,000 inhabitants.

The inclusion criteria for the study cohort were s‐bilirubin 100 mol/L at any point during the 2‐year period with evidence of dilated biliary ducts on abdominal ultrasound. A retrospective review of medical records was performed to retrieve information on the presence of abdominal pain associated with jaundice, computerized tomography (CT) and/or magnetic resonance cholangio‐pancreatography (MRCP) testing, and s‐AST, s‐ALT, s‐ALP, and bilirubin levels. The liver tests performed at the time that s‐bilirubin peaked during hospitalization were analyzed. Information about whether abdominal pain was associated with jaundice at the time of admission to the hospital, was obtained from medical records. The etiology of and treatment for the biliary obstruction were noted. Furthermore, the prognosis of the patients was analyzed. If a patient was discharged from the hospital, information about whether the patient was alive at the time of follow‐up was obtained from the Swedish National Registration of Inhabitants; if the patient had died outside the hospital, a death certificate was requested from the Cause of Death Register of the Swedish National Board of Health and Welfare. Patients were followed up in July 2005, providing a follow‐up period ranging from 6 months to 2.5 years.

Statistics

To test differences between groups, the Fisher exact test was used for dichotomous variables and the Mann‐Whitney test for continuous variables. All tests were 2‐tailed and were conducted at a 5% significance level. The results are presented as medians and interquartile ranges (IQRs).

RESULTS

Patients

During the study period 749 patients were consecutively admitted to our hospital for severe jaundice with bilirubin 5.85 mg/dL (100 mol/L). Among these patients, a total of 241 (32%) had ultrasound evidence of obstructive jaundice at various levels of the biliary tree. In the total study group, the median age was 71 years (IQR 5981 years), with 129 women and 112 men. The oldest patient was 94 years old and the youngest 18 years. No patient was lost to follow‐up.

Causes

The causes of the obstructive jaundice are shown in Table 1. Among the different types of malignancy causing obstructive jaundice, pancreatic cancer and cholangiocarcinoma were the most common, followed by the other malignancies category (Table 1). As shown in Table 2, a wide variety of other malignancies caused cases of biliary obstruction, although most were a result of metastases from gastrointestinal malignancies. Gallstone disease and biliary stricture were the most common benign causes. Less common causes are shown in Table 2. Patients with malignant versus benign obstructive jaundice were similar in age (Table 3). However, only 10 patients (6.5%) with malignant obstructive jaundice (OJ) were less than 50 years old, whereas 23 patients (26%) with benignly caused OJ were under the age of 50. Among the patients with malignancy, patients with pancreatic cancer were significantly older than those with cholangiocarcinoma (P = .04, Table 1). No other major age differences were observed in the etiological groups. Most patients with gallstone disease presenting with jaundice had experienced abdominal pain in association with jaundice, but the jaundice of 9% of the patients was painless (Fig. 1). This was in contrast with patients whose OJ was caused by different types of malignancies, a minority of whom experienced pain at presentation (Fig. 1). Table 3 shows a comparison of patients with a malignant obstruction and those with a benign obstruction. Abdominal pain associated with jaundice was less prevalent at presentation in patients with malignant obstructive jaundice compared with those with nonmalignant obstructive jaundice (34% vs. 71%; P < .0001; Table 3). In 4 patients, the cause of jaundice could not be determined from chart review. Three of these patients presented late in a generally bad condition; ultrasound showed dilated ducts, but these patients died in a few days, before further investigations had been performed (autopsies were not performed), and 1 patient refused further investigations. Thus, an etiological explanation was found for the obstruction of almost all patients.

Demographics of Major Diagnostic Groups, Investigations Performed in Each Group, and Treatment and Prognosis
 Pancreatic cancerCholangio‐cancerOther cancersPapilla cancersBiliary stricturesGallstone diseaseOther diagnosesPSC
  • The results for age and survival in days are shown as medians with interquartile ranges in parentheses.

  • F, female, M, male.

Total number6944365757185
Age73 (6782)67 (5678)67 (5975)79 (7081)80 (5184)69 (4983)72 (5285)61 (3468)
Sex‐F/M36/3327/1719/173/24/329/289/92/3
Surgery10/6910/441/363/50/721/574/181/5
Alive at follow‐up3/69 (4.3%)2/44 (4.5%)2/36 (5.6%)1/5 (20%)6/7 (86%)46/57 (80.1%)12/18 (66%)4/5 (80%)
Survival (days)142 (58267)166 (80300)31 (1873)257 (130380)510 (455900)558 (424665)412 (103558)570 (319676)
Other Malignancies Causing Both Obstructive Jaundice and Intrahepatic Jaundice Not Classified Elsewhere and Other Causes of Jaundice Not Classified Elsewhere
Type of malignancyNumber of patientsOther cause of OJ not classified elsewhereNumber of patients
Colorectal cancer with liver metastases9Cholangitis4
Liver metastases with unknown primary tumor9Papillary adenoma4
Gastric cancer with liver metastases5Unknown cause4
Small bowel cancer with liver metastases2Choledochal injury after cholecystectomy2
Neuroendocrine tumor with liver metastases2Retroperitoneal fibrosis1
Primary hepatocellular cancer2Mirizzis syndrome1
Esophageal cancer with liver metastases1Chronic pancreatitis1
Renal cancer with liver metastases1Duodenal diverticula1
Lung cancer with liver metastases1  
Tuba uteri cancer with liver metastases1  
Prostate cancer with liver metastases1  
Chronic lymphatic leukemia with liver infiltrates1  
Liver cancer of unknown source1  
Demographics, Liver Test Results, Investigations Undertaken, and Treatment of and Prognosis for patients with a Malignant Form of Obstructive Jaundice and a Nonmalignant Cause of Jaundice
 Malignant obstructionBenign obstruction
  • The results are shown as medians with interquartile ranges in parentheses.

  • P < 0.05;

  • P < 0.01;

  • < 0.001.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (medians, with interquartile range in parentheses). The percentage of patients with abdominal pain at presentation is in parentheses. CT, computerized tomography; MRCP, magnetic resonance cholangio‐pancreatography; ERCP, endoscopic retrograde cholangio‐pancreatography; PTC, percutaneous transhepatic cholangiography.

Total number of patients15487
Female/male85/6944/43
Age72 (6181)69 (4983)
Abdominal pain at presentation53/154 (34%)62/87 (71%)
AST3.3 (2.35.1)3.3 (2.16.4)
ALT3.1 (26)4.3 (2.69.1)
ALP9.9 (4.813.3)5.9 (3.78.5)
Bilirubin13.8 (1020)7.1 (5.79.0)
CT125/154 (81%)47/87 (54%)
MRCP47/154 (30%)27/87 (31%)
ERCP108/154 (70%)67/87 (77%)
PTC59/154 (38%)7/87 (8%)
Surgery24/154 (15.6%)*26/87 (29.9%)
Alive at follow‐up8/154 (5.2%)68/87 (78%)
Figure 1
Proportions of patients in the different diagnosis groups who had abdominal pain at presentation.

Investigations

Investigations carried out to verify the diagnoses of all 241 patients are listed in Table 3. All patients underwent abdominal ultrasound, which was a prerequisite for inclusion in the analysis of patients with dilated biliary ducts. Other diagnostic tools were MRCP, endoscopic retrograde cholangio‐pancreatography (ERCP; as well as therapeutic), and percutaneous transhepatic choangiography (PTC); 12 patients received a diagnostic abdominal laparoscopy, and 1 patient had a laparotomy for diagnostic purposes. CT was more commonly utilized in patients with malignancies, whereas the use of MRCP was similar for patients with malignancies and those without malignancies (Table 3). Median s‐bilirubin level of the patients with malignancies was higher than that of patients without malignancies (Table 3; P < .0001). Among the major etiological groups, s‐bilirubin level was higher in the cholangiocarcinoma group than in the group with pancreatic cancer (Table 4; P < .05), but otherwise no significant differences were observed within the malignant group. However, patients with gallstone disease had significantly lower levels of bilirubin compared with those in the different etiological groups with malignant obstruction (P < .05 for all comparisons; Table 4). Patients with liver metastases had the highest levels of alkaline phosphatase (ALP), followed by patients with cholangiocarcinoma (Table 4). In general, patients with a malignant cause of obstructive jaundice had higher ALP values than those whose OJ had a nonmalignant cause (Table 4). The groups did not differ in aspartate aminotransferase level. However, alanine aminotransferase level of patients with gallstone disease was higher than that of patients with cholangiocarcinoma, P = .009, and of patients with other cancers, P = .02 (Table 4).

Liver Test Results of Patients in the Major Diagnostic Groups
 Pancreatic cancerCholangio‐carcinomaOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (median, with interquartile range in parentheses).

AST3.3 (2.46)3.1 (2.15)3.7 (2.45.1)3.7 (2.64.7)5.6 (2.77.3)3.1 (1.76.7)3.9 (2.46.1)3.3 (3.16.1)
ALT4.4 (2.16.3)2.7 (2.14.1)2.7 (1.43.7)2.6 (2.33.4)4.4 (2.96.9)4.3 (2.610.9)4.4 (2.96.3)2.6 (1.45.7)
ALP8.3 (4.815.6)10.1 (516.6)12.4 (4.419.4)8.1 (4.410.1)7.2 (3.38.9)5.4 (3.37.8)7.1 (4.49.4)10 (513.3)
Bilirubin12.9 (9.517.3)16.7 (11.921.4)13.1 (8.821.2)14.8 (13.416.8)8.6 (7.611.3)6.7 (5.68.1)7.9 (5.211.4)13.8 (12.816.7)

Treatment

Of all 241 patients with obstructive jaundice, 56 (23%) had been operated on, with 1 patient with a cholangiocarcinoma (klatskin tumor) receiving a transplanted liver. Of patients with malignant obstruction, 24 of 154 (15%) underwent an operation, whereas 30% of those with benign obstructions were operated on (Tables 1 and 2). Therapeutic ERCP was used similarly in the malignant and the nonmalignant cases (Table 3).

PTC was used in the vast majority of patients whose obstruction was caused by a malignancy and in only a few of the patients whose obstruction had a benign cause (Table 3).

Prognosis

A total of 165 of the 241 patients (68.5%) died during follow‐up. Mortality was very high among patients with malignant obstructive jaundice, with only 8 of 154 patients (5.2%) alive at the end of follow‐up (Table 3). All these patients had been followed for at least 1 year (mean duration of follow‐up, 535 days). Among those who had survived at least 1 year, 1 patient with cholangiocarcinoma had undergone a liver transplantation, and another 5 patients had been operated on, 3 with pancreatic cancer, 1 with cholangiocarcinoma, 1 with a papilla Vateri cancer, and 1 with carcinoid syndrome with liver metastases. One patient with tuba uteri cancer who had received chemotherapy was also alive. The survival rates of the different etiological groups are shown in Table 1. Of 24 patients undergoing surgery for a malignant condition leading to obstructive jaundice, only 9 (37.5%) survived 1 year. The mortality in the total study group within 3 months of diagnosis was 32% (Table 5). The 3‐month, 6‐month, and 1‐year survival rates for the different etiological groups are given in Table 5. Generally, the patients with benign obstructive jaundice had a good prognosis. A total of 46 of 57 patients (80%) with gallstone disease were alive at the end of follow‐up. Only 3 patients with gallstone disease did not survive for 3 months after jaundice occurred. All these patients were very old, none died while hospitalized for jaundice, and only 1 death could be attributed to gallstone disease (cholangitis and sepsis) 1 month after the initial hospitalization. Figure 2A,B shows the mortality over time among the major etiological groups.

Survival for 3, 6, and 12 Months of Patients in the Different Diagnostic Groups
 Pancreatic cancerCholangio cancerOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • Percentages are in parentheses.

3 months' survival44/69 (63.8%)32/44 (72.7%)6/36 (16.7%)4/5 (80%)7/7 (100%)54/57 (95%)13/16 (81%)5/5 (100%)
6 months' survival28/69 (40.6%)20/44 (45.5%)5/36 (13.9%)3/5 (60%)7/7 (100%)50/57 (88%)11/16 (68%)4/5 (80%)
12 months' survival10/69 (14.5%)9/44 (20.5%)2/36 (5.6%)2/5 (40%)7/7 (100%)47/57 (82%)14/18 (77%)4/5 (80%)
Figure 2
(A) Mortality over time among the major etiological groups. (B) Mortality over time of patients with cancer and without cancer. PC, pancreatic cancer; CC, cholangiocancer; OC, other cancer.

DISCUSSION

Our analysis of the causes of jaundice among unselected patients with a bilirubin level 5.85 mg/dL (100 mol/L) revealed that approximately one third of the cases were a result of obstructive jaundice. Studies published more than 20 years ago are available on the etiology and prognosis of these patients, reflecting the diagnostic techniques and hospital practice at that time.69 Furthermore, more recently published studies report the etiological spectrum of patients with obstructive jaundice in Africa and India.1012 In our study population, 154 of 241 patients (64%) had a malignancy, which is remarkably similar to the 61% and 65% of cases of obstructive jaundice due to malignancy reported in studies published more than 25 years ago from Denmark and Spain, respectively.67, 14

The results of the current study demonstrate the poor prognosis of patients with hepatobiliary malignancy that causes obstructive jaundice. The patients whose OJ was caused by a malignancy had a mortality rate of approximately 95% during the study's rather short follow‐up. Previous studies, mostly from the 1980s, found similarly dismal outcomes,1213 suggesting that the prognosis of these patients has not improved during the last 3 decades. Among patients hospitalized for malignant obstructive jaundice in Denmark in the 1970s and the beginning of the 1980s, 1‐year survival was reported to be 11%.14 Thus, unfortunately, the prognosis of patients presenting with jaundice caused by hepatobiliary cancer obstructing the biliary ducts (or due to liver metastases) does not seem to have improved during the last 3 decades. The most common cause of malignant obstructive jaundice in the current study was pancreatic cancer, which is in agreement what was reported in earlier studies.3, 1115 The poor prognosis of patients with pancreatic cancer is well known, but operative mortality is very low nowadays, and some series have reported 5‐year survival rates in the range of 10%30%.1620 The results of the current study suggest that the prognosis for patients with pancreatic cancer presenting with bilirubin 5.85 (100 mL/L) is worse than the 5‐year survival rates reported in recent studies.1620

In the current study patients with cholangiocarcinoma were almost one third of those with malignant obstructive jaundice, which is a higher proportion than that previously reported in series from Australia (9%), India (14%), and Denmark (17%).13, 11, 14 The increased proportion of patients with cholangiocarcinoma might reflect the recent observations of an increased incidence of cholangiocarcinoma in many countries.2122 Similar to the situation of patients with pancreatic cancer, very few patients with cholangiocancer will survive long term,2325 and as in the current study, the prognosis of these patients presenting with severe jaundice seems even worse. Mortality among our patients with malignancies other than pancreatic cancer and cholangiocancer was also very high, with only 5% surviving, mostly because of liver metastases. This is identical to the 1‐year survival of patients with liver metastases presenting with jaundice in Denmark more than 25 years ago.14 Although our patients might not be directly comparable to those seen in Denmark at that time, the results of the current study do suggest that the prognosis of patients with jaundice resulting from liver metastases has not improved over time, despite the considerable advances in diagnostic procedures during the last 2 or 3 decades. One of the limitations of the study besides its retrospective design is potentially excluding patients who were less sick (those with bilirubin levels below that used as an inclusion criterion), affecting survival rates. Other limitations might be defining biliary obstruction based on the results of ultrasound. However, we found very good correlation between ultrasound evidence of dilated biliary ducts and those who had evidence of biliary obstruction on MRCP and ERCP (data not shown).

However, one seemingly large difference between the current study and the Danish study14 is in the prognosis of patients with gallstone disease. The overall 1‐year survival was similar in the 2 studies, but whereas in the Danish study the deaths of 9 of 105 patients (8.6%) was attributed to their gallstone disease, the death of only 1 of the 57 patients (1.8%) in the current study could be attributed to gallstone disease. The reason for this difference is not easily explained but might have been a result of better diagnostic instruments and/or more commonly used ERCP procedures than were previously available.

Although jaundice resulting from a malignancy in the hepatobiliary tract is said to be painless,35 in our study approximately one third of patients with a malignancy experienced pain at presentation. However, our study confirmed that abdominal pain was significantly more often associated with benign conditions. The limitation of the current study was its retrospective nature. However, information about the occurrence of abdominal pain was available in medical records of all patients. Although we could not analyze the character, location, or nature of the abdominal pain, the attending doctor always asked a patient about whether he or she was experiencing abdominal pain.

We can conclude that the severe jaundice of one third of patients was a result of obstructive jaundice. Most of these cases were also a result of a malignancy, with high bilirubin levels indicating prolonged biliary obstruction. Obstructive jaundice caused by a malignancy carried a very poor prognosis, with approximately 95% mortality during a 1‐ to 2‐year follow‐up period. In the absence of methods to cure a significant number of these patients, good methods of palliation are important challenges in the near future.

Jaundice is an important clinical entity associated with a wide variety of differential diagnoses for which the prognosis differs depending on etiology. Recently, the etiological spectrum of unselected patients with jaundice has been reported.12 Among patients with cholestatic jaundice, abdominal ultrasound remains the primary investigation in order to distinguish extrahepatic biliary obstruction from intrahepatic disease.

Recent studies of patients with jaundice have included a limited number of patients with jaundice due to biliary obstruction and provided no analysis of the clinical characteristics and prognosis of these patients.12 Moreover, the prognosis of unselected patients with severe obstructive jaundice is unclear nowadays. The most common clinical presentation of malignant obstructive jaundice traditionally has been considered silent jaundice.35 However, the clinical features of malignant versus benign causes of jaundice have not been a focus of interest during the last decades, and it is not clear from the literature what proportion of patients with choledocholithiasis and jaundice present with silent jaundice. Studies on the prognosis of patients with jaundice were published more than 20 years ago, prior to major advances in imaging modalities and endoscopic treatment.614 Thus, we aimed to study the clinical features, etiology, and prognosis of patients presenting with obstructive jaundice in the current era of improved imaging and noninvasive treatment.

MATERIAL AND METHODS

Over a 2‐year period from the beginning of 2003 to the end of 2004, all adult patients with s‐bilirubin of 5.85 mg/dL (100 mol/l; reference value < 25 mol/L) were identified at the clinical laboratory serving the Sahlgrenska University Hospital (Gothenburg, Sweden), which analyzed the serum bilirubin of all patients in Gothenburg. Sahlgrenska University Hospital provides hospital services for all inhabitants of the city and comprises 3 hospitals (Sahlgrenska Hospital, stra Hospital, and Mlndal Hospital) that serve as community hospitals as well as a university hospital. The Gothenburg metropolitan area has 600,000 inhabitants.

The inclusion criteria for the study cohort were s‐bilirubin 100 mol/L at any point during the 2‐year period with evidence of dilated biliary ducts on abdominal ultrasound. A retrospective review of medical records was performed to retrieve information on the presence of abdominal pain associated with jaundice, computerized tomography (CT) and/or magnetic resonance cholangio‐pancreatography (MRCP) testing, and s‐AST, s‐ALT, s‐ALP, and bilirubin levels. The liver tests performed at the time that s‐bilirubin peaked during hospitalization were analyzed. Information about whether abdominal pain was associated with jaundice at the time of admission to the hospital, was obtained from medical records. The etiology of and treatment for the biliary obstruction were noted. Furthermore, the prognosis of the patients was analyzed. If a patient was discharged from the hospital, information about whether the patient was alive at the time of follow‐up was obtained from the Swedish National Registration of Inhabitants; if the patient had died outside the hospital, a death certificate was requested from the Cause of Death Register of the Swedish National Board of Health and Welfare. Patients were followed up in July 2005, providing a follow‐up period ranging from 6 months to 2.5 years.

Statistics

To test differences between groups, the Fisher exact test was used for dichotomous variables and the Mann‐Whitney test for continuous variables. All tests were 2‐tailed and were conducted at a 5% significance level. The results are presented as medians and interquartile ranges (IQRs).

RESULTS

Patients

During the study period 749 patients were consecutively admitted to our hospital for severe jaundice with bilirubin 5.85 mg/dL (100 mol/L). Among these patients, a total of 241 (32%) had ultrasound evidence of obstructive jaundice at various levels of the biliary tree. In the total study group, the median age was 71 years (IQR 5981 years), with 129 women and 112 men. The oldest patient was 94 years old and the youngest 18 years. No patient was lost to follow‐up.

Causes

The causes of the obstructive jaundice are shown in Table 1. Among the different types of malignancy causing obstructive jaundice, pancreatic cancer and cholangiocarcinoma were the most common, followed by the other malignancies category (Table 1). As shown in Table 2, a wide variety of other malignancies caused cases of biliary obstruction, although most were a result of metastases from gastrointestinal malignancies. Gallstone disease and biliary stricture were the most common benign causes. Less common causes are shown in Table 2. Patients with malignant versus benign obstructive jaundice were similar in age (Table 3). However, only 10 patients (6.5%) with malignant obstructive jaundice (OJ) were less than 50 years old, whereas 23 patients (26%) with benignly caused OJ were under the age of 50. Among the patients with malignancy, patients with pancreatic cancer were significantly older than those with cholangiocarcinoma (P = .04, Table 1). No other major age differences were observed in the etiological groups. Most patients with gallstone disease presenting with jaundice had experienced abdominal pain in association with jaundice, but the jaundice of 9% of the patients was painless (Fig. 1). This was in contrast with patients whose OJ was caused by different types of malignancies, a minority of whom experienced pain at presentation (Fig. 1). Table 3 shows a comparison of patients with a malignant obstruction and those with a benign obstruction. Abdominal pain associated with jaundice was less prevalent at presentation in patients with malignant obstructive jaundice compared with those with nonmalignant obstructive jaundice (34% vs. 71%; P < .0001; Table 3). In 4 patients, the cause of jaundice could not be determined from chart review. Three of these patients presented late in a generally bad condition; ultrasound showed dilated ducts, but these patients died in a few days, before further investigations had been performed (autopsies were not performed), and 1 patient refused further investigations. Thus, an etiological explanation was found for the obstruction of almost all patients.

Demographics of Major Diagnostic Groups, Investigations Performed in Each Group, and Treatment and Prognosis
 Pancreatic cancerCholangio‐cancerOther cancersPapilla cancersBiliary stricturesGallstone diseaseOther diagnosesPSC
  • The results for age and survival in days are shown as medians with interquartile ranges in parentheses.

  • F, female, M, male.

Total number6944365757185
Age73 (6782)67 (5678)67 (5975)79 (7081)80 (5184)69 (4983)72 (5285)61 (3468)
Sex‐F/M36/3327/1719/173/24/329/289/92/3
Surgery10/6910/441/363/50/721/574/181/5
Alive at follow‐up3/69 (4.3%)2/44 (4.5%)2/36 (5.6%)1/5 (20%)6/7 (86%)46/57 (80.1%)12/18 (66%)4/5 (80%)
Survival (days)142 (58267)166 (80300)31 (1873)257 (130380)510 (455900)558 (424665)412 (103558)570 (319676)
Other Malignancies Causing Both Obstructive Jaundice and Intrahepatic Jaundice Not Classified Elsewhere and Other Causes of Jaundice Not Classified Elsewhere
Type of malignancyNumber of patientsOther cause of OJ not classified elsewhereNumber of patients
Colorectal cancer with liver metastases9Cholangitis4
Liver metastases with unknown primary tumor9Papillary adenoma4
Gastric cancer with liver metastases5Unknown cause4
Small bowel cancer with liver metastases2Choledochal injury after cholecystectomy2
Neuroendocrine tumor with liver metastases2Retroperitoneal fibrosis1
Primary hepatocellular cancer2Mirizzis syndrome1
Esophageal cancer with liver metastases1Chronic pancreatitis1
Renal cancer with liver metastases1Duodenal diverticula1
Lung cancer with liver metastases1  
Tuba uteri cancer with liver metastases1  
Prostate cancer with liver metastases1  
Chronic lymphatic leukemia with liver infiltrates1  
Liver cancer of unknown source1  
Demographics, Liver Test Results, Investigations Undertaken, and Treatment of and Prognosis for patients with a Malignant Form of Obstructive Jaundice and a Nonmalignant Cause of Jaundice
 Malignant obstructionBenign obstruction
  • The results are shown as medians with interquartile ranges in parentheses.

  • P < 0.05;

  • P < 0.01;

  • < 0.001.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (medians, with interquartile range in parentheses). The percentage of patients with abdominal pain at presentation is in parentheses. CT, computerized tomography; MRCP, magnetic resonance cholangio‐pancreatography; ERCP, endoscopic retrograde cholangio‐pancreatography; PTC, percutaneous transhepatic cholangiography.

Total number of patients15487
Female/male85/6944/43
Age72 (6181)69 (4983)
Abdominal pain at presentation53/154 (34%)62/87 (71%)
AST3.3 (2.35.1)3.3 (2.16.4)
ALT3.1 (26)4.3 (2.69.1)
ALP9.9 (4.813.3)5.9 (3.78.5)
Bilirubin13.8 (1020)7.1 (5.79.0)
CT125/154 (81%)47/87 (54%)
MRCP47/154 (30%)27/87 (31%)
ERCP108/154 (70%)67/87 (77%)
PTC59/154 (38%)7/87 (8%)
Surgery24/154 (15.6%)*26/87 (29.9%)
Alive at follow‐up8/154 (5.2%)68/87 (78%)
Figure 1
Proportions of patients in the different diagnosis groups who had abdominal pain at presentation.

Investigations

Investigations carried out to verify the diagnoses of all 241 patients are listed in Table 3. All patients underwent abdominal ultrasound, which was a prerequisite for inclusion in the analysis of patients with dilated biliary ducts. Other diagnostic tools were MRCP, endoscopic retrograde cholangio‐pancreatography (ERCP; as well as therapeutic), and percutaneous transhepatic choangiography (PTC); 12 patients received a diagnostic abdominal laparoscopy, and 1 patient had a laparotomy for diagnostic purposes. CT was more commonly utilized in patients with malignancies, whereas the use of MRCP was similar for patients with malignancies and those without malignancies (Table 3). Median s‐bilirubin level of the patients with malignancies was higher than that of patients without malignancies (Table 3; P < .0001). Among the major etiological groups, s‐bilirubin level was higher in the cholangiocarcinoma group than in the group with pancreatic cancer (Table 4; P < .05), but otherwise no significant differences were observed within the malignant group. However, patients with gallstone disease had significantly lower levels of bilirubin compared with those in the different etiological groups with malignant obstruction (P < .05 for all comparisons; Table 4). Patients with liver metastases had the highest levels of alkaline phosphatase (ALP), followed by patients with cholangiocarcinoma (Table 4). In general, patients with a malignant cause of obstructive jaundice had higher ALP values than those whose OJ had a nonmalignant cause (Table 4). The groups did not differ in aspartate aminotransferase level. However, alanine aminotransferase level of patients with gallstone disease was higher than that of patients with cholangiocarcinoma, P = .009, and of patients with other cancers, P = .02 (Table 4).

Liver Test Results of Patients in the Major Diagnostic Groups
 Pancreatic cancerCholangio‐carcinomaOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase.

  • Liver laboratory values are expressed as multiples of the upper limit of normal (median, with interquartile range in parentheses).

AST3.3 (2.46)3.1 (2.15)3.7 (2.45.1)3.7 (2.64.7)5.6 (2.77.3)3.1 (1.76.7)3.9 (2.46.1)3.3 (3.16.1)
ALT4.4 (2.16.3)2.7 (2.14.1)2.7 (1.43.7)2.6 (2.33.4)4.4 (2.96.9)4.3 (2.610.9)4.4 (2.96.3)2.6 (1.45.7)
ALP8.3 (4.815.6)10.1 (516.6)12.4 (4.419.4)8.1 (4.410.1)7.2 (3.38.9)5.4 (3.37.8)7.1 (4.49.4)10 (513.3)
Bilirubin12.9 (9.517.3)16.7 (11.921.4)13.1 (8.821.2)14.8 (13.416.8)8.6 (7.611.3)6.7 (5.68.1)7.9 (5.211.4)13.8 (12.816.7)

Treatment

Of all 241 patients with obstructive jaundice, 56 (23%) had been operated on, with 1 patient with a cholangiocarcinoma (klatskin tumor) receiving a transplanted liver. Of patients with malignant obstruction, 24 of 154 (15%) underwent an operation, whereas 30% of those with benign obstructions were operated on (Tables 1 and 2). Therapeutic ERCP was used similarly in the malignant and the nonmalignant cases (Table 3).

PTC was used in the vast majority of patients whose obstruction was caused by a malignancy and in only a few of the patients whose obstruction had a benign cause (Table 3).

Prognosis

A total of 165 of the 241 patients (68.5%) died during follow‐up. Mortality was very high among patients with malignant obstructive jaundice, with only 8 of 154 patients (5.2%) alive at the end of follow‐up (Table 3). All these patients had been followed for at least 1 year (mean duration of follow‐up, 535 days). Among those who had survived at least 1 year, 1 patient with cholangiocarcinoma had undergone a liver transplantation, and another 5 patients had been operated on, 3 with pancreatic cancer, 1 with cholangiocarcinoma, 1 with a papilla Vateri cancer, and 1 with carcinoid syndrome with liver metastases. One patient with tuba uteri cancer who had received chemotherapy was also alive. The survival rates of the different etiological groups are shown in Table 1. Of 24 patients undergoing surgery for a malignant condition leading to obstructive jaundice, only 9 (37.5%) survived 1 year. The mortality in the total study group within 3 months of diagnosis was 32% (Table 5). The 3‐month, 6‐month, and 1‐year survival rates for the different etiological groups are given in Table 5. Generally, the patients with benign obstructive jaundice had a good prognosis. A total of 46 of 57 patients (80%) with gallstone disease were alive at the end of follow‐up. Only 3 patients with gallstone disease did not survive for 3 months after jaundice occurred. All these patients were very old, none died while hospitalized for jaundice, and only 1 death could be attributed to gallstone disease (cholangitis and sepsis) 1 month after the initial hospitalization. Figure 2A,B shows the mortality over time among the major etiological groups.

Survival for 3, 6, and 12 Months of Patients in the Different Diagnostic Groups
 Pancreatic cancerCholangio cancerOther cancersPapilla cancerBiliary stricturesGallstone diseaseOther diagnosesPSC
  • Percentages are in parentheses.

3 months' survival44/69 (63.8%)32/44 (72.7%)6/36 (16.7%)4/5 (80%)7/7 (100%)54/57 (95%)13/16 (81%)5/5 (100%)
6 months' survival28/69 (40.6%)20/44 (45.5%)5/36 (13.9%)3/5 (60%)7/7 (100%)50/57 (88%)11/16 (68%)4/5 (80%)
12 months' survival10/69 (14.5%)9/44 (20.5%)2/36 (5.6%)2/5 (40%)7/7 (100%)47/57 (82%)14/18 (77%)4/5 (80%)
Figure 2
(A) Mortality over time among the major etiological groups. (B) Mortality over time of patients with cancer and without cancer. PC, pancreatic cancer; CC, cholangiocancer; OC, other cancer.

DISCUSSION

Our analysis of the causes of jaundice among unselected patients with a bilirubin level 5.85 mg/dL (100 mol/L) revealed that approximately one third of the cases were a result of obstructive jaundice. Studies published more than 20 years ago are available on the etiology and prognosis of these patients, reflecting the diagnostic techniques and hospital practice at that time.69 Furthermore, more recently published studies report the etiological spectrum of patients with obstructive jaundice in Africa and India.1012 In our study population, 154 of 241 patients (64%) had a malignancy, which is remarkably similar to the 61% and 65% of cases of obstructive jaundice due to malignancy reported in studies published more than 25 years ago from Denmark and Spain, respectively.67, 14

The results of the current study demonstrate the poor prognosis of patients with hepatobiliary malignancy that causes obstructive jaundice. The patients whose OJ was caused by a malignancy had a mortality rate of approximately 95% during the study's rather short follow‐up. Previous studies, mostly from the 1980s, found similarly dismal outcomes,1213 suggesting that the prognosis of these patients has not improved during the last 3 decades. Among patients hospitalized for malignant obstructive jaundice in Denmark in the 1970s and the beginning of the 1980s, 1‐year survival was reported to be 11%.14 Thus, unfortunately, the prognosis of patients presenting with jaundice caused by hepatobiliary cancer obstructing the biliary ducts (or due to liver metastases) does not seem to have improved during the last 3 decades. The most common cause of malignant obstructive jaundice in the current study was pancreatic cancer, which is in agreement what was reported in earlier studies.3, 1115 The poor prognosis of patients with pancreatic cancer is well known, but operative mortality is very low nowadays, and some series have reported 5‐year survival rates in the range of 10%30%.1620 The results of the current study suggest that the prognosis for patients with pancreatic cancer presenting with bilirubin 5.85 (100 mL/L) is worse than the 5‐year survival rates reported in recent studies.1620

In the current study patients with cholangiocarcinoma were almost one third of those with malignant obstructive jaundice, which is a higher proportion than that previously reported in series from Australia (9%), India (14%), and Denmark (17%).13, 11, 14 The increased proportion of patients with cholangiocarcinoma might reflect the recent observations of an increased incidence of cholangiocarcinoma in many countries.2122 Similar to the situation of patients with pancreatic cancer, very few patients with cholangiocancer will survive long term,2325 and as in the current study, the prognosis of these patients presenting with severe jaundice seems even worse. Mortality among our patients with malignancies other than pancreatic cancer and cholangiocancer was also very high, with only 5% surviving, mostly because of liver metastases. This is identical to the 1‐year survival of patients with liver metastases presenting with jaundice in Denmark more than 25 years ago.14 Although our patients might not be directly comparable to those seen in Denmark at that time, the results of the current study do suggest that the prognosis of patients with jaundice resulting from liver metastases has not improved over time, despite the considerable advances in diagnostic procedures during the last 2 or 3 decades. One of the limitations of the study besides its retrospective design is potentially excluding patients who were less sick (those with bilirubin levels below that used as an inclusion criterion), affecting survival rates. Other limitations might be defining biliary obstruction based on the results of ultrasound. However, we found very good correlation between ultrasound evidence of dilated biliary ducts and those who had evidence of biliary obstruction on MRCP and ERCP (data not shown).

However, one seemingly large difference between the current study and the Danish study14 is in the prognosis of patients with gallstone disease. The overall 1‐year survival was similar in the 2 studies, but whereas in the Danish study the deaths of 9 of 105 patients (8.6%) was attributed to their gallstone disease, the death of only 1 of the 57 patients (1.8%) in the current study could be attributed to gallstone disease. The reason for this difference is not easily explained but might have been a result of better diagnostic instruments and/or more commonly used ERCP procedures than were previously available.

Although jaundice resulting from a malignancy in the hepatobiliary tract is said to be painless,35 in our study approximately one third of patients with a malignancy experienced pain at presentation. However, our study confirmed that abdominal pain was significantly more often associated with benign conditions. The limitation of the current study was its retrospective nature. However, information about the occurrence of abdominal pain was available in medical records of all patients. Although we could not analyze the character, location, or nature of the abdominal pain, the attending doctor always asked a patient about whether he or she was experiencing abdominal pain.

We can conclude that the severe jaundice of one third of patients was a result of obstructive jaundice. Most of these cases were also a result of a malignancy, with high bilirubin levels indicating prolonged biliary obstruction. Obstructive jaundice caused by a malignancy carried a very poor prognosis, with approximately 95% mortality during a 1‐ to 2‐year follow‐up period. In the absence of methods to cure a significant number of these patients, good methods of palliation are important challenges in the near future.

References
  1. Whitehead MW,Hainsworth I,Kingham JG.The causes of obvious jaundice in South West Wales: perceptions versus reality.Gut.2001;48:409413.
  2. Björnsson E,Ismael S,Nejdet S,Kilander A.Severe jaundice in Sweden in the new millennium: causes, investigations, treatment and prognosis.Scand J Gastroenterol.2003;38:8694.
  3. Lidofsky SD.Jaundice. In:O'Grady JG,Lake JR,Howdle PD, eds.Comprehensive Clinical Hepatology.London UK:Mosby;2000:5.15.17.
  4. Clain A.Examination of an adolescent or an adult patient with jaundice. Hamilton Baileys Demonstrations of Clinical Skills in Clinical Surgery.Bristol, UK:John Wright 1967:271273.
  5. Sherlock S,Dooley J.Jaundice. In:Sherlock S,Dooley J, eds.Diseases of the Liver and Biliary Tract.London, UK:Blackwell;1993:19992013.
  6. Burcharth F,Christiansen L,Efsen F,Nielbo N,Stage P.Percutaneous transhepatic cholangiography in diagnostic evaluation of 160 jaundiced patients. Results of an improved technic.Am J Surg.1977;133:559561.
  7. Pedrosa CS,Casanova R,Lezana AH,Fernandez MC.Computed tomography in obstructive jaundice. Part II: The cause of obstruction.Radiology.1981;139:635645.
  8. Thomas MJ,Pellegrini CA,Way LW.Usefulness of diagnostic tests for biliary obstruction.Am J Surg.1982;144:102108.
  9. Honickman SP,Mueller PR,Wittenberg J, et al.Ultrasound in obstructive jaundice: prospective evaluation of site and cause.Radiology.1983;147:511515.
  10. Di Bisceglie AM,Oettle GJ,Hodkinson HJ,Segal I.Obstructive jaundice in the South African black population.J Clin Gastroenterol.1986;8:538541.
  11. Sharma MP,Ahuja V.Aetiological spectrum of obstructive jaundice and diagnostic ability of ultrasonography: a clinician's perspective.Trop Gastroenterol.1999;20:167169.
  12. Gillen P,Peel AL.Failure to improve survival by improved diagnostic techniques in patients with malignant jaundice.Br J Surg.1986;73:631633.
  13. Little JM,Cunningham P.Obstructive jaundice in a referral unit: surgical practice and risk factors.Aust N Z J Surg.1985;55:427432.
  14. Malchow‐Moller A,Matzen P,Bjerregaard B, et al.Causes and characteristics of 500 consecutive cases of jaundice.Scand J Gastroenterol.1981;16:16.
  15. Cotton PB.Management of malignant bile duct obstruction.J Gastroenterol Hepatol.1990;5(Suppl 1):6377.
  16. Neoptolemos JP,Stocken DD,Friess H, et al.A randomized trial of chemoradiotherapy and chemotherapy after resection of pancreatic cancer.N Engl J Med.2004;350:12001210.
  17. Lim JE,Chien MW,Earle CC.Prognostic factors following curative resection for pancreatic adenocarcinoma: a population‐based, linked database analysis of 396 patients.Ann Surg.2003;237:7485.
  18. Gudjonsson B.Critical look at resection for pancreatic cancer.Lancet.1996;348:1676.
  19. Faivre J,Forman D,Esteve J,Gatta G.Survival of patients with primary liver cancer, pancreatic cancer and biliary tract cancer in Europe.EUROCARE Working Group.Eur J Cancer.1998;34:21842190.
  20. Li D,Xie K,Wolff R,Abbruzzese JL.Pancreatic cancer.Lancet.2004;363:10491057.
  21. Taylor‐Robinson SD,Toledano MB,Arora S, et al.Increase in mortality rates from intrahepatic cholangiocarcinoma in England and Wales 1968–1998.Gut.2001;48:816820.
  22. Shaib YH,Davila JA,McGlynn K,El‐Serag HB.Rising incidence of intrahepatic cholangiocarcinoma in the United States: a true increase?J Hepatol.2004;40:472477.
  23. Jarnagin WR,Shoup M.Surgical management of cholangiocarcinoma.Semin Liver Dis.2004;24:189199.
  24. Nakeeb A,Tran KQ,Black MJ, et al.Improved survival in resected biliary malignancies.Surgery.2002;132:555563.
  25. Jarnagin WR,Burke E,Powers C,Fong Y,Blumgart LH.Intrahepatic biliary enteric bypass provides effective palliation in selected patients with malignant obstruction at the hepatic duct confluence.Am J Surg.1998;175:453460.
References
  1. Whitehead MW,Hainsworth I,Kingham JG.The causes of obvious jaundice in South West Wales: perceptions versus reality.Gut.2001;48:409413.
  2. Björnsson E,Ismael S,Nejdet S,Kilander A.Severe jaundice in Sweden in the new millennium: causes, investigations, treatment and prognosis.Scand J Gastroenterol.2003;38:8694.
  3. Lidofsky SD.Jaundice. In:O'Grady JG,Lake JR,Howdle PD, eds.Comprehensive Clinical Hepatology.London UK:Mosby;2000:5.15.17.
  4. Clain A.Examination of an adolescent or an adult patient with jaundice. Hamilton Baileys Demonstrations of Clinical Skills in Clinical Surgery.Bristol, UK:John Wright 1967:271273.
  5. Sherlock S,Dooley J.Jaundice. In:Sherlock S,Dooley J, eds.Diseases of the Liver and Biliary Tract.London, UK:Blackwell;1993:19992013.
  6. Burcharth F,Christiansen L,Efsen F,Nielbo N,Stage P.Percutaneous transhepatic cholangiography in diagnostic evaluation of 160 jaundiced patients. Results of an improved technic.Am J Surg.1977;133:559561.
  7. Pedrosa CS,Casanova R,Lezana AH,Fernandez MC.Computed tomography in obstructive jaundice. Part II: The cause of obstruction.Radiology.1981;139:635645.
  8. Thomas MJ,Pellegrini CA,Way LW.Usefulness of diagnostic tests for biliary obstruction.Am J Surg.1982;144:102108.
  9. Honickman SP,Mueller PR,Wittenberg J, et al.Ultrasound in obstructive jaundice: prospective evaluation of site and cause.Radiology.1983;147:511515.
  10. Di Bisceglie AM,Oettle GJ,Hodkinson HJ,Segal I.Obstructive jaundice in the South African black population.J Clin Gastroenterol.1986;8:538541.
  11. Sharma MP,Ahuja V.Aetiological spectrum of obstructive jaundice and diagnostic ability of ultrasonography: a clinician's perspective.Trop Gastroenterol.1999;20:167169.
  12. Gillen P,Peel AL.Failure to improve survival by improved diagnostic techniques in patients with malignant jaundice.Br J Surg.1986;73:631633.
  13. Little JM,Cunningham P.Obstructive jaundice in a referral unit: surgical practice and risk factors.Aust N Z J Surg.1985;55:427432.
  14. Malchow‐Moller A,Matzen P,Bjerregaard B, et al.Causes and characteristics of 500 consecutive cases of jaundice.Scand J Gastroenterol.1981;16:16.
  15. Cotton PB.Management of malignant bile duct obstruction.J Gastroenterol Hepatol.1990;5(Suppl 1):6377.
  16. Neoptolemos JP,Stocken DD,Friess H, et al.A randomized trial of chemoradiotherapy and chemotherapy after resection of pancreatic cancer.N Engl J Med.2004;350:12001210.
  17. Lim JE,Chien MW,Earle CC.Prognostic factors following curative resection for pancreatic adenocarcinoma: a population‐based, linked database analysis of 396 patients.Ann Surg.2003;237:7485.
  18. Gudjonsson B.Critical look at resection for pancreatic cancer.Lancet.1996;348:1676.
  19. Faivre J,Forman D,Esteve J,Gatta G.Survival of patients with primary liver cancer, pancreatic cancer and biliary tract cancer in Europe.EUROCARE Working Group.Eur J Cancer.1998;34:21842190.
  20. Li D,Xie K,Wolff R,Abbruzzese JL.Pancreatic cancer.Lancet.2004;363:10491057.
  21. Taylor‐Robinson SD,Toledano MB,Arora S, et al.Increase in mortality rates from intrahepatic cholangiocarcinoma in England and Wales 1968–1998.Gut.2001;48:816820.
  22. Shaib YH,Davila JA,McGlynn K,El‐Serag HB.Rising incidence of intrahepatic cholangiocarcinoma in the United States: a true increase?J Hepatol.2004;40:472477.
  23. Jarnagin WR,Shoup M.Surgical management of cholangiocarcinoma.Semin Liver Dis.2004;24:189199.
  24. Nakeeb A,Tran KQ,Black MJ, et al.Improved survival in resected biliary malignancies.Surgery.2002;132:555563.
  25. Jarnagin WR,Burke E,Powers C,Fong Y,Blumgart LH.Intrahepatic biliary enteric bypass provides effective palliation in selected patients with malignant obstruction at the hepatic duct confluence.Am J Surg.1998;175:453460.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
117-123
Page Number
117-123
Article Type
Display Headline
Fate of patients with obstructive jaundice
Display Headline
Fate of patients with obstructive jaundice
Legacy Keywords
jaundice‐carcinoma, gallstones, abdominal pain, prognosis
Legacy Keywords
jaundice‐carcinoma, gallstones, abdominal pain, prognosis
Sections
Article Source

Copyright © 2008 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Department of Internal Medicine, Sahlgrenska University Hospital, SE‐413 45 Gothenburg, Sweden
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Article PDF Media

Hospital Mortality of Schizophrenics

Article Type
Changed
Sun, 05/28/2017 - 22:19
Display Headline
Acute care hospital mortality of schizophrenic patients

Previous studies have found that the total mortality of schizophrenic patients was higher than that of the general population.14 The all‐cause mortality for schizophrenic patients was 2 to 4 times that of the general population.57 Further, not only was the mortality of schizophrenic patients from suicide and traumatic causes higher than that of the general population, but mortality from natural causes was higher as well.8, 9 Of the specific causes of death of schizophrenic patients, suicide was the most important.10 In one study, suicidal mortality was approximately 20 times that of the general population.1 For natural causes, the most common cause of death was diseases of the circulatory system, followed by diseases of the respiratory system, the digestive system, and malignant neoplasm.2, 11 Overall, schizophrenic patients had a life expectancy about 20% shorter than that of the general population.1

However, few studies have investigated mortality among schizophrenic patients who were admitted to acute care hospitals. Studies involving large samples of inpatients with schizophrenia in general (nonpsychiatric) hospitals have also been scarce. The specific causes of death of hospitalized schizophrenic patients have not been investigated thoroughly. In addition, little is known about risk factors associated with the mortality of schizophrenic patients during acute care hospitalization. In this study, we analyzed hospital mortality of schizophrenic patients admitted to an acute care community teaching hospital and compared mortality between schizophrenic and nonschizophrenic patients. Our mortality data included patients presenting with suicidal attempts who died during their admission. We also determined significant factors associated with this increased mortality and the specific causes of death of these patients.

METHODS

Study Patients

We studied all patients admitted to Okinawa Chubu Hospital from January 1, 1987, to December 31, 2004. Okinawa Chubu is a community teaching hospital that provides primary to tertiary care to a population of approximately 400,000 in Okinawa, Japan. Nearly all patients admitted during the study period were Japanese (more than 99.5%).

We identified all schizophrenic patients through the computerized inpatient registry. This registry includes the hospital discharge summary electronic database, which is updated and reviewed by certified hospital record technicians using the ICD‐9 coding scheme (International Classification of Diseases, 9th Revision, and Clinical Modification). The diagnosis of schizophrenia was documented by staff psychiatrists, who provided basic psychiatric care for these patients in inpatient or outpatient settings. The study was approved by the Institutional Review Board of Okinawa Chubu Hospital.

Data Collection

We obtained basic demographic data on all patients admitted during the study period using the computerized inpatient registry. Data were extracted on demographics, discharge outcome (survival or nonsurvival), route of admission, direct transfer from psychiatric hospitals, admitting department, intensive care unit admission, liaison psychiatrist consultation, length of hospital stay (days), and diagnostic classifications based on the ICD‐9. Routes of admission included the emergency department (ED) and outpatient clinic. From the computerized record, we also determined causes of death of schizophrenic as well as nonschizophrenic patients. We performed a manual chart review to determine specific causes of death of schizophrenic patients because the administrative data included the ICD‐9 coding scheme for admitting diagnosis but did not include information on specific causes of death.

Statistical Analysis

We obtained the standardized mortality ratio of schizophrenic patients compared with general patient population during each admission year and calculated the 95% confidence interval (95% CI) using sex‐stratified 5‐year bands and the exact Poisson distribution method. We also analyzed risk factors associated with hospital mortality. In unadjusted logistic regression analyses, we calculated the odds ratios (ORs) and 95% CIs of the demographic and clinical variables for hospital mortality among all schizophrenic patients. We then performed multivariable‐adjusted logistic regression analysis to identify significant risk factors associated with increased hospital mortality, adjusted for demographic and clinical variables. A 2‐sided P value < .05 was considered statistically significant. All statistical analyses were performed using Stata Software Version 8.2 (StataCorp LP, College Station, TX).

RESULTS

We identified a total of 189,049 general nonschizophrenic patients admitted to Okinawa Chubu Hospital during the 18‐year period (Table 1). Of these, 7528 patients died during hospitalization, with an overall hospital mortality rate of 4.0% (95% CI, 3.9%4.1%). There were 55 deaths among 1108 schizophrenic patients admitted to Okinawa Chubu Hospital during the same period. Schizophrenic patients had an overall hospital mortality rate of 5.0% (95% CI, 3.8%6.4%). The hospital mortality rate was 4.4% (95% CI, 2.9%6.5%) for schizophrenic women and 5.5% (95% CI, 3.8%7.7%) for schizophrenic men.

Clinical Characteristics of Schizophrenic and Non‐schizophrenic Patients
Clinical characteristicSchizophrenics n = 1108Non‐schizophrenics n = 189049p‐value**
  • *Malignant neoplasms are categorized together rather than included in individual organ systems.

  • p‐values are calculated using chi‐square test for proportions and t‐test for continuous variables

  • SD=standard deviation; ED=emergency department; N/A=data not available

Age, mean (SD)48.7 (14.2)40.0 (28.8)<0.001
Women, n (%)543 (49.0)101218 (53.5)0.0026
Transferred from psychiatric hospital, n (%)254 (22.9)N/A 
Admission through ED, n (%)853 (77.0)111109 (58.8)<0.001
Admitted department, n (%)   
Internal medicine643 (58.0)65657 (34.7) 
General surgery222 (20.0)43036 (22.8) 
Other departments243 (21.9)80356 (42.5) 
Intensive care unit admission, n (%)157 (14.2)9900 (5.2)<0.001
Liaison psychiatrist consultation, n (%)239 (21.6)N/A 
Length of hospital stay (days), mean (SD)25.2 (44.1)18.0 (42.1)<0.001
Admission diagnosis, n (%)   
Infectious diseases without organ involvement13 (1.2)8009 (4.2) 
Malignant neoplasms92 (8.3)18481 (9.8) 
Endocrine, nutritional and metabolic diseases63 (5.7)3389 (1.8) 
Hematologic diseases11 (1.0)1364 (0.7) 
Mental diseases except schizophrenia32 (2.9)673 (0.4) 
Diseases of the nervous system28 (2.5)8433 (4.5) 
Diseases of the circulatory system108 (9.8)23163 (12.3) 
Diseases of the respiratory system133 (12.0)31212 (16.5) 
Diseases of the digestive system120 (10.8)15570 (8.2) 
Diseases of the genitourinary system44 (4.0)13816 (7.3) 
Complications of pregnancy46 (4.2)17132 (9.1) 
Diseases of the skin23 (2.1)2582 (1.4) 
Diseases of the musculoskeletal system20 (1.8)4221 (2.2) 
Congenital anomalies1 (0.1)3496 (1.8) 
Complications in the perinatal period1 (0.1)4178 (2.2) 
Ill‐defined conditions40 (3.6)4677 (2.5) 
Injury and poisoning190 (17.1)16083 (8.5) 
Social reasons5 (0.5)66 (0.0) 
Indeterminate138 (12.5)12504 (6.6) 

Comparing the schizophrenic patients and general patients admitted to Okinawa Chubu Hospital during the same period showed no significant differences in acute hospital mortality, with an overall standardized mortality ratio of 1.294 (95% CI, 0.9751.684) based on sex‐stratified 5‐year bands using the exact Poisson distribution method. However, there were no deaths among schizophrenics in 2004, which we considered an outlier. Thus, when excluding data on mortality in 2004 from the analysis, we obtained a significant standardized mortality ratio of 1.421 (95% CI, 1.0901.884) for the schizophrenic patients.

Table 1 also shows the clinical characteristics of schizophrenic and nonschizophrenic patients admitted to the hospital. Admissions of schizophrenic patients showed that 643 patients (58%) were admitted to the department of internal medicine, 222 patients (20%) to the department of surgery, and 243 patients (22%) to other departments. The most common admission diagnoses of schizophrenics were: 190 patients (17%) diagnosed with injury and poisoning, 133 (12%) with diseases of the respiratory system, and 120 (11%) with diseases of the digestive system. Patients with an admitting diagnosis of injury and poisoning included those who had attempted suicide, although the exact number of patients with suicidal tendencies was unclear in this registry data. Comparison of the clinical characteristics of schizophrenic and nonschizophrenic patients indicated that schizophrenics were more likely to be older, have a longer hospital stay, be male, be admitted through the emergency department, and be admitted to the intensive care unit.

Table 2 presents the specific causes of death of hospitalized schizophrenic and nonschizophrenic patients based on ICD‐9 coding. Forty‐five schizophrenic patients (81.8%; 95% CI, 69.1%90.9%) died from natural causes (all deaths excluding injury and poisoning). The most frequent of all causes of death (>2 total cases) were suicide (n = 8; 14.5%), malignant lymphoma or leukemia (6; 10.9%), stroke (5; 9.0%), and sepsis (4; 7.3%). Suicide was the cause of 14.5% (95% CI, 6.5%26.7%) of all deaths of schizophrenic patients. The initial hospital presentations of patients with schizophrenia whose suicide attempts were successful included burns (3), brain injury (1), drug overdose (1), organophosphate pesticide ingestion (1), hanging (1), and drowning (1). Although 2 of the patients had attempted suicide while hospitalized at a psychiatric hospital, we did not identify any patients who succeeded in killing themselves while hospitalized at the acute care general hospital. There were 2 deaths of schizophrenic patients with neuroleptic malignant syndrome in the study period. Nonschizophrenic patients who died from injury and poisoning (n = 407; 5.4%) included patients who had committed suicide, although the exact number of nonschizophrenic patients were successful suicides was unclear in these registry data.

Leading Causes of Hospital Mortality in Schizophrenic and Non‐schizophrenic Patients
Schizophrenic patientsNon‐schizophrenic patients
RankCauseNo. (%)RankCauseNo. (%)
  • *Specific Causes are shown in schizophrenic patients and ICD‐9 classification is used in non‐schizophrenic patients.

  • **Other causes include all causes with single case of hospital mortality in schizophrenic patients

1Suicide8 (14.5)1Malignant neoplasms2646 (35.1)
2Malignant lymphoma or leukemia6 (10.9)2Diseases of the circulatory system1769 (23.5)
3Stroke5 (9.0)3Diseases of the respiratory system787 (10.5)
4Sepsis4 (7.3)4Diseases of the digestive system427 (5.7)
5Lung cancer2 (3.6)5Injury and poisoning407 (5.4)
6Acute myocardial infarction2 (3.6)6Sepsis262 (3.5)
7Pneumonia2 (3.6)7Diseases of the genitourinary system150 (2.0)
8Uterine cancer2 (3.6)8Diseases of the nervous system119 (1.6)
9Neuroleptic malignant syndrome2 (3.6)9Endocrine, nutritional, and metabolic diseases86 (1.1)
10Other causes22 (40.0)10Others875 (11.6)
 Total55 (100) Total7528 (100)

Table 3 shows the logistic regression analyses for variables associated with acute hospital mortality of schizophrenic patients. In unadjusted analysis, the significant variables associated with the increased mortality included malignant neoplasm, diseases of the circulatory system, and older age. There was no significant difference in mortality between female and male schizophrenic patients. Unadjusted analysis showed that the mortality of schizophrenic patients directly transferred from a psychiatric hospital was not increased.

Risk Factors Associated with Hospital Mortality among Schizophrenic Patients
Clinical characteristicUnadjusted analysis odds ratio (95% CI)Multivariable analysis odds ratio (95% CI)
  • *Logistic regression analyses are used for each of the clinical characteristics.

  • **Multivariable‐adjusted logistic regression is used including all variables analyzed in the unadjusted analyses.

  • ED=emergency department; CI=confidence interval.

Malignant neoplasms5.83 (3.14 10.83)12.93 (5.67 29.51)
Admission through ED1.29 (0.62 2.68)3.30 (1.33 8.20)
Diseases of the circulatory system2.17 (1.06 4.43)2.63 (1.20 5.77)
Intensive care unit admission1.37 (0.68 2.78)1.43 (0.65 3.11)
Male gender1.26 (0.73 2.17)1.39 (0.77 2.50)
Older age1.02 (1.00 1.04)1.01 (0.99 1.03)
Longer hospital stay1.00 (0.99 1.01)1.00 (0.99 1.01)
Liaison psychiatrist consultation0.43 (0.18 1.02)0.45 (0.18 1.11)
Transferred from psychiatric hospital0.48 (0.21 1.07)0.37 (0.16 0.87)

In multivariable‐adjusted analysis (Table 3), the significant variables associated with increased mortality included malignant neoplasm (OR 12.93; 95% CI, 5.6729.51), diseases of the circulatory system (OR 2.63; 95% CI, 1.205.77), and admission through an emergency department (OR 3.30; 95% CI, 1.338.20). Further, a significant variable associated with decreased mortality was direct transfer from a psychiatric hospital (OR 0.37; 95% CI, 0.160.87). Consultation with a liaison psychiatrist in our hospital was not associated with decreased mortality.

DISCUSSION

The results of our study suggest that schizophrenic and nonschizophrenic patients were admitted with similar levels of medical pathology to an acute care hospital and that they responded comparably to inpatient medical care. The crude hospital mortality rate of schizophrenic patients admitted to our acute care hospital in Japan was 5.0%, whereas the crude mortality rate of nonschizophrenic patients during the same period was 4.0%. There was a nearly significant trend toward an increase in the overall standardized mortality ratio of schizophrenic patients compared with nonschizophrenic patients. Significant risk factors for the increased mortality of the schizophrenic patients were malignant neoplasm, cardiovascular disease, admission through an emergency department, and not transferred directly from a psychiatric hospital.

Although the overall standardized mortality ratio between schizophrenic and nonschizophrenic patients was not statistically significant in this study population, our reanalysis excluding the probable outlier data for 2004 did show a significant increase in the mortality of schizophrenic patients. Previous community‐based cohort studies, including a Japanese study, have consistently shown that the mortality of patients with schizophrenia was higher than that of the general population.12, 13 A meta‐analysis also suggested that schizophrenic patients had a significantly higher mortality from suicide and traumatic death as well as natural causes.14 In a recent study in Sweden, natural cause of death was found to be the main cause of excess deaths.15 Natural causes were also likely to be important in our study, because deaths from natural causes were 82% of all deaths of schizophrenic patients in settings of acute care hospitalization in Okinawa, Japan.

Suicide was the most important cause of death among our reported schizophrenic patients (14.5% of all deaths). In another survey, suicide was also the most frequent cause of death (36%).16 We may need improved and vigilant suicide prevention programs and better control of the psychiatric symptoms of these patients. In addition, there may be subgroups of schizophrenic patients at higher risk for suicide who should be targeted for suicide prevention. For instance, previous studies have suggested that the need for psychosedative medication at discharge from a psychiatric hospital and multiple previous hospitalizations increased the risk of suicide.17, 18 Suicide risk may also be increased in the first year after discharge from a psychiatric hospital.10, 17, 18

Our study showed that malignant neoplasm and cardiovascular disease were significantly associated with increased hospital mortality of schizophrenic patients, although malignant lymphoma/leukemia was the most frequent specific cause of death from malignant neoplasm. One previous study showed that fatal smoking‐related diseases were more prominent in schizophrenic patients than in the general population.19, 20 Attention to designing health educational programs specifically for schizophrenic patients, including healthy diet, smoking cessation, and physical exercise may be necessary. Smoking cessation may be important because a high percentage of schizophrenic patients in Japan are smokers.13

In our study survival of patients coming from psychiatric hospitals was greater than that of those coming from the community. In contrast, a study in Italy suggested that longer psychiatric hospitalization and chronic custodial care at psychiatric hospitals were risk factors for death of schizophrenic patients.11 The Japanese psychiatric management system is usually based on a model in which half the schizophrenic patients are managed in psychiatric hospitals and half are managed in community outpatient psychiatric clinics. Schizophrenic patients who are followed as outpatients may not receive adequate preventive care for common medical illnesses in Japan. Psychiatric hospitalization may provide an opportunity for preventive medicine for these patients.

The suicide rate of 14.5% among all causes of death suggests the need to focus on suicide prevention in schizophrenic patients. Prevention efforts should focus on suicidal tendencies, smoking, and other cardiovascular risk factors. Because most schizophrenic patients are followed regularly by practicing psychiatrists on a long‐term basis, we encourage practicing psychiatrists to use preventive health programs as a regular part of their treatment plans.21 However, we need to recognize that the psychiatric conditions could limit their ability to communicate symptoms of comorbid conditions. In addition, schizophrenic patients sometimes even refuse to undergo treatment for any illness they may have. These barriers that make it difficult to provide preventive care may be challenging issues for health care providers of psychiatric services.

Early recognition of comorbid medical conditions and the subsequent referral to acute care hospitals in a timely manner may be necessary for the improvement of care to reduce the mortality of schizophrenic patients. One review article suggested that schizophrenic patients suffered from more comorbid medical illnesses, which were largely undiagnosed and untreated and which may cause or exacerbate psychiatric symptoms.22 However, there may be multiple barriers to optimal primary medical care for these patients. In patients with schizophrenia, atypical presentation may be common; schizophrenic patients may be less symptomatic for localized symptoms and signs.23 There may be system‐based and politically based disparities between psychiatric hospitals and general hospitals in the treatment of schizophrenic patients depending on the country and region.22 Both political advocacy and development of primary care programs may be instituted to efficiently meet the health needs of these patients.

We did not find any significant differences in hospital mortality between patients with liaison psychiatrist consultation and those without. Liaison psychiatrists at our hospital received consultations from inpatient medical care teams and provided advice to 20% of admitted schizophrenic patients. Although their advice appears to be useful for controlling psychiatric symptoms, their consultations may not be significantly important for lowering hospital mortality.

Our study conducted in Japan may have implications for physicians working as general internists, especially hospitalists, in other countries. This may be the first study to comprehensively assess acute hospital care among schizophrenic patients. We determined common causes of and several risk factors associated with acute care mortality. These findings may help to identify schizophrenic patients at risk of dying when caring for these patients in acute care hospitals. In addition, the importance of preventive programs focusing on suicide would also be applicable to other countries.

We interpreted our results according to whether they are clinically significant. First, we performed the study at a single institution in Okinawa, Japan. Thus, our findings would require external confirmation for their generalizability to other acute care hospital settings. Second, different systems of health care in different countries may influence not only overall mortality but also hospital mortality. Comparative studies of hospital mortality at acute care general hospitals in different countries would be helpful. Third, we analyzed inpatient hospital mortality rather than long‐term mortality, including follow‐up, after hospital discharge. Further studies are needed to determine whether there may be excess mortality after patients are discharged from acute care hospitals. Fourth, our study used administrative data. Possible misclassification in coding disease and clinical characteristics may limit the utility of administrative data for interpreting the results.

In summary, this study may be the first report on the mortality of schizophrenic patients in acute care hospitalization. There was a nearly significant trend towards an increase in the standardized mortality of schizophrenic patients compared with that of general patients. Malignant neoplasm and cardiovascular diseases were significant factors associated with increased mortality. Suicide was the most frequent cause of death in this patient population.

Acknowledgements

We thank Mr. Masahito Taira and Ms. Noriko Irei for their excellent support of our data analysis and Mrs. Tomoko Yonaha for her excellent secretarial support.

References
  1. Newman SC,Bland RC.Mortality in a cohort of patients with schizophrenia: a record linkage study.Can J Psychiatry.1991;36:239245.
  2. Rasanen S,Hakko H,Viilo K, et al.Excess mortality among long‐stay psychiatric patients in northern Finland.Soc Psychiatry Psychiatr Epidemiol.2003;38:297304.
  3. Heila H,Haukka J,Suvisaari J, et al.Mortality among patients with schizophrenia and reduced psychiatric hospital care.Psychol Med.2005;35:725732.
  4. Politi P,Piccinelli M,Klersy C, et al.Mortality in psychiatric patients 5 to 21 years after hospital admission in Italy.Psychol Med.2002;32:227237.
  5. Joukamaa M,Heliovaara M,Knekt P, et al.Mental disorders and cause‐specific mortality.Br J Psychiatry.2001;179:498502.
  6. Lawrence D,Jablensky AV,Holman CD, et al.Mortality in Western Australian psychiatric patients.Soc Psychiatry Psychiatr Epidemiol.2000;35:341347.
  7. Sohlman B,Lehtinen V.Mortality among discharged psychiatric patients in Finland.Acta Psychiatr Scand.1999;99:102109.
  8. D'Avanzo B,La Vecchia C,Negri E.Mortality in long‐stay patients from psychiatric hospitals in Italy—results from the Qualyop Project.Soc Psychiatry Psychiatr Epidemiol.2003;38:385389.
  9. Hansen V,Arnesen E,Jacobsen BK.Total mortality in people admitted to a psychiatric hospital.Br J Psychiatry.1997;170:186190.
  10. Pompili M,Mancinelli I,Ruberto A, et al.Where schizophrenic patients commit suicide: a review of suicide among inpatients and former inpatients.Int J Psychiatry Med.2005;35:171190.
  11. Valenti M,Necozione S,Busellu G, et al.Mortality in psychiatric hospital patients: a cohort analysis of prognostic factors.Int J Epidemiol.1997;26:12271235
  12. Harris EC,Barraclough B.Excess mortality of mental disorder.Br J Psychiatry.1998;173:1153.
  13. Saku M,Tokudome S,Ikeda M, et al.Mortality in psychiatric patients, with a specific focus on cancer mortality associated with schizophrenia.Int J Epidemiol.1995;24:366372.
  14. Brown S.Excess mortality of schizophrenia. A meta‐analysis.Br J Psychiatry.1997;171:502508.
  15. Osby U,Correia N,Brandt L, et al.Mortality and causes of death in schizophrenia in Stockholm county, Sweden.Schizophr Res.2000;45:2128.
  16. Hewer W,Rossler W,Fatkenheuer B, et al.Mortality among patients in psychiatric hospitals in Germany.Acta Psychiatr Scand.1995;91:174179.
  17. Salokangas RK,Honkonen T,Stengard E, et al.Mortality in chronic schizophrenia during decreasing number of psychiatric beds in Finland.Schizophrenia Research2002;54:265275.
  18. Hansen V,Jacobsen BK,Arnesen E.Cause‐specific mortality in psychiatric patients after deinstitutionalisation.Br J Psychiatry.2001;179:438443.
  19. Brown S,Inskip H,Barraclough B.Causes of the excess mortality of schizophrenia.Br J Psychiatry.2000;177:212217.
  20. Stark C,MacLeod M,Hall D, et al.Mortality after discharge from long‐term psychiatric care in Scotland, 1977–94: a retrospective cohort study.BMC Public Health.2003;3:30.
  21. Kamara SG,Peterson PD,Dennis JL.Prevalence of physical illness among psychiatric inpatients who die of natural causes.Psychiatr Serv.1998;49:788793.
  22. Felker B,Yazel JJ,Short D.Mortality and medical comorbidity among psychiatric patients: a review.Psychiatr Serv.1996;47:13561363.
  23. Apter JT.The “silent” acute abdomen of schizophrenia.J Med Soc N J.1981;78:679680.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
110-116
Legacy Keywords
continuity of care transition and discharge planning, disease prevention, health promotion, multidisciplinary care
Sections
Article PDF
Article PDF

Previous studies have found that the total mortality of schizophrenic patients was higher than that of the general population.14 The all‐cause mortality for schizophrenic patients was 2 to 4 times that of the general population.57 Further, not only was the mortality of schizophrenic patients from suicide and traumatic causes higher than that of the general population, but mortality from natural causes was higher as well.8, 9 Of the specific causes of death of schizophrenic patients, suicide was the most important.10 In one study, suicidal mortality was approximately 20 times that of the general population.1 For natural causes, the most common cause of death was diseases of the circulatory system, followed by diseases of the respiratory system, the digestive system, and malignant neoplasm.2, 11 Overall, schizophrenic patients had a life expectancy about 20% shorter than that of the general population.1

However, few studies have investigated mortality among schizophrenic patients who were admitted to acute care hospitals. Studies involving large samples of inpatients with schizophrenia in general (nonpsychiatric) hospitals have also been scarce. The specific causes of death of hospitalized schizophrenic patients have not been investigated thoroughly. In addition, little is known about risk factors associated with the mortality of schizophrenic patients during acute care hospitalization. In this study, we analyzed hospital mortality of schizophrenic patients admitted to an acute care community teaching hospital and compared mortality between schizophrenic and nonschizophrenic patients. Our mortality data included patients presenting with suicidal attempts who died during their admission. We also determined significant factors associated with this increased mortality and the specific causes of death of these patients.

METHODS

Study Patients

We studied all patients admitted to Okinawa Chubu Hospital from January 1, 1987, to December 31, 2004. Okinawa Chubu is a community teaching hospital that provides primary to tertiary care to a population of approximately 400,000 in Okinawa, Japan. Nearly all patients admitted during the study period were Japanese (more than 99.5%).

We identified all schizophrenic patients through the computerized inpatient registry. This registry includes the hospital discharge summary electronic database, which is updated and reviewed by certified hospital record technicians using the ICD‐9 coding scheme (International Classification of Diseases, 9th Revision, and Clinical Modification). The diagnosis of schizophrenia was documented by staff psychiatrists, who provided basic psychiatric care for these patients in inpatient or outpatient settings. The study was approved by the Institutional Review Board of Okinawa Chubu Hospital.

Data Collection

We obtained basic demographic data on all patients admitted during the study period using the computerized inpatient registry. Data were extracted on demographics, discharge outcome (survival or nonsurvival), route of admission, direct transfer from psychiatric hospitals, admitting department, intensive care unit admission, liaison psychiatrist consultation, length of hospital stay (days), and diagnostic classifications based on the ICD‐9. Routes of admission included the emergency department (ED) and outpatient clinic. From the computerized record, we also determined causes of death of schizophrenic as well as nonschizophrenic patients. We performed a manual chart review to determine specific causes of death of schizophrenic patients because the administrative data included the ICD‐9 coding scheme for admitting diagnosis but did not include information on specific causes of death.

Statistical Analysis

We obtained the standardized mortality ratio of schizophrenic patients compared with general patient population during each admission year and calculated the 95% confidence interval (95% CI) using sex‐stratified 5‐year bands and the exact Poisson distribution method. We also analyzed risk factors associated with hospital mortality. In unadjusted logistic regression analyses, we calculated the odds ratios (ORs) and 95% CIs of the demographic and clinical variables for hospital mortality among all schizophrenic patients. We then performed multivariable‐adjusted logistic regression analysis to identify significant risk factors associated with increased hospital mortality, adjusted for demographic and clinical variables. A 2‐sided P value < .05 was considered statistically significant. All statistical analyses were performed using Stata Software Version 8.2 (StataCorp LP, College Station, TX).

RESULTS

We identified a total of 189,049 general nonschizophrenic patients admitted to Okinawa Chubu Hospital during the 18‐year period (Table 1). Of these, 7528 patients died during hospitalization, with an overall hospital mortality rate of 4.0% (95% CI, 3.9%4.1%). There were 55 deaths among 1108 schizophrenic patients admitted to Okinawa Chubu Hospital during the same period. Schizophrenic patients had an overall hospital mortality rate of 5.0% (95% CI, 3.8%6.4%). The hospital mortality rate was 4.4% (95% CI, 2.9%6.5%) for schizophrenic women and 5.5% (95% CI, 3.8%7.7%) for schizophrenic men.

Clinical Characteristics of Schizophrenic and Non‐schizophrenic Patients
Clinical characteristicSchizophrenics n = 1108Non‐schizophrenics n = 189049p‐value**
  • *Malignant neoplasms are categorized together rather than included in individual organ systems.

  • p‐values are calculated using chi‐square test for proportions and t‐test for continuous variables

  • SD=standard deviation; ED=emergency department; N/A=data not available

Age, mean (SD)48.7 (14.2)40.0 (28.8)<0.001
Women, n (%)543 (49.0)101218 (53.5)0.0026
Transferred from psychiatric hospital, n (%)254 (22.9)N/A 
Admission through ED, n (%)853 (77.0)111109 (58.8)<0.001
Admitted department, n (%)   
Internal medicine643 (58.0)65657 (34.7) 
General surgery222 (20.0)43036 (22.8) 
Other departments243 (21.9)80356 (42.5) 
Intensive care unit admission, n (%)157 (14.2)9900 (5.2)<0.001
Liaison psychiatrist consultation, n (%)239 (21.6)N/A 
Length of hospital stay (days), mean (SD)25.2 (44.1)18.0 (42.1)<0.001
Admission diagnosis, n (%)   
Infectious diseases without organ involvement13 (1.2)8009 (4.2) 
Malignant neoplasms92 (8.3)18481 (9.8) 
Endocrine, nutritional and metabolic diseases63 (5.7)3389 (1.8) 
Hematologic diseases11 (1.0)1364 (0.7) 
Mental diseases except schizophrenia32 (2.9)673 (0.4) 
Diseases of the nervous system28 (2.5)8433 (4.5) 
Diseases of the circulatory system108 (9.8)23163 (12.3) 
Diseases of the respiratory system133 (12.0)31212 (16.5) 
Diseases of the digestive system120 (10.8)15570 (8.2) 
Diseases of the genitourinary system44 (4.0)13816 (7.3) 
Complications of pregnancy46 (4.2)17132 (9.1) 
Diseases of the skin23 (2.1)2582 (1.4) 
Diseases of the musculoskeletal system20 (1.8)4221 (2.2) 
Congenital anomalies1 (0.1)3496 (1.8) 
Complications in the perinatal period1 (0.1)4178 (2.2) 
Ill‐defined conditions40 (3.6)4677 (2.5) 
Injury and poisoning190 (17.1)16083 (8.5) 
Social reasons5 (0.5)66 (0.0) 
Indeterminate138 (12.5)12504 (6.6) 

Comparing the schizophrenic patients and general patients admitted to Okinawa Chubu Hospital during the same period showed no significant differences in acute hospital mortality, with an overall standardized mortality ratio of 1.294 (95% CI, 0.9751.684) based on sex‐stratified 5‐year bands using the exact Poisson distribution method. However, there were no deaths among schizophrenics in 2004, which we considered an outlier. Thus, when excluding data on mortality in 2004 from the analysis, we obtained a significant standardized mortality ratio of 1.421 (95% CI, 1.0901.884) for the schizophrenic patients.

Table 1 also shows the clinical characteristics of schizophrenic and nonschizophrenic patients admitted to the hospital. Admissions of schizophrenic patients showed that 643 patients (58%) were admitted to the department of internal medicine, 222 patients (20%) to the department of surgery, and 243 patients (22%) to other departments. The most common admission diagnoses of schizophrenics were: 190 patients (17%) diagnosed with injury and poisoning, 133 (12%) with diseases of the respiratory system, and 120 (11%) with diseases of the digestive system. Patients with an admitting diagnosis of injury and poisoning included those who had attempted suicide, although the exact number of patients with suicidal tendencies was unclear in this registry data. Comparison of the clinical characteristics of schizophrenic and nonschizophrenic patients indicated that schizophrenics were more likely to be older, have a longer hospital stay, be male, be admitted through the emergency department, and be admitted to the intensive care unit.

Table 2 presents the specific causes of death of hospitalized schizophrenic and nonschizophrenic patients based on ICD‐9 coding. Forty‐five schizophrenic patients (81.8%; 95% CI, 69.1%90.9%) died from natural causes (all deaths excluding injury and poisoning). The most frequent of all causes of death (>2 total cases) were suicide (n = 8; 14.5%), malignant lymphoma or leukemia (6; 10.9%), stroke (5; 9.0%), and sepsis (4; 7.3%). Suicide was the cause of 14.5% (95% CI, 6.5%26.7%) of all deaths of schizophrenic patients. The initial hospital presentations of patients with schizophrenia whose suicide attempts were successful included burns (3), brain injury (1), drug overdose (1), organophosphate pesticide ingestion (1), hanging (1), and drowning (1). Although 2 of the patients had attempted suicide while hospitalized at a psychiatric hospital, we did not identify any patients who succeeded in killing themselves while hospitalized at the acute care general hospital. There were 2 deaths of schizophrenic patients with neuroleptic malignant syndrome in the study period. Nonschizophrenic patients who died from injury and poisoning (n = 407; 5.4%) included patients who had committed suicide, although the exact number of nonschizophrenic patients were successful suicides was unclear in these registry data.

Leading Causes of Hospital Mortality in Schizophrenic and Non‐schizophrenic Patients
Schizophrenic patientsNon‐schizophrenic patients
RankCauseNo. (%)RankCauseNo. (%)
  • *Specific Causes are shown in schizophrenic patients and ICD‐9 classification is used in non‐schizophrenic patients.

  • **Other causes include all causes with single case of hospital mortality in schizophrenic patients

1Suicide8 (14.5)1Malignant neoplasms2646 (35.1)
2Malignant lymphoma or leukemia6 (10.9)2Diseases of the circulatory system1769 (23.5)
3Stroke5 (9.0)3Diseases of the respiratory system787 (10.5)
4Sepsis4 (7.3)4Diseases of the digestive system427 (5.7)
5Lung cancer2 (3.6)5Injury and poisoning407 (5.4)
6Acute myocardial infarction2 (3.6)6Sepsis262 (3.5)
7Pneumonia2 (3.6)7Diseases of the genitourinary system150 (2.0)
8Uterine cancer2 (3.6)8Diseases of the nervous system119 (1.6)
9Neuroleptic malignant syndrome2 (3.6)9Endocrine, nutritional, and metabolic diseases86 (1.1)
10Other causes22 (40.0)10Others875 (11.6)
 Total55 (100) Total7528 (100)

Table 3 shows the logistic regression analyses for variables associated with acute hospital mortality of schizophrenic patients. In unadjusted analysis, the significant variables associated with the increased mortality included malignant neoplasm, diseases of the circulatory system, and older age. There was no significant difference in mortality between female and male schizophrenic patients. Unadjusted analysis showed that the mortality of schizophrenic patients directly transferred from a psychiatric hospital was not increased.

Risk Factors Associated with Hospital Mortality among Schizophrenic Patients
Clinical characteristicUnadjusted analysis odds ratio (95% CI)Multivariable analysis odds ratio (95% CI)
  • *Logistic regression analyses are used for each of the clinical characteristics.

  • **Multivariable‐adjusted logistic regression is used including all variables analyzed in the unadjusted analyses.

  • ED=emergency department; CI=confidence interval.

Malignant neoplasms5.83 (3.14 10.83)12.93 (5.67 29.51)
Admission through ED1.29 (0.62 2.68)3.30 (1.33 8.20)
Diseases of the circulatory system2.17 (1.06 4.43)2.63 (1.20 5.77)
Intensive care unit admission1.37 (0.68 2.78)1.43 (0.65 3.11)
Male gender1.26 (0.73 2.17)1.39 (0.77 2.50)
Older age1.02 (1.00 1.04)1.01 (0.99 1.03)
Longer hospital stay1.00 (0.99 1.01)1.00 (0.99 1.01)
Liaison psychiatrist consultation0.43 (0.18 1.02)0.45 (0.18 1.11)
Transferred from psychiatric hospital0.48 (0.21 1.07)0.37 (0.16 0.87)

In multivariable‐adjusted analysis (Table 3), the significant variables associated with increased mortality included malignant neoplasm (OR 12.93; 95% CI, 5.6729.51), diseases of the circulatory system (OR 2.63; 95% CI, 1.205.77), and admission through an emergency department (OR 3.30; 95% CI, 1.338.20). Further, a significant variable associated with decreased mortality was direct transfer from a psychiatric hospital (OR 0.37; 95% CI, 0.160.87). Consultation with a liaison psychiatrist in our hospital was not associated with decreased mortality.

DISCUSSION

The results of our study suggest that schizophrenic and nonschizophrenic patients were admitted with similar levels of medical pathology to an acute care hospital and that they responded comparably to inpatient medical care. The crude hospital mortality rate of schizophrenic patients admitted to our acute care hospital in Japan was 5.0%, whereas the crude mortality rate of nonschizophrenic patients during the same period was 4.0%. There was a nearly significant trend toward an increase in the overall standardized mortality ratio of schizophrenic patients compared with nonschizophrenic patients. Significant risk factors for the increased mortality of the schizophrenic patients were malignant neoplasm, cardiovascular disease, admission through an emergency department, and not transferred directly from a psychiatric hospital.

Although the overall standardized mortality ratio between schizophrenic and nonschizophrenic patients was not statistically significant in this study population, our reanalysis excluding the probable outlier data for 2004 did show a significant increase in the mortality of schizophrenic patients. Previous community‐based cohort studies, including a Japanese study, have consistently shown that the mortality of patients with schizophrenia was higher than that of the general population.12, 13 A meta‐analysis also suggested that schizophrenic patients had a significantly higher mortality from suicide and traumatic death as well as natural causes.14 In a recent study in Sweden, natural cause of death was found to be the main cause of excess deaths.15 Natural causes were also likely to be important in our study, because deaths from natural causes were 82% of all deaths of schizophrenic patients in settings of acute care hospitalization in Okinawa, Japan.

Suicide was the most important cause of death among our reported schizophrenic patients (14.5% of all deaths). In another survey, suicide was also the most frequent cause of death (36%).16 We may need improved and vigilant suicide prevention programs and better control of the psychiatric symptoms of these patients. In addition, there may be subgroups of schizophrenic patients at higher risk for suicide who should be targeted for suicide prevention. For instance, previous studies have suggested that the need for psychosedative medication at discharge from a psychiatric hospital and multiple previous hospitalizations increased the risk of suicide.17, 18 Suicide risk may also be increased in the first year after discharge from a psychiatric hospital.10, 17, 18

Our study showed that malignant neoplasm and cardiovascular disease were significantly associated with increased hospital mortality of schizophrenic patients, although malignant lymphoma/leukemia was the most frequent specific cause of death from malignant neoplasm. One previous study showed that fatal smoking‐related diseases were more prominent in schizophrenic patients than in the general population.19, 20 Attention to designing health educational programs specifically for schizophrenic patients, including healthy diet, smoking cessation, and physical exercise may be necessary. Smoking cessation may be important because a high percentage of schizophrenic patients in Japan are smokers.13

In our study survival of patients coming from psychiatric hospitals was greater than that of those coming from the community. In contrast, a study in Italy suggested that longer psychiatric hospitalization and chronic custodial care at psychiatric hospitals were risk factors for death of schizophrenic patients.11 The Japanese psychiatric management system is usually based on a model in which half the schizophrenic patients are managed in psychiatric hospitals and half are managed in community outpatient psychiatric clinics. Schizophrenic patients who are followed as outpatients may not receive adequate preventive care for common medical illnesses in Japan. Psychiatric hospitalization may provide an opportunity for preventive medicine for these patients.

The suicide rate of 14.5% among all causes of death suggests the need to focus on suicide prevention in schizophrenic patients. Prevention efforts should focus on suicidal tendencies, smoking, and other cardiovascular risk factors. Because most schizophrenic patients are followed regularly by practicing psychiatrists on a long‐term basis, we encourage practicing psychiatrists to use preventive health programs as a regular part of their treatment plans.21 However, we need to recognize that the psychiatric conditions could limit their ability to communicate symptoms of comorbid conditions. In addition, schizophrenic patients sometimes even refuse to undergo treatment for any illness they may have. These barriers that make it difficult to provide preventive care may be challenging issues for health care providers of psychiatric services.

Early recognition of comorbid medical conditions and the subsequent referral to acute care hospitals in a timely manner may be necessary for the improvement of care to reduce the mortality of schizophrenic patients. One review article suggested that schizophrenic patients suffered from more comorbid medical illnesses, which were largely undiagnosed and untreated and which may cause or exacerbate psychiatric symptoms.22 However, there may be multiple barriers to optimal primary medical care for these patients. In patients with schizophrenia, atypical presentation may be common; schizophrenic patients may be less symptomatic for localized symptoms and signs.23 There may be system‐based and politically based disparities between psychiatric hospitals and general hospitals in the treatment of schizophrenic patients depending on the country and region.22 Both political advocacy and development of primary care programs may be instituted to efficiently meet the health needs of these patients.

We did not find any significant differences in hospital mortality between patients with liaison psychiatrist consultation and those without. Liaison psychiatrists at our hospital received consultations from inpatient medical care teams and provided advice to 20% of admitted schizophrenic patients. Although their advice appears to be useful for controlling psychiatric symptoms, their consultations may not be significantly important for lowering hospital mortality.

Our study conducted in Japan may have implications for physicians working as general internists, especially hospitalists, in other countries. This may be the first study to comprehensively assess acute hospital care among schizophrenic patients. We determined common causes of and several risk factors associated with acute care mortality. These findings may help to identify schizophrenic patients at risk of dying when caring for these patients in acute care hospitals. In addition, the importance of preventive programs focusing on suicide would also be applicable to other countries.

We interpreted our results according to whether they are clinically significant. First, we performed the study at a single institution in Okinawa, Japan. Thus, our findings would require external confirmation for their generalizability to other acute care hospital settings. Second, different systems of health care in different countries may influence not only overall mortality but also hospital mortality. Comparative studies of hospital mortality at acute care general hospitals in different countries would be helpful. Third, we analyzed inpatient hospital mortality rather than long‐term mortality, including follow‐up, after hospital discharge. Further studies are needed to determine whether there may be excess mortality after patients are discharged from acute care hospitals. Fourth, our study used administrative data. Possible misclassification in coding disease and clinical characteristics may limit the utility of administrative data for interpreting the results.

In summary, this study may be the first report on the mortality of schizophrenic patients in acute care hospitalization. There was a nearly significant trend towards an increase in the standardized mortality of schizophrenic patients compared with that of general patients. Malignant neoplasm and cardiovascular diseases were significant factors associated with increased mortality. Suicide was the most frequent cause of death in this patient population.

Acknowledgements

We thank Mr. Masahito Taira and Ms. Noriko Irei for their excellent support of our data analysis and Mrs. Tomoko Yonaha for her excellent secretarial support.

Previous studies have found that the total mortality of schizophrenic patients was higher than that of the general population.14 The all‐cause mortality for schizophrenic patients was 2 to 4 times that of the general population.57 Further, not only was the mortality of schizophrenic patients from suicide and traumatic causes higher than that of the general population, but mortality from natural causes was higher as well.8, 9 Of the specific causes of death of schizophrenic patients, suicide was the most important.10 In one study, suicidal mortality was approximately 20 times that of the general population.1 For natural causes, the most common cause of death was diseases of the circulatory system, followed by diseases of the respiratory system, the digestive system, and malignant neoplasm.2, 11 Overall, schizophrenic patients had a life expectancy about 20% shorter than that of the general population.1

However, few studies have investigated mortality among schizophrenic patients who were admitted to acute care hospitals. Studies involving large samples of inpatients with schizophrenia in general (nonpsychiatric) hospitals have also been scarce. The specific causes of death of hospitalized schizophrenic patients have not been investigated thoroughly. In addition, little is known about risk factors associated with the mortality of schizophrenic patients during acute care hospitalization. In this study, we analyzed hospital mortality of schizophrenic patients admitted to an acute care community teaching hospital and compared mortality between schizophrenic and nonschizophrenic patients. Our mortality data included patients presenting with suicidal attempts who died during their admission. We also determined significant factors associated with this increased mortality and the specific causes of death of these patients.

METHODS

Study Patients

We studied all patients admitted to Okinawa Chubu Hospital from January 1, 1987, to December 31, 2004. Okinawa Chubu is a community teaching hospital that provides primary to tertiary care to a population of approximately 400,000 in Okinawa, Japan. Nearly all patients admitted during the study period were Japanese (more than 99.5%).

We identified all schizophrenic patients through the computerized inpatient registry. This registry includes the hospital discharge summary electronic database, which is updated and reviewed by certified hospital record technicians using the ICD‐9 coding scheme (International Classification of Diseases, 9th Revision, and Clinical Modification). The diagnosis of schizophrenia was documented by staff psychiatrists, who provided basic psychiatric care for these patients in inpatient or outpatient settings. The study was approved by the Institutional Review Board of Okinawa Chubu Hospital.

Data Collection

We obtained basic demographic data on all patients admitted during the study period using the computerized inpatient registry. Data were extracted on demographics, discharge outcome (survival or nonsurvival), route of admission, direct transfer from psychiatric hospitals, admitting department, intensive care unit admission, liaison psychiatrist consultation, length of hospital stay (days), and diagnostic classifications based on the ICD‐9. Routes of admission included the emergency department (ED) and outpatient clinic. From the computerized record, we also determined causes of death of schizophrenic as well as nonschizophrenic patients. We performed a manual chart review to determine specific causes of death of schizophrenic patients because the administrative data included the ICD‐9 coding scheme for admitting diagnosis but did not include information on specific causes of death.

Statistical Analysis

We obtained the standardized mortality ratio of schizophrenic patients compared with general patient population during each admission year and calculated the 95% confidence interval (95% CI) using sex‐stratified 5‐year bands and the exact Poisson distribution method. We also analyzed risk factors associated with hospital mortality. In unadjusted logistic regression analyses, we calculated the odds ratios (ORs) and 95% CIs of the demographic and clinical variables for hospital mortality among all schizophrenic patients. We then performed multivariable‐adjusted logistic regression analysis to identify significant risk factors associated with increased hospital mortality, adjusted for demographic and clinical variables. A 2‐sided P value < .05 was considered statistically significant. All statistical analyses were performed using Stata Software Version 8.2 (StataCorp LP, College Station, TX).

RESULTS

We identified a total of 189,049 general nonschizophrenic patients admitted to Okinawa Chubu Hospital during the 18‐year period (Table 1). Of these, 7528 patients died during hospitalization, with an overall hospital mortality rate of 4.0% (95% CI, 3.9%4.1%). There were 55 deaths among 1108 schizophrenic patients admitted to Okinawa Chubu Hospital during the same period. Schizophrenic patients had an overall hospital mortality rate of 5.0% (95% CI, 3.8%6.4%). The hospital mortality rate was 4.4% (95% CI, 2.9%6.5%) for schizophrenic women and 5.5% (95% CI, 3.8%7.7%) for schizophrenic men.

Clinical Characteristics of Schizophrenic and Non‐schizophrenic Patients
Clinical characteristicSchizophrenics n = 1108Non‐schizophrenics n = 189049p‐value**
  • *Malignant neoplasms are categorized together rather than included in individual organ systems.

  • p‐values are calculated using chi‐square test for proportions and t‐test for continuous variables

  • SD=standard deviation; ED=emergency department; N/A=data not available

Age, mean (SD)48.7 (14.2)40.0 (28.8)<0.001
Women, n (%)543 (49.0)101218 (53.5)0.0026
Transferred from psychiatric hospital, n (%)254 (22.9)N/A 
Admission through ED, n (%)853 (77.0)111109 (58.8)<0.001
Admitted department, n (%)   
Internal medicine643 (58.0)65657 (34.7) 
General surgery222 (20.0)43036 (22.8) 
Other departments243 (21.9)80356 (42.5) 
Intensive care unit admission, n (%)157 (14.2)9900 (5.2)<0.001
Liaison psychiatrist consultation, n (%)239 (21.6)N/A 
Length of hospital stay (days), mean (SD)25.2 (44.1)18.0 (42.1)<0.001
Admission diagnosis, n (%)   
Infectious diseases without organ involvement13 (1.2)8009 (4.2) 
Malignant neoplasms92 (8.3)18481 (9.8) 
Endocrine, nutritional and metabolic diseases63 (5.7)3389 (1.8) 
Hematologic diseases11 (1.0)1364 (0.7) 
Mental diseases except schizophrenia32 (2.9)673 (0.4) 
Diseases of the nervous system28 (2.5)8433 (4.5) 
Diseases of the circulatory system108 (9.8)23163 (12.3) 
Diseases of the respiratory system133 (12.0)31212 (16.5) 
Diseases of the digestive system120 (10.8)15570 (8.2) 
Diseases of the genitourinary system44 (4.0)13816 (7.3) 
Complications of pregnancy46 (4.2)17132 (9.1) 
Diseases of the skin23 (2.1)2582 (1.4) 
Diseases of the musculoskeletal system20 (1.8)4221 (2.2) 
Congenital anomalies1 (0.1)3496 (1.8) 
Complications in the perinatal period1 (0.1)4178 (2.2) 
Ill‐defined conditions40 (3.6)4677 (2.5) 
Injury and poisoning190 (17.1)16083 (8.5) 
Social reasons5 (0.5)66 (0.0) 
Indeterminate138 (12.5)12504 (6.6) 

Comparing the schizophrenic patients and general patients admitted to Okinawa Chubu Hospital during the same period showed no significant differences in acute hospital mortality, with an overall standardized mortality ratio of 1.294 (95% CI, 0.9751.684) based on sex‐stratified 5‐year bands using the exact Poisson distribution method. However, there were no deaths among schizophrenics in 2004, which we considered an outlier. Thus, when excluding data on mortality in 2004 from the analysis, we obtained a significant standardized mortality ratio of 1.421 (95% CI, 1.0901.884) for the schizophrenic patients.

Table 1 also shows the clinical characteristics of schizophrenic and nonschizophrenic patients admitted to the hospital. Admissions of schizophrenic patients showed that 643 patients (58%) were admitted to the department of internal medicine, 222 patients (20%) to the department of surgery, and 243 patients (22%) to other departments. The most common admission diagnoses of schizophrenics were: 190 patients (17%) diagnosed with injury and poisoning, 133 (12%) with diseases of the respiratory system, and 120 (11%) with diseases of the digestive system. Patients with an admitting diagnosis of injury and poisoning included those who had attempted suicide, although the exact number of patients with suicidal tendencies was unclear in this registry data. Comparison of the clinical characteristics of schizophrenic and nonschizophrenic patients indicated that schizophrenics were more likely to be older, have a longer hospital stay, be male, be admitted through the emergency department, and be admitted to the intensive care unit.

Table 2 presents the specific causes of death of hospitalized schizophrenic and nonschizophrenic patients based on ICD‐9 coding. Forty‐five schizophrenic patients (81.8%; 95% CI, 69.1%90.9%) died from natural causes (all deaths excluding injury and poisoning). The most frequent of all causes of death (>2 total cases) were suicide (n = 8; 14.5%), malignant lymphoma or leukemia (6; 10.9%), stroke (5; 9.0%), and sepsis (4; 7.3%). Suicide was the cause of 14.5% (95% CI, 6.5%26.7%) of all deaths of schizophrenic patients. The initial hospital presentations of patients with schizophrenia whose suicide attempts were successful included burns (3), brain injury (1), drug overdose (1), organophosphate pesticide ingestion (1), hanging (1), and drowning (1). Although 2 of the patients had attempted suicide while hospitalized at a psychiatric hospital, we did not identify any patients who succeeded in killing themselves while hospitalized at the acute care general hospital. There were 2 deaths of schizophrenic patients with neuroleptic malignant syndrome in the study period. Nonschizophrenic patients who died from injury and poisoning (n = 407; 5.4%) included patients who had committed suicide, although the exact number of nonschizophrenic patients were successful suicides was unclear in these registry data.

Leading Causes of Hospital Mortality in Schizophrenic and Non‐schizophrenic Patients
Schizophrenic patientsNon‐schizophrenic patients
RankCauseNo. (%)RankCauseNo. (%)
  • *Specific Causes are shown in schizophrenic patients and ICD‐9 classification is used in non‐schizophrenic patients.

  • **Other causes include all causes with single case of hospital mortality in schizophrenic patients

1Suicide8 (14.5)1Malignant neoplasms2646 (35.1)
2Malignant lymphoma or leukemia6 (10.9)2Diseases of the circulatory system1769 (23.5)
3Stroke5 (9.0)3Diseases of the respiratory system787 (10.5)
4Sepsis4 (7.3)4Diseases of the digestive system427 (5.7)
5Lung cancer2 (3.6)5Injury and poisoning407 (5.4)
6Acute myocardial infarction2 (3.6)6Sepsis262 (3.5)
7Pneumonia2 (3.6)7Diseases of the genitourinary system150 (2.0)
8Uterine cancer2 (3.6)8Diseases of the nervous system119 (1.6)
9Neuroleptic malignant syndrome2 (3.6)9Endocrine, nutritional, and metabolic diseases86 (1.1)
10Other causes22 (40.0)10Others875 (11.6)
 Total55 (100) Total7528 (100)

Table 3 shows the logistic regression analyses for variables associated with acute hospital mortality of schizophrenic patients. In unadjusted analysis, the significant variables associated with the increased mortality included malignant neoplasm, diseases of the circulatory system, and older age. There was no significant difference in mortality between female and male schizophrenic patients. Unadjusted analysis showed that the mortality of schizophrenic patients directly transferred from a psychiatric hospital was not increased.

Risk Factors Associated with Hospital Mortality among Schizophrenic Patients
Clinical characteristicUnadjusted analysis odds ratio (95% CI)Multivariable analysis odds ratio (95% CI)
  • *Logistic regression analyses are used for each of the clinical characteristics.

  • **Multivariable‐adjusted logistic regression is used including all variables analyzed in the unadjusted analyses.

  • ED=emergency department; CI=confidence interval.

Malignant neoplasms5.83 (3.14 10.83)12.93 (5.67 29.51)
Admission through ED1.29 (0.62 2.68)3.30 (1.33 8.20)
Diseases of the circulatory system2.17 (1.06 4.43)2.63 (1.20 5.77)
Intensive care unit admission1.37 (0.68 2.78)1.43 (0.65 3.11)
Male gender1.26 (0.73 2.17)1.39 (0.77 2.50)
Older age1.02 (1.00 1.04)1.01 (0.99 1.03)
Longer hospital stay1.00 (0.99 1.01)1.00 (0.99 1.01)
Liaison psychiatrist consultation0.43 (0.18 1.02)0.45 (0.18 1.11)
Transferred from psychiatric hospital0.48 (0.21 1.07)0.37 (0.16 0.87)

In multivariable‐adjusted analysis (Table 3), the significant variables associated with increased mortality included malignant neoplasm (OR 12.93; 95% CI, 5.6729.51), diseases of the circulatory system (OR 2.63; 95% CI, 1.205.77), and admission through an emergency department (OR 3.30; 95% CI, 1.338.20). Further, a significant variable associated with decreased mortality was direct transfer from a psychiatric hospital (OR 0.37; 95% CI, 0.160.87). Consultation with a liaison psychiatrist in our hospital was not associated with decreased mortality.

DISCUSSION

The results of our study suggest that schizophrenic and nonschizophrenic patients were admitted with similar levels of medical pathology to an acute care hospital and that they responded comparably to inpatient medical care. The crude hospital mortality rate of schizophrenic patients admitted to our acute care hospital in Japan was 5.0%, whereas the crude mortality rate of nonschizophrenic patients during the same period was 4.0%. There was a nearly significant trend toward an increase in the overall standardized mortality ratio of schizophrenic patients compared with nonschizophrenic patients. Significant risk factors for the increased mortality of the schizophrenic patients were malignant neoplasm, cardiovascular disease, admission through an emergency department, and not transferred directly from a psychiatric hospital.

Although the overall standardized mortality ratio between schizophrenic and nonschizophrenic patients was not statistically significant in this study population, our reanalysis excluding the probable outlier data for 2004 did show a significant increase in the mortality of schizophrenic patients. Previous community‐based cohort studies, including a Japanese study, have consistently shown that the mortality of patients with schizophrenia was higher than that of the general population.12, 13 A meta‐analysis also suggested that schizophrenic patients had a significantly higher mortality from suicide and traumatic death as well as natural causes.14 In a recent study in Sweden, natural cause of death was found to be the main cause of excess deaths.15 Natural causes were also likely to be important in our study, because deaths from natural causes were 82% of all deaths of schizophrenic patients in settings of acute care hospitalization in Okinawa, Japan.

Suicide was the most important cause of death among our reported schizophrenic patients (14.5% of all deaths). In another survey, suicide was also the most frequent cause of death (36%).16 We may need improved and vigilant suicide prevention programs and better control of the psychiatric symptoms of these patients. In addition, there may be subgroups of schizophrenic patients at higher risk for suicide who should be targeted for suicide prevention. For instance, previous studies have suggested that the need for psychosedative medication at discharge from a psychiatric hospital and multiple previous hospitalizations increased the risk of suicide.17, 18 Suicide risk may also be increased in the first year after discharge from a psychiatric hospital.10, 17, 18

Our study showed that malignant neoplasm and cardiovascular disease were significantly associated with increased hospital mortality of schizophrenic patients, although malignant lymphoma/leukemia was the most frequent specific cause of death from malignant neoplasm. One previous study showed that fatal smoking‐related diseases were more prominent in schizophrenic patients than in the general population.19, 20 Attention to designing health educational programs specifically for schizophrenic patients, including healthy diet, smoking cessation, and physical exercise may be necessary. Smoking cessation may be important because a high percentage of schizophrenic patients in Japan are smokers.13

In our study survival of patients coming from psychiatric hospitals was greater than that of those coming from the community. In contrast, a study in Italy suggested that longer psychiatric hospitalization and chronic custodial care at psychiatric hospitals were risk factors for death of schizophrenic patients.11 The Japanese psychiatric management system is usually based on a model in which half the schizophrenic patients are managed in psychiatric hospitals and half are managed in community outpatient psychiatric clinics. Schizophrenic patients who are followed as outpatients may not receive adequate preventive care for common medical illnesses in Japan. Psychiatric hospitalization may provide an opportunity for preventive medicine for these patients.

The suicide rate of 14.5% among all causes of death suggests the need to focus on suicide prevention in schizophrenic patients. Prevention efforts should focus on suicidal tendencies, smoking, and other cardiovascular risk factors. Because most schizophrenic patients are followed regularly by practicing psychiatrists on a long‐term basis, we encourage practicing psychiatrists to use preventive health programs as a regular part of their treatment plans.21 However, we need to recognize that the psychiatric conditions could limit their ability to communicate symptoms of comorbid conditions. In addition, schizophrenic patients sometimes even refuse to undergo treatment for any illness they may have. These barriers that make it difficult to provide preventive care may be challenging issues for health care providers of psychiatric services.

Early recognition of comorbid medical conditions and the subsequent referral to acute care hospitals in a timely manner may be necessary for the improvement of care to reduce the mortality of schizophrenic patients. One review article suggested that schizophrenic patients suffered from more comorbid medical illnesses, which were largely undiagnosed and untreated and which may cause or exacerbate psychiatric symptoms.22 However, there may be multiple barriers to optimal primary medical care for these patients. In patients with schizophrenia, atypical presentation may be common; schizophrenic patients may be less symptomatic for localized symptoms and signs.23 There may be system‐based and politically based disparities between psychiatric hospitals and general hospitals in the treatment of schizophrenic patients depending on the country and region.22 Both political advocacy and development of primary care programs may be instituted to efficiently meet the health needs of these patients.

We did not find any significant differences in hospital mortality between patients with liaison psychiatrist consultation and those without. Liaison psychiatrists at our hospital received consultations from inpatient medical care teams and provided advice to 20% of admitted schizophrenic patients. Although their advice appears to be useful for controlling psychiatric symptoms, their consultations may not be significantly important for lowering hospital mortality.

Our study conducted in Japan may have implications for physicians working as general internists, especially hospitalists, in other countries. This may be the first study to comprehensively assess acute hospital care among schizophrenic patients. We determined common causes of and several risk factors associated with acute care mortality. These findings may help to identify schizophrenic patients at risk of dying when caring for these patients in acute care hospitals. In addition, the importance of preventive programs focusing on suicide would also be applicable to other countries.

We interpreted our results according to whether they are clinically significant. First, we performed the study at a single institution in Okinawa, Japan. Thus, our findings would require external confirmation for their generalizability to other acute care hospital settings. Second, different systems of health care in different countries may influence not only overall mortality but also hospital mortality. Comparative studies of hospital mortality at acute care general hospitals in different countries would be helpful. Third, we analyzed inpatient hospital mortality rather than long‐term mortality, including follow‐up, after hospital discharge. Further studies are needed to determine whether there may be excess mortality after patients are discharged from acute care hospitals. Fourth, our study used administrative data. Possible misclassification in coding disease and clinical characteristics may limit the utility of administrative data for interpreting the results.

In summary, this study may be the first report on the mortality of schizophrenic patients in acute care hospitalization. There was a nearly significant trend towards an increase in the standardized mortality of schizophrenic patients compared with that of general patients. Malignant neoplasm and cardiovascular diseases were significant factors associated with increased mortality. Suicide was the most frequent cause of death in this patient population.

Acknowledgements

We thank Mr. Masahito Taira and Ms. Noriko Irei for their excellent support of our data analysis and Mrs. Tomoko Yonaha for her excellent secretarial support.

References
  1. Newman SC,Bland RC.Mortality in a cohort of patients with schizophrenia: a record linkage study.Can J Psychiatry.1991;36:239245.
  2. Rasanen S,Hakko H,Viilo K, et al.Excess mortality among long‐stay psychiatric patients in northern Finland.Soc Psychiatry Psychiatr Epidemiol.2003;38:297304.
  3. Heila H,Haukka J,Suvisaari J, et al.Mortality among patients with schizophrenia and reduced psychiatric hospital care.Psychol Med.2005;35:725732.
  4. Politi P,Piccinelli M,Klersy C, et al.Mortality in psychiatric patients 5 to 21 years after hospital admission in Italy.Psychol Med.2002;32:227237.
  5. Joukamaa M,Heliovaara M,Knekt P, et al.Mental disorders and cause‐specific mortality.Br J Psychiatry.2001;179:498502.
  6. Lawrence D,Jablensky AV,Holman CD, et al.Mortality in Western Australian psychiatric patients.Soc Psychiatry Psychiatr Epidemiol.2000;35:341347.
  7. Sohlman B,Lehtinen V.Mortality among discharged psychiatric patients in Finland.Acta Psychiatr Scand.1999;99:102109.
  8. D'Avanzo B,La Vecchia C,Negri E.Mortality in long‐stay patients from psychiatric hospitals in Italy—results from the Qualyop Project.Soc Psychiatry Psychiatr Epidemiol.2003;38:385389.
  9. Hansen V,Arnesen E,Jacobsen BK.Total mortality in people admitted to a psychiatric hospital.Br J Psychiatry.1997;170:186190.
  10. Pompili M,Mancinelli I,Ruberto A, et al.Where schizophrenic patients commit suicide: a review of suicide among inpatients and former inpatients.Int J Psychiatry Med.2005;35:171190.
  11. Valenti M,Necozione S,Busellu G, et al.Mortality in psychiatric hospital patients: a cohort analysis of prognostic factors.Int J Epidemiol.1997;26:12271235
  12. Harris EC,Barraclough B.Excess mortality of mental disorder.Br J Psychiatry.1998;173:1153.
  13. Saku M,Tokudome S,Ikeda M, et al.Mortality in psychiatric patients, with a specific focus on cancer mortality associated with schizophrenia.Int J Epidemiol.1995;24:366372.
  14. Brown S.Excess mortality of schizophrenia. A meta‐analysis.Br J Psychiatry.1997;171:502508.
  15. Osby U,Correia N,Brandt L, et al.Mortality and causes of death in schizophrenia in Stockholm county, Sweden.Schizophr Res.2000;45:2128.
  16. Hewer W,Rossler W,Fatkenheuer B, et al.Mortality among patients in psychiatric hospitals in Germany.Acta Psychiatr Scand.1995;91:174179.
  17. Salokangas RK,Honkonen T,Stengard E, et al.Mortality in chronic schizophrenia during decreasing number of psychiatric beds in Finland.Schizophrenia Research2002;54:265275.
  18. Hansen V,Jacobsen BK,Arnesen E.Cause‐specific mortality in psychiatric patients after deinstitutionalisation.Br J Psychiatry.2001;179:438443.
  19. Brown S,Inskip H,Barraclough B.Causes of the excess mortality of schizophrenia.Br J Psychiatry.2000;177:212217.
  20. Stark C,MacLeod M,Hall D, et al.Mortality after discharge from long‐term psychiatric care in Scotland, 1977–94: a retrospective cohort study.BMC Public Health.2003;3:30.
  21. Kamara SG,Peterson PD,Dennis JL.Prevalence of physical illness among psychiatric inpatients who die of natural causes.Psychiatr Serv.1998;49:788793.
  22. Felker B,Yazel JJ,Short D.Mortality and medical comorbidity among psychiatric patients: a review.Psychiatr Serv.1996;47:13561363.
  23. Apter JT.The “silent” acute abdomen of schizophrenia.J Med Soc N J.1981;78:679680.
References
  1. Newman SC,Bland RC.Mortality in a cohort of patients with schizophrenia: a record linkage study.Can J Psychiatry.1991;36:239245.
  2. Rasanen S,Hakko H,Viilo K, et al.Excess mortality among long‐stay psychiatric patients in northern Finland.Soc Psychiatry Psychiatr Epidemiol.2003;38:297304.
  3. Heila H,Haukka J,Suvisaari J, et al.Mortality among patients with schizophrenia and reduced psychiatric hospital care.Psychol Med.2005;35:725732.
  4. Politi P,Piccinelli M,Klersy C, et al.Mortality in psychiatric patients 5 to 21 years after hospital admission in Italy.Psychol Med.2002;32:227237.
  5. Joukamaa M,Heliovaara M,Knekt P, et al.Mental disorders and cause‐specific mortality.Br J Psychiatry.2001;179:498502.
  6. Lawrence D,Jablensky AV,Holman CD, et al.Mortality in Western Australian psychiatric patients.Soc Psychiatry Psychiatr Epidemiol.2000;35:341347.
  7. Sohlman B,Lehtinen V.Mortality among discharged psychiatric patients in Finland.Acta Psychiatr Scand.1999;99:102109.
  8. D'Avanzo B,La Vecchia C,Negri E.Mortality in long‐stay patients from psychiatric hospitals in Italy—results from the Qualyop Project.Soc Psychiatry Psychiatr Epidemiol.2003;38:385389.
  9. Hansen V,Arnesen E,Jacobsen BK.Total mortality in people admitted to a psychiatric hospital.Br J Psychiatry.1997;170:186190.
  10. Pompili M,Mancinelli I,Ruberto A, et al.Where schizophrenic patients commit suicide: a review of suicide among inpatients and former inpatients.Int J Psychiatry Med.2005;35:171190.
  11. Valenti M,Necozione S,Busellu G, et al.Mortality in psychiatric hospital patients: a cohort analysis of prognostic factors.Int J Epidemiol.1997;26:12271235
  12. Harris EC,Barraclough B.Excess mortality of mental disorder.Br J Psychiatry.1998;173:1153.
  13. Saku M,Tokudome S,Ikeda M, et al.Mortality in psychiatric patients, with a specific focus on cancer mortality associated with schizophrenia.Int J Epidemiol.1995;24:366372.
  14. Brown S.Excess mortality of schizophrenia. A meta‐analysis.Br J Psychiatry.1997;171:502508.
  15. Osby U,Correia N,Brandt L, et al.Mortality and causes of death in schizophrenia in Stockholm county, Sweden.Schizophr Res.2000;45:2128.
  16. Hewer W,Rossler W,Fatkenheuer B, et al.Mortality among patients in psychiatric hospitals in Germany.Acta Psychiatr Scand.1995;91:174179.
  17. Salokangas RK,Honkonen T,Stengard E, et al.Mortality in chronic schizophrenia during decreasing number of psychiatric beds in Finland.Schizophrenia Research2002;54:265275.
  18. Hansen V,Jacobsen BK,Arnesen E.Cause‐specific mortality in psychiatric patients after deinstitutionalisation.Br J Psychiatry.2001;179:438443.
  19. Brown S,Inskip H,Barraclough B.Causes of the excess mortality of schizophrenia.Br J Psychiatry.2000;177:212217.
  20. Stark C,MacLeod M,Hall D, et al.Mortality after discharge from long‐term psychiatric care in Scotland, 1977–94: a retrospective cohort study.BMC Public Health.2003;3:30.
  21. Kamara SG,Peterson PD,Dennis JL.Prevalence of physical illness among psychiatric inpatients who die of natural causes.Psychiatr Serv.1998;49:788793.
  22. Felker B,Yazel JJ,Short D.Mortality and medical comorbidity among psychiatric patients: a review.Psychiatr Serv.1996;47:13561363.
  23. Apter JT.The “silent” acute abdomen of schizophrenia.J Med Soc N J.1981;78:679680.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
110-116
Page Number
110-116
Article Type
Display Headline
Acute care hospital mortality of schizophrenic patients
Display Headline
Acute care hospital mortality of schizophrenic patients
Legacy Keywords
continuity of care transition and discharge planning, disease prevention, health promotion, multidisciplinary care
Legacy Keywords
continuity of care transition and discharge planning, disease prevention, health promotion, multidisciplinary care
Sections
Article Source

Copyright © 2008 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Division of General Internal Medicine, Department of Medicine, St Luke's International Hospital, 9‐1 Akashi‐cho, Chuo City, Tokyo 104‐8560 Japan
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Article PDF Media

Solifenacin‐Induced Small Bowel Pseudo‐Obstruction

Article Type
Changed
Mon, 01/02/2017 - 19:34
Display Headline
Solifenacin‐induced small bowel pseudo‐obstruction

Solfenacin succinate, an antimuscarinic agent, is approved for the treatment of overactive bladder and described as well tolerated in the elderly.1 We present the case of solifenacin‐induced small bowel pseudo‐obstruction in an 89‐year‐old woman.

FINDINGS

An 89‐year‐old woman with untreated stage 0 chronic lymphocytic leukemia and a history of stage III colorectal cancer treated with hemicolectomy and adjuvant capecitabine in 2003 was admitted to Johns Hopkins Hospital in 2006. She reported feeling dehydrated, nauseated, and constipated, with decreased output from her colostomy. She also noted no urine output for 4 days and felt that she had to urinate, but I can't. This coincided with a decrease in fluid intake. She denied fevers, chills, abdominal pain, or loss of appetite. While waiting to be seen in the emergency department, the patient was finally able to urinate.

She had no evidence of colon cancer recurrence, with a normal postoperative positron‐emission tomography (PET) scan in 2003, colonoscopy in 2005, and screening computerized tomography (CT) scan in 2005. She also had a history of well‐controlled hypertension and hypothyroidism, hyperlipidemia, chemotherapy‐induced neuropathy, and anxiety.

Her home medication regimen included solifenacin 5 mg once daily (started 10 days prior to her admission) for bladder overactivity, buspirone 5 mg 3 times a day, metoprolol 25 mg twice a day, pantoprazole 40 mg once daily, levothyroxine 100 g once daily, lisinopril/hydrochlorathiazide 20 mg/25 mg twice daily, gabapentin 300 mg twice a day, and fenofibrate 145 mg nightly.

The patient appeared nontoxic. Her exam was remarkable only for hypoactive bowel sounds and mild diffuse abdominal tenderness without distension or peritoneal signs. A Foley catheter was placed, and her postvoid residual was only 50 cc of urine. Her admission serum blood urea nitrogen and creatinine were 90 and 3.4 mg/dL, respectively, as compared with 18 and 0.8 mg/dL 2 months prior to presentation. A CT scan of the abdomen (Figure 1) revealed multiple dilated loops of small bowel with a transition point at the left lower quadrant ostomy site, consistent with a small bowel obstruction. A PET scan revealed no evidence of malignancy. A renal ultrasound showed no evidence of obstruction.

Figure 1
Long arrow: dilated loop of small bowel with air fluid levels. Short arrow: decompressed loop of small bowel distal to the obstruction.

With cessation of solifenacin and lisinopril/hydrochlorothiazide and hydration with normal saline, her constipation resolved, as did her acute renal failure and perception of urinary retention. She began to tolerate a regular diet after 4 days of hospitalization, and her colostomy output normalized. At follow‐up 8 months after admission, her creatinine was 0.8 mg/dL, and a screening abdominal CT showed complete resolution of the small bowel obstruction.

DISCUSSION

We believe that this patient developed small bowel pseudo‐obstruction as well the feeling of urinary retention because of treatment with solifenacin, an antimuscarinic agent approved for the treatment of bladder overactivity. Her acute renal failure was a result of prerenal azotemia. This particular patient was at increased risk for developing antimuscarinic‐induced bowel obstruction because of her previous surgery and exposure to chemotherapy.

In the 4 randomized trials cited in the prescribing information for solifenacin,2 only 189 patients of the 1811 who received the active drug were greater than 75 years old. Healthy elderly patients ranging from 64 to 78 years of age (mean 68.0 years) who received 2 weeks of treatment with solifenacin 5 and 10 mg had a mean AUC024 that was approximately 20% higher than that of younger subjects.3 In the 4 12‐week double‐blind clinical trials in which 1158 patients were treated with solifenacin 10 mg, there were 3 serious intestinal adverse events: 1 patient had a fecal impaction, 1 patient had a colonic obstruction, and 1 patient had an intestinal obstruction.2 Patients receiving solifenacin 5 and 10 mg were more likely to experience constipation than those receiving placebo (5.4%, 13.4%, and 2.9%, respectively).2 Given the dearth of clinical data on patients greater than 75 years old, the effects of age on the pharmacokinetics, the higher likelihood of bowel pathology in the elderly, the increased risk of solifenacin‐induced side effects in the elderly as reported in the pooled analysis of patients at least 65 years old,4 and the small clinical benefit of solifenacin,46 physicians should seriously consider whether the benefits of solifenacin outweigh both the known and the possible risks. 0

Randomized Placebo‐Controlled Double‐Blind Studies of Solifenacin
Patients in safety analysis (n) Constipation, n (%) Micturition/24 hours
Placebo 5 mg 10 mg Placebo 5 mg 10 mg Baseline Mean decrease from baseline
Placebo 5 mg 10 mg
  • Trials lasted 12 weeks and did not utilize an intention‐to‐treat analysis.

  • Inclusion criteria: men and women at least 18 years old, symptoms of overactive bladder syndrome for at least 3 months, average frequency of at least 8 voids/24 hours.

  • Exclusion criteria included significant bladder outlet obstruction, postvoid residual > 200 mL, presence of a neurological cause for detrusor muscle overactivity, any medical condition contraindicating the use of antimuscarinic medication, diabetic neuropathy, and use of any drugs with cholinergic or anticholinergic side effects.

  • Pooled analysis of patients at least 65 years old in Chapple et al.,6 Cardozo et al.,4 and 2 unpublished studies.1

Chapple et al.6* 267 279 268 5 (1.9) 20 (7.2) 21 (7.8) 12.0812.32 1.2 2.19 2.61
Cardozo et al.4* 301 299 307 6 (2.0) 11 (3.7) 28 (9.1) 12.0512.31 1.59 2.37 2.81
Wagg3 422 192 431 18 (4.3) 18 (9.4) 78 (18.1) 11.611.7 1.1 2.0 2.5
References
  1. Chapple CR.Solifenacin provides effective antimuscarinic therapy for the complete management of overactive bladder.Expert Opin Pharmacother.2006;7:24212434.
  2. Yamanouchi Pharma America, Inc.United States prescribing information for solifenacin succinate (Vesicare®), November2004.
  3. Krauwinkel WJ,Smulders RA,Mulder H,Swart PJ,Taekema‐Roelvink ME.Effect of age on the pharmacokinetics of solifenacin in men and women.Int J Clin Pharmacol Ther.2005;43:227238.
  4. Wagg A,Wyndaele JJ,Sieber P.Efficacy and tolerability of solifenacin in elderly subjects with overactive bladder syndrome: a pooled analysis.Am J Geriatr Pharmacother.2006;4(1):1424.
  5. Cardozo L,Lisec M,Millard R, et al.Randomized, double‐blind placebo controlled trial of the once daily antimuscarinic agent solifenacin succinate in patients with overactive bladder.J Urol.2004;172(5 Pt 1):19191924.
  6. Chapple CR,Rechberger T,Al‐Shukri S, et al.Randomized, double‐blind placebo‐ and tolterodine‐controlled trial of the once‐daily antimuscarinic agent solifenacin in patients with symptomatic overactive bladder.BJU Int.2004;93:303310.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
176-178
Legacy Keywords
solifenacin, Vesicare, small bowel obstruction, urinary retention, intestinal pseudo‐obstruction
Sections
Article PDF
Article PDF

Solfenacin succinate, an antimuscarinic agent, is approved for the treatment of overactive bladder and described as well tolerated in the elderly.1 We present the case of solifenacin‐induced small bowel pseudo‐obstruction in an 89‐year‐old woman.

FINDINGS

An 89‐year‐old woman with untreated stage 0 chronic lymphocytic leukemia and a history of stage III colorectal cancer treated with hemicolectomy and adjuvant capecitabine in 2003 was admitted to Johns Hopkins Hospital in 2006. She reported feeling dehydrated, nauseated, and constipated, with decreased output from her colostomy. She also noted no urine output for 4 days and felt that she had to urinate, but I can't. This coincided with a decrease in fluid intake. She denied fevers, chills, abdominal pain, or loss of appetite. While waiting to be seen in the emergency department, the patient was finally able to urinate.

She had no evidence of colon cancer recurrence, with a normal postoperative positron‐emission tomography (PET) scan in 2003, colonoscopy in 2005, and screening computerized tomography (CT) scan in 2005. She also had a history of well‐controlled hypertension and hypothyroidism, hyperlipidemia, chemotherapy‐induced neuropathy, and anxiety.

Her home medication regimen included solifenacin 5 mg once daily (started 10 days prior to her admission) for bladder overactivity, buspirone 5 mg 3 times a day, metoprolol 25 mg twice a day, pantoprazole 40 mg once daily, levothyroxine 100 g once daily, lisinopril/hydrochlorathiazide 20 mg/25 mg twice daily, gabapentin 300 mg twice a day, and fenofibrate 145 mg nightly.

The patient appeared nontoxic. Her exam was remarkable only for hypoactive bowel sounds and mild diffuse abdominal tenderness without distension or peritoneal signs. A Foley catheter was placed, and her postvoid residual was only 50 cc of urine. Her admission serum blood urea nitrogen and creatinine were 90 and 3.4 mg/dL, respectively, as compared with 18 and 0.8 mg/dL 2 months prior to presentation. A CT scan of the abdomen (Figure 1) revealed multiple dilated loops of small bowel with a transition point at the left lower quadrant ostomy site, consistent with a small bowel obstruction. A PET scan revealed no evidence of malignancy. A renal ultrasound showed no evidence of obstruction.

Figure 1
Long arrow: dilated loop of small bowel with air fluid levels. Short arrow: decompressed loop of small bowel distal to the obstruction.

With cessation of solifenacin and lisinopril/hydrochlorothiazide and hydration with normal saline, her constipation resolved, as did her acute renal failure and perception of urinary retention. She began to tolerate a regular diet after 4 days of hospitalization, and her colostomy output normalized. At follow‐up 8 months after admission, her creatinine was 0.8 mg/dL, and a screening abdominal CT showed complete resolution of the small bowel obstruction.

DISCUSSION

We believe that this patient developed small bowel pseudo‐obstruction as well the feeling of urinary retention because of treatment with solifenacin, an antimuscarinic agent approved for the treatment of bladder overactivity. Her acute renal failure was a result of prerenal azotemia. This particular patient was at increased risk for developing antimuscarinic‐induced bowel obstruction because of her previous surgery and exposure to chemotherapy.

In the 4 randomized trials cited in the prescribing information for solifenacin,2 only 189 patients of the 1811 who received the active drug were greater than 75 years old. Healthy elderly patients ranging from 64 to 78 years of age (mean 68.0 years) who received 2 weeks of treatment with solifenacin 5 and 10 mg had a mean AUC024 that was approximately 20% higher than that of younger subjects.3 In the 4 12‐week double‐blind clinical trials in which 1158 patients were treated with solifenacin 10 mg, there were 3 serious intestinal adverse events: 1 patient had a fecal impaction, 1 patient had a colonic obstruction, and 1 patient had an intestinal obstruction.2 Patients receiving solifenacin 5 and 10 mg were more likely to experience constipation than those receiving placebo (5.4%, 13.4%, and 2.9%, respectively).2 Given the dearth of clinical data on patients greater than 75 years old, the effects of age on the pharmacokinetics, the higher likelihood of bowel pathology in the elderly, the increased risk of solifenacin‐induced side effects in the elderly as reported in the pooled analysis of patients at least 65 years old,4 and the small clinical benefit of solifenacin,46 physicians should seriously consider whether the benefits of solifenacin outweigh both the known and the possible risks. 0

Randomized Placebo‐Controlled Double‐Blind Studies of Solifenacin
Patients in safety analysis (n) Constipation, n (%) Micturition/24 hours
Placebo 5 mg 10 mg Placebo 5 mg 10 mg Baseline Mean decrease from baseline
Placebo 5 mg 10 mg
  • Trials lasted 12 weeks and did not utilize an intention‐to‐treat analysis.

  • Inclusion criteria: men and women at least 18 years old, symptoms of overactive bladder syndrome for at least 3 months, average frequency of at least 8 voids/24 hours.

  • Exclusion criteria included significant bladder outlet obstruction, postvoid residual > 200 mL, presence of a neurological cause for detrusor muscle overactivity, any medical condition contraindicating the use of antimuscarinic medication, diabetic neuropathy, and use of any drugs with cholinergic or anticholinergic side effects.

  • Pooled analysis of patients at least 65 years old in Chapple et al.,6 Cardozo et al.,4 and 2 unpublished studies.1

Chapple et al.6* 267 279 268 5 (1.9) 20 (7.2) 21 (7.8) 12.0812.32 1.2 2.19 2.61
Cardozo et al.4* 301 299 307 6 (2.0) 11 (3.7) 28 (9.1) 12.0512.31 1.59 2.37 2.81
Wagg3 422 192 431 18 (4.3) 18 (9.4) 78 (18.1) 11.611.7 1.1 2.0 2.5

Solfenacin succinate, an antimuscarinic agent, is approved for the treatment of overactive bladder and described as well tolerated in the elderly.1 We present the case of solifenacin‐induced small bowel pseudo‐obstruction in an 89‐year‐old woman.

FINDINGS

An 89‐year‐old woman with untreated stage 0 chronic lymphocytic leukemia and a history of stage III colorectal cancer treated with hemicolectomy and adjuvant capecitabine in 2003 was admitted to Johns Hopkins Hospital in 2006. She reported feeling dehydrated, nauseated, and constipated, with decreased output from her colostomy. She also noted no urine output for 4 days and felt that she had to urinate, but I can't. This coincided with a decrease in fluid intake. She denied fevers, chills, abdominal pain, or loss of appetite. While waiting to be seen in the emergency department, the patient was finally able to urinate.

She had no evidence of colon cancer recurrence, with a normal postoperative positron‐emission tomography (PET) scan in 2003, colonoscopy in 2005, and screening computerized tomography (CT) scan in 2005. She also had a history of well‐controlled hypertension and hypothyroidism, hyperlipidemia, chemotherapy‐induced neuropathy, and anxiety.

Her home medication regimen included solifenacin 5 mg once daily (started 10 days prior to her admission) for bladder overactivity, buspirone 5 mg 3 times a day, metoprolol 25 mg twice a day, pantoprazole 40 mg once daily, levothyroxine 100 g once daily, lisinopril/hydrochlorathiazide 20 mg/25 mg twice daily, gabapentin 300 mg twice a day, and fenofibrate 145 mg nightly.

The patient appeared nontoxic. Her exam was remarkable only for hypoactive bowel sounds and mild diffuse abdominal tenderness without distension or peritoneal signs. A Foley catheter was placed, and her postvoid residual was only 50 cc of urine. Her admission serum blood urea nitrogen and creatinine were 90 and 3.4 mg/dL, respectively, as compared with 18 and 0.8 mg/dL 2 months prior to presentation. A CT scan of the abdomen (Figure 1) revealed multiple dilated loops of small bowel with a transition point at the left lower quadrant ostomy site, consistent with a small bowel obstruction. A PET scan revealed no evidence of malignancy. A renal ultrasound showed no evidence of obstruction.

Figure 1
Long arrow: dilated loop of small bowel with air fluid levels. Short arrow: decompressed loop of small bowel distal to the obstruction.

With cessation of solifenacin and lisinopril/hydrochlorothiazide and hydration with normal saline, her constipation resolved, as did her acute renal failure and perception of urinary retention. She began to tolerate a regular diet after 4 days of hospitalization, and her colostomy output normalized. At follow‐up 8 months after admission, her creatinine was 0.8 mg/dL, and a screening abdominal CT showed complete resolution of the small bowel obstruction.

DISCUSSION

We believe that this patient developed small bowel pseudo‐obstruction as well the feeling of urinary retention because of treatment with solifenacin, an antimuscarinic agent approved for the treatment of bladder overactivity. Her acute renal failure was a result of prerenal azotemia. This particular patient was at increased risk for developing antimuscarinic‐induced bowel obstruction because of her previous surgery and exposure to chemotherapy.

In the 4 randomized trials cited in the prescribing information for solifenacin,2 only 189 patients of the 1811 who received the active drug were greater than 75 years old. Healthy elderly patients ranging from 64 to 78 years of age (mean 68.0 years) who received 2 weeks of treatment with solifenacin 5 and 10 mg had a mean AUC024 that was approximately 20% higher than that of younger subjects.3 In the 4 12‐week double‐blind clinical trials in which 1158 patients were treated with solifenacin 10 mg, there were 3 serious intestinal adverse events: 1 patient had a fecal impaction, 1 patient had a colonic obstruction, and 1 patient had an intestinal obstruction.2 Patients receiving solifenacin 5 and 10 mg were more likely to experience constipation than those receiving placebo (5.4%, 13.4%, and 2.9%, respectively).2 Given the dearth of clinical data on patients greater than 75 years old, the effects of age on the pharmacokinetics, the higher likelihood of bowel pathology in the elderly, the increased risk of solifenacin‐induced side effects in the elderly as reported in the pooled analysis of patients at least 65 years old,4 and the small clinical benefit of solifenacin,46 physicians should seriously consider whether the benefits of solifenacin outweigh both the known and the possible risks. 0

Randomized Placebo‐Controlled Double‐Blind Studies of Solifenacin
Patients in safety analysis (n) Constipation, n (%) Micturition/24 hours
Placebo 5 mg 10 mg Placebo 5 mg 10 mg Baseline Mean decrease from baseline
Placebo 5 mg 10 mg
  • Trials lasted 12 weeks and did not utilize an intention‐to‐treat analysis.

  • Inclusion criteria: men and women at least 18 years old, symptoms of overactive bladder syndrome for at least 3 months, average frequency of at least 8 voids/24 hours.

  • Exclusion criteria included significant bladder outlet obstruction, postvoid residual > 200 mL, presence of a neurological cause for detrusor muscle overactivity, any medical condition contraindicating the use of antimuscarinic medication, diabetic neuropathy, and use of any drugs with cholinergic or anticholinergic side effects.

  • Pooled analysis of patients at least 65 years old in Chapple et al.,6 Cardozo et al.,4 and 2 unpublished studies.1

Chapple et al.6* 267 279 268 5 (1.9) 20 (7.2) 21 (7.8) 12.0812.32 1.2 2.19 2.61
Cardozo et al.4* 301 299 307 6 (2.0) 11 (3.7) 28 (9.1) 12.0512.31 1.59 2.37 2.81
Wagg3 422 192 431 18 (4.3) 18 (9.4) 78 (18.1) 11.611.7 1.1 2.0 2.5
References
  1. Chapple CR.Solifenacin provides effective antimuscarinic therapy for the complete management of overactive bladder.Expert Opin Pharmacother.2006;7:24212434.
  2. Yamanouchi Pharma America, Inc.United States prescribing information for solifenacin succinate (Vesicare®), November2004.
  3. Krauwinkel WJ,Smulders RA,Mulder H,Swart PJ,Taekema‐Roelvink ME.Effect of age on the pharmacokinetics of solifenacin in men and women.Int J Clin Pharmacol Ther.2005;43:227238.
  4. Wagg A,Wyndaele JJ,Sieber P.Efficacy and tolerability of solifenacin in elderly subjects with overactive bladder syndrome: a pooled analysis.Am J Geriatr Pharmacother.2006;4(1):1424.
  5. Cardozo L,Lisec M,Millard R, et al.Randomized, double‐blind placebo controlled trial of the once daily antimuscarinic agent solifenacin succinate in patients with overactive bladder.J Urol.2004;172(5 Pt 1):19191924.
  6. Chapple CR,Rechberger T,Al‐Shukri S, et al.Randomized, double‐blind placebo‐ and tolterodine‐controlled trial of the once‐daily antimuscarinic agent solifenacin in patients with symptomatic overactive bladder.BJU Int.2004;93:303310.
References
  1. Chapple CR.Solifenacin provides effective antimuscarinic therapy for the complete management of overactive bladder.Expert Opin Pharmacother.2006;7:24212434.
  2. Yamanouchi Pharma America, Inc.United States prescribing information for solifenacin succinate (Vesicare®), November2004.
  3. Krauwinkel WJ,Smulders RA,Mulder H,Swart PJ,Taekema‐Roelvink ME.Effect of age on the pharmacokinetics of solifenacin in men and women.Int J Clin Pharmacol Ther.2005;43:227238.
  4. Wagg A,Wyndaele JJ,Sieber P.Efficacy and tolerability of solifenacin in elderly subjects with overactive bladder syndrome: a pooled analysis.Am J Geriatr Pharmacother.2006;4(1):1424.
  5. Cardozo L,Lisec M,Millard R, et al.Randomized, double‐blind placebo controlled trial of the once daily antimuscarinic agent solifenacin succinate in patients with overactive bladder.J Urol.2004;172(5 Pt 1):19191924.
  6. Chapple CR,Rechberger T,Al‐Shukri S, et al.Randomized, double‐blind placebo‐ and tolterodine‐controlled trial of the once‐daily antimuscarinic agent solifenacin in patients with symptomatic overactive bladder.BJU Int.2004;93:303310.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
176-178
Page Number
176-178
Article Type
Display Headline
Solifenacin‐induced small bowel pseudo‐obstruction
Display Headline
Solifenacin‐induced small bowel pseudo‐obstruction
Legacy Keywords
solifenacin, Vesicare, small bowel obstruction, urinary retention, intestinal pseudo‐obstruction
Legacy Keywords
solifenacin, Vesicare, small bowel obstruction, urinary retention, intestinal pseudo‐obstruction
Sections
Article Source
Copyright © 2008 Society of Hospital Medicine
Disallow All Ads
Correspondence Location
Department of General Internal Medicine, Johns Hopkins Hospital, 600 North Wolfe Street, Park 307, Baltimore, MD 21287
Content Gating
Gated (full article locked unless allowed per User)
Gating Strategy
First Peek Free
Article PDF Media

Hepatitis C–Associated Penile Necrosis

Article Type
Changed
Mon, 01/02/2017 - 19:34
Display Headline
Hepatitis C–associated leukocytoclastic vasculitis with anticardiolipin antibodies causing penile necrosis and deep venous thrombosis in the absence of cryoglobulinemia

Leukocytoclastic vasculitis (LCCV) and deep venous thrombosis (DVT) are uncommon manifestations of hepatitis C and when seen, are usually associated with cryoglobulinemia. The presence of hepatitis Cassociated antiphospholipid antibodies (APLAs) such as anticardiolipin antibodies may increase the risk of deep venous thrombosis. Hepatitis Cassociated APLAs and LCCV leading to penile necrosis has not previously been reported, to our knowledge.

CASE

A previously healthy 57‐year‐old white man with hepatitis C presented with a 2‐ to 3‐day history of testicular pain and spreading, tender erythema on his left inner thigh. He reported 2 days of testicular and penile swelling and blackening of his penis 1 day prior to admission. He denied feeling ill, fevers, chills, nausea, vomiting, dysuria, hematuria, abdominal, back or penile pain or trauma, unusual sexual practices, or new medications.

His medical history was significant for IV drug use, hepatitis C infection, and hypertension in the remote past. He was in a 2‐year monogamous relationship with his female partner and denied any history of sexually transmitted diseases; however, he did report erectile dysfunction over the last few months. He worked as a bartender and reportedly drank 1 glass of wine per night. He denied tobacco or current IV drug use and did occasionally smoke marijuana. His medications included atenolol, hydrochlorothiazide, fish oil, cottonseed oil, and a multivitamin. He denied use of any herbal supplements or erectile dysfunction medications.

On physical exam he did not appear toxic. Vital signs were temperature of 37.3C, blood pressure of 155/80, pulse of 100, and O2 saturation of 97% on room air. His HEENT, cardiovascular, lung, and abdominal exams were unremarkable. He had a 5‐cm indurated, dark, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema, and an erythematous and indurated suprapubic region. His uncircumcised penis was swollen and black, with a sharp demarcation near the base of the shaft (Fig. 1). A CT scan with oral and IV contrast demonstrated thickening and edema of the scrotum, suprapubic soft tissue, and penis, with asymmetric enlargement of the left corpora. Mild cirrhosis with associated small gastric varices was also noted. No thrombosis, atherosclerosis, or gas or fluid collection was noted. The bladder, prostate, and seminal vesicles were normal.

Figure 1
Uncircumsised, black, and swollen penis with sharp demarcation near the base of the shaft. Also note the 5 cm, indurated, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema on left leg.

A punch biopsy of the leg lesion revealed LCCV with dense fibrin deposition throughout the vessels. Abnormal laboratory data included a mildly elevated WBC count, decreased hemoglobin, thrombocytopenia, mild hyponatremia, low albumin, mildly increased glucose, mild transaminitis, and increased bilirubin. He also had an increased aPTT, elevated ESR, positive hepatitis C PCR and antibodies, positive rheumatoid factor, and high titers of anticardiolipin IgM and anti‐B2GPI IgM.

On hospital day 2, a urological surgery was performed to remove the necrotic penile tissue, including the foreskin, down to the spared tunica albuginea. Pathology studies of the tissue specimens revealed highly vascular subcutaneous tissue with hemorrhage and focal denudation, consistent with necrosis. Following surgery, the patient's platelet count and INR returned to normal levels. No steroids or cytotoxic agents were given. On hospital day 6, the patient developed bilateral leg pain and swelling. Lower extremity doppler ultrasound examination revealed occlusive DVT of the right gastrocnemius, popliteal, and greater saphenous veins, as well thromboses in the left gastrocnemius, soleal, posterior tibial, and greater saphenous veins; thus, enoxaparin therapy was initiated. On hospital day 8, the patient returned to the operating room for a penile tunneling procedure, in which the penis was surgically inserted into the scrotum as an alternative to skin grafting. He recovered well from the surgeries and was discharged on hospital day 11 on oral anticoagulation with warfarin. At follow‐up 1 month after discharge, the patient was doing well and planned for surgery to free his penis from the scrotal sac in 2 months' time.

DISCUSSION

This case illustrates uncommon extrahepatic manifestations of hepatitis C, including leukocytoclastic vasculitis and deep venous thromboses. Our patient, with abnormal LFTs and positive hepatitis C titers, presented with tissue necrosis of the penis and an unidentifiable erythematous lesion on the leg and subsequently developed multiple deep venous thromboses during his hospital course. Initial diagnostic considerations of the penile and skin lesions included fixed drug reaction, trauma, ischemia, infection, arachnid bite, and vasculitis. The patient denied exposure to NSAIDS, antibiotics, anticonvulsants, or anticoagulants, which are commonly reported causes of fixed drug reactions. He denied trauma or spider or bug bites, was nontoxic appearing, afebrile, and had a near‐normal white blood cell count. While awaiting laboratory and biopsy results, we did not initiate pharmacological therapy because of the unknown etiology of the patient's pathology. The patient's workup revealed that his symptoms were most likely secondary to cryoglobulin‐negative hepatitis C infection with leukocytoclastic vasculitis and antiphospholipid antibodies, leading to necrosis of the penile prepucean entity that, to our knowledge, has not been reported.

Leukocytoclastic vasculitis is a complication of many diseases including Henoch‐Schnlein purpura, Wegener's granulomatosis, sepsis, ANCA‐associated vasculitis, SLE, and hepatitis C.14 Leukocytoclastic vasculitis often presents with palpable purpura but may also present with frank necrosis.4 Penile leukocytoclastic vasculitis has been reported in the literature previously5; however, most of these cases involve Wegener's granulomatosis and Henoch‐Schnlein purpura. One case series demonstrated that approximately 1% of patients with hepatitis C develop vasculitis during the course of their illness.19 There has been 1 reported case of penile leukocytoclastic vasculitis, which occurred in a patient with hepatitis C who was found to also have cryoglobulinemia.6 Our patient tested negative for cryoglobulins twice during his hospital stay and also had normal complement levels, which strongly weighs against cryoglobulinemia. One study reported that up to 75% of patients with hepatitis C who develop leukocytoclastic vasculitis will test positive for cryoglobulins6; thus, our patient's presentation with cryoglobulin‐negative leukocytoclastic vasculitis is rare.

Our patient also had a positive titer of anticardiolipin antibodies, which are a subset of APLAs. Antiphospholipid antibodies can be found in autoimmune disease, acute and chronic viral infections, and malignancy.7, 8 Furthermore, APLAs can manifest with arterial and venous thrombosis, and up to 33% of patients with hepatitis C test positive for APLAs.7 The etiology and thrombogenicity of these autoantibodies in the setting of chronic viral hepatitis is still largely unknown, but it has been hypothesized that APLAs may be an autoimmune manifestation of hepatitis C.

Our patient also tested positive for anti‐beta2‐glycoprotien‐1 antibodies, the presence of which may be associated with the occurrence of thrombotic events.9 The presence of these antibodies strengthens the likelihood that this patient's APLAs were pathogenic and likely associated with his skin necrosis as well as his numerous venous thromboses. Previously documented thromboses in patients with hepatitis C and APLAs include avascular bone necrosis, venous thromboembolism, MI, stroke, and cutaneous necrosis.10 There was 1 reported case of a patient with HIV and anticardiolipin antibodies with cutaneous necrosis and testicular thrombosis,10 however, to our knowledge there have been no reported cases of penile necrosis in association with APLAs in a patient with hepatitis C. In this case, treatment with steroids or cytotoxic agents was not warranted because of insufficient evidence to support this practice. However, lifelong anticoagulation with moderate‐intensity warfarin to prevent future thrombosis is indicated.11 These antibodies and their treatment are poorly understood, and further studies are needed to gain insight into both their development and their role in the pathogenesis of disease in patients with viral hepatitis.

In summary, this patient experienced devastating complications of chronic hepatitis C infection, leading to necrosis of the penile prepuce and multiple venous thromboses. This case demonstrates that extrahepatic symptoms of hepatitis C infection, including skin manifestations secondary to leukocytoclastic vasculitis with or without cryglobulinemia, may occur. Furthermore, this case illustrates the increased risk of thrombosis and cutaneous necrosis in patients with chronic hepatitis C infection and associated antiphospholipid antibodies.

Acknowledgements

The authors acknowledge Alan Hunter, MD, Thomas DeLoughery, MD, Brittany Wilson, MD, and Kevin White, MD.

References
  1. Schwaber MJ,Zlotogorski A.Dermatologic manifestations of hepatitis C infection.Int J Dermatol.1997;36:251254.
  2. Ramos‐Casals M,Font J.Extrahepatic manifestations in patients with chronic hepatitis C virus infection.Curr Opin Rheumatol.2005;17:447455.
  3. Dervis E,Serez K.The prevalence of dermatologic manifestations related to chronic hepatitis C virus infection in a study from a single center in Turkey.Acta Dermatovenerol Alp Panonica Adriat.2005;14:9398.
  4. Sunderkotter C,Bonsmann G,Sindrilaru A,Luger T.Management of leukocytoclastic vasculitis.J Dermatolog Treat.2005;16:193206.
  5. Mendéz P,Saeian K,Reddy R, et al.Hepatitis C, cryoglbulinemia, and cutaneous vasculitis associated with unusual and serious manifestations.Am J Gastroenterol.2001;96:24892493.
  6. Cacoub P,Poynard T,Ghillani P, et al.Extrahepatic manifestations of chronic hepatitis C.Arthritis Rheumatism.1999;42:22042212.
  7. Biron C,Andreani H,Blanc P.Prevalence of antiphospholipid antibodies in patients with chronic lever disease related to alcohol or hepatitis C virus: correlation with liver injury.J Lab Clin Med.1998;31:243250.
  8. Khamashta MA,Hughes GRV.Antiphospholipid antibodies and antiphospholipid syndrome.Curr Opin Rheumatol.1995;7:38994.
  9. Yuste JR,Prieto J.Anticardiolipin antibodies in chronic viral hepatitis. Do they have clinical consequences?Eur J Gastroenterol Hepatol.2003;15:717719.
  10. Ramos‐Casals M,Cervera R,Lagrutta M, et al.Clinical features related to antiphospholipid syndrome in patients with chronic viral infections (hepatits C virus/HIV infection): description of 82 cases.CID.2004;38:10091016.
  11. Lim W,Crowther MA,Eikelboom JW.Management of antiphospholipid antibody syndrome: A systematic review.JAMA.2006;295:10501057.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
170-172
Sections
Article PDF
Article PDF

Leukocytoclastic vasculitis (LCCV) and deep venous thrombosis (DVT) are uncommon manifestations of hepatitis C and when seen, are usually associated with cryoglobulinemia. The presence of hepatitis Cassociated antiphospholipid antibodies (APLAs) such as anticardiolipin antibodies may increase the risk of deep venous thrombosis. Hepatitis Cassociated APLAs and LCCV leading to penile necrosis has not previously been reported, to our knowledge.

CASE

A previously healthy 57‐year‐old white man with hepatitis C presented with a 2‐ to 3‐day history of testicular pain and spreading, tender erythema on his left inner thigh. He reported 2 days of testicular and penile swelling and blackening of his penis 1 day prior to admission. He denied feeling ill, fevers, chills, nausea, vomiting, dysuria, hematuria, abdominal, back or penile pain or trauma, unusual sexual practices, or new medications.

His medical history was significant for IV drug use, hepatitis C infection, and hypertension in the remote past. He was in a 2‐year monogamous relationship with his female partner and denied any history of sexually transmitted diseases; however, he did report erectile dysfunction over the last few months. He worked as a bartender and reportedly drank 1 glass of wine per night. He denied tobacco or current IV drug use and did occasionally smoke marijuana. His medications included atenolol, hydrochlorothiazide, fish oil, cottonseed oil, and a multivitamin. He denied use of any herbal supplements or erectile dysfunction medications.

On physical exam he did not appear toxic. Vital signs were temperature of 37.3C, blood pressure of 155/80, pulse of 100, and O2 saturation of 97% on room air. His HEENT, cardiovascular, lung, and abdominal exams were unremarkable. He had a 5‐cm indurated, dark, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema, and an erythematous and indurated suprapubic region. His uncircumcised penis was swollen and black, with a sharp demarcation near the base of the shaft (Fig. 1). A CT scan with oral and IV contrast demonstrated thickening and edema of the scrotum, suprapubic soft tissue, and penis, with asymmetric enlargement of the left corpora. Mild cirrhosis with associated small gastric varices was also noted. No thrombosis, atherosclerosis, or gas or fluid collection was noted. The bladder, prostate, and seminal vesicles were normal.

Figure 1
Uncircumsised, black, and swollen penis with sharp demarcation near the base of the shaft. Also note the 5 cm, indurated, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema on left leg.

A punch biopsy of the leg lesion revealed LCCV with dense fibrin deposition throughout the vessels. Abnormal laboratory data included a mildly elevated WBC count, decreased hemoglobin, thrombocytopenia, mild hyponatremia, low albumin, mildly increased glucose, mild transaminitis, and increased bilirubin. He also had an increased aPTT, elevated ESR, positive hepatitis C PCR and antibodies, positive rheumatoid factor, and high titers of anticardiolipin IgM and anti‐B2GPI IgM.

On hospital day 2, a urological surgery was performed to remove the necrotic penile tissue, including the foreskin, down to the spared tunica albuginea. Pathology studies of the tissue specimens revealed highly vascular subcutaneous tissue with hemorrhage and focal denudation, consistent with necrosis. Following surgery, the patient's platelet count and INR returned to normal levels. No steroids or cytotoxic agents were given. On hospital day 6, the patient developed bilateral leg pain and swelling. Lower extremity doppler ultrasound examination revealed occlusive DVT of the right gastrocnemius, popliteal, and greater saphenous veins, as well thromboses in the left gastrocnemius, soleal, posterior tibial, and greater saphenous veins; thus, enoxaparin therapy was initiated. On hospital day 8, the patient returned to the operating room for a penile tunneling procedure, in which the penis was surgically inserted into the scrotum as an alternative to skin grafting. He recovered well from the surgeries and was discharged on hospital day 11 on oral anticoagulation with warfarin. At follow‐up 1 month after discharge, the patient was doing well and planned for surgery to free his penis from the scrotal sac in 2 months' time.

DISCUSSION

This case illustrates uncommon extrahepatic manifestations of hepatitis C, including leukocytoclastic vasculitis and deep venous thromboses. Our patient, with abnormal LFTs and positive hepatitis C titers, presented with tissue necrosis of the penis and an unidentifiable erythematous lesion on the leg and subsequently developed multiple deep venous thromboses during his hospital course. Initial diagnostic considerations of the penile and skin lesions included fixed drug reaction, trauma, ischemia, infection, arachnid bite, and vasculitis. The patient denied exposure to NSAIDS, antibiotics, anticonvulsants, or anticoagulants, which are commonly reported causes of fixed drug reactions. He denied trauma or spider or bug bites, was nontoxic appearing, afebrile, and had a near‐normal white blood cell count. While awaiting laboratory and biopsy results, we did not initiate pharmacological therapy because of the unknown etiology of the patient's pathology. The patient's workup revealed that his symptoms were most likely secondary to cryoglobulin‐negative hepatitis C infection with leukocytoclastic vasculitis and antiphospholipid antibodies, leading to necrosis of the penile prepucean entity that, to our knowledge, has not been reported.

Leukocytoclastic vasculitis is a complication of many diseases including Henoch‐Schnlein purpura, Wegener's granulomatosis, sepsis, ANCA‐associated vasculitis, SLE, and hepatitis C.14 Leukocytoclastic vasculitis often presents with palpable purpura but may also present with frank necrosis.4 Penile leukocytoclastic vasculitis has been reported in the literature previously5; however, most of these cases involve Wegener's granulomatosis and Henoch‐Schnlein purpura. One case series demonstrated that approximately 1% of patients with hepatitis C develop vasculitis during the course of their illness.19 There has been 1 reported case of penile leukocytoclastic vasculitis, which occurred in a patient with hepatitis C who was found to also have cryoglobulinemia.6 Our patient tested negative for cryoglobulins twice during his hospital stay and also had normal complement levels, which strongly weighs against cryoglobulinemia. One study reported that up to 75% of patients with hepatitis C who develop leukocytoclastic vasculitis will test positive for cryoglobulins6; thus, our patient's presentation with cryoglobulin‐negative leukocytoclastic vasculitis is rare.

Our patient also had a positive titer of anticardiolipin antibodies, which are a subset of APLAs. Antiphospholipid antibodies can be found in autoimmune disease, acute and chronic viral infections, and malignancy.7, 8 Furthermore, APLAs can manifest with arterial and venous thrombosis, and up to 33% of patients with hepatitis C test positive for APLAs.7 The etiology and thrombogenicity of these autoantibodies in the setting of chronic viral hepatitis is still largely unknown, but it has been hypothesized that APLAs may be an autoimmune manifestation of hepatitis C.

Our patient also tested positive for anti‐beta2‐glycoprotien‐1 antibodies, the presence of which may be associated with the occurrence of thrombotic events.9 The presence of these antibodies strengthens the likelihood that this patient's APLAs were pathogenic and likely associated with his skin necrosis as well as his numerous venous thromboses. Previously documented thromboses in patients with hepatitis C and APLAs include avascular bone necrosis, venous thromboembolism, MI, stroke, and cutaneous necrosis.10 There was 1 reported case of a patient with HIV and anticardiolipin antibodies with cutaneous necrosis and testicular thrombosis,10 however, to our knowledge there have been no reported cases of penile necrosis in association with APLAs in a patient with hepatitis C. In this case, treatment with steroids or cytotoxic agents was not warranted because of insufficient evidence to support this practice. However, lifelong anticoagulation with moderate‐intensity warfarin to prevent future thrombosis is indicated.11 These antibodies and their treatment are poorly understood, and further studies are needed to gain insight into both their development and their role in the pathogenesis of disease in patients with viral hepatitis.

In summary, this patient experienced devastating complications of chronic hepatitis C infection, leading to necrosis of the penile prepuce and multiple venous thromboses. This case demonstrates that extrahepatic symptoms of hepatitis C infection, including skin manifestations secondary to leukocytoclastic vasculitis with or without cryglobulinemia, may occur. Furthermore, this case illustrates the increased risk of thrombosis and cutaneous necrosis in patients with chronic hepatitis C infection and associated antiphospholipid antibodies.

Acknowledgements

The authors acknowledge Alan Hunter, MD, Thomas DeLoughery, MD, Brittany Wilson, MD, and Kevin White, MD.

Leukocytoclastic vasculitis (LCCV) and deep venous thrombosis (DVT) are uncommon manifestations of hepatitis C and when seen, are usually associated with cryoglobulinemia. The presence of hepatitis Cassociated antiphospholipid antibodies (APLAs) such as anticardiolipin antibodies may increase the risk of deep venous thrombosis. Hepatitis Cassociated APLAs and LCCV leading to penile necrosis has not previously been reported, to our knowledge.

CASE

A previously healthy 57‐year‐old white man with hepatitis C presented with a 2‐ to 3‐day history of testicular pain and spreading, tender erythema on his left inner thigh. He reported 2 days of testicular and penile swelling and blackening of his penis 1 day prior to admission. He denied feeling ill, fevers, chills, nausea, vomiting, dysuria, hematuria, abdominal, back or penile pain or trauma, unusual sexual practices, or new medications.

His medical history was significant for IV drug use, hepatitis C infection, and hypertension in the remote past. He was in a 2‐year monogamous relationship with his female partner and denied any history of sexually transmitted diseases; however, he did report erectile dysfunction over the last few months. He worked as a bartender and reportedly drank 1 glass of wine per night. He denied tobacco or current IV drug use and did occasionally smoke marijuana. His medications included atenolol, hydrochlorothiazide, fish oil, cottonseed oil, and a multivitamin. He denied use of any herbal supplements or erectile dysfunction medications.

On physical exam he did not appear toxic. Vital signs were temperature of 37.3C, blood pressure of 155/80, pulse of 100, and O2 saturation of 97% on room air. His HEENT, cardiovascular, lung, and abdominal exams were unremarkable. He had a 5‐cm indurated, dark, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema, and an erythematous and indurated suprapubic region. His uncircumcised penis was swollen and black, with a sharp demarcation near the base of the shaft (Fig. 1). A CT scan with oral and IV contrast demonstrated thickening and edema of the scrotum, suprapubic soft tissue, and penis, with asymmetric enlargement of the left corpora. Mild cirrhosis with associated small gastric varices was also noted. No thrombosis, atherosclerosis, or gas or fluid collection was noted. The bladder, prostate, and seminal vesicles were normal.

Figure 1
Uncircumsised, black, and swollen penis with sharp demarcation near the base of the shaft. Also note the 5 cm, indurated, erythematous lesion on his left thigh, surrounded by diffuse tracking erythema on left leg.

A punch biopsy of the leg lesion revealed LCCV with dense fibrin deposition throughout the vessels. Abnormal laboratory data included a mildly elevated WBC count, decreased hemoglobin, thrombocytopenia, mild hyponatremia, low albumin, mildly increased glucose, mild transaminitis, and increased bilirubin. He also had an increased aPTT, elevated ESR, positive hepatitis C PCR and antibodies, positive rheumatoid factor, and high titers of anticardiolipin IgM and anti‐B2GPI IgM.

On hospital day 2, a urological surgery was performed to remove the necrotic penile tissue, including the foreskin, down to the spared tunica albuginea. Pathology studies of the tissue specimens revealed highly vascular subcutaneous tissue with hemorrhage and focal denudation, consistent with necrosis. Following surgery, the patient's platelet count and INR returned to normal levels. No steroids or cytotoxic agents were given. On hospital day 6, the patient developed bilateral leg pain and swelling. Lower extremity doppler ultrasound examination revealed occlusive DVT of the right gastrocnemius, popliteal, and greater saphenous veins, as well thromboses in the left gastrocnemius, soleal, posterior tibial, and greater saphenous veins; thus, enoxaparin therapy was initiated. On hospital day 8, the patient returned to the operating room for a penile tunneling procedure, in which the penis was surgically inserted into the scrotum as an alternative to skin grafting. He recovered well from the surgeries and was discharged on hospital day 11 on oral anticoagulation with warfarin. At follow‐up 1 month after discharge, the patient was doing well and planned for surgery to free his penis from the scrotal sac in 2 months' time.

DISCUSSION

This case illustrates uncommon extrahepatic manifestations of hepatitis C, including leukocytoclastic vasculitis and deep venous thromboses. Our patient, with abnormal LFTs and positive hepatitis C titers, presented with tissue necrosis of the penis and an unidentifiable erythematous lesion on the leg and subsequently developed multiple deep venous thromboses during his hospital course. Initial diagnostic considerations of the penile and skin lesions included fixed drug reaction, trauma, ischemia, infection, arachnid bite, and vasculitis. The patient denied exposure to NSAIDS, antibiotics, anticonvulsants, or anticoagulants, which are commonly reported causes of fixed drug reactions. He denied trauma or spider or bug bites, was nontoxic appearing, afebrile, and had a near‐normal white blood cell count. While awaiting laboratory and biopsy results, we did not initiate pharmacological therapy because of the unknown etiology of the patient's pathology. The patient's workup revealed that his symptoms were most likely secondary to cryoglobulin‐negative hepatitis C infection with leukocytoclastic vasculitis and antiphospholipid antibodies, leading to necrosis of the penile prepucean entity that, to our knowledge, has not been reported.

Leukocytoclastic vasculitis is a complication of many diseases including Henoch‐Schnlein purpura, Wegener's granulomatosis, sepsis, ANCA‐associated vasculitis, SLE, and hepatitis C.14 Leukocytoclastic vasculitis often presents with palpable purpura but may also present with frank necrosis.4 Penile leukocytoclastic vasculitis has been reported in the literature previously5; however, most of these cases involve Wegener's granulomatosis and Henoch‐Schnlein purpura. One case series demonstrated that approximately 1% of patients with hepatitis C develop vasculitis during the course of their illness.19 There has been 1 reported case of penile leukocytoclastic vasculitis, which occurred in a patient with hepatitis C who was found to also have cryoglobulinemia.6 Our patient tested negative for cryoglobulins twice during his hospital stay and also had normal complement levels, which strongly weighs against cryoglobulinemia. One study reported that up to 75% of patients with hepatitis C who develop leukocytoclastic vasculitis will test positive for cryoglobulins6; thus, our patient's presentation with cryoglobulin‐negative leukocytoclastic vasculitis is rare.

Our patient also had a positive titer of anticardiolipin antibodies, which are a subset of APLAs. Antiphospholipid antibodies can be found in autoimmune disease, acute and chronic viral infections, and malignancy.7, 8 Furthermore, APLAs can manifest with arterial and venous thrombosis, and up to 33% of patients with hepatitis C test positive for APLAs.7 The etiology and thrombogenicity of these autoantibodies in the setting of chronic viral hepatitis is still largely unknown, but it has been hypothesized that APLAs may be an autoimmune manifestation of hepatitis C.

Our patient also tested positive for anti‐beta2‐glycoprotien‐1 antibodies, the presence of which may be associated with the occurrence of thrombotic events.9 The presence of these antibodies strengthens the likelihood that this patient's APLAs were pathogenic and likely associated with his skin necrosis as well as his numerous venous thromboses. Previously documented thromboses in patients with hepatitis C and APLAs include avascular bone necrosis, venous thromboembolism, MI, stroke, and cutaneous necrosis.10 There was 1 reported case of a patient with HIV and anticardiolipin antibodies with cutaneous necrosis and testicular thrombosis,10 however, to our knowledge there have been no reported cases of penile necrosis in association with APLAs in a patient with hepatitis C. In this case, treatment with steroids or cytotoxic agents was not warranted because of insufficient evidence to support this practice. However, lifelong anticoagulation with moderate‐intensity warfarin to prevent future thrombosis is indicated.11 These antibodies and their treatment are poorly understood, and further studies are needed to gain insight into both their development and their role in the pathogenesis of disease in patients with viral hepatitis.

In summary, this patient experienced devastating complications of chronic hepatitis C infection, leading to necrosis of the penile prepuce and multiple venous thromboses. This case demonstrates that extrahepatic symptoms of hepatitis C infection, including skin manifestations secondary to leukocytoclastic vasculitis with or without cryglobulinemia, may occur. Furthermore, this case illustrates the increased risk of thrombosis and cutaneous necrosis in patients with chronic hepatitis C infection and associated antiphospholipid antibodies.

Acknowledgements

The authors acknowledge Alan Hunter, MD, Thomas DeLoughery, MD, Brittany Wilson, MD, and Kevin White, MD.

References
  1. Schwaber MJ,Zlotogorski A.Dermatologic manifestations of hepatitis C infection.Int J Dermatol.1997;36:251254.
  2. Ramos‐Casals M,Font J.Extrahepatic manifestations in patients with chronic hepatitis C virus infection.Curr Opin Rheumatol.2005;17:447455.
  3. Dervis E,Serez K.The prevalence of dermatologic manifestations related to chronic hepatitis C virus infection in a study from a single center in Turkey.Acta Dermatovenerol Alp Panonica Adriat.2005;14:9398.
  4. Sunderkotter C,Bonsmann G,Sindrilaru A,Luger T.Management of leukocytoclastic vasculitis.J Dermatolog Treat.2005;16:193206.
  5. Mendéz P,Saeian K,Reddy R, et al.Hepatitis C, cryoglbulinemia, and cutaneous vasculitis associated with unusual and serious manifestations.Am J Gastroenterol.2001;96:24892493.
  6. Cacoub P,Poynard T,Ghillani P, et al.Extrahepatic manifestations of chronic hepatitis C.Arthritis Rheumatism.1999;42:22042212.
  7. Biron C,Andreani H,Blanc P.Prevalence of antiphospholipid antibodies in patients with chronic lever disease related to alcohol or hepatitis C virus: correlation with liver injury.J Lab Clin Med.1998;31:243250.
  8. Khamashta MA,Hughes GRV.Antiphospholipid antibodies and antiphospholipid syndrome.Curr Opin Rheumatol.1995;7:38994.
  9. Yuste JR,Prieto J.Anticardiolipin antibodies in chronic viral hepatitis. Do they have clinical consequences?Eur J Gastroenterol Hepatol.2003;15:717719.
  10. Ramos‐Casals M,Cervera R,Lagrutta M, et al.Clinical features related to antiphospholipid syndrome in patients with chronic viral infections (hepatits C virus/HIV infection): description of 82 cases.CID.2004;38:10091016.
  11. Lim W,Crowther MA,Eikelboom JW.Management of antiphospholipid antibody syndrome: A systematic review.JAMA.2006;295:10501057.
References
  1. Schwaber MJ,Zlotogorski A.Dermatologic manifestations of hepatitis C infection.Int J Dermatol.1997;36:251254.
  2. Ramos‐Casals M,Font J.Extrahepatic manifestations in patients with chronic hepatitis C virus infection.Curr Opin Rheumatol.2005;17:447455.
  3. Dervis E,Serez K.The prevalence of dermatologic manifestations related to chronic hepatitis C virus infection in a study from a single center in Turkey.Acta Dermatovenerol Alp Panonica Adriat.2005;14:9398.
  4. Sunderkotter C,Bonsmann G,Sindrilaru A,Luger T.Management of leukocytoclastic vasculitis.J Dermatolog Treat.2005;16:193206.
  5. Mendéz P,Saeian K,Reddy R, et al.Hepatitis C, cryoglbulinemia, and cutaneous vasculitis associated with unusual and serious manifestations.Am J Gastroenterol.2001;96:24892493.
  6. Cacoub P,Poynard T,Ghillani P, et al.Extrahepatic manifestations of chronic hepatitis C.Arthritis Rheumatism.1999;42:22042212.
  7. Biron C,Andreani H,Blanc P.Prevalence of antiphospholipid antibodies in patients with chronic lever disease related to alcohol or hepatitis C virus: correlation with liver injury.J Lab Clin Med.1998;31:243250.
  8. Khamashta MA,Hughes GRV.Antiphospholipid antibodies and antiphospholipid syndrome.Curr Opin Rheumatol.1995;7:38994.
  9. Yuste JR,Prieto J.Anticardiolipin antibodies in chronic viral hepatitis. Do they have clinical consequences?Eur J Gastroenterol Hepatol.2003;15:717719.
  10. Ramos‐Casals M,Cervera R,Lagrutta M, et al.Clinical features related to antiphospholipid syndrome in patients with chronic viral infections (hepatits C virus/HIV infection): description of 82 cases.CID.2004;38:10091016.
  11. Lim W,Crowther MA,Eikelboom JW.Management of antiphospholipid antibody syndrome: A systematic review.JAMA.2006;295:10501057.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
170-172
Page Number
170-172
Article Type
Display Headline
Hepatitis C–associated leukocytoclastic vasculitis with anticardiolipin antibodies causing penile necrosis and deep venous thrombosis in the absence of cryoglobulinemia
Display Headline
Hepatitis C–associated leukocytoclastic vasculitis with anticardiolipin antibodies causing penile necrosis and deep venous thrombosis in the absence of cryoglobulinemia
Sections
Article Source
Copyright © 2008 Society of Hospital Medicine
Disallow All Ads
Content Gating
Gated (full article locked unless allowed per User)
Gating Strategy
First Peek Free
Article PDF Media

Unusual Cardiac Rhythm Device Infection

Article Type
Changed
Mon, 01/02/2017 - 19:34
Display Headline
Not the usual cardiac rhythm device infection: A fastidious pathogen with several teaching points

A 35‐year‐old woman with a history of hypertrophic cardiomyopathy survived a ventricular fibrillation cardiac arrest. She subsequently underwent placement of a single, transvenous right ventricular lead implantable cardioverter defibrillator (ICD) system. The lead was an active fixation model, and the generator was placed in a left infraclavicular subcutaneous pocket.

Six months later, she presented with a 5‐week illness consisting of productive cough, fever, anorexia, and myalgias. Physical exam was notable for a rapid heart rate with a variable S1. Labs were notable for a leukocytosis with predominance of neutrophils. An ECG demonstrated atrial fibrillation.

A transesophageal echocardiogram (TEE) was performed in anticipation of a cardioversion for atrial fibrillation. The TEE demonstrated a mass in the right atrium that was attached to the ICD lead, with possible involvement of the tricuspid valve leaflets (Fig. 1). The mass, characterized as multiple confluent bulky segments, was freely mobile and measured about 1.8 cm at its greatest dimension. Therefore, cardioversion was not performed. Within 72 hours, multiple aerobic BACTEC blood cultures identified Haemophilus parainfluenzae, beta lactamase negative. The patient underwent a median sternotomy to remove the ICD lead and generator (Fig. 2). The septal leaflet of the tricuspid valve was debrided. The patient was treated with a prolonged course of ceftriaxone without clinical or microbiologic signs of persistent infection.

Figure 1
A mid‐esophageal echo demonstrates an echodense area with acoustic shadowing in the right atrium consistent with the ICD lead (white arrowhead). Attached to the ICD lead is a multi‐lobulated mass (yellow arrowhead). Red arrowhead identifies the tricuspid valve leaflets.
Figure 2
Photograph of the entire explanted ICD system. The yellow arrowhead depicts the area of suppurative infection, also visualized on TEE. The white arrow depicts the active fixation screw. The white arrowheads depict where the lead was cut during surgical removal.

DISCUSSION

Research has demonstrated that the rise in cardiac device infections is greater than the rise in the rate of implantation of these devices over the same time period.1 Most infections with cardiac rhythm devices are primary infections, which begin at the pocket and frequently present around generator placement or exchange.2, 3 Because the intravascular leads are continuous to the pocket, there remains a risk for lead and systemic infection.

This case illustrates 2 important concepts. Secondary device infections, which usually result from bacteria originating at a site other than the generator pocket, are less common and tend to involve the intravascular lead.2, 4 Seeding of the intravascular lead frequently occurs with either Staphylococcus aureus or coagulase‐negative Staphylococci.2, 4 Therefore, H. parainfluenzae, a gram‐negative bacillus that can be part of the normal flora of the upper respiratory tract, is not a commonly encountered pathogen for secondary lead infections. Given the respiratory tract symptoms, this was likely the source in this patient. When the lead, generator, or both are infected, this necessitates removal of the entire system.

Furthermore, H. parainfluenzae is categorized with the HACEK organisms (Haemophilus species including H. aphrophilus, H. parainfluenzae, and H. paraphrophilus; Actinobacillus actinomycetemcomitans; Cardiobacterium hominis; Eikenella corrodens; Kingella kingae), a group of fastidious gram‐negative bacilli historically thought to be a common cause of culture‐negative endocarditis. Recent retrospective studies suggest that a prolonged incubation for HACEK organisms is generally not necessary because of advances in culture media and automated blood culture systems.5, 6 As shown in this case, the organism was cultured in less than 72 hours. Therefore, HACEK organisms, when used with modern culture media in addition to automated blood culture systems, are unlikely to be causes of true culture‐negative device or valve infection, provided the patient has had no recent exposure to antibiotics and adequate blood cultures have been obtained. If a cardiac device infection is suspected, blood cultures obtained before commencement of antibiotics and adequate sampling of blood for culture are more likely to identify the pathogen than are blood cultures from prolonged incubation.

References
  1. Cabell CH,Heidenreich PA,Chu VH, et al.Increasing rates of cardiac device infections among Medicare beneficiaries: 1990–1999.Am Heart J.2004;147:582586.
  2. Karchmer AW,Longworth DL.Infections of intracardiac devices. Cardiol Clin. 2003; 21: 253271
  3. Dy Chua J,Wilkoff BL,Lee I,Juratli N,Longworth DL,Gordon SM.Diagnosis and management of infections involving implantable electrophysiologic cardiac devices.Ann Intern Med.2000;133:604608.
  4. Chamis AL,Peterson GE,Cabell CH, et al.Staphylococcus aureus bacteremia in patients with permanent pacemakers or implantable cardioverter‐defibrillators.Circulation.2001;104:10291033.
  5. Petti CA,Bhally HS,Weinstein MP, et al.Utility of extended blood culture incubation for isolation of Haemophilus, Actinobacillus, Cardiobacterium, Eikenella and Kingella organisms: a retrospective multicenter evaluation.J Clin Microbiol.2006;44(1):257259.
  6. Baron EJ,Scott JD,Tompkins LS.Prolonged incubation and extensive subculturing do not increase recovery of clinically significant microorganisms from standard automated blood cultures.Clin Infect Dis.2005;41:16771680.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
173-175
Legacy Keywords
Haemophilus parainfluenzae, implantable cardioverter defibrillator (ICD), cardiac rhythm device infection
Sections
Article PDF
Article PDF

A 35‐year‐old woman with a history of hypertrophic cardiomyopathy survived a ventricular fibrillation cardiac arrest. She subsequently underwent placement of a single, transvenous right ventricular lead implantable cardioverter defibrillator (ICD) system. The lead was an active fixation model, and the generator was placed in a left infraclavicular subcutaneous pocket.

Six months later, she presented with a 5‐week illness consisting of productive cough, fever, anorexia, and myalgias. Physical exam was notable for a rapid heart rate with a variable S1. Labs were notable for a leukocytosis with predominance of neutrophils. An ECG demonstrated atrial fibrillation.

A transesophageal echocardiogram (TEE) was performed in anticipation of a cardioversion for atrial fibrillation. The TEE demonstrated a mass in the right atrium that was attached to the ICD lead, with possible involvement of the tricuspid valve leaflets (Fig. 1). The mass, characterized as multiple confluent bulky segments, was freely mobile and measured about 1.8 cm at its greatest dimension. Therefore, cardioversion was not performed. Within 72 hours, multiple aerobic BACTEC blood cultures identified Haemophilus parainfluenzae, beta lactamase negative. The patient underwent a median sternotomy to remove the ICD lead and generator (Fig. 2). The septal leaflet of the tricuspid valve was debrided. The patient was treated with a prolonged course of ceftriaxone without clinical or microbiologic signs of persistent infection.

Figure 1
A mid‐esophageal echo demonstrates an echodense area with acoustic shadowing in the right atrium consistent with the ICD lead (white arrowhead). Attached to the ICD lead is a multi‐lobulated mass (yellow arrowhead). Red arrowhead identifies the tricuspid valve leaflets.
Figure 2
Photograph of the entire explanted ICD system. The yellow arrowhead depicts the area of suppurative infection, also visualized on TEE. The white arrow depicts the active fixation screw. The white arrowheads depict where the lead was cut during surgical removal.

DISCUSSION

Research has demonstrated that the rise in cardiac device infections is greater than the rise in the rate of implantation of these devices over the same time period.1 Most infections with cardiac rhythm devices are primary infections, which begin at the pocket and frequently present around generator placement or exchange.2, 3 Because the intravascular leads are continuous to the pocket, there remains a risk for lead and systemic infection.

This case illustrates 2 important concepts. Secondary device infections, which usually result from bacteria originating at a site other than the generator pocket, are less common and tend to involve the intravascular lead.2, 4 Seeding of the intravascular lead frequently occurs with either Staphylococcus aureus or coagulase‐negative Staphylococci.2, 4 Therefore, H. parainfluenzae, a gram‐negative bacillus that can be part of the normal flora of the upper respiratory tract, is not a commonly encountered pathogen for secondary lead infections. Given the respiratory tract symptoms, this was likely the source in this patient. When the lead, generator, or both are infected, this necessitates removal of the entire system.

Furthermore, H. parainfluenzae is categorized with the HACEK organisms (Haemophilus species including H. aphrophilus, H. parainfluenzae, and H. paraphrophilus; Actinobacillus actinomycetemcomitans; Cardiobacterium hominis; Eikenella corrodens; Kingella kingae), a group of fastidious gram‐negative bacilli historically thought to be a common cause of culture‐negative endocarditis. Recent retrospective studies suggest that a prolonged incubation for HACEK organisms is generally not necessary because of advances in culture media and automated blood culture systems.5, 6 As shown in this case, the organism was cultured in less than 72 hours. Therefore, HACEK organisms, when used with modern culture media in addition to automated blood culture systems, are unlikely to be causes of true culture‐negative device or valve infection, provided the patient has had no recent exposure to antibiotics and adequate blood cultures have been obtained. If a cardiac device infection is suspected, blood cultures obtained before commencement of antibiotics and adequate sampling of blood for culture are more likely to identify the pathogen than are blood cultures from prolonged incubation.

A 35‐year‐old woman with a history of hypertrophic cardiomyopathy survived a ventricular fibrillation cardiac arrest. She subsequently underwent placement of a single, transvenous right ventricular lead implantable cardioverter defibrillator (ICD) system. The lead was an active fixation model, and the generator was placed in a left infraclavicular subcutaneous pocket.

Six months later, she presented with a 5‐week illness consisting of productive cough, fever, anorexia, and myalgias. Physical exam was notable for a rapid heart rate with a variable S1. Labs were notable for a leukocytosis with predominance of neutrophils. An ECG demonstrated atrial fibrillation.

A transesophageal echocardiogram (TEE) was performed in anticipation of a cardioversion for atrial fibrillation. The TEE demonstrated a mass in the right atrium that was attached to the ICD lead, with possible involvement of the tricuspid valve leaflets (Fig. 1). The mass, characterized as multiple confluent bulky segments, was freely mobile and measured about 1.8 cm at its greatest dimension. Therefore, cardioversion was not performed. Within 72 hours, multiple aerobic BACTEC blood cultures identified Haemophilus parainfluenzae, beta lactamase negative. The patient underwent a median sternotomy to remove the ICD lead and generator (Fig. 2). The septal leaflet of the tricuspid valve was debrided. The patient was treated with a prolonged course of ceftriaxone without clinical or microbiologic signs of persistent infection.

Figure 1
A mid‐esophageal echo demonstrates an echodense area with acoustic shadowing in the right atrium consistent with the ICD lead (white arrowhead). Attached to the ICD lead is a multi‐lobulated mass (yellow arrowhead). Red arrowhead identifies the tricuspid valve leaflets.
Figure 2
Photograph of the entire explanted ICD system. The yellow arrowhead depicts the area of suppurative infection, also visualized on TEE. The white arrow depicts the active fixation screw. The white arrowheads depict where the lead was cut during surgical removal.

DISCUSSION

Research has demonstrated that the rise in cardiac device infections is greater than the rise in the rate of implantation of these devices over the same time period.1 Most infections with cardiac rhythm devices are primary infections, which begin at the pocket and frequently present around generator placement or exchange.2, 3 Because the intravascular leads are continuous to the pocket, there remains a risk for lead and systemic infection.

This case illustrates 2 important concepts. Secondary device infections, which usually result from bacteria originating at a site other than the generator pocket, are less common and tend to involve the intravascular lead.2, 4 Seeding of the intravascular lead frequently occurs with either Staphylococcus aureus or coagulase‐negative Staphylococci.2, 4 Therefore, H. parainfluenzae, a gram‐negative bacillus that can be part of the normal flora of the upper respiratory tract, is not a commonly encountered pathogen for secondary lead infections. Given the respiratory tract symptoms, this was likely the source in this patient. When the lead, generator, or both are infected, this necessitates removal of the entire system.

Furthermore, H. parainfluenzae is categorized with the HACEK organisms (Haemophilus species including H. aphrophilus, H. parainfluenzae, and H. paraphrophilus; Actinobacillus actinomycetemcomitans; Cardiobacterium hominis; Eikenella corrodens; Kingella kingae), a group of fastidious gram‐negative bacilli historically thought to be a common cause of culture‐negative endocarditis. Recent retrospective studies suggest that a prolonged incubation for HACEK organisms is generally not necessary because of advances in culture media and automated blood culture systems.5, 6 As shown in this case, the organism was cultured in less than 72 hours. Therefore, HACEK organisms, when used with modern culture media in addition to automated blood culture systems, are unlikely to be causes of true culture‐negative device or valve infection, provided the patient has had no recent exposure to antibiotics and adequate blood cultures have been obtained. If a cardiac device infection is suspected, blood cultures obtained before commencement of antibiotics and adequate sampling of blood for culture are more likely to identify the pathogen than are blood cultures from prolonged incubation.

References
  1. Cabell CH,Heidenreich PA,Chu VH, et al.Increasing rates of cardiac device infections among Medicare beneficiaries: 1990–1999.Am Heart J.2004;147:582586.
  2. Karchmer AW,Longworth DL.Infections of intracardiac devices. Cardiol Clin. 2003; 21: 253271
  3. Dy Chua J,Wilkoff BL,Lee I,Juratli N,Longworth DL,Gordon SM.Diagnosis and management of infections involving implantable electrophysiologic cardiac devices.Ann Intern Med.2000;133:604608.
  4. Chamis AL,Peterson GE,Cabell CH, et al.Staphylococcus aureus bacteremia in patients with permanent pacemakers or implantable cardioverter‐defibrillators.Circulation.2001;104:10291033.
  5. Petti CA,Bhally HS,Weinstein MP, et al.Utility of extended blood culture incubation for isolation of Haemophilus, Actinobacillus, Cardiobacterium, Eikenella and Kingella organisms: a retrospective multicenter evaluation.J Clin Microbiol.2006;44(1):257259.
  6. Baron EJ,Scott JD,Tompkins LS.Prolonged incubation and extensive subculturing do not increase recovery of clinically significant microorganisms from standard automated blood cultures.Clin Infect Dis.2005;41:16771680.
References
  1. Cabell CH,Heidenreich PA,Chu VH, et al.Increasing rates of cardiac device infections among Medicare beneficiaries: 1990–1999.Am Heart J.2004;147:582586.
  2. Karchmer AW,Longworth DL.Infections of intracardiac devices. Cardiol Clin. 2003; 21: 253271
  3. Dy Chua J,Wilkoff BL,Lee I,Juratli N,Longworth DL,Gordon SM.Diagnosis and management of infections involving implantable electrophysiologic cardiac devices.Ann Intern Med.2000;133:604608.
  4. Chamis AL,Peterson GE,Cabell CH, et al.Staphylococcus aureus bacteremia in patients with permanent pacemakers or implantable cardioverter‐defibrillators.Circulation.2001;104:10291033.
  5. Petti CA,Bhally HS,Weinstein MP, et al.Utility of extended blood culture incubation for isolation of Haemophilus, Actinobacillus, Cardiobacterium, Eikenella and Kingella organisms: a retrospective multicenter evaluation.J Clin Microbiol.2006;44(1):257259.
  6. Baron EJ,Scott JD,Tompkins LS.Prolonged incubation and extensive subculturing do not increase recovery of clinically significant microorganisms from standard automated blood cultures.Clin Infect Dis.2005;41:16771680.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
173-175
Page Number
173-175
Article Type
Display Headline
Not the usual cardiac rhythm device infection: A fastidious pathogen with several teaching points
Display Headline
Not the usual cardiac rhythm device infection: A fastidious pathogen with several teaching points
Legacy Keywords
Haemophilus parainfluenzae, implantable cardioverter defibrillator (ICD), cardiac rhythm device infection
Legacy Keywords
Haemophilus parainfluenzae, implantable cardioverter defibrillator (ICD), cardiac rhythm device infection
Sections
Article Source
Copyright © 2008 Society of Hospital Medicine
Disallow All Ads
Correspondence Location
Division of Cardiology, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356422, Seattle, WA 98195‐6422
Content Gating
Gated (full article locked unless allowed per User)
Gating Strategy
First Peek Free
Article PDF Media

Inappropriate Hospital Prescribing

Article Type
Changed
Sun, 05/28/2017 - 22:19
Display Headline
Potentially inappropriate medication use in hospitalized elders

Medications can be considered inappropriate when their risk outweighs their benefit. The Beers list1 identifies medications that should be avoided in persons 65 years or older because they are ineffective or pose an unnecessarily high risk or because a safer alternative is available. Initially developed in 1991, the list has gained wide acceptance and has been updated twice.2, 3 In July 1999 it was adopted by the Centers for Medicare & Medicaid Services (CMS) for nursing home regulation, and in 2006 the National Committee on Quality Assurance adopted a modified version as a Health Plan Employer Data and Information Set (HEDIS) measure of quality of care for older Americans.4

A number of studies have demonstrated that inappropriate prescribing is common in the ambulatory setting,57 in nursing homes,8, 9 and in emergency departments10, 11 and that exposure to inappropriate medications is associated with increased risk of adverse drug reactions12 and hospitalization.13, 14 Initial studies of hospitalized patients1517 suggest that potentially inappropriate prescribing is also common among elderly inpatients and that reducing the misuse of psychotropic medications can prevent falls.18 We report on the incidence of and risk factors associated with potentially inappropriate prescribing in a large sample of hospitalized elders.

METHODS

Patients

We conducted a retrospective cohort study using data from 384 hospitals participating in Perspective (Premier, Inc., Charlotte, NC), a database developed for measuring quality and health care utilization. Participating hospitals represent all regions of the United States and are primarily small‐ to medium‐sized nonteaching hospitals most of which are in urban areas. Premier collects data elements from participating hospitals via a custom data extract from hospitals' decision support system. Hospitals aggregate the data elements into their decision support systems from multiple information technology systems including billing, medical records, pharmacy, and laboratory systems. In addition to the information contained in the standard hospital discharge file, Perspective includes a date‐stamped log of all billed items, including medications with dose and quantity, for individual patients.

We included patients at least 65 years old admitted between September 1, 2002, and June 30, 2005, with a principal diagnosis of acute myocardial infarction, chronic obstructive pulmonary disease, chest pain, community‐acquired pneumonia, congestive heart failure, ischemic stroke, or urinary tract infection. International Classification of Diseases, Ninth Revision (ICD‐9‐CM) codes were used to identify diagnoses. Patients cared for by an attending physician with a surgical specialty were excluded. The study protocol was approved by the institutional review board of Baystate Medical Center.

Data Elements

For each patient, Perspective contains fields for age, sex, race, marital status, insurance status, principal diagnosis, comorbidities, and specialty of the attending physician. Comorbidities were identified from ICD‐9‐CM secondary diagnosis codes and APR‐DRGs using Healthcare Cost and Utilization Project Comorbidity Software, version 3.1, based on the work of Elixhauser.19 Because almost all patients had Medicare coverage, plans were classified according to managed care status. Finally, for each patient we identified all medications administered, as well as discharge status, readmission rate, total costs, and length of stay. Hospitals were categorized by region (Northeast, South, Midwest, or West), bed size, setting (urban or rural), teaching status, and whether there were geriatricians.

Potentially Inappropriate Prescribing

Using the 2002 updated Beers criteria3 for potentially inappropriate medication (PIM) use in older adults, we identified the total number of PIMs administered to each patient during his or her hospital stay. We classified each PIM as either high or low severity based on the expert consensus expressed in the 1997 update of the Beers criteria.2 The list contains 48 PIMs and an additional 20 that should be avoided in patients with certain conditions. We did not include the second category of PIMs because we did not necessarily have sufficient patient information to make this determination. In addition, some of the standard PIMs, such as laxatives, although inappropriate for chronic outpatient use, could be appropriate in the hospital setting and were excluded from this analysis. Finally, several medications were considered inappropriate only above a given threshold (eg, lorazepam >3.0 mg/day) or for patients without a specific diagnosis (eg, digoxin >0.125 mg/day for patients without atrial fibrillation). We grouped PIMs that had similar side effects into 4 categories: sedatives, anticholinergics, causing orthostasis, or causing bleeding (Fig. 1).

Figure 1
Beers list of potentially inappropriate medications modified for hospitalized patients >65 years old.

Statistical Analysis

Summary statistics at the patient, physician, and hospital levels were constructed using frequencies and proportions for categorical data and means, standard deviations, medians, interquartile ranges, and box plots for continuous‐scale variables. Patients were identified as receiving a PIM if the drug was administered (above threshold dose where applicable) on at least 1 hospital day. We examined the association of each patient characteristic with use of any PIM, any high‐severity‐rated PIM, and each side effect category using chi‐square statistics. Kruskal‐Wallis analysis of variance was used to examine variation in hospital use rates by each hospital characteristic, and physician use rates for high‐severity PIMs by attending specialty. To examine whether it was feasible to avoid PIMs altogether, we compared individual hospitals as well as individual prescribers within their specialty, limiting the comparison to hospitals that contributed at least 100 patients and to physicians with at least 50 patients.

We developed a multivariable model for any high‐severity medication (HS‐PIM) use that included all patient, physician, and hospital characteristics except length of stay, mortality, cost, discharge status, and readmission rate. A generalized estimating equation model (SAS PROC GENMOD) with a logit link and a subcluster correlation structure was used to account for clustering at the hospital, physician, and diagnosis levels, adjusting for the clustering of primary diagnosis within physician level, nested within hospital level. Effects with P < .10 were retained in the model, and interaction effects were also evaluated for significance. Model fit was assessed using deviance and Pearson chi‐square statistics. All analyses were performed with SAS statistical software, version 9.1 (SAS Institute, Cary, NC).

RESULTS

We identified 519,853 patients at least 65 years old during the study period; 564 were excluded because of missing data for key variables or unclear principal diagnosis. An additional 25,318 were excluded because they were cared for by an attending with a surgical specialty. A total of 493,971 patients were included in the study (Table 1). Mean age was 78 years, and 24% of patients were 85 years or older. Forty‐three percent were male, 71% were white, and 39% were currently married. The most common principal diagnoses were community‐acquired pneumonia, congestive heart failure, and acute myocardial infarction. The most common comorbidities were hypertension, diabetes, and chronic pulmonary disease. Medicare was the primary payer for 91% of subjects, and 13% were in managed care plans. Most patients were cared for by internists (49%), family practitioners (18%), or cardiologists (17%). Only 1% of patients had a geriatrician as attending.

Characteristics of 493,971 Older Patients Hospitalized with 1 of 7 Common Medical Conditions
Characteristicn (%)
  • Other physician category includes 42 specialties.

Age group 
6574 years168,527 (34%)
7584 years206,407 (42%)
85+ years119,037 (24%)
Sex 
Male212,358 (43%)
Female281,613 (57%)
Race 
White351,331 (71%)
Black52,429 (11%)
Hispanic18,057 (4%)
American Indian1876 (0%)
Asian/Pacific Islander5926 (1%)
Other64,352 (13%)
Marital status 
Married/partner194,496 (39%)
Widowed155,273 (31%)
Single/separated/divorced75,964 (15%)
Other68,238 (14%)
Primary diagnosis 
Pneumonia122,732 (25%)
Heart failure109,071 (22%)
Acute MI70,581 (14%)
Ischemic stroke57,204 (12%)
Chest pain50,404 (10%)
COPD44,582 (9%)
Urinary tract infection39,397 (8%)
Comorbidities 
Hypertension310,163 (63%)
Diabetes151,755 (31%)
Chronic pulmonary disease134,900 (27%)
Fluid and electrolyte disorders128,703 (26%)
Deficiency anemias92,668 (19%)
Congestive heart failure69,201 (14%)
Hypothyroidism68,711 (14%)
Peripheral vascular disease47,244 (10%)
Depression41,507 (8%)
Other neurological disorders40,200 (8%)
Renal failure38,134 (8%)
Obesity25,143 (5%)
Payer type 
Not Managed care431,583 (87%)
Managed care62,388 (13%)
Attending physician specialty 
Internal medicine (internist)241,982 (49%)
Family/general medicine90,827 (18%)
Cardiology83,317 (17%)
Pulmonology21,163 (4%)
Hospitalist14,924 (3%)
Nephrology8257 (2%)
Neurology5800 (1%)
Geriatrics3099 (1%)
Other*24,602 (5%)
 
Mortality 
Expired28,321 (6%)
Alive465,650 (94%)
Discharge status, n (% of survivors) 
Home323,629 (66%)
Nursing care119,468 (24%)
Transfer/short‐term hospital13,531 (3%)
Hospice9022 (2%)
14‐Day readmission, n (% of survivors) 
Yes35,309 (8%)
No430,334 (92%)
Length of stay (days), median (IQR)4 (2, 7)
Total cost (dollars)$5513 ($3366, $9902)

Just under half of all patients (49%) received at least 1 PIM, and 6% received 3 or more (Table 2). Thirty‐eight percent received at least 1 drug with a high severity rating (HS‐PIM). The most common PIMs were promethazine, diphenhydramine, propoxyphene, clonidine, amiodarone, and lorazepam (>3 mg/day).

Number and Type of Potentially Inappropriate Medications (PIMs) Prescribed
 Patients, n (%)
Number of PIMs 
0254,200 (51%)
1146,028 (30%)
261,445 (12%)
322,128 (4%)
4+10,170 (2%)
Number of high‐severity‐rated PIMs 
0304,523 (62%)
1129,588 (26%)
243,739 (9%)
312,213 (2%)
4+3908 (1%)
Use of any PIM by side effect class 
Sedatives156,384 (32%)
Anticholinergic effects109,293 (22%)
Causing orthostasis43,805 (9%)
Causing bleeding14,744 (3%)
Most commonly prescribed 
Promethazine49,888 (10%)
Diphenhydramine45,458 (9%)
Propoxyphene41,786 (8%)
Clonidine34,765 (7%)
Amiodarone34,318 (7%)
Lorazepam (>3 mg/day)25,147 (5%)

Patient, Physician, and Hospital Factors Associated with PIMs

Patient, physician, and hospital characteristics were all associated with use of PIMs (Table 3). In univariate analyses, older patients were less likely to receive any class of PIM, and this difference was accentuated for HS‐PIMs. Women, American Indians, married people, and those not in managed care plans were slightly more likely to receive PIMs, whereas patients admitted with acute myocardial infarction or congestive heart failure were even more likely to receive PIMs (P < .0001 for all comparisons).

Potentially Inappropriate Medication Use by Patient Characteristic
Patient characteristicAny PIM n (row %)Any high‐severity PIM n (row %)Sedatives n (row %)Anticholinergic effects n (row %)Causing orthostasis n (row %)Causing bleeding n (row %)
  • An additional 24,602 patients (5%) seen by 42 additional physician specialties were excluded from this analysis.

  • Chi‐square tests indicated all differences by patient characteristics were significant at P < .0001 except there was no significant difference by managed care status for use rates of drugs potentially causing orthostasis or drugs potentially causing bleeding.

Overall239,771 (49%)189,448 (38%)156,384 (32%)109,293 (22%)43,805 (9%)14,744 (3%)
Age group
6574 years89,168 (53%)72,573 (43%)61,399 (36%)44,792 (27%)15,799 (9%)6655 (4%)
7584 years100,787 (49%)79,595 (39%)65,034 (32%)45,121 (22%)18,519 (9%)5727 (3%)
85+ years49,816 (42%)37,280 (31%)29,951 (25%)19,380 (16%)9487 (8%)2362 (2%)
Sex
Male100,824 (47%)79,535 (37%)63,591 (30%)42,754 (20%)17,885 (8%)5771 (3%)
Female138,947 (49%)109,913 (39%)92,793 (33%)66,539 (24%)25,920 (9%)8973 (3%)
Race
White173,481 (49%)139,941 (40%)112,556 (32%)81,097 (23%)27,555 (8%)10,590 (3%)
Black26,793 (51%)18,655 (36%)18,720 (36%)11,263 (21%)8925 (17%)1536 (3%)
Hispanic8509 (47%)6370 (35%)5549 (31%)3505 (19%)2047 (11%)648 (4%)
American Indian1091 (58%)849 (45%)818 (44%)563 (30%)190 (10%)76 (4%)
Asian/Pacific Islander2386 (40%)1896 (32%)1420 (24%)1023 (17%)519 (9%)127 (2%)
Other27,511 (43%)21,737 (34%)17,321 (27%)11,842 (18%)4569 (7%)1767 (3%)
Marital status
Married/partner96,874 (50%)77,803 (40%)63,303 (33%)45,042 (23%)16,765 (9%)5969 (3%)
Widowed74,622 (48%)58,012 (37%)48,367 (31%)33,516 (22%)13,865 (9%)4354 (3%)
Single/separated/divorced36,583 (48%)28,799 (38%)24,251 (32%)16,115 (21%)7229 (10%)2399 (3%)
Other31,692 (46%)24,834 (36%)20,463 (30%)14,620 (21%)5946 (9%)2022 (3%)
Primary diagnosis
Pneumonia56,845 (46%)46,271 (38%)35,353 (29%)25,484 (21%)9184 (7%)4155 (3%)
Heart failure56,460 (52%)42,231 (39%)34,340 (31%)22,093 (20%)10,117 (9%)1945 (2%)
Acute MI43,046 (61%)37,849 (54%)32,560 (46%)25,568 (36%)4738 (7%)2549 (4%)
Ischemic stroke25,763 (45%)17,613 (31%)18,500 (32%)8742 (15%)9644 (17%)1384 (2%)
Chest pain20,655 (41%)16,363 (32%)13,536 (27%)10,520 (21%)3474 (7%)2027 (4%)
COPD18,876 (42%)14,626 (33%)12,087 (27%)8096 (18%)3209 (7%)1139 (3%)
Urinary tract infection18,126 (46%)14,495 (37%)10,008 (25%)8790 (22%)3439 (9%)1545 (4%)
Payer type
Nonmanaged care212,150 (49%)168,013 (39%)138,679 (32%)97,776 (23%)38,341 (9%)12,868 (3%)
Managed care27,621 (44%)21,435 (34%)17,705 (28%)11,517 (18%)5464 (9%)1876 (3%)
Attending physician specialty*
Internal medicine (internist%)112,664 (47%)86,907 (36%)71,382 (30%)48,746 (20%)23,221 (10%)7086 (3%)
Family/general medicine41,303 (45%)32,338 (36%)25,653 (28%)18,274 (20%)7660 (8%)2852 (3%)
Cardiology48,485 (58%)40,752 (49%)34,859 (42%)25,792 (31%)5455 (7%)2542 (3%)
Pulmonology10,231 (48%)8105 (38%)6746 (32%)4064 (19%)1739 (8%)574 (3%)
Hospitalist7003 (47%)5443 (36%)4447 (30%)3179 (21%)1471 (10%)463 (3%)
Nephrology4508 (55%)3388 (41%)3132 (38%)2054 (25%)1326 (16%)198 (2%)
Neurology2420 (42%)1789 (31%)1625 (28%)851 (15%)699 (12%)174 (3%)
Geriatrics1020 (33%)785 (25%)596 (19%)404 (13%)196 (6%)41 (1%)

The HS‐PIM prescribing varied substantially by attending specialty (Fig. 2). Internists, family practitioners, and hospitalists all had similar median rates (33%), cardiologists had a higher median rate (48%), and geriatricians had a lower rate (24%). The most common PIM also differed by specialty: whereas promethazine was the most commonly prescribed drug across most specialties, nephrologists and neurologists used clonidine, pulmonologists used lorazepam, and cardiologists used diphenhydramine most often. Among the 8% of physicians who saw at least 50 patients, there was also great variation in each specialty (Fig. 2). Among internists and cardiologists who saw at least 50 patients, the high‐severity PIM usage rate ranged from 0% to more than 90%.

Figure 2
Distribution of physician prescribing rates for high‐severity‐rated PIM by specialty for physicians treating at least 50 hospitalized patients during the study period (N, number of physicians in each specialty). The line in the middle of each box represents the median use rate across physicians, and the box extends to the interquartile range (IQR). The lines emerging from the box extend to the adjacent values. The upper adjacent value is defined as the largest data point less than or equal to the 75th percentile plus 1.5 times the IQR; the lower adjacent value is defined as the smallest data point greater than or equal to the 25th percentile minus 1.5 IQR. Observed points more extreme than the adjacent values are individually plotted.

There was substantial variation in PIM usage among hospitals, most notably by region. The mean proportion of patients receiving PIMs ranged from 34% at hospitals in the Northeast to 55% at hospitals in the South (Table 4). Smaller hospitals and those in urban settings had slightly lower rates, as did those that had geriatricians on staff. The teaching status of the hospital had little effect. Variation at the individual hospital level was extreme (Fig. 3). Although half of all hospitals had rates between 43% and 58%, in 7 hospitals with more than 300 encounters each, PIMs were never prescribed for geriatric patients.

Figure 3
Distribution of hospital use rates for each category of PIM among hospitals with at least 100 eligible patients during the study period. Thirteen hospitals (3%) and 324 patients (<0.1%) were excluded. For interpretation of the box plots, see Figure 2.
Percentage of Patients Prescribed Potentially Inappropriate Medication (PIM) by Hospital Characteristic
 Hospitals Total = 384 n (%)Patients N = 49,3971 n (%)Any PIM Mean = 48.2 Mean (SD)Any high‐severity PIM Mean = 38.7 Mean (SD)Sedatives Mean = 30.2 Mean (SD)Anticholinergic effects Mean = 21.5 Mean (SD)Causing orthostasis Mean = 8.5 Mean (SD)Causing bleeding Mean = 3.1 Mean (SD)
  • Note: P values from analysis of variance of hospital use rates for each hospital characteristic.

  • P < .05,

  • P < .001,

  • P < .0001.

Hospital region  *****************
Midwest76 (20%)95,791 (19%)38.8 (19.7)30.0 (16.4)24.3 (13.8)15.1 (9.9)6.9 (6.3)3.1 (2.3)
Northeast47 (12%)79,138 (16%)34.1 (12.6)26.2 (11.2)19.0 (9.2)13.5 (8.1)4.9 (2.3)2.1 (1.6)
South199 (52%)260,870 (53%)54.5 (10.1)42.7 (9.6)36.0 (10.8)26.4 (8.6)10.4 (4.6)3.6 (2.5)
West62 (16%)58,172 (12%)45.8 (8.1)37.4 (7.1)27.3 (7.7)19.5 (5.7)7.4 (4.8)2.7 (1.3)
Teaching status        
Nonteaching297 (77%)324,948 (66%)47.3 (14.6)36.9 (12.3)29.8 (12.0)21.3 (9.9)8.7 (5.4)3.3 (2.4)
Teaching87 (23%)169,023 (34%)48.2 (16.0)38.8 (14.2)31.6 (14.5)22.1 (10.2)7.8 (4.4)2.7 (1.5)
Staffed beds   ***   
22200143 (37%)80,741 (16%)45.5 (16.9)35.2 (14.6)27.5 (14.0)20.1 (10.3)8.0 (6.2)3.5 (3.1)
200400137 (36%)177,286 (36%)47.7 (14.2)37.8 (12.0)30.5 (11.6)22.0 (10.0)8.4 (4.7)3.0 (1.6)
400+104 (27%)235944 (48%)50.1 (12.4)39.6 (10.6)33.5 (10.9)22.7 (9.3)9.3 (4.2)2.9 (1.4)
Population serviced     ****
Rural119 (31%)102,799 (21%)48.4 (13.0)38.3 (10.6)29.2 (11.0)23.2 (9.3)7.5 (4.0)3.7 (3.0)
Urban265 (69%)391,172 (79%)47.1 (15.7)36.9 (13.7)30.6 (13.2)20.7 (10.2)9.0 (5.6)2.9 (1.8)
Geriatrician presence        
No340 (89%)409,281 (83%)47.7 (15.3)37.6 (13.0)30.3 (12.8)21.7 (10.0)8.4 (5.3)3.2 (2.3)
Yes44 (11%)84,690 (17%)45.8 (11.4)35.5 (10.6)29.4 (10.8)19.6 (9.4)9.3 (4.3)2.9 (1.6)

Multivariable Model

In a multivariable logit model that included all patient, hospital, and physician characteristics and that accounted for clustering at the hospital, physician, and diagnosis levels, several characteristics were associated with HS‐PIM prescribing (Table 5). By far the most important predictor of use was hospital region. Compared with patients at hospitals in the Midwest, patients in the South (OR 1.63, 95% CI 1.591.67) and West (OR 1.43, 95% CI 1.381.47) were more likely and those in the Northeast were less likely (OR 0.85, 95% CI 0.830.88) to receive HS‐PIMs. Larger hospitals had higher HS‐PIM rates than smaller ones, but teaching status and rural or urban setting were not associated with HS‐PIM prescribing. The presence of geriatricians in a hospital was also associated with lower HS‐PIM prescribing for the entire hospital.

Adjusted Odds Ratio Estimates for High‐Severity PIM Use
Effect (reference)Odds ratio95% Confidence limits
Age   
6574 years1.00  
7584 years0.830.820.84
85+ years0.590.580.61
Sex   
Female1.00  
Male0.850.830.86
Race   
White1.00  
Black0.780.760.80
Hispanic0.840.810.87
American Indian0.970.881.07
Asian/Pacific Islander0.740.700.79
Other0.940.920.97
Marital Status   
Married/partner1.00  
Single/separated/divorced0.960.940.98
Widowed0.960.950.98
Other0.930.900.95
Primary diagnosis   
Pneumonia1.00  
COPD0.830.810.85
Heart failure1.141.121.16
Ischemic stroke0.840.820.86
Acute MI1.951.902.01
Urinary tract infection1.061.031.09
Chest pain0.870.840.89
Comorbidities (yes or no)   
Hypertension0.980.970.99
Diabetes0.980.971.00
Chronic lung disease1.111.101.13
Fluid and electrolyte disorders1.261.241.27
Anemia deficiencies1.171.151.18
Congestive heart failure1.341.321.37
Hypothyroidism1.131.111.15
Peripheral vascular disease1.091.061.11
Depression1.381.351.41
Neurological disorders0.890.870.91
Renal failure1.231.201.26
Obesity1.111.081.14
Payer type   
Managed care1.00  
Not managed care1.041.021.06
Attending physician specialty   
Internal medicine1.00  
Cardiology1.321.281.36
Family/general medicine0.990.971.01
Geriatrics0.690.610.78
Hospitalist0.900.840.96
Nephrology1.020.961.08
Neurology0.930.861.00
Pulmonology1.101.051.15
Setting   
Rural1.00  
Urban1.021.001.05
 
Teaching status   
Nonteaching1.00  
Teaching1.010.981.03
Number of beds   
222001.00  
2004001.081.051.11
400+1.121.091.16
Region   
Midwest1.00  
Northeast0.850.830.88
South1.631.591.67
West1.431.381.47
Geriatrician presence   
No1.00  
Yes0.930.900.95

Physician specialty was also important. Adjusting for diagnosis attenuated some of this association, but compared with internists, cardiologists (OR 1.32, 95% CI 1.281.36) and pulmonologists (OR 1.10, 95% CI 1.051.15) were still more likely, hospitalists (OR 0.90, 95% CI 0.840.96) were less likely, and geriatricians (0.69, 95% CI 0.610.78) were least likely to prescribe any HS‐PIM.

Patient factors were also associated with HS‐PIM use. Compared with patients age 6574 years, patients older than 85 years were much less likely to receive an HS‐PIM (OR 0.59, CI 0.580.61), as to a lesser extent were nonwhites compared with whites and unmarried people compared with those who were married. Compared with patients with pneumonia, those with COPD, stroke, or chest pain were less likely and those with myocardial infarction and congestive heart failure were more likely to receive HS‐PIMs. Patients with a secondary diagnosis of depression were also at high risk (OR 1.38, CI 1.351.41).

DISCUSSION

Although Americans age 65 years and older make up less than 15% of the U.S. population, they consume about one third of all prescription drugs20 and account for one third of all hospital admissions.21 Using the Beers list, numerous studies have documented high rates of potentially inappropriate prescribing for community‐dwelling elderly and nursing home patients and, in some studies, an attendant risk of falling,2224 hip fracture,25, 26 hospitalization,13 or death.14 Applying these same criteria to a large sample of medical inpatients, we found that almost half received a potentially inappropriate drug, most of high severity. Moreover, the PIM prescribing rate varied substantially by region, hospital, and attending physician specialty. Although the use of PIMs was associated with patient age, comorbidities, and primary diagnosis, these patient factors explained only a small portion of the variation in prescribing practices across groups of physicians and hospitals.

Using consensus criteria, Beers originally found that 40% of the residents in 12 nursing homes received at least 1 PIM,8 and studies of community‐dwelling elderly demonstrated rates of 21% to 37%, with little change over time.6, 27, 28 Several small studies have examined inpatient prescribing.16, 17, 29, 30 The largest17 found that only 15% of elderly Italian inpatients received a PIM. Our finding, that 49% of inpatients had received at least 1 PIM, may partially reflect the high prevalence of use among elderly US patients in nursing homes and the community.

Regional variation has been demonstrated for ambulatory patients in the US6 and Europe.31 Zhan et al. found slightly higher rates of PIM use in the Midwest and the South (23%) than in the Northeast and the West (19%). Variation in Europe was greater, with 41% of patients in the Czech Republic versus 5.8% of patients in Denmark receiving at least 1 PIM. We found that region was the strongest predictor of in‐hospital HS‐PIM use, with patients in the South most likely and patients in the Northeast least likely to receive HS‐PIMs. This variation persisted even after adjusting for differences in other patient and hospital factors, suggesting that local custom played a large role in the decision to prescribe HS‐PIMs. Moreover, because outpatient rates are more uniform, these large differences seem limited to inpatient practice.

Patient factors have also been examined. Advanced age was associated with decreased PIM use in some studies17, 28, 31 but not in others.6, 27 We found increasing age to be strongly associated with decreased PIM use, suggesting that in the hospital, at least, doctors take care to avoid prescribing certain drugs to the frail elderly. Women appear to be consistently at higher risk than men,6, 27, 28, 31 and white patients are more at risk than those of other races.6 Our finding that certain diagnoses were associated with higher or lower rates has not been reported previously. The lower rates associated with stroke and COPD suggest that prescribers were aware that these patients were at increased risk of delirium and respiratory depression. The higher rates associated with myocardial infarction may have to do with the use of standardized order sets (eg, cath lab orders) that do not consider the age of the patient going for the procedure.

Admission to a geriatric service32 and intervention by a clinical pharmacist33 have been shown to decrease PIM prescribing at discharge. We noted that patients cared for by a geriatrician had the lowest rates of PIM prescribing during hospitalization as well and that hospitals with geriatricians had lower rates overall, possibly demonstrating that geriatricians had a ripple effect on their colleagues. Hospitalists also had lower rates than internists, supporting the notion that hospitalists provide higher‐quality inpatient care.

Our study had some important limitations. First, we only had access to inpatient administrative records. Thus, we could not identify which medications were continued from home and which were begun in the hospital, nor could we know the indications for which specific drugs were prescribed or who prescribed them. Based on published outpatient rates, however, we could assume that many of the drugs were started in the hospital and that others could have been discontinued but were not. Second, the Beers list was developed by the modified Delphi method; there was little empirical evidence of the danger of specific drugs, although some classes, such as benzodiazepines, opiates and digoxin, have been associated with inpatient falls.18, 3436 Furthermore, our administrative database did not allow us to balance the risks and benefits for particular patients; hence, the medications were only potentially inappropriate, and our study did not address the consequences of such prescribing. Although some of these drugs may be appropriate under certain circumstances, it is unlikely that these circumstances would vary by 60% across geographic regions or that internists would encounter these circumstances more often than do hospitalists. Thus, although we could not identify specific patients who received inappropriate medications, we did identify certain hospitals and even whole regions of the country in which the rate of inappropriate prescribing was high. Third, the Beers list, which was developed for outpatient use, may be less relevant in the inpatient setting. However, given that inpatients have more organ dysfunction and are at higher risk of delirium and falls, it may actually be more applicable to hospitalized patients. We similarly did not distinguish between single and multiple doses because the Beers list does not make such a distinction, and there is no empirical evidence that a single dose is safe. Indeed, patients are often at highest risk of falls immediately after initiation of therapy.3739 We did, however, exclude drugs such as laxatives, which may be appropriate for brief inpatient use but not for chronic use.

Our study also had a number of strengths. The large sample size, representing approximately 5% of annual inpatient admissions in the US over 2 years, offered an instructive look at the recent prescribing patterns of thousands of US physicians. We were able to identify many patient, physician, and hospital factors associated with PIM prescribing that have not previously been reported. Some of these factors, such as advanced age and comorbid diagnoses, suggest that physicians do tailor their treatment to individual patients. Nevertheless, patient factors accounted for only a small portion of the variation in prescribing. The largest variation, associated with regional, hospital, and physician factors, highlights the opportunity for improvement.

At the same time, our findings are encouraging for 2 reasons. First, most inappropriate prescribing involved only a handful of medications, so small changes in prescribing patterns could have a tremendous impact. Second, observing the practice of individual physicians and hospitals reveals what is possible. We found that in most specialties there were physicians who rarely or never used PIMs. We also found 7 hospitals, each with at least 300 cases, where no PIMs were ever prescribed.

Where should hospitals focus their efforts to prevent inappropriate prescribing? Our data highlight the complexity of the problem, which seems daunting. PIM prescribing is spread across all specialties, including geriatrics, and although cardiologists had the highest rate of prescribing, internists, who were more numerous, accounted for a much higher overall number of potentially inappropriate prescriptions. It would be instructive to study the 7 hospitals where PIMs were never prescribed or to interview those physicians who never prescribed PIMs, but the anonymous nature of our data would not allow for this. However, our data do suggest some directions. First, hospitals should become aware of their own rates of PIM use because measurement is the first step in quality improvement. Next, hospitals should focus efforts on reducing the use of the most common drugs. Eliminating just 3 drugs promethazine, diphenhydramine, and propoxyphenewould reduce the use of PIMs in 24% of elderly patients. Enlisting hospital pharmacists and electronic health records and reviewing standard order sets for elderly patients are potentially effective strategies. Finally, increasing the presence of geriatricians and hospitalists would be expected to have a modest impact.

In a representative sample of elderly inpatients, we found that almost half received a potentially inappropriate medication and that the rate of inappropriate prescribing varied widely among doctors and hospitals. Additional research is needed to distinguish which of the Beers drugs are most harmful and which patients are at highest risk. Research should also focus on understanding differences in prescribing patterns, perhaps by studying the outliers at both ends of the quality spectrum, and on techniques to minimize non‐patient‐centered variation.

References
  1. Beers MH,Ouslander JG,Rollingher I,Reuben DB,Brooks J,Beck JC.Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA Division of Geriatric Medicine.Arch Intern Med.1991;151:18251832.
  2. Beers MH.Explicit criteria for determining potentially inappropriate medication use by the elderly. An update.Arch Intern Med.1997;157:15311536.
  3. Fick DM,Cooper JW,Wade WE,Waller JL,Maclean JR,Beers MH.Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts.Arch Intern Med.2003;163:27162724.
  4. National Committee on Quality Assurance. Drugs to be Avoided in the Elderly. Available at: http://www.ncqa.org/Programs/HEDIS/2006/Volume2/NDC/DAE_06.xls. Accessed November 20,2006.
  5. Curtis LH,Ostbye T,Sendersky V, et al.Inappropriate prescribing for elderly Americans in a large outpatient population.Arch Intern Med.2004;164:16211625.
  6. Zhan C,Sangl J,Bierman AS, et al.Potentially inappropriate medication use in the community‐dwelling elderly: findings from the 1996 Medical Expenditure Panel Survey.JAMA.2001;286:28232829.
  7. Mort JR,Aparasu RR.Prescribing potentially inappropriate psychotropic medications to the ambulatory elderly.Arch Intern Med.2000;160:28252831.
  8. Beers MH,Ouslander JG,Fingold SF, et al.Inappropriate medication prescribing in skilled‐nursing facilities.Ann Intern Med.1992;117:684689.
  9. Perri M,Menon AM,Deshpande AD, et al.Adverse outcomes associated with inappropriate drug use in nursing homes.Ann Pharmacother.2005;39:405411.
  10. Caterino JM,Emond JA,Camargo CA.Inappropriate medication administration to the acutely ill elderly: a nationwide emergency department study, 1992–2000.J Am Geriatr Soc.2004;52:18471855.
  11. Chin MH,Wang LC,Jin L, et al.Appropriateness of medication selection for older persons in an urban academic emergency department.Acad Emerg Med.1999;6:12321242.
  12. Chang CM,Liu PY,Yang YH,Yang YC,Wu CF,Lu FH.Use of the Beers criteria to predict adverse drug reactions among first‐visit elderly outpatients.Pharmacotherapy.2005;25:831838.
  13. Klarin I,Wimo A,Fastbom J.The association of inappropriate drug use with hospitalisation and mortality: a population‐based study of the very old.Drugs Aging.2005;22(1):6982.
  14. Lau DT,Kasper JD,Potter DE,Lyles A,Bennett RG.Hospitalization and death associated with potentially inappropriate medication prescriptions among elderly nursing home residents.Arch Intern Med.2005;165(1):6874.
  15. Edwards RF,Harrison TM,Davis SM.Potentially inappropriate prescribing for geriatric inpatients: an acute care of the elderly unit compared to a general medicine service.Consult Pharm.2003;18(1):3742, 47–39.
  16. Hanlon JT,Artz MB,Pieper CF, et al.Inappropriate medication use among frail elderly inpatients.Ann Pharmacother.2004;38(1):914.
  17. Onder G,Landi F,Cesari M,Gambassi G,Carbonin P,Bernabei R.Inappropriate medication use among hospitalized older adults in Italy: results from the Italian Group of Pharmacoepidemiology in the Elderly.Eur J Clin Pharmacol.2003;59(2):157162.
  18. Peterson JF,Kuperman GJ,Shek C,Patel M,Avorn J,Bates DW.Guided prescription of psychotropic medications for geriatric inpatients.Arch Intern Med.2005;165:802807.
  19. Elixhauser A,Steiner C,Harris DR,Coffey RM.Comorbidity measures for use with administrative data.Med Care.1998;36(1):827.
  20. Soumerai SB,Ross‐Degnan D.Inadequate prescription‐drug coverage for Medicare enrollees—a call to action.N Engl J Med.1999;340:722728.
  21. National and regional estimates on hospital use for all patients from the HCUP Nationwide Inpatient Sample (NIS). Agency for Healthcare Research and Quality (AHRQ). Available at: http://hcupnet.ahrq.gov/HCUPnet.jsp. Accessed October 12,2006.
  22. French DD,Campbell R,Spehar A,Cunningham F,Bulat T,Luther SL.Drugs and falls in community‐dwelling older people: a national veterans study.Clin Ther.2006;28:619630.
  23. Landi F,Onder G,Cesari M,Barillaro C,Russo A,Bernabei R.Psychotropic medications and risk for falls among community‐dwelling frail older people: an observational study.J Gerontol A Biol Sci Med Sci.2005;60:622626.
  24. Leipzig RM,Cumming RG,Tinetti ME.Drugs and falls in older people: a systematic review and meta‐analysis: I. Psychotropic drugs.J Am Geriatr Soc.1999;47(1):3039.
  25. Kamal‐Bahl SJ,Stuart BC,Beers MH.Propoxyphene use and risk for hip fractures in older adults.Am J Geriatr Pharmacother.2006;4:219226.
  26. Ensrud KE,Blackwell T,Mangione CM, et al.Central nervous system active medications and risk for fractures in older women.Arch Intern Med.2003;163:949957.
  27. Simon SR,Chan KA,Soumerai SB, et al.Potentially inappropriate medication use by elderly persons in U.S. Health Maintenance Organizations, 2000–2001.J Am Geriatr Soc.2005;53:227232.
  28. Goulding MR.Inappropriate medication prescribing for elderly ambulatory care patients.Arch Intern Med.2004;164:305312.
  29. Passarelli MC,Jacob‐Filho W,Figueras A.Adverse drug reactions in an elderly hospitalised population: inappropriate prescription is a leading cause.Drugs Aging.2005;22:767777.
  30. Raivio MM,Laurila JV,Strandberg TE,Tilvis RS,Pitkala KH.Use of inappropriate medications and their prognostic significance among in‐hospital and nursing home patients with and without dementia in Finland.Drugs Aging.2006;23:333343.
  31. Fialova D,Topinkova E,Gambassi G, et al.Potentially inappropriate medication use among elderly home care patients in Europe.JAMA.2005;293:13481358.
  32. Laroche ML,Charmes JP,Nouaille Y,Fourrier A,Merle L.Impact of hospitalisation in an acute medical geriatric unit on potentially inappropriate medication use.Drugs Aging.2006;23(1):4959.
  33. Brown BK,Earnhart J.Pharmacists and their effectiveness in ensuring the appropriateness of the chronic medication regimens of geriatric inpatients.Consult Pharm.2004;19:432436.
  34. Passaro A,Volpato S,Romagnoni F,Manzoli N,Zuliani G,Fellin R.Benzodiazepines with different half‐life and falling in a hospitalized population: the GIFA study. Gruppo Italiano di Farmacovigilanza nell'Anziano.J Clin Epidemiol.2000;53:12221229.
  35. Gales BJ,Menard SM.Relationship between the administration of selected medications and falls in hospitalized elderly patients.Ann Pharmacother.1995;29:354358.
  36. Mendelson WB.The use of sedative/hypnotic medication and its correlation with falling down in the hospital.Sleep.1996;19:698701.
  37. Wagner AK,Zhang F,Soumerai SB, et al.Benzodiazepine use and hip fractures in the elderly: who is at greatest risk?Arch Intern Med.2004;164:15671572.
  38. Wang PS,Bohn RL,Glynn RJ,Mogun H,Avorn J.Hazardous benzodiazepine regimens in the elderly: effects of half‐life, dosage, and duration on risk of hip fracture.Am J Psychiatry.2001;158:892898.
  39. Tamblyn R,Abrahamowicz M,du Berger R,McLeod P,Bartlett G.A 5‐year prospective assessment of the risk associated with individual benzodiazepines and doses in new elderly users.J Am Geriatr Soc.2005;53:233241.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
91-102
Legacy Keywords
drug safety, geriatric patient, pharmaceuticals, quality improvement
Sections
Article PDF
Article PDF

Medications can be considered inappropriate when their risk outweighs their benefit. The Beers list1 identifies medications that should be avoided in persons 65 years or older because they are ineffective or pose an unnecessarily high risk or because a safer alternative is available. Initially developed in 1991, the list has gained wide acceptance and has been updated twice.2, 3 In July 1999 it was adopted by the Centers for Medicare & Medicaid Services (CMS) for nursing home regulation, and in 2006 the National Committee on Quality Assurance adopted a modified version as a Health Plan Employer Data and Information Set (HEDIS) measure of quality of care for older Americans.4

A number of studies have demonstrated that inappropriate prescribing is common in the ambulatory setting,57 in nursing homes,8, 9 and in emergency departments10, 11 and that exposure to inappropriate medications is associated with increased risk of adverse drug reactions12 and hospitalization.13, 14 Initial studies of hospitalized patients1517 suggest that potentially inappropriate prescribing is also common among elderly inpatients and that reducing the misuse of psychotropic medications can prevent falls.18 We report on the incidence of and risk factors associated with potentially inappropriate prescribing in a large sample of hospitalized elders.

METHODS

Patients

We conducted a retrospective cohort study using data from 384 hospitals participating in Perspective (Premier, Inc., Charlotte, NC), a database developed for measuring quality and health care utilization. Participating hospitals represent all regions of the United States and are primarily small‐ to medium‐sized nonteaching hospitals most of which are in urban areas. Premier collects data elements from participating hospitals via a custom data extract from hospitals' decision support system. Hospitals aggregate the data elements into their decision support systems from multiple information technology systems including billing, medical records, pharmacy, and laboratory systems. In addition to the information contained in the standard hospital discharge file, Perspective includes a date‐stamped log of all billed items, including medications with dose and quantity, for individual patients.

We included patients at least 65 years old admitted between September 1, 2002, and June 30, 2005, with a principal diagnosis of acute myocardial infarction, chronic obstructive pulmonary disease, chest pain, community‐acquired pneumonia, congestive heart failure, ischemic stroke, or urinary tract infection. International Classification of Diseases, Ninth Revision (ICD‐9‐CM) codes were used to identify diagnoses. Patients cared for by an attending physician with a surgical specialty were excluded. The study protocol was approved by the institutional review board of Baystate Medical Center.

Data Elements

For each patient, Perspective contains fields for age, sex, race, marital status, insurance status, principal diagnosis, comorbidities, and specialty of the attending physician. Comorbidities were identified from ICD‐9‐CM secondary diagnosis codes and APR‐DRGs using Healthcare Cost and Utilization Project Comorbidity Software, version 3.1, based on the work of Elixhauser.19 Because almost all patients had Medicare coverage, plans were classified according to managed care status. Finally, for each patient we identified all medications administered, as well as discharge status, readmission rate, total costs, and length of stay. Hospitals were categorized by region (Northeast, South, Midwest, or West), bed size, setting (urban or rural), teaching status, and whether there were geriatricians.

Potentially Inappropriate Prescribing

Using the 2002 updated Beers criteria3 for potentially inappropriate medication (PIM) use in older adults, we identified the total number of PIMs administered to each patient during his or her hospital stay. We classified each PIM as either high or low severity based on the expert consensus expressed in the 1997 update of the Beers criteria.2 The list contains 48 PIMs and an additional 20 that should be avoided in patients with certain conditions. We did not include the second category of PIMs because we did not necessarily have sufficient patient information to make this determination. In addition, some of the standard PIMs, such as laxatives, although inappropriate for chronic outpatient use, could be appropriate in the hospital setting and were excluded from this analysis. Finally, several medications were considered inappropriate only above a given threshold (eg, lorazepam >3.0 mg/day) or for patients without a specific diagnosis (eg, digoxin >0.125 mg/day for patients without atrial fibrillation). We grouped PIMs that had similar side effects into 4 categories: sedatives, anticholinergics, causing orthostasis, or causing bleeding (Fig. 1).

Figure 1
Beers list of potentially inappropriate medications modified for hospitalized patients >65 years old.

Statistical Analysis

Summary statistics at the patient, physician, and hospital levels were constructed using frequencies and proportions for categorical data and means, standard deviations, medians, interquartile ranges, and box plots for continuous‐scale variables. Patients were identified as receiving a PIM if the drug was administered (above threshold dose where applicable) on at least 1 hospital day. We examined the association of each patient characteristic with use of any PIM, any high‐severity‐rated PIM, and each side effect category using chi‐square statistics. Kruskal‐Wallis analysis of variance was used to examine variation in hospital use rates by each hospital characteristic, and physician use rates for high‐severity PIMs by attending specialty. To examine whether it was feasible to avoid PIMs altogether, we compared individual hospitals as well as individual prescribers within their specialty, limiting the comparison to hospitals that contributed at least 100 patients and to physicians with at least 50 patients.

We developed a multivariable model for any high‐severity medication (HS‐PIM) use that included all patient, physician, and hospital characteristics except length of stay, mortality, cost, discharge status, and readmission rate. A generalized estimating equation model (SAS PROC GENMOD) with a logit link and a subcluster correlation structure was used to account for clustering at the hospital, physician, and diagnosis levels, adjusting for the clustering of primary diagnosis within physician level, nested within hospital level. Effects with P < .10 were retained in the model, and interaction effects were also evaluated for significance. Model fit was assessed using deviance and Pearson chi‐square statistics. All analyses were performed with SAS statistical software, version 9.1 (SAS Institute, Cary, NC).

RESULTS

We identified 519,853 patients at least 65 years old during the study period; 564 were excluded because of missing data for key variables or unclear principal diagnosis. An additional 25,318 were excluded because they were cared for by an attending with a surgical specialty. A total of 493,971 patients were included in the study (Table 1). Mean age was 78 years, and 24% of patients were 85 years or older. Forty‐three percent were male, 71% were white, and 39% were currently married. The most common principal diagnoses were community‐acquired pneumonia, congestive heart failure, and acute myocardial infarction. The most common comorbidities were hypertension, diabetes, and chronic pulmonary disease. Medicare was the primary payer for 91% of subjects, and 13% were in managed care plans. Most patients were cared for by internists (49%), family practitioners (18%), or cardiologists (17%). Only 1% of patients had a geriatrician as attending.

Characteristics of 493,971 Older Patients Hospitalized with 1 of 7 Common Medical Conditions
Characteristicn (%)
  • Other physician category includes 42 specialties.

Age group 
6574 years168,527 (34%)
7584 years206,407 (42%)
85+ years119,037 (24%)
Sex 
Male212,358 (43%)
Female281,613 (57%)
Race 
White351,331 (71%)
Black52,429 (11%)
Hispanic18,057 (4%)
American Indian1876 (0%)
Asian/Pacific Islander5926 (1%)
Other64,352 (13%)
Marital status 
Married/partner194,496 (39%)
Widowed155,273 (31%)
Single/separated/divorced75,964 (15%)
Other68,238 (14%)
Primary diagnosis 
Pneumonia122,732 (25%)
Heart failure109,071 (22%)
Acute MI70,581 (14%)
Ischemic stroke57,204 (12%)
Chest pain50,404 (10%)
COPD44,582 (9%)
Urinary tract infection39,397 (8%)
Comorbidities 
Hypertension310,163 (63%)
Diabetes151,755 (31%)
Chronic pulmonary disease134,900 (27%)
Fluid and electrolyte disorders128,703 (26%)
Deficiency anemias92,668 (19%)
Congestive heart failure69,201 (14%)
Hypothyroidism68,711 (14%)
Peripheral vascular disease47,244 (10%)
Depression41,507 (8%)
Other neurological disorders40,200 (8%)
Renal failure38,134 (8%)
Obesity25,143 (5%)
Payer type 
Not Managed care431,583 (87%)
Managed care62,388 (13%)
Attending physician specialty 
Internal medicine (internist)241,982 (49%)
Family/general medicine90,827 (18%)
Cardiology83,317 (17%)
Pulmonology21,163 (4%)
Hospitalist14,924 (3%)
Nephrology8257 (2%)
Neurology5800 (1%)
Geriatrics3099 (1%)
Other*24,602 (5%)
 
Mortality 
Expired28,321 (6%)
Alive465,650 (94%)
Discharge status, n (% of survivors) 
Home323,629 (66%)
Nursing care119,468 (24%)
Transfer/short‐term hospital13,531 (3%)
Hospice9022 (2%)
14‐Day readmission, n (% of survivors) 
Yes35,309 (8%)
No430,334 (92%)
Length of stay (days), median (IQR)4 (2, 7)
Total cost (dollars)$5513 ($3366, $9902)

Just under half of all patients (49%) received at least 1 PIM, and 6% received 3 or more (Table 2). Thirty‐eight percent received at least 1 drug with a high severity rating (HS‐PIM). The most common PIMs were promethazine, diphenhydramine, propoxyphene, clonidine, amiodarone, and lorazepam (>3 mg/day).

Number and Type of Potentially Inappropriate Medications (PIMs) Prescribed
 Patients, n (%)
Number of PIMs 
0254,200 (51%)
1146,028 (30%)
261,445 (12%)
322,128 (4%)
4+10,170 (2%)
Number of high‐severity‐rated PIMs 
0304,523 (62%)
1129,588 (26%)
243,739 (9%)
312,213 (2%)
4+3908 (1%)
Use of any PIM by side effect class 
Sedatives156,384 (32%)
Anticholinergic effects109,293 (22%)
Causing orthostasis43,805 (9%)
Causing bleeding14,744 (3%)
Most commonly prescribed 
Promethazine49,888 (10%)
Diphenhydramine45,458 (9%)
Propoxyphene41,786 (8%)
Clonidine34,765 (7%)
Amiodarone34,318 (7%)
Lorazepam (>3 mg/day)25,147 (5%)

Patient, Physician, and Hospital Factors Associated with PIMs

Patient, physician, and hospital characteristics were all associated with use of PIMs (Table 3). In univariate analyses, older patients were less likely to receive any class of PIM, and this difference was accentuated for HS‐PIMs. Women, American Indians, married people, and those not in managed care plans were slightly more likely to receive PIMs, whereas patients admitted with acute myocardial infarction or congestive heart failure were even more likely to receive PIMs (P < .0001 for all comparisons).

Potentially Inappropriate Medication Use by Patient Characteristic
Patient characteristicAny PIM n (row %)Any high‐severity PIM n (row %)Sedatives n (row %)Anticholinergic effects n (row %)Causing orthostasis n (row %)Causing bleeding n (row %)
  • An additional 24,602 patients (5%) seen by 42 additional physician specialties were excluded from this analysis.

  • Chi‐square tests indicated all differences by patient characteristics were significant at P < .0001 except there was no significant difference by managed care status for use rates of drugs potentially causing orthostasis or drugs potentially causing bleeding.

Overall239,771 (49%)189,448 (38%)156,384 (32%)109,293 (22%)43,805 (9%)14,744 (3%)
Age group
6574 years89,168 (53%)72,573 (43%)61,399 (36%)44,792 (27%)15,799 (9%)6655 (4%)
7584 years100,787 (49%)79,595 (39%)65,034 (32%)45,121 (22%)18,519 (9%)5727 (3%)
85+ years49,816 (42%)37,280 (31%)29,951 (25%)19,380 (16%)9487 (8%)2362 (2%)
Sex
Male100,824 (47%)79,535 (37%)63,591 (30%)42,754 (20%)17,885 (8%)5771 (3%)
Female138,947 (49%)109,913 (39%)92,793 (33%)66,539 (24%)25,920 (9%)8973 (3%)
Race
White173,481 (49%)139,941 (40%)112,556 (32%)81,097 (23%)27,555 (8%)10,590 (3%)
Black26,793 (51%)18,655 (36%)18,720 (36%)11,263 (21%)8925 (17%)1536 (3%)
Hispanic8509 (47%)6370 (35%)5549 (31%)3505 (19%)2047 (11%)648 (4%)
American Indian1091 (58%)849 (45%)818 (44%)563 (30%)190 (10%)76 (4%)
Asian/Pacific Islander2386 (40%)1896 (32%)1420 (24%)1023 (17%)519 (9%)127 (2%)
Other27,511 (43%)21,737 (34%)17,321 (27%)11,842 (18%)4569 (7%)1767 (3%)
Marital status
Married/partner96,874 (50%)77,803 (40%)63,303 (33%)45,042 (23%)16,765 (9%)5969 (3%)
Widowed74,622 (48%)58,012 (37%)48,367 (31%)33,516 (22%)13,865 (9%)4354 (3%)
Single/separated/divorced36,583 (48%)28,799 (38%)24,251 (32%)16,115 (21%)7229 (10%)2399 (3%)
Other31,692 (46%)24,834 (36%)20,463 (30%)14,620 (21%)5946 (9%)2022 (3%)
Primary diagnosis
Pneumonia56,845 (46%)46,271 (38%)35,353 (29%)25,484 (21%)9184 (7%)4155 (3%)
Heart failure56,460 (52%)42,231 (39%)34,340 (31%)22,093 (20%)10,117 (9%)1945 (2%)
Acute MI43,046 (61%)37,849 (54%)32,560 (46%)25,568 (36%)4738 (7%)2549 (4%)
Ischemic stroke25,763 (45%)17,613 (31%)18,500 (32%)8742 (15%)9644 (17%)1384 (2%)
Chest pain20,655 (41%)16,363 (32%)13,536 (27%)10,520 (21%)3474 (7%)2027 (4%)
COPD18,876 (42%)14,626 (33%)12,087 (27%)8096 (18%)3209 (7%)1139 (3%)
Urinary tract infection18,126 (46%)14,495 (37%)10,008 (25%)8790 (22%)3439 (9%)1545 (4%)
Payer type
Nonmanaged care212,150 (49%)168,013 (39%)138,679 (32%)97,776 (23%)38,341 (9%)12,868 (3%)
Managed care27,621 (44%)21,435 (34%)17,705 (28%)11,517 (18%)5464 (9%)1876 (3%)
Attending physician specialty*
Internal medicine (internist%)112,664 (47%)86,907 (36%)71,382 (30%)48,746 (20%)23,221 (10%)7086 (3%)
Family/general medicine41,303 (45%)32,338 (36%)25,653 (28%)18,274 (20%)7660 (8%)2852 (3%)
Cardiology48,485 (58%)40,752 (49%)34,859 (42%)25,792 (31%)5455 (7%)2542 (3%)
Pulmonology10,231 (48%)8105 (38%)6746 (32%)4064 (19%)1739 (8%)574 (3%)
Hospitalist7003 (47%)5443 (36%)4447 (30%)3179 (21%)1471 (10%)463 (3%)
Nephrology4508 (55%)3388 (41%)3132 (38%)2054 (25%)1326 (16%)198 (2%)
Neurology2420 (42%)1789 (31%)1625 (28%)851 (15%)699 (12%)174 (3%)
Geriatrics1020 (33%)785 (25%)596 (19%)404 (13%)196 (6%)41 (1%)

The HS‐PIM prescribing varied substantially by attending specialty (Fig. 2). Internists, family practitioners, and hospitalists all had similar median rates (33%), cardiologists had a higher median rate (48%), and geriatricians had a lower rate (24%). The most common PIM also differed by specialty: whereas promethazine was the most commonly prescribed drug across most specialties, nephrologists and neurologists used clonidine, pulmonologists used lorazepam, and cardiologists used diphenhydramine most often. Among the 8% of physicians who saw at least 50 patients, there was also great variation in each specialty (Fig. 2). Among internists and cardiologists who saw at least 50 patients, the high‐severity PIM usage rate ranged from 0% to more than 90%.

Figure 2
Distribution of physician prescribing rates for high‐severity‐rated PIM by specialty for physicians treating at least 50 hospitalized patients during the study period (N, number of physicians in each specialty). The line in the middle of each box represents the median use rate across physicians, and the box extends to the interquartile range (IQR). The lines emerging from the box extend to the adjacent values. The upper adjacent value is defined as the largest data point less than or equal to the 75th percentile plus 1.5 times the IQR; the lower adjacent value is defined as the smallest data point greater than or equal to the 25th percentile minus 1.5 IQR. Observed points more extreme than the adjacent values are individually plotted.

There was substantial variation in PIM usage among hospitals, most notably by region. The mean proportion of patients receiving PIMs ranged from 34% at hospitals in the Northeast to 55% at hospitals in the South (Table 4). Smaller hospitals and those in urban settings had slightly lower rates, as did those that had geriatricians on staff. The teaching status of the hospital had little effect. Variation at the individual hospital level was extreme (Fig. 3). Although half of all hospitals had rates between 43% and 58%, in 7 hospitals with more than 300 encounters each, PIMs were never prescribed for geriatric patients.

Figure 3
Distribution of hospital use rates for each category of PIM among hospitals with at least 100 eligible patients during the study period. Thirteen hospitals (3%) and 324 patients (<0.1%) were excluded. For interpretation of the box plots, see Figure 2.
Percentage of Patients Prescribed Potentially Inappropriate Medication (PIM) by Hospital Characteristic
 Hospitals Total = 384 n (%)Patients N = 49,3971 n (%)Any PIM Mean = 48.2 Mean (SD)Any high‐severity PIM Mean = 38.7 Mean (SD)Sedatives Mean = 30.2 Mean (SD)Anticholinergic effects Mean = 21.5 Mean (SD)Causing orthostasis Mean = 8.5 Mean (SD)Causing bleeding Mean = 3.1 Mean (SD)
  • Note: P values from analysis of variance of hospital use rates for each hospital characteristic.

  • P < .05,

  • P < .001,

  • P < .0001.

Hospital region  *****************
Midwest76 (20%)95,791 (19%)38.8 (19.7)30.0 (16.4)24.3 (13.8)15.1 (9.9)6.9 (6.3)3.1 (2.3)
Northeast47 (12%)79,138 (16%)34.1 (12.6)26.2 (11.2)19.0 (9.2)13.5 (8.1)4.9 (2.3)2.1 (1.6)
South199 (52%)260,870 (53%)54.5 (10.1)42.7 (9.6)36.0 (10.8)26.4 (8.6)10.4 (4.6)3.6 (2.5)
West62 (16%)58,172 (12%)45.8 (8.1)37.4 (7.1)27.3 (7.7)19.5 (5.7)7.4 (4.8)2.7 (1.3)
Teaching status        
Nonteaching297 (77%)324,948 (66%)47.3 (14.6)36.9 (12.3)29.8 (12.0)21.3 (9.9)8.7 (5.4)3.3 (2.4)
Teaching87 (23%)169,023 (34%)48.2 (16.0)38.8 (14.2)31.6 (14.5)22.1 (10.2)7.8 (4.4)2.7 (1.5)
Staffed beds   ***   
22200143 (37%)80,741 (16%)45.5 (16.9)35.2 (14.6)27.5 (14.0)20.1 (10.3)8.0 (6.2)3.5 (3.1)
200400137 (36%)177,286 (36%)47.7 (14.2)37.8 (12.0)30.5 (11.6)22.0 (10.0)8.4 (4.7)3.0 (1.6)
400+104 (27%)235944 (48%)50.1 (12.4)39.6 (10.6)33.5 (10.9)22.7 (9.3)9.3 (4.2)2.9 (1.4)
Population serviced     ****
Rural119 (31%)102,799 (21%)48.4 (13.0)38.3 (10.6)29.2 (11.0)23.2 (9.3)7.5 (4.0)3.7 (3.0)
Urban265 (69%)391,172 (79%)47.1 (15.7)36.9 (13.7)30.6 (13.2)20.7 (10.2)9.0 (5.6)2.9 (1.8)
Geriatrician presence        
No340 (89%)409,281 (83%)47.7 (15.3)37.6 (13.0)30.3 (12.8)21.7 (10.0)8.4 (5.3)3.2 (2.3)
Yes44 (11%)84,690 (17%)45.8 (11.4)35.5 (10.6)29.4 (10.8)19.6 (9.4)9.3 (4.3)2.9 (1.6)

Multivariable Model

In a multivariable logit model that included all patient, hospital, and physician characteristics and that accounted for clustering at the hospital, physician, and diagnosis levels, several characteristics were associated with HS‐PIM prescribing (Table 5). By far the most important predictor of use was hospital region. Compared with patients at hospitals in the Midwest, patients in the South (OR 1.63, 95% CI 1.591.67) and West (OR 1.43, 95% CI 1.381.47) were more likely and those in the Northeast were less likely (OR 0.85, 95% CI 0.830.88) to receive HS‐PIMs. Larger hospitals had higher HS‐PIM rates than smaller ones, but teaching status and rural or urban setting were not associated with HS‐PIM prescribing. The presence of geriatricians in a hospital was also associated with lower HS‐PIM prescribing for the entire hospital.

Adjusted Odds Ratio Estimates for High‐Severity PIM Use
Effect (reference)Odds ratio95% Confidence limits
Age   
6574 years1.00  
7584 years0.830.820.84
85+ years0.590.580.61
Sex   
Female1.00  
Male0.850.830.86
Race   
White1.00  
Black0.780.760.80
Hispanic0.840.810.87
American Indian0.970.881.07
Asian/Pacific Islander0.740.700.79
Other0.940.920.97
Marital Status   
Married/partner1.00  
Single/separated/divorced0.960.940.98
Widowed0.960.950.98
Other0.930.900.95
Primary diagnosis   
Pneumonia1.00  
COPD0.830.810.85
Heart failure1.141.121.16
Ischemic stroke0.840.820.86
Acute MI1.951.902.01
Urinary tract infection1.061.031.09
Chest pain0.870.840.89
Comorbidities (yes or no)   
Hypertension0.980.970.99
Diabetes0.980.971.00
Chronic lung disease1.111.101.13
Fluid and electrolyte disorders1.261.241.27
Anemia deficiencies1.171.151.18
Congestive heart failure1.341.321.37
Hypothyroidism1.131.111.15
Peripheral vascular disease1.091.061.11
Depression1.381.351.41
Neurological disorders0.890.870.91
Renal failure1.231.201.26
Obesity1.111.081.14
Payer type   
Managed care1.00  
Not managed care1.041.021.06
Attending physician specialty   
Internal medicine1.00  
Cardiology1.321.281.36
Family/general medicine0.990.971.01
Geriatrics0.690.610.78
Hospitalist0.900.840.96
Nephrology1.020.961.08
Neurology0.930.861.00
Pulmonology1.101.051.15
Setting   
Rural1.00  
Urban1.021.001.05
 
Teaching status   
Nonteaching1.00  
Teaching1.010.981.03
Number of beds   
222001.00  
2004001.081.051.11
400+1.121.091.16
Region   
Midwest1.00  
Northeast0.850.830.88
South1.631.591.67
West1.431.381.47
Geriatrician presence   
No1.00  
Yes0.930.900.95

Physician specialty was also important. Adjusting for diagnosis attenuated some of this association, but compared with internists, cardiologists (OR 1.32, 95% CI 1.281.36) and pulmonologists (OR 1.10, 95% CI 1.051.15) were still more likely, hospitalists (OR 0.90, 95% CI 0.840.96) were less likely, and geriatricians (0.69, 95% CI 0.610.78) were least likely to prescribe any HS‐PIM.

Patient factors were also associated with HS‐PIM use. Compared with patients age 6574 years, patients older than 85 years were much less likely to receive an HS‐PIM (OR 0.59, CI 0.580.61), as to a lesser extent were nonwhites compared with whites and unmarried people compared with those who were married. Compared with patients with pneumonia, those with COPD, stroke, or chest pain were less likely and those with myocardial infarction and congestive heart failure were more likely to receive HS‐PIMs. Patients with a secondary diagnosis of depression were also at high risk (OR 1.38, CI 1.351.41).

DISCUSSION

Although Americans age 65 years and older make up less than 15% of the U.S. population, they consume about one third of all prescription drugs20 and account for one third of all hospital admissions.21 Using the Beers list, numerous studies have documented high rates of potentially inappropriate prescribing for community‐dwelling elderly and nursing home patients and, in some studies, an attendant risk of falling,2224 hip fracture,25, 26 hospitalization,13 or death.14 Applying these same criteria to a large sample of medical inpatients, we found that almost half received a potentially inappropriate drug, most of high severity. Moreover, the PIM prescribing rate varied substantially by region, hospital, and attending physician specialty. Although the use of PIMs was associated with patient age, comorbidities, and primary diagnosis, these patient factors explained only a small portion of the variation in prescribing practices across groups of physicians and hospitals.

Using consensus criteria, Beers originally found that 40% of the residents in 12 nursing homes received at least 1 PIM,8 and studies of community‐dwelling elderly demonstrated rates of 21% to 37%, with little change over time.6, 27, 28 Several small studies have examined inpatient prescribing.16, 17, 29, 30 The largest17 found that only 15% of elderly Italian inpatients received a PIM. Our finding, that 49% of inpatients had received at least 1 PIM, may partially reflect the high prevalence of use among elderly US patients in nursing homes and the community.

Regional variation has been demonstrated for ambulatory patients in the US6 and Europe.31 Zhan et al. found slightly higher rates of PIM use in the Midwest and the South (23%) than in the Northeast and the West (19%). Variation in Europe was greater, with 41% of patients in the Czech Republic versus 5.8% of patients in Denmark receiving at least 1 PIM. We found that region was the strongest predictor of in‐hospital HS‐PIM use, with patients in the South most likely and patients in the Northeast least likely to receive HS‐PIMs. This variation persisted even after adjusting for differences in other patient and hospital factors, suggesting that local custom played a large role in the decision to prescribe HS‐PIMs. Moreover, because outpatient rates are more uniform, these large differences seem limited to inpatient practice.

Patient factors have also been examined. Advanced age was associated with decreased PIM use in some studies17, 28, 31 but not in others.6, 27 We found increasing age to be strongly associated with decreased PIM use, suggesting that in the hospital, at least, doctors take care to avoid prescribing certain drugs to the frail elderly. Women appear to be consistently at higher risk than men,6, 27, 28, 31 and white patients are more at risk than those of other races.6 Our finding that certain diagnoses were associated with higher or lower rates has not been reported previously. The lower rates associated with stroke and COPD suggest that prescribers were aware that these patients were at increased risk of delirium and respiratory depression. The higher rates associated with myocardial infarction may have to do with the use of standardized order sets (eg, cath lab orders) that do not consider the age of the patient going for the procedure.

Admission to a geriatric service32 and intervention by a clinical pharmacist33 have been shown to decrease PIM prescribing at discharge. We noted that patients cared for by a geriatrician had the lowest rates of PIM prescribing during hospitalization as well and that hospitals with geriatricians had lower rates overall, possibly demonstrating that geriatricians had a ripple effect on their colleagues. Hospitalists also had lower rates than internists, supporting the notion that hospitalists provide higher‐quality inpatient care.

Our study had some important limitations. First, we only had access to inpatient administrative records. Thus, we could not identify which medications were continued from home and which were begun in the hospital, nor could we know the indications for which specific drugs were prescribed or who prescribed them. Based on published outpatient rates, however, we could assume that many of the drugs were started in the hospital and that others could have been discontinued but were not. Second, the Beers list was developed by the modified Delphi method; there was little empirical evidence of the danger of specific drugs, although some classes, such as benzodiazepines, opiates and digoxin, have been associated with inpatient falls.18, 3436 Furthermore, our administrative database did not allow us to balance the risks and benefits for particular patients; hence, the medications were only potentially inappropriate, and our study did not address the consequences of such prescribing. Although some of these drugs may be appropriate under certain circumstances, it is unlikely that these circumstances would vary by 60% across geographic regions or that internists would encounter these circumstances more often than do hospitalists. Thus, although we could not identify specific patients who received inappropriate medications, we did identify certain hospitals and even whole regions of the country in which the rate of inappropriate prescribing was high. Third, the Beers list, which was developed for outpatient use, may be less relevant in the inpatient setting. However, given that inpatients have more organ dysfunction and are at higher risk of delirium and falls, it may actually be more applicable to hospitalized patients. We similarly did not distinguish between single and multiple doses because the Beers list does not make such a distinction, and there is no empirical evidence that a single dose is safe. Indeed, patients are often at highest risk of falls immediately after initiation of therapy.3739 We did, however, exclude drugs such as laxatives, which may be appropriate for brief inpatient use but not for chronic use.

Our study also had a number of strengths. The large sample size, representing approximately 5% of annual inpatient admissions in the US over 2 years, offered an instructive look at the recent prescribing patterns of thousands of US physicians. We were able to identify many patient, physician, and hospital factors associated with PIM prescribing that have not previously been reported. Some of these factors, such as advanced age and comorbid diagnoses, suggest that physicians do tailor their treatment to individual patients. Nevertheless, patient factors accounted for only a small portion of the variation in prescribing. The largest variation, associated with regional, hospital, and physician factors, highlights the opportunity for improvement.

At the same time, our findings are encouraging for 2 reasons. First, most inappropriate prescribing involved only a handful of medications, so small changes in prescribing patterns could have a tremendous impact. Second, observing the practice of individual physicians and hospitals reveals what is possible. We found that in most specialties there were physicians who rarely or never used PIMs. We also found 7 hospitals, each with at least 300 cases, where no PIMs were ever prescribed.

Where should hospitals focus their efforts to prevent inappropriate prescribing? Our data highlight the complexity of the problem, which seems daunting. PIM prescribing is spread across all specialties, including geriatrics, and although cardiologists had the highest rate of prescribing, internists, who were more numerous, accounted for a much higher overall number of potentially inappropriate prescriptions. It would be instructive to study the 7 hospitals where PIMs were never prescribed or to interview those physicians who never prescribed PIMs, but the anonymous nature of our data would not allow for this. However, our data do suggest some directions. First, hospitals should become aware of their own rates of PIM use because measurement is the first step in quality improvement. Next, hospitals should focus efforts on reducing the use of the most common drugs. Eliminating just 3 drugs promethazine, diphenhydramine, and propoxyphenewould reduce the use of PIMs in 24% of elderly patients. Enlisting hospital pharmacists and electronic health records and reviewing standard order sets for elderly patients are potentially effective strategies. Finally, increasing the presence of geriatricians and hospitalists would be expected to have a modest impact.

In a representative sample of elderly inpatients, we found that almost half received a potentially inappropriate medication and that the rate of inappropriate prescribing varied widely among doctors and hospitals. Additional research is needed to distinguish which of the Beers drugs are most harmful and which patients are at highest risk. Research should also focus on understanding differences in prescribing patterns, perhaps by studying the outliers at both ends of the quality spectrum, and on techniques to minimize non‐patient‐centered variation.

Medications can be considered inappropriate when their risk outweighs their benefit. The Beers list1 identifies medications that should be avoided in persons 65 years or older because they are ineffective or pose an unnecessarily high risk or because a safer alternative is available. Initially developed in 1991, the list has gained wide acceptance and has been updated twice.2, 3 In July 1999 it was adopted by the Centers for Medicare & Medicaid Services (CMS) for nursing home regulation, and in 2006 the National Committee on Quality Assurance adopted a modified version as a Health Plan Employer Data and Information Set (HEDIS) measure of quality of care for older Americans.4

A number of studies have demonstrated that inappropriate prescribing is common in the ambulatory setting,57 in nursing homes,8, 9 and in emergency departments10, 11 and that exposure to inappropriate medications is associated with increased risk of adverse drug reactions12 and hospitalization.13, 14 Initial studies of hospitalized patients1517 suggest that potentially inappropriate prescribing is also common among elderly inpatients and that reducing the misuse of psychotropic medications can prevent falls.18 We report on the incidence of and risk factors associated with potentially inappropriate prescribing in a large sample of hospitalized elders.

METHODS

Patients

We conducted a retrospective cohort study using data from 384 hospitals participating in Perspective (Premier, Inc., Charlotte, NC), a database developed for measuring quality and health care utilization. Participating hospitals represent all regions of the United States and are primarily small‐ to medium‐sized nonteaching hospitals most of which are in urban areas. Premier collects data elements from participating hospitals via a custom data extract from hospitals' decision support system. Hospitals aggregate the data elements into their decision support systems from multiple information technology systems including billing, medical records, pharmacy, and laboratory systems. In addition to the information contained in the standard hospital discharge file, Perspective includes a date‐stamped log of all billed items, including medications with dose and quantity, for individual patients.

We included patients at least 65 years old admitted between September 1, 2002, and June 30, 2005, with a principal diagnosis of acute myocardial infarction, chronic obstructive pulmonary disease, chest pain, community‐acquired pneumonia, congestive heart failure, ischemic stroke, or urinary tract infection. International Classification of Diseases, Ninth Revision (ICD‐9‐CM) codes were used to identify diagnoses. Patients cared for by an attending physician with a surgical specialty were excluded. The study protocol was approved by the institutional review board of Baystate Medical Center.

Data Elements

For each patient, Perspective contains fields for age, sex, race, marital status, insurance status, principal diagnosis, comorbidities, and specialty of the attending physician. Comorbidities were identified from ICD‐9‐CM secondary diagnosis codes and APR‐DRGs using Healthcare Cost and Utilization Project Comorbidity Software, version 3.1, based on the work of Elixhauser.19 Because almost all patients had Medicare coverage, plans were classified according to managed care status. Finally, for each patient we identified all medications administered, as well as discharge status, readmission rate, total costs, and length of stay. Hospitals were categorized by region (Northeast, South, Midwest, or West), bed size, setting (urban or rural), teaching status, and whether there were geriatricians.

Potentially Inappropriate Prescribing

Using the 2002 updated Beers criteria3 for potentially inappropriate medication (PIM) use in older adults, we identified the total number of PIMs administered to each patient during his or her hospital stay. We classified each PIM as either high or low severity based on the expert consensus expressed in the 1997 update of the Beers criteria.2 The list contains 48 PIMs and an additional 20 that should be avoided in patients with certain conditions. We did not include the second category of PIMs because we did not necessarily have sufficient patient information to make this determination. In addition, some of the standard PIMs, such as laxatives, although inappropriate for chronic outpatient use, could be appropriate in the hospital setting and were excluded from this analysis. Finally, several medications were considered inappropriate only above a given threshold (eg, lorazepam >3.0 mg/day) or for patients without a specific diagnosis (eg, digoxin >0.125 mg/day for patients without atrial fibrillation). We grouped PIMs that had similar side effects into 4 categories: sedatives, anticholinergics, causing orthostasis, or causing bleeding (Fig. 1).

Figure 1
Beers list of potentially inappropriate medications modified for hospitalized patients >65 years old.

Statistical Analysis

Summary statistics at the patient, physician, and hospital levels were constructed using frequencies and proportions for categorical data and means, standard deviations, medians, interquartile ranges, and box plots for continuous‐scale variables. Patients were identified as receiving a PIM if the drug was administered (above threshold dose where applicable) on at least 1 hospital day. We examined the association of each patient characteristic with use of any PIM, any high‐severity‐rated PIM, and each side effect category using chi‐square statistics. Kruskal‐Wallis analysis of variance was used to examine variation in hospital use rates by each hospital characteristic, and physician use rates for high‐severity PIMs by attending specialty. To examine whether it was feasible to avoid PIMs altogether, we compared individual hospitals as well as individual prescribers within their specialty, limiting the comparison to hospitals that contributed at least 100 patients and to physicians with at least 50 patients.

We developed a multivariable model for any high‐severity medication (HS‐PIM) use that included all patient, physician, and hospital characteristics except length of stay, mortality, cost, discharge status, and readmission rate. A generalized estimating equation model (SAS PROC GENMOD) with a logit link and a subcluster correlation structure was used to account for clustering at the hospital, physician, and diagnosis levels, adjusting for the clustering of primary diagnosis within physician level, nested within hospital level. Effects with P < .10 were retained in the model, and interaction effects were also evaluated for significance. Model fit was assessed using deviance and Pearson chi‐square statistics. All analyses were performed with SAS statistical software, version 9.1 (SAS Institute, Cary, NC).

RESULTS

We identified 519,853 patients at least 65 years old during the study period; 564 were excluded because of missing data for key variables or unclear principal diagnosis. An additional 25,318 were excluded because they were cared for by an attending with a surgical specialty. A total of 493,971 patients were included in the study (Table 1). Mean age was 78 years, and 24% of patients were 85 years or older. Forty‐three percent were male, 71% were white, and 39% were currently married. The most common principal diagnoses were community‐acquired pneumonia, congestive heart failure, and acute myocardial infarction. The most common comorbidities were hypertension, diabetes, and chronic pulmonary disease. Medicare was the primary payer for 91% of subjects, and 13% were in managed care plans. Most patients were cared for by internists (49%), family practitioners (18%), or cardiologists (17%). Only 1% of patients had a geriatrician as attending.

Characteristics of 493,971 Older Patients Hospitalized with 1 of 7 Common Medical Conditions
Characteristicn (%)
  • Other physician category includes 42 specialties.

Age group 
6574 years168,527 (34%)
7584 years206,407 (42%)
85+ years119,037 (24%)
Sex 
Male212,358 (43%)
Female281,613 (57%)
Race 
White351,331 (71%)
Black52,429 (11%)
Hispanic18,057 (4%)
American Indian1876 (0%)
Asian/Pacific Islander5926 (1%)
Other64,352 (13%)
Marital status 
Married/partner194,496 (39%)
Widowed155,273 (31%)
Single/separated/divorced75,964 (15%)
Other68,238 (14%)
Primary diagnosis 
Pneumonia122,732 (25%)
Heart failure109,071 (22%)
Acute MI70,581 (14%)
Ischemic stroke57,204 (12%)
Chest pain50,404 (10%)
COPD44,582 (9%)
Urinary tract infection39,397 (8%)
Comorbidities 
Hypertension310,163 (63%)
Diabetes151,755 (31%)
Chronic pulmonary disease134,900 (27%)
Fluid and electrolyte disorders128,703 (26%)
Deficiency anemias92,668 (19%)
Congestive heart failure69,201 (14%)
Hypothyroidism68,711 (14%)
Peripheral vascular disease47,244 (10%)
Depression41,507 (8%)
Other neurological disorders40,200 (8%)
Renal failure38,134 (8%)
Obesity25,143 (5%)
Payer type 
Not Managed care431,583 (87%)
Managed care62,388 (13%)
Attending physician specialty 
Internal medicine (internist)241,982 (49%)
Family/general medicine90,827 (18%)
Cardiology83,317 (17%)
Pulmonology21,163 (4%)
Hospitalist14,924 (3%)
Nephrology8257 (2%)
Neurology5800 (1%)
Geriatrics3099 (1%)
Other*24,602 (5%)
 
Mortality 
Expired28,321 (6%)
Alive465,650 (94%)
Discharge status, n (% of survivors) 
Home323,629 (66%)
Nursing care119,468 (24%)
Transfer/short‐term hospital13,531 (3%)
Hospice9022 (2%)
14‐Day readmission, n (% of survivors) 
Yes35,309 (8%)
No430,334 (92%)
Length of stay (days), median (IQR)4 (2, 7)
Total cost (dollars)$5513 ($3366, $9902)

Just under half of all patients (49%) received at least 1 PIM, and 6% received 3 or more (Table 2). Thirty‐eight percent received at least 1 drug with a high severity rating (HS‐PIM). The most common PIMs were promethazine, diphenhydramine, propoxyphene, clonidine, amiodarone, and lorazepam (>3 mg/day).

Number and Type of Potentially Inappropriate Medications (PIMs) Prescribed
 Patients, n (%)
Number of PIMs 
0254,200 (51%)
1146,028 (30%)
261,445 (12%)
322,128 (4%)
4+10,170 (2%)
Number of high‐severity‐rated PIMs 
0304,523 (62%)
1129,588 (26%)
243,739 (9%)
312,213 (2%)
4+3908 (1%)
Use of any PIM by side effect class 
Sedatives156,384 (32%)
Anticholinergic effects109,293 (22%)
Causing orthostasis43,805 (9%)
Causing bleeding14,744 (3%)
Most commonly prescribed 
Promethazine49,888 (10%)
Diphenhydramine45,458 (9%)
Propoxyphene41,786 (8%)
Clonidine34,765 (7%)
Amiodarone34,318 (7%)
Lorazepam (>3 mg/day)25,147 (5%)

Patient, Physician, and Hospital Factors Associated with PIMs

Patient, physician, and hospital characteristics were all associated with use of PIMs (Table 3). In univariate analyses, older patients were less likely to receive any class of PIM, and this difference was accentuated for HS‐PIMs. Women, American Indians, married people, and those not in managed care plans were slightly more likely to receive PIMs, whereas patients admitted with acute myocardial infarction or congestive heart failure were even more likely to receive PIMs (P < .0001 for all comparisons).

Potentially Inappropriate Medication Use by Patient Characteristic
Patient characteristicAny PIM n (row %)Any high‐severity PIM n (row %)Sedatives n (row %)Anticholinergic effects n (row %)Causing orthostasis n (row %)Causing bleeding n (row %)
  • An additional 24,602 patients (5%) seen by 42 additional physician specialties were excluded from this analysis.

  • Chi‐square tests indicated all differences by patient characteristics were significant at P < .0001 except there was no significant difference by managed care status for use rates of drugs potentially causing orthostasis or drugs potentially causing bleeding.

Overall239,771 (49%)189,448 (38%)156,384 (32%)109,293 (22%)43,805 (9%)14,744 (3%)
Age group
6574 years89,168 (53%)72,573 (43%)61,399 (36%)44,792 (27%)15,799 (9%)6655 (4%)
7584 years100,787 (49%)79,595 (39%)65,034 (32%)45,121 (22%)18,519 (9%)5727 (3%)
85+ years49,816 (42%)37,280 (31%)29,951 (25%)19,380 (16%)9487 (8%)2362 (2%)
Sex
Male100,824 (47%)79,535 (37%)63,591 (30%)42,754 (20%)17,885 (8%)5771 (3%)
Female138,947 (49%)109,913 (39%)92,793 (33%)66,539 (24%)25,920 (9%)8973 (3%)
Race
White173,481 (49%)139,941 (40%)112,556 (32%)81,097 (23%)27,555 (8%)10,590 (3%)
Black26,793 (51%)18,655 (36%)18,720 (36%)11,263 (21%)8925 (17%)1536 (3%)
Hispanic8509 (47%)6370 (35%)5549 (31%)3505 (19%)2047 (11%)648 (4%)
American Indian1091 (58%)849 (45%)818 (44%)563 (30%)190 (10%)76 (4%)
Asian/Pacific Islander2386 (40%)1896 (32%)1420 (24%)1023 (17%)519 (9%)127 (2%)
Other27,511 (43%)21,737 (34%)17,321 (27%)11,842 (18%)4569 (7%)1767 (3%)
Marital status
Married/partner96,874 (50%)77,803 (40%)63,303 (33%)45,042 (23%)16,765 (9%)5969 (3%)
Widowed74,622 (48%)58,012 (37%)48,367 (31%)33,516 (22%)13,865 (9%)4354 (3%)
Single/separated/divorced36,583 (48%)28,799 (38%)24,251 (32%)16,115 (21%)7229 (10%)2399 (3%)
Other31,692 (46%)24,834 (36%)20,463 (30%)14,620 (21%)5946 (9%)2022 (3%)
Primary diagnosis
Pneumonia56,845 (46%)46,271 (38%)35,353 (29%)25,484 (21%)9184 (7%)4155 (3%)
Heart failure56,460 (52%)42,231 (39%)34,340 (31%)22,093 (20%)10,117 (9%)1945 (2%)
Acute MI43,046 (61%)37,849 (54%)32,560 (46%)25,568 (36%)4738 (7%)2549 (4%)
Ischemic stroke25,763 (45%)17,613 (31%)18,500 (32%)8742 (15%)9644 (17%)1384 (2%)
Chest pain20,655 (41%)16,363 (32%)13,536 (27%)10,520 (21%)3474 (7%)2027 (4%)
COPD18,876 (42%)14,626 (33%)12,087 (27%)8096 (18%)3209 (7%)1139 (3%)
Urinary tract infection18,126 (46%)14,495 (37%)10,008 (25%)8790 (22%)3439 (9%)1545 (4%)
Payer type
Nonmanaged care212,150 (49%)168,013 (39%)138,679 (32%)97,776 (23%)38,341 (9%)12,868 (3%)
Managed care27,621 (44%)21,435 (34%)17,705 (28%)11,517 (18%)5464 (9%)1876 (3%)
Attending physician specialty*
Internal medicine (internist%)112,664 (47%)86,907 (36%)71,382 (30%)48,746 (20%)23,221 (10%)7086 (3%)
Family/general medicine41,303 (45%)32,338 (36%)25,653 (28%)18,274 (20%)7660 (8%)2852 (3%)
Cardiology48,485 (58%)40,752 (49%)34,859 (42%)25,792 (31%)5455 (7%)2542 (3%)
Pulmonology10,231 (48%)8105 (38%)6746 (32%)4064 (19%)1739 (8%)574 (3%)
Hospitalist7003 (47%)5443 (36%)4447 (30%)3179 (21%)1471 (10%)463 (3%)
Nephrology4508 (55%)3388 (41%)3132 (38%)2054 (25%)1326 (16%)198 (2%)
Neurology2420 (42%)1789 (31%)1625 (28%)851 (15%)699 (12%)174 (3%)
Geriatrics1020 (33%)785 (25%)596 (19%)404 (13%)196 (6%)41 (1%)

The HS‐PIM prescribing varied substantially by attending specialty (Fig. 2). Internists, family practitioners, and hospitalists all had similar median rates (33%), cardiologists had a higher median rate (48%), and geriatricians had a lower rate (24%). The most common PIM also differed by specialty: whereas promethazine was the most commonly prescribed drug across most specialties, nephrologists and neurologists used clonidine, pulmonologists used lorazepam, and cardiologists used diphenhydramine most often. Among the 8% of physicians who saw at least 50 patients, there was also great variation in each specialty (Fig. 2). Among internists and cardiologists who saw at least 50 patients, the high‐severity PIM usage rate ranged from 0% to more than 90%.

Figure 2
Distribution of physician prescribing rates for high‐severity‐rated PIM by specialty for physicians treating at least 50 hospitalized patients during the study period (N, number of physicians in each specialty). The line in the middle of each box represents the median use rate across physicians, and the box extends to the interquartile range (IQR). The lines emerging from the box extend to the adjacent values. The upper adjacent value is defined as the largest data point less than or equal to the 75th percentile plus 1.5 times the IQR; the lower adjacent value is defined as the smallest data point greater than or equal to the 25th percentile minus 1.5 IQR. Observed points more extreme than the adjacent values are individually plotted.

There was substantial variation in PIM usage among hospitals, most notably by region. The mean proportion of patients receiving PIMs ranged from 34% at hospitals in the Northeast to 55% at hospitals in the South (Table 4). Smaller hospitals and those in urban settings had slightly lower rates, as did those that had geriatricians on staff. The teaching status of the hospital had little effect. Variation at the individual hospital level was extreme (Fig. 3). Although half of all hospitals had rates between 43% and 58%, in 7 hospitals with more than 300 encounters each, PIMs were never prescribed for geriatric patients.

Figure 3
Distribution of hospital use rates for each category of PIM among hospitals with at least 100 eligible patients during the study period. Thirteen hospitals (3%) and 324 patients (<0.1%) were excluded. For interpretation of the box plots, see Figure 2.
Percentage of Patients Prescribed Potentially Inappropriate Medication (PIM) by Hospital Characteristic
 Hospitals Total = 384 n (%)Patients N = 49,3971 n (%)Any PIM Mean = 48.2 Mean (SD)Any high‐severity PIM Mean = 38.7 Mean (SD)Sedatives Mean = 30.2 Mean (SD)Anticholinergic effects Mean = 21.5 Mean (SD)Causing orthostasis Mean = 8.5 Mean (SD)Causing bleeding Mean = 3.1 Mean (SD)
  • Note: P values from analysis of variance of hospital use rates for each hospital characteristic.

  • P < .05,

  • P < .001,

  • P < .0001.

Hospital region  *****************
Midwest76 (20%)95,791 (19%)38.8 (19.7)30.0 (16.4)24.3 (13.8)15.1 (9.9)6.9 (6.3)3.1 (2.3)
Northeast47 (12%)79,138 (16%)34.1 (12.6)26.2 (11.2)19.0 (9.2)13.5 (8.1)4.9 (2.3)2.1 (1.6)
South199 (52%)260,870 (53%)54.5 (10.1)42.7 (9.6)36.0 (10.8)26.4 (8.6)10.4 (4.6)3.6 (2.5)
West62 (16%)58,172 (12%)45.8 (8.1)37.4 (7.1)27.3 (7.7)19.5 (5.7)7.4 (4.8)2.7 (1.3)
Teaching status        
Nonteaching297 (77%)324,948 (66%)47.3 (14.6)36.9 (12.3)29.8 (12.0)21.3 (9.9)8.7 (5.4)3.3 (2.4)
Teaching87 (23%)169,023 (34%)48.2 (16.0)38.8 (14.2)31.6 (14.5)22.1 (10.2)7.8 (4.4)2.7 (1.5)
Staffed beds   ***   
22200143 (37%)80,741 (16%)45.5 (16.9)35.2 (14.6)27.5 (14.0)20.1 (10.3)8.0 (6.2)3.5 (3.1)
200400137 (36%)177,286 (36%)47.7 (14.2)37.8 (12.0)30.5 (11.6)22.0 (10.0)8.4 (4.7)3.0 (1.6)
400+104 (27%)235944 (48%)50.1 (12.4)39.6 (10.6)33.5 (10.9)22.7 (9.3)9.3 (4.2)2.9 (1.4)
Population serviced     ****
Rural119 (31%)102,799 (21%)48.4 (13.0)38.3 (10.6)29.2 (11.0)23.2 (9.3)7.5 (4.0)3.7 (3.0)
Urban265 (69%)391,172 (79%)47.1 (15.7)36.9 (13.7)30.6 (13.2)20.7 (10.2)9.0 (5.6)2.9 (1.8)
Geriatrician presence        
No340 (89%)409,281 (83%)47.7 (15.3)37.6 (13.0)30.3 (12.8)21.7 (10.0)8.4 (5.3)3.2 (2.3)
Yes44 (11%)84,690 (17%)45.8 (11.4)35.5 (10.6)29.4 (10.8)19.6 (9.4)9.3 (4.3)2.9 (1.6)

Multivariable Model

In a multivariable logit model that included all patient, hospital, and physician characteristics and that accounted for clustering at the hospital, physician, and diagnosis levels, several characteristics were associated with HS‐PIM prescribing (Table 5). By far the most important predictor of use was hospital region. Compared with patients at hospitals in the Midwest, patients in the South (OR 1.63, 95% CI 1.591.67) and West (OR 1.43, 95% CI 1.381.47) were more likely and those in the Northeast were less likely (OR 0.85, 95% CI 0.830.88) to receive HS‐PIMs. Larger hospitals had higher HS‐PIM rates than smaller ones, but teaching status and rural or urban setting were not associated with HS‐PIM prescribing. The presence of geriatricians in a hospital was also associated with lower HS‐PIM prescribing for the entire hospital.

Adjusted Odds Ratio Estimates for High‐Severity PIM Use
Effect (reference)Odds ratio95% Confidence limits
Age   
6574 years1.00  
7584 years0.830.820.84
85+ years0.590.580.61
Sex   
Female1.00  
Male0.850.830.86
Race   
White1.00  
Black0.780.760.80
Hispanic0.840.810.87
American Indian0.970.881.07
Asian/Pacific Islander0.740.700.79
Other0.940.920.97
Marital Status   
Married/partner1.00  
Single/separated/divorced0.960.940.98
Widowed0.960.950.98
Other0.930.900.95
Primary diagnosis   
Pneumonia1.00  
COPD0.830.810.85
Heart failure1.141.121.16
Ischemic stroke0.840.820.86
Acute MI1.951.902.01
Urinary tract infection1.061.031.09
Chest pain0.870.840.89
Comorbidities (yes or no)   
Hypertension0.980.970.99
Diabetes0.980.971.00
Chronic lung disease1.111.101.13
Fluid and electrolyte disorders1.261.241.27
Anemia deficiencies1.171.151.18
Congestive heart failure1.341.321.37
Hypothyroidism1.131.111.15
Peripheral vascular disease1.091.061.11
Depression1.381.351.41
Neurological disorders0.890.870.91
Renal failure1.231.201.26
Obesity1.111.081.14
Payer type   
Managed care1.00  
Not managed care1.041.021.06
Attending physician specialty   
Internal medicine1.00  
Cardiology1.321.281.36
Family/general medicine0.990.971.01
Geriatrics0.690.610.78
Hospitalist0.900.840.96
Nephrology1.020.961.08
Neurology0.930.861.00
Pulmonology1.101.051.15
Setting   
Rural1.00  
Urban1.021.001.05
 
Teaching status   
Nonteaching1.00  
Teaching1.010.981.03
Number of beds   
222001.00  
2004001.081.051.11
400+1.121.091.16
Region   
Midwest1.00  
Northeast0.850.830.88
South1.631.591.67
West1.431.381.47
Geriatrician presence   
No1.00  
Yes0.930.900.95

Physician specialty was also important. Adjusting for diagnosis attenuated some of this association, but compared with internists, cardiologists (OR 1.32, 95% CI 1.281.36) and pulmonologists (OR 1.10, 95% CI 1.051.15) were still more likely, hospitalists (OR 0.90, 95% CI 0.840.96) were less likely, and geriatricians (0.69, 95% CI 0.610.78) were least likely to prescribe any HS‐PIM.

Patient factors were also associated with HS‐PIM use. Compared with patients age 6574 years, patients older than 85 years were much less likely to receive an HS‐PIM (OR 0.59, CI 0.580.61), as to a lesser extent were nonwhites compared with whites and unmarried people compared with those who were married. Compared with patients with pneumonia, those with COPD, stroke, or chest pain were less likely and those with myocardial infarction and congestive heart failure were more likely to receive HS‐PIMs. Patients with a secondary diagnosis of depression were also at high risk (OR 1.38, CI 1.351.41).

DISCUSSION

Although Americans age 65 years and older make up less than 15% of the U.S. population, they consume about one third of all prescription drugs20 and account for one third of all hospital admissions.21 Using the Beers list, numerous studies have documented high rates of potentially inappropriate prescribing for community‐dwelling elderly and nursing home patients and, in some studies, an attendant risk of falling,2224 hip fracture,25, 26 hospitalization,13 or death.14 Applying these same criteria to a large sample of medical inpatients, we found that almost half received a potentially inappropriate drug, most of high severity. Moreover, the PIM prescribing rate varied substantially by region, hospital, and attending physician specialty. Although the use of PIMs was associated with patient age, comorbidities, and primary diagnosis, these patient factors explained only a small portion of the variation in prescribing practices across groups of physicians and hospitals.

Using consensus criteria, Beers originally found that 40% of the residents in 12 nursing homes received at least 1 PIM,8 and studies of community‐dwelling elderly demonstrated rates of 21% to 37%, with little change over time.6, 27, 28 Several small studies have examined inpatient prescribing.16, 17, 29, 30 The largest17 found that only 15% of elderly Italian inpatients received a PIM. Our finding, that 49% of inpatients had received at least 1 PIM, may partially reflect the high prevalence of use among elderly US patients in nursing homes and the community.

Regional variation has been demonstrated for ambulatory patients in the US6 and Europe.31 Zhan et al. found slightly higher rates of PIM use in the Midwest and the South (23%) than in the Northeast and the West (19%). Variation in Europe was greater, with 41% of patients in the Czech Republic versus 5.8% of patients in Denmark receiving at least 1 PIM. We found that region was the strongest predictor of in‐hospital HS‐PIM use, with patients in the South most likely and patients in the Northeast least likely to receive HS‐PIMs. This variation persisted even after adjusting for differences in other patient and hospital factors, suggesting that local custom played a large role in the decision to prescribe HS‐PIMs. Moreover, because outpatient rates are more uniform, these large differences seem limited to inpatient practice.

Patient factors have also been examined. Advanced age was associated with decreased PIM use in some studies17, 28, 31 but not in others.6, 27 We found increasing age to be strongly associated with decreased PIM use, suggesting that in the hospital, at least, doctors take care to avoid prescribing certain drugs to the frail elderly. Women appear to be consistently at higher risk than men,6, 27, 28, 31 and white patients are more at risk than those of other races.6 Our finding that certain diagnoses were associated with higher or lower rates has not been reported previously. The lower rates associated with stroke and COPD suggest that prescribers were aware that these patients were at increased risk of delirium and respiratory depression. The higher rates associated with myocardial infarction may have to do with the use of standardized order sets (eg, cath lab orders) that do not consider the age of the patient going for the procedure.

Admission to a geriatric service32 and intervention by a clinical pharmacist33 have been shown to decrease PIM prescribing at discharge. We noted that patients cared for by a geriatrician had the lowest rates of PIM prescribing during hospitalization as well and that hospitals with geriatricians had lower rates overall, possibly demonstrating that geriatricians had a ripple effect on their colleagues. Hospitalists also had lower rates than internists, supporting the notion that hospitalists provide higher‐quality inpatient care.

Our study had some important limitations. First, we only had access to inpatient administrative records. Thus, we could not identify which medications were continued from home and which were begun in the hospital, nor could we know the indications for which specific drugs were prescribed or who prescribed them. Based on published outpatient rates, however, we could assume that many of the drugs were started in the hospital and that others could have been discontinued but were not. Second, the Beers list was developed by the modified Delphi method; there was little empirical evidence of the danger of specific drugs, although some classes, such as benzodiazepines, opiates and digoxin, have been associated with inpatient falls.18, 3436 Furthermore, our administrative database did not allow us to balance the risks and benefits for particular patients; hence, the medications were only potentially inappropriate, and our study did not address the consequences of such prescribing. Although some of these drugs may be appropriate under certain circumstances, it is unlikely that these circumstances would vary by 60% across geographic regions or that internists would encounter these circumstances more often than do hospitalists. Thus, although we could not identify specific patients who received inappropriate medications, we did identify certain hospitals and even whole regions of the country in which the rate of inappropriate prescribing was high. Third, the Beers list, which was developed for outpatient use, may be less relevant in the inpatient setting. However, given that inpatients have more organ dysfunction and are at higher risk of delirium and falls, it may actually be more applicable to hospitalized patients. We similarly did not distinguish between single and multiple doses because the Beers list does not make such a distinction, and there is no empirical evidence that a single dose is safe. Indeed, patients are often at highest risk of falls immediately after initiation of therapy.3739 We did, however, exclude drugs such as laxatives, which may be appropriate for brief inpatient use but not for chronic use.

Our study also had a number of strengths. The large sample size, representing approximately 5% of annual inpatient admissions in the US over 2 years, offered an instructive look at the recent prescribing patterns of thousands of US physicians. We were able to identify many patient, physician, and hospital factors associated with PIM prescribing that have not previously been reported. Some of these factors, such as advanced age and comorbid diagnoses, suggest that physicians do tailor their treatment to individual patients. Nevertheless, patient factors accounted for only a small portion of the variation in prescribing. The largest variation, associated with regional, hospital, and physician factors, highlights the opportunity for improvement.

At the same time, our findings are encouraging for 2 reasons. First, most inappropriate prescribing involved only a handful of medications, so small changes in prescribing patterns could have a tremendous impact. Second, observing the practice of individual physicians and hospitals reveals what is possible. We found that in most specialties there were physicians who rarely or never used PIMs. We also found 7 hospitals, each with at least 300 cases, where no PIMs were ever prescribed.

Where should hospitals focus their efforts to prevent inappropriate prescribing? Our data highlight the complexity of the problem, which seems daunting. PIM prescribing is spread across all specialties, including geriatrics, and although cardiologists had the highest rate of prescribing, internists, who were more numerous, accounted for a much higher overall number of potentially inappropriate prescriptions. It would be instructive to study the 7 hospitals where PIMs were never prescribed or to interview those physicians who never prescribed PIMs, but the anonymous nature of our data would not allow for this. However, our data do suggest some directions. First, hospitals should become aware of their own rates of PIM use because measurement is the first step in quality improvement. Next, hospitals should focus efforts on reducing the use of the most common drugs. Eliminating just 3 drugs promethazine, diphenhydramine, and propoxyphenewould reduce the use of PIMs in 24% of elderly patients. Enlisting hospital pharmacists and electronic health records and reviewing standard order sets for elderly patients are potentially effective strategies. Finally, increasing the presence of geriatricians and hospitalists would be expected to have a modest impact.

In a representative sample of elderly inpatients, we found that almost half received a potentially inappropriate medication and that the rate of inappropriate prescribing varied widely among doctors and hospitals. Additional research is needed to distinguish which of the Beers drugs are most harmful and which patients are at highest risk. Research should also focus on understanding differences in prescribing patterns, perhaps by studying the outliers at both ends of the quality spectrum, and on techniques to minimize non‐patient‐centered variation.

References
  1. Beers MH,Ouslander JG,Rollingher I,Reuben DB,Brooks J,Beck JC.Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA Division of Geriatric Medicine.Arch Intern Med.1991;151:18251832.
  2. Beers MH.Explicit criteria for determining potentially inappropriate medication use by the elderly. An update.Arch Intern Med.1997;157:15311536.
  3. Fick DM,Cooper JW,Wade WE,Waller JL,Maclean JR,Beers MH.Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts.Arch Intern Med.2003;163:27162724.
  4. National Committee on Quality Assurance. Drugs to be Avoided in the Elderly. Available at: http://www.ncqa.org/Programs/HEDIS/2006/Volume2/NDC/DAE_06.xls. Accessed November 20,2006.
  5. Curtis LH,Ostbye T,Sendersky V, et al.Inappropriate prescribing for elderly Americans in a large outpatient population.Arch Intern Med.2004;164:16211625.
  6. Zhan C,Sangl J,Bierman AS, et al.Potentially inappropriate medication use in the community‐dwelling elderly: findings from the 1996 Medical Expenditure Panel Survey.JAMA.2001;286:28232829.
  7. Mort JR,Aparasu RR.Prescribing potentially inappropriate psychotropic medications to the ambulatory elderly.Arch Intern Med.2000;160:28252831.
  8. Beers MH,Ouslander JG,Fingold SF, et al.Inappropriate medication prescribing in skilled‐nursing facilities.Ann Intern Med.1992;117:684689.
  9. Perri M,Menon AM,Deshpande AD, et al.Adverse outcomes associated with inappropriate drug use in nursing homes.Ann Pharmacother.2005;39:405411.
  10. Caterino JM,Emond JA,Camargo CA.Inappropriate medication administration to the acutely ill elderly: a nationwide emergency department study, 1992–2000.J Am Geriatr Soc.2004;52:18471855.
  11. Chin MH,Wang LC,Jin L, et al.Appropriateness of medication selection for older persons in an urban academic emergency department.Acad Emerg Med.1999;6:12321242.
  12. Chang CM,Liu PY,Yang YH,Yang YC,Wu CF,Lu FH.Use of the Beers criteria to predict adverse drug reactions among first‐visit elderly outpatients.Pharmacotherapy.2005;25:831838.
  13. Klarin I,Wimo A,Fastbom J.The association of inappropriate drug use with hospitalisation and mortality: a population‐based study of the very old.Drugs Aging.2005;22(1):6982.
  14. Lau DT,Kasper JD,Potter DE,Lyles A,Bennett RG.Hospitalization and death associated with potentially inappropriate medication prescriptions among elderly nursing home residents.Arch Intern Med.2005;165(1):6874.
  15. Edwards RF,Harrison TM,Davis SM.Potentially inappropriate prescribing for geriatric inpatients: an acute care of the elderly unit compared to a general medicine service.Consult Pharm.2003;18(1):3742, 47–39.
  16. Hanlon JT,Artz MB,Pieper CF, et al.Inappropriate medication use among frail elderly inpatients.Ann Pharmacother.2004;38(1):914.
  17. Onder G,Landi F,Cesari M,Gambassi G,Carbonin P,Bernabei R.Inappropriate medication use among hospitalized older adults in Italy: results from the Italian Group of Pharmacoepidemiology in the Elderly.Eur J Clin Pharmacol.2003;59(2):157162.
  18. Peterson JF,Kuperman GJ,Shek C,Patel M,Avorn J,Bates DW.Guided prescription of psychotropic medications for geriatric inpatients.Arch Intern Med.2005;165:802807.
  19. Elixhauser A,Steiner C,Harris DR,Coffey RM.Comorbidity measures for use with administrative data.Med Care.1998;36(1):827.
  20. Soumerai SB,Ross‐Degnan D.Inadequate prescription‐drug coverage for Medicare enrollees—a call to action.N Engl J Med.1999;340:722728.
  21. National and regional estimates on hospital use for all patients from the HCUP Nationwide Inpatient Sample (NIS). Agency for Healthcare Research and Quality (AHRQ). Available at: http://hcupnet.ahrq.gov/HCUPnet.jsp. Accessed October 12,2006.
  22. French DD,Campbell R,Spehar A,Cunningham F,Bulat T,Luther SL.Drugs and falls in community‐dwelling older people: a national veterans study.Clin Ther.2006;28:619630.
  23. Landi F,Onder G,Cesari M,Barillaro C,Russo A,Bernabei R.Psychotropic medications and risk for falls among community‐dwelling frail older people: an observational study.J Gerontol A Biol Sci Med Sci.2005;60:622626.
  24. Leipzig RM,Cumming RG,Tinetti ME.Drugs and falls in older people: a systematic review and meta‐analysis: I. Psychotropic drugs.J Am Geriatr Soc.1999;47(1):3039.
  25. Kamal‐Bahl SJ,Stuart BC,Beers MH.Propoxyphene use and risk for hip fractures in older adults.Am J Geriatr Pharmacother.2006;4:219226.
  26. Ensrud KE,Blackwell T,Mangione CM, et al.Central nervous system active medications and risk for fractures in older women.Arch Intern Med.2003;163:949957.
  27. Simon SR,Chan KA,Soumerai SB, et al.Potentially inappropriate medication use by elderly persons in U.S. Health Maintenance Organizations, 2000–2001.J Am Geriatr Soc.2005;53:227232.
  28. Goulding MR.Inappropriate medication prescribing for elderly ambulatory care patients.Arch Intern Med.2004;164:305312.
  29. Passarelli MC,Jacob‐Filho W,Figueras A.Adverse drug reactions in an elderly hospitalised population: inappropriate prescription is a leading cause.Drugs Aging.2005;22:767777.
  30. Raivio MM,Laurila JV,Strandberg TE,Tilvis RS,Pitkala KH.Use of inappropriate medications and their prognostic significance among in‐hospital and nursing home patients with and without dementia in Finland.Drugs Aging.2006;23:333343.
  31. Fialova D,Topinkova E,Gambassi G, et al.Potentially inappropriate medication use among elderly home care patients in Europe.JAMA.2005;293:13481358.
  32. Laroche ML,Charmes JP,Nouaille Y,Fourrier A,Merle L.Impact of hospitalisation in an acute medical geriatric unit on potentially inappropriate medication use.Drugs Aging.2006;23(1):4959.
  33. Brown BK,Earnhart J.Pharmacists and their effectiveness in ensuring the appropriateness of the chronic medication regimens of geriatric inpatients.Consult Pharm.2004;19:432436.
  34. Passaro A,Volpato S,Romagnoni F,Manzoli N,Zuliani G,Fellin R.Benzodiazepines with different half‐life and falling in a hospitalized population: the GIFA study. Gruppo Italiano di Farmacovigilanza nell'Anziano.J Clin Epidemiol.2000;53:12221229.
  35. Gales BJ,Menard SM.Relationship between the administration of selected medications and falls in hospitalized elderly patients.Ann Pharmacother.1995;29:354358.
  36. Mendelson WB.The use of sedative/hypnotic medication and its correlation with falling down in the hospital.Sleep.1996;19:698701.
  37. Wagner AK,Zhang F,Soumerai SB, et al.Benzodiazepine use and hip fractures in the elderly: who is at greatest risk?Arch Intern Med.2004;164:15671572.
  38. Wang PS,Bohn RL,Glynn RJ,Mogun H,Avorn J.Hazardous benzodiazepine regimens in the elderly: effects of half‐life, dosage, and duration on risk of hip fracture.Am J Psychiatry.2001;158:892898.
  39. Tamblyn R,Abrahamowicz M,du Berger R,McLeod P,Bartlett G.A 5‐year prospective assessment of the risk associated with individual benzodiazepines and doses in new elderly users.J Am Geriatr Soc.2005;53:233241.
References
  1. Beers MH,Ouslander JG,Rollingher I,Reuben DB,Brooks J,Beck JC.Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA Division of Geriatric Medicine.Arch Intern Med.1991;151:18251832.
  2. Beers MH.Explicit criteria for determining potentially inappropriate medication use by the elderly. An update.Arch Intern Med.1997;157:15311536.
  3. Fick DM,Cooper JW,Wade WE,Waller JL,Maclean JR,Beers MH.Updating the Beers criteria for potentially inappropriate medication use in older adults: results of a US consensus panel of experts.Arch Intern Med.2003;163:27162724.
  4. National Committee on Quality Assurance. Drugs to be Avoided in the Elderly. Available at: http://www.ncqa.org/Programs/HEDIS/2006/Volume2/NDC/DAE_06.xls. Accessed November 20,2006.
  5. Curtis LH,Ostbye T,Sendersky V, et al.Inappropriate prescribing for elderly Americans in a large outpatient population.Arch Intern Med.2004;164:16211625.
  6. Zhan C,Sangl J,Bierman AS, et al.Potentially inappropriate medication use in the community‐dwelling elderly: findings from the 1996 Medical Expenditure Panel Survey.JAMA.2001;286:28232829.
  7. Mort JR,Aparasu RR.Prescribing potentially inappropriate psychotropic medications to the ambulatory elderly.Arch Intern Med.2000;160:28252831.
  8. Beers MH,Ouslander JG,Fingold SF, et al.Inappropriate medication prescribing in skilled‐nursing facilities.Ann Intern Med.1992;117:684689.
  9. Perri M,Menon AM,Deshpande AD, et al.Adverse outcomes associated with inappropriate drug use in nursing homes.Ann Pharmacother.2005;39:405411.
  10. Caterino JM,Emond JA,Camargo CA.Inappropriate medication administration to the acutely ill elderly: a nationwide emergency department study, 1992–2000.J Am Geriatr Soc.2004;52:18471855.
  11. Chin MH,Wang LC,Jin L, et al.Appropriateness of medication selection for older persons in an urban academic emergency department.Acad Emerg Med.1999;6:12321242.
  12. Chang CM,Liu PY,Yang YH,Yang YC,Wu CF,Lu FH.Use of the Beers criteria to predict adverse drug reactions among first‐visit elderly outpatients.Pharmacotherapy.2005;25:831838.
  13. Klarin I,Wimo A,Fastbom J.The association of inappropriate drug use with hospitalisation and mortality: a population‐based study of the very old.Drugs Aging.2005;22(1):6982.
  14. Lau DT,Kasper JD,Potter DE,Lyles A,Bennett RG.Hospitalization and death associated with potentially inappropriate medication prescriptions among elderly nursing home residents.Arch Intern Med.2005;165(1):6874.
  15. Edwards RF,Harrison TM,Davis SM.Potentially inappropriate prescribing for geriatric inpatients: an acute care of the elderly unit compared to a general medicine service.Consult Pharm.2003;18(1):3742, 47–39.
  16. Hanlon JT,Artz MB,Pieper CF, et al.Inappropriate medication use among frail elderly inpatients.Ann Pharmacother.2004;38(1):914.
  17. Onder G,Landi F,Cesari M,Gambassi G,Carbonin P,Bernabei R.Inappropriate medication use among hospitalized older adults in Italy: results from the Italian Group of Pharmacoepidemiology in the Elderly.Eur J Clin Pharmacol.2003;59(2):157162.
  18. Peterson JF,Kuperman GJ,Shek C,Patel M,Avorn J,Bates DW.Guided prescription of psychotropic medications for geriatric inpatients.Arch Intern Med.2005;165:802807.
  19. Elixhauser A,Steiner C,Harris DR,Coffey RM.Comorbidity measures for use with administrative data.Med Care.1998;36(1):827.
  20. Soumerai SB,Ross‐Degnan D.Inadequate prescription‐drug coverage for Medicare enrollees—a call to action.N Engl J Med.1999;340:722728.
  21. National and regional estimates on hospital use for all patients from the HCUP Nationwide Inpatient Sample (NIS). Agency for Healthcare Research and Quality (AHRQ). Available at: http://hcupnet.ahrq.gov/HCUPnet.jsp. Accessed October 12,2006.
  22. French DD,Campbell R,Spehar A,Cunningham F,Bulat T,Luther SL.Drugs and falls in community‐dwelling older people: a national veterans study.Clin Ther.2006;28:619630.
  23. Landi F,Onder G,Cesari M,Barillaro C,Russo A,Bernabei R.Psychotropic medications and risk for falls among community‐dwelling frail older people: an observational study.J Gerontol A Biol Sci Med Sci.2005;60:622626.
  24. Leipzig RM,Cumming RG,Tinetti ME.Drugs and falls in older people: a systematic review and meta‐analysis: I. Psychotropic drugs.J Am Geriatr Soc.1999;47(1):3039.
  25. Kamal‐Bahl SJ,Stuart BC,Beers MH.Propoxyphene use and risk for hip fractures in older adults.Am J Geriatr Pharmacother.2006;4:219226.
  26. Ensrud KE,Blackwell T,Mangione CM, et al.Central nervous system active medications and risk for fractures in older women.Arch Intern Med.2003;163:949957.
  27. Simon SR,Chan KA,Soumerai SB, et al.Potentially inappropriate medication use by elderly persons in U.S. Health Maintenance Organizations, 2000–2001.J Am Geriatr Soc.2005;53:227232.
  28. Goulding MR.Inappropriate medication prescribing for elderly ambulatory care patients.Arch Intern Med.2004;164:305312.
  29. Passarelli MC,Jacob‐Filho W,Figueras A.Adverse drug reactions in an elderly hospitalised population: inappropriate prescription is a leading cause.Drugs Aging.2005;22:767777.
  30. Raivio MM,Laurila JV,Strandberg TE,Tilvis RS,Pitkala KH.Use of inappropriate medications and their prognostic significance among in‐hospital and nursing home patients with and without dementia in Finland.Drugs Aging.2006;23:333343.
  31. Fialova D,Topinkova E,Gambassi G, et al.Potentially inappropriate medication use among elderly home care patients in Europe.JAMA.2005;293:13481358.
  32. Laroche ML,Charmes JP,Nouaille Y,Fourrier A,Merle L.Impact of hospitalisation in an acute medical geriatric unit on potentially inappropriate medication use.Drugs Aging.2006;23(1):4959.
  33. Brown BK,Earnhart J.Pharmacists and their effectiveness in ensuring the appropriateness of the chronic medication regimens of geriatric inpatients.Consult Pharm.2004;19:432436.
  34. Passaro A,Volpato S,Romagnoni F,Manzoli N,Zuliani G,Fellin R.Benzodiazepines with different half‐life and falling in a hospitalized population: the GIFA study. Gruppo Italiano di Farmacovigilanza nell'Anziano.J Clin Epidemiol.2000;53:12221229.
  35. Gales BJ,Menard SM.Relationship between the administration of selected medications and falls in hospitalized elderly patients.Ann Pharmacother.1995;29:354358.
  36. Mendelson WB.The use of sedative/hypnotic medication and its correlation with falling down in the hospital.Sleep.1996;19:698701.
  37. Wagner AK,Zhang F,Soumerai SB, et al.Benzodiazepine use and hip fractures in the elderly: who is at greatest risk?Arch Intern Med.2004;164:15671572.
  38. Wang PS,Bohn RL,Glynn RJ,Mogun H,Avorn J.Hazardous benzodiazepine regimens in the elderly: effects of half‐life, dosage, and duration on risk of hip fracture.Am J Psychiatry.2001;158:892898.
  39. Tamblyn R,Abrahamowicz M,du Berger R,McLeod P,Bartlett G.A 5‐year prospective assessment of the risk associated with individual benzodiazepines and doses in new elderly users.J Am Geriatr Soc.2005;53:233241.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
91-102
Page Number
91-102
Article Type
Display Headline
Potentially inappropriate medication use in hospitalized elders
Display Headline
Potentially inappropriate medication use in hospitalized elders
Legacy Keywords
drug safety, geriatric patient, pharmaceuticals, quality improvement
Legacy Keywords
drug safety, geriatric patient, pharmaceuticals, quality improvement
Sections
Article Source

Copyright © 2008 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Division of General Medicine and Geriatrics, Baystate Medical Center, 759 Chestnut Street, Springfield, MA 01199
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Article PDF Media

Innovative Cardiac Examination Curriculum

Article Type
Changed
Sun, 05/28/2017 - 22:18
Display Headline
Innovative web‐based multimedia curriculum improves cardiac examination competency of residents

Despite impressive advances in cardiac diagnostic technology, cardiac examination (CE) remains an essential skill for screening for abnormal sounds, for evaluating cardiovascular system function, and for guiding further diagnostic testing.16

In practice, these benefits may be attenuated if CE skills are inadequate. Numerous studies have documented substantial CE deficiencies among physicians at various points in their careers from medical school to practice.79 In 1 study, residents' CE mistakes accounted for one‐third of all physical diagnostic errors.10 When murmurs are detected, physicians will often reflexively order an echocardiogram and refer to a cardiologist, regardless of the cost or indication. As a consequence, echocardiography use is rising faster than the aging population or the incidence of cardiac pathological conditions would explain.11 Because cost‐effective medicine depends on the appropriate application of clinical skills like CE, the loss of these skills is a major shortcoming.1215

The reasons for the decline in physicians' CE skills are numerous. High reliance on ordering diagnostic tests,16 conducting teaching rounds away from the bedside,17, 18 time constraints during residency,16, 19 and declining CE skills of faculty members themselves7 all may contribute to the diminished CE skills of residents. Residents, who themselves identify abnormal heart sounds at alarmingly low rates, play an ever‐increasing role in medical students' instruction,7, 9 exacerbating the problem.

Responding to growing concerns over patient safety and quality of care,16, 20 public and professional organizations have called for renewed emphasis on teaching and evaluating clinical skills.21 For example, the American Board of Internal Medicine has added a physical diagnosis component to its recertification program.22 The Accreditation Council for Graduate Medical Education (ACGME) describes general competencies for residents, including patient care that should include proper physical examination skills.23 Although mandating uniform standards is a welcome change for improving CE competence, the challenge remains for medical school deans and program directors to fit structured physical examination skills training into an already crowded curriculum.16, 24 Moreover, the impact of these efforts to improve CE is uncertain because programs lack an objective measure of CE competence.

The CE training is itself a challenge: sight, sound, and touch all contribute to the clinical impression. For this reason, it is difficult to teach away from the bedside. Unlike pulmonary examination, for which a diagnosis is best made by listening, cardiac auscultation is only one (frequently overemphasized) aspect of CE.25 Medical knowledge of cardiac anatomy and physiology, visualization of cardiovascular findings, and integration of auditory and visual findings are all components of accurate CE.7 Traditionally, CE was taught through direct experience with patients at the bedside under the supervision of seasoned clinicians. However, exposure and learning from good teaching patients has waned. Audiotapes, heart sound simulators, mannequins, and other computer‐based interventions have been used as surrogates, but none has been widely adopted.26, 27 The best practice for teaching CE is not known.

To help to improve CE education during residency, we implemented and evaluated a novel Web‐based CE curriculum that emphasized 4 aspects of CE: cardiovascular anatomy and physiology, auditory skills, visual skills, and integration of auscultatory and visual findings. Our hypothesis was that this new curriculum would improve learning of CE skills, that residents would retain what they learn, and that this curriculum would be better than conventional education in teaching CE skills.

METHODS

Study Participants, Site, and Design

Internal medicine (IM) and family medicine (FM) interns (R1s, n = 59) from university‐ and community‐based residency programs, respectively, participated in this controlled trial of an educational intervention to teach CE.

The intervention group consisted of 26 IM and 8 FM interns at the beginning of the academic year in June 2003. To establish baseline scores, all interns took a 50‐question multimedia test of CE competency described previously.7, 28, 29 Subsequently, all interns completed a required 4‐week cardiology ward rotation. During this rotation, they were instructed to complete a Web‐based CE tutorial with accompanying worksheet and to attend 3 one‐hour sessions with a hospitalist instructor. Their schedules were arranged to allow for this educational time. During the third meeting with the instructor, interns were tested again to establish posttraining scores. Finally, at the end of the academic year, interns were tested once again to establish retention scores.

The control group consisted of 25 first‐year IM residents who were tested at the end of their academic year in June 2003. These test scores served as historical controls for interns who had just completed their first year of residency and who had received standard ward rotation without incorporated Web‐based training in CE. Interns from both groups had many opportunities for one‐on‐one instruction in CE because each intern was assigned for the cardiology rotation to a private practice cardiology attending. Figure 1 outlines the number of IM and FM interns eligible and the number actually tested at each stage of the study.

Figure 1
Study design. A total of 34 first‐year internal medicine (IM) and family medicine (FM) residents (R1s) were eligible for the study. Of these, 34 were tested at baseline during summer orientation, 33 were tested immediately after training, and 23 were tested for retention at the end of the academic year. From these sets, we were able to match 30 pairs of tests for baseline and posttraining and 18 pairs for baseline and retention. A total of 34 first‐year residents at the end of their internship (R2s) were eligible for the study and served as controls; 25 were actually tested. The study design permitted the following questions to be answered: (1) For the intervention group, did posttraining scores improve over those at baseline? (2) For the intervention group, were any improvements retained at the end of the year? (3) Did clinical training alone improve CE skills? (4) Finally, did the intervention group have higher test scores than the controls at the end of the year?

Educational Intervention

The CE curriculum consisted of a Web‐based program and 3 tutored sessions. The program used virtual patientsaudiovisual recordings of actual patientscombined with computer graphic animations and text to teach cardiac anatomy, hemodynamics, pathophysiology, and visual and auditory findings.30 This multimedia program was interactive and allowed comparisons to normal or to similar lesions. The content included cardiac findings identified as important by a survey of IM residency program directors,8 as well as ACGME training requirements for IM residents23 and cardiology fellows.31 Table 1 outlines the content of the Web‐based curriculum.

Web‐Based Curriculum Content
1. Frontal anatomy of heart, lungs, and vessels with:
a. Interactive illustrations allowing depiction of individual structures
b. Separate cartoons of anatomy of the right heart, left heart, and entire heart
c. Correlation with borders forming regions on chest X‐ray
2. Interactive phases of the cardiac cycle including:
a. Phonocardiogram of normal heart sounds (S1, S2)
b. ECG recording
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Animations of the left heart.
3. Physiological splitting of S2 with:
a. Phonocardiogram of normal heart sounds
b. ECG tracing
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Interactive animations of the heart and lungs with respiration
4. Patients with aortic regurgitation (AR)
a. Integrating pulse with sounds and murmurs
b. Acute severe AR
Recognizing Quincke's pulse
c. Austin Flint murmur
Differentiating it from the pericardial rub
d. Hemodynamics of chronic and acute AR and comparisons
e. Well‐tolerated AR
5. Patient with aortic stenosis (AS)
a. Integrating pulse with sounds and murmurs
Comparison with HCM
b. Interactive descriptions of hemodynamics and flow
6. Patients with mitral regurgitation (MR)
a. Chronic MR
b. Hemodynamics and comparisons of clinical findings for:
i. Normal
ii. Mitral valve prolapse (MVP)
iii. Acute MR
iv. Compensated MR
c. Acute MR
7. Patients with mitral stenosis (MS)
a. Introduction: integrating inspection and auscultation
b. Compare sounds: opening snap, split S2, S3
c. Severe MS: interactive comparison of sounds at apex and base
d. Hemodynamic effects of heart rate

This training was designed for typical conditions of residency training programs: studentteacher contact time was limited to three 1‐hour sessions; the instructor (J.K.) was an internist hospitalist (trained and facile in the use of the program), not a cardiologist; and self‐paced study was Web‐based to allow access at all hours at the hospital or at home. In their first session, at the beginning of the cardiology block, interns were introduced to the Web site and given a 1‐page homework assignment that corresponded to the Web‐based content (Table 2). During the second session, in the middle of the 4‐week block, a group discussion was held with the Web‐based program, in which the interns asked questions and reviewed their worksheet answers and program as needed with the hospitalist. During the third session, at the end of the block, questions were reviewed, and the interns took the posttraining test.

Intern's Worksheet for Learning from the Web site
In preparation for the cardiology heart sounds module during the cardiology block at LBMMC, please answer the following questions and bring the completed questionnaire with you. The correct responses to these questions as well as the underlying mechanisms can be found in the Heart Sounds Tutorial (www.blaufuss.org).
1. Which cardiac chamber is farthest from the anterior chest wall? __________
2. Which cardiac chamber is closest to the left sternal border? ___________
3. Are the mitral and aortic valves ever closed at the same time? ____________
4. Why does inspiratory lung inflation delay the pulmonic second sound? ____________
5. Three or more murmurs of different origin can be heard in aortic regurgitation. What is their timing (within the cardiac cycle) and causation? ____________
6. How do you elicit Quincke's pulse? ____________
7. Is arterial pulse pressure greater in acute or chronic aortic regurgitation? ____________
8. How does the severity of aortic regurgitation correlate with duration of the early diastolic murmur? ____________
9. Splitting of the first sound heard with the stethoscope diaphragm in a patient with aortic stenosis is caused by? ____________
10. What effect does the severity have on the duration of the murmur of aortic stenosis? ____________
11. Is the murmur of aortic stenosis ever holosystolic? ____________
12. Is the duration of the murmur of acute mitral regurgitation shorter or longer than that of chronic mitral regurgitation? ____________
13. What causes the third heart sound (S3) in mitral regurgitation? ____________
14. Why is the jugular venous a‐wave often prominent in mitral stenosis? ____________
15. Which heart sound is loudest in mitral stenosis?Why? ____________
16. What causes the split sound heard in mitral stenosis? ____________
17. Where (on the precordium) would you hear the murmur of mitral stenosis ____________
18. How do postural maneuvers affect the heart sounds and murmur in mitral prolapse? ____________
19. A 3‐phase friction rub can be confused with the 3‐murmur auditory complex in which valvar lesion? ____________
20. What are some causes of third heart sounds that do not imply poor ventricular function? ____________
21. Is a fourth heart sound usually best heard at the base (□Yes □No) or the apex (□Yes □No)?

Evaluation

To evaluate what the R1 intervention group learned, we tested them at baseline, during internship orientation; in posttraining, at the end of their cardiology rotation; and for retention, at the end of their internship year. To evaluate what the controls learned, we tested them at the end of their internship year. The evaluation included a brief survey and the previously validated CE Test.7, 28, 29 Test scores did not carry academic consequences.

For the survey, we asked participants whether they had some prior training in CE and how many hours they estimated having spent learning CE skills during this study with a teacher or in a course. Using a 5‐point Likert scale, they self‐rated their interest and confidence in their own CE skills.

The CE Test is a 50‐question interactive multimedia program that evaluates CE competency using recordings from actual patients. For the CE Test, an overall score (maximum 100 points) and scores for 4 subcategories (expressed as percentages)knowledge of cardiac physiology (interpretation of pressures, sounds and flow related to cardiac contraction and relaxation), audio skills, visual skills, and integration of audio and visual skillsare computed. The same assessment instrument was used for all groups.

Statistical Analysis

Figure 1 lists the tests used to answer the following research questions:

  • Does the Web‐based curriculum improve CE skills? We compared intervention baseline and posttraining scores using the paired t test for means.

  • Do interns retain this improvement in skills? We compared intervention baseline and end‐of‐year scores using paired the t test for means.

  • Does clinical training alone improve CE skills? We compared intervention baseline and control end‐of‐year scores using the t test for means.

  • Is the Web‐based curriculum better than clinical training alone? We compared intervention and control end‐of‐year scores using the t test for means.

 

We used the paired t test when baseline and posttraining scores of the same intern could be matched. To test for differences in CE competency between the intervention and control groups, we compared mean scores using the independent Student t test for equal or unequal group variances, as appropriate. Because the interval from posttraining to end‐of‐year testing was variable, it was possible that longer time intervals could allow learning to decay. Therefore, we computed the Spearman correlation coefficient between follow‐up months, and the change in score from post‐Web training to end‐of‐year Pearson correlation coefficients was computed to examine associations of survey variables with test scores. The 2‐sided nominal P < .05 criterion was used to determine statistical significance. Analyses were performed with SPSS statistical software, version 13.0 (SPSS, Inc., Chicago, IL).

Institutional review board approval was granted to this study as exempted research in established educational settings involving normal educational practices.

RESULTS

Research Question 1

Individual baseline and posttraining CE Test scores for the intervention group are plotted in the first 2 columns of Figure 2. The posttraining mean score improved from baseline (66.0 5.2 vs. 54.2 5.4, P = .002). The knowledge, audio, and visual subcategories of CE competence showed similar improvements (P .001; Table 3). The score for the integration of audiovisual skills subcategory was higher at baseline than the other subcategory scores and remained unchanged.

Figure 2
The CE overall competency for Web and clinical training versus clinical training alone. Test scores for each resident are plotted in the intervention (Web clinical training) and control (clinical training alone) groups. Lines connect pre‐ and posttest scores of each pair of pre‐ and posttests. Mean test scores are indicated with a horizontal bar. (1) For the intervention group, did posttraining scores improve over those of baseline? Mean scores for the Web clinical training group improved from a baseline score of 54.2 to a posttraining score of 66.0 (P = .002). (2) For the intervention group, were any improvements retained at the end of the year? When tested at the end of their internship, the improvement from baseline (54.2) to retention (63.5) was maintained (P = .02). Two separate groups made up the controls, who received standard training: the class of 2003 (tested at baseline) and their predecessors, the class of 2002 (tested at retention). The intent was to capture the skill set of interns at the beginning and end of their academic year. (3) Does clinical training alone improve CE skills? At baseline, the overall competency score of the control group was slightly higher than that of the intervention group (56.8 vs. 54.7), but that difference was not significant (P = .54). (4) Finally, did the intervention group have higher test scores than the controls at the end of the year? Retention scores were compared for Web clinical training and clinical training alone: Web training retention (64.7) was higher than clinical training alone retention (56.8, P = .05).
Subcategory and Overall CE Competency Scores of Intervention and Control Groups for 4 Research Questions
Question 1. Does the Web‐based curriculum improve CE skills?
SubcategoryIntervention baseline (n = 30)Intervention end of year (n = 30)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 2. Do interns retain this improvement?
SubcategoryIntervention baseline (n = 18)Intervention end of year (n = 18)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 3. Does clinical training alone improve CE skills?
SubcategoryIntervention baseline* (n = 34)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
Question 4. Is the Web‐based curriculum better than clinical training alone?
SubcategoryIntervention end of year (n = 23)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
  • Baseline scores for Web training also served as baseline scores for clinical training alone.

  • CE, cardiac examination; SD, standard deviation; 95% CI, 95% confidence interval for mean.

  • The full text of the questions were:

  • Question 1. Immediately after cardiology rotation, concomitant Web‐based training improved knowledge, audio, and visual skills scores as well as overall CE competency score.

  • Question 2. At the end of the year, interns retained the improvement in knowledge and audio skills and overall CE competency.

  • Question 3. The standard cardiology rotation did not significantly improve either CE subcategory scores or the overall competency score.

  • Question 4. When compared at the end of the year, intervention interns (those who received Web training) showed significantly better knowledge, audio, and overall competency scores.

Knowledge55.9% (14.7%)50.4%‐61.4%68.9% (15.3%)63.2%‐74.6%<.001
Audio69.6% (17.4%)63.1%‐76.0%83.6% (10.3%)79.7%‐87.4 %<.001
Visual56.7% (21.4%)48.7%‐64.7%71.9% (16.6%)65.7%‐78.1%<.001
Integration77.5% (14.5%)72.1%‐83.0%76.8% (12.8%)72.1%‐81.6%.85
Overall score54.2% (14.5%)48.8%‐59.6%66.0% (13.6%)60.9%‐71.2%.002
Knowledge58.6% (15.2%)51.0%‐66.2%67.6% (16.7%)60.4%‐74.9%.05
Audio67.4% (17.1%)58.9%‐75.9%82.3% (10.4%)77.8%‐86.8%.004
Visual51.6% (22.0%)40.7%‐62.5%65.2% (20.6%)56.3%‐74.1%.13
Integration76.0 % (15.8%)68.2%‐83.8%77.1% (13.2%)71.4%‐82.8%.95
Overall score51.8 % (15.0%)44.3%‐59.3%63.5% (14.9%)56.1%‐70.9%.02
Knowledge56.5% (14.6%)51.4%‐61.6%57.8% (15.4%)51.4%‐64.1%.75
Audio70.0% (16.9%)64.1%‐75.9%73.3% (13.6%)67.7%‐79.0%.42
Visual57.6% (20.9%)50.3%‐64.9%66.9% (15.3%)60.6%‐73.2%.07
Integration77.8% (13.8%)72.9%‐82.5%76.0% (12.2%)71.0%‐81.0%.62
Overall score54.7% (13.7%)49.9%‐59.5%56.8% (12.4%)51.7%‐61.9%.54
Knowledge67.6% (16.7%)60.4%‐74.8%57.8% (15.4%)51.4%‐64.1%0.04
Audio82.3% (10.4%)77.8%‐86.8%73.3% (13.6%)67.7%‐79.0%0.01
Visual65.2% (20.6%)56.3%‐74.1%66.9% (15.3%)60.6%‐73.2%0.75
Integration77.1% (13.2%)71.4%‐82.8%76.0% (12.2%)71.0%‐81.0%0.76
Overall score64.7% (14.5%)58.4%‐71.0%56.8% (12.4%)51.7%‐61.9%0.05

Research Question 2

End‐of‐year scores are plotted in the third column of Figure 2. Overall scores remained higher at the end of the internship year than at baseline (63.5 7.4, P = .02). Improvements in knowledge and audio skills were retained as well (P .05; Table 3). Visual skills (inspection of neck and precordium), however, showed a steep decline, from 71.9 to 65.2, a score indistinguishable from that of the controls (66.9, P = .75). The interval from posttraining to end‐of‐year testing varied; the mean was 21 weeks. The Spearman correlation coefficient between follow‐up months and change in score from post‐Web training to the end of the year was not significant. ( = 0.12, P = .64). To reinforce the results of the correlational analysis, the paired t test was used to compute the t value for 18 interns matched at post‐Web training and retention testing, but the result was not significant (P = .61), indicating that without further training, R1 intervention scores did not change over time.

Research Question 3

Baseline scores for the control group (the prior year's interns) were not available, since the interns had just completed their academic year when the study began. Therefore the baseline scores from the present year's interns were used as a surrogate. Comparing these 2 groups (intervention at baseline, and controls at the end of the year), no difference was observed between mean scores (54.7 4.8 vs. 56.8 5.1, P = .54). Controls scored slightly higher at baseline in visual skills than did interns who received the intervention, but not significantly so (P = .07). There were also no differences in knowledge, audio skills, and integration of audio and visual skills.

Research Question 4

When we compared overall scores at the end of the year, the mean score for the intervention group was higher than that of the controls (64.7 6.3 vs. 56.8 5.1, P = .05). Similarly, knowledge and auditory scores indicated the intervention group had better competency (P .04), but visual and integration skills did not.

Survey

The vast majority of those in both the intervention (88%) and control groups (83%) reported some prior training in CE. In this study the mean total number of hours that those in the intervention group reported they spent preparing was 5.1 2.0 hours (range 2‐25 hours). This number of hours included the three 1‐hour sessions spent with the instructor. The control group reported they spent almost twice as many hours in CE instruction: a mean of 10.1 4.8 hours (range 2‐30 hours, P = .05). On a Likert scale of 1‐5 (from no interest to high interest), both the intervention and control groups expressed high interest in learning CE (4.7 0.2 and 4.4 0.5, respectively; P = .3). Despite significant differences in CE Test scores, the intervention and control groups shared the same confidence in their abilities (2.5 0.3, P = .82). Neither time spent learning nor interest level correlated with overall CE Test score.

DISCUSSION

To improve CE competence of residents, we designed and implemented a Web‐based CE curriculum using virtual patients (VPs), which standardized the interns' exposure to a spectrum of medical conditions and allowed them flexibility in choosing when and where the training occurred.30 In this controlled educational intervention, we found significant improvements in interns' mean CE competency scores immediately following the Web‐based training; these improvements were retained at the end of the academic year. The Web‐based curriculum also improved scores in all 4 subcategories except integration of audio and visual skills. Although cardiac physiology knowledge and audio skills were retained, visual skills showed a steep decline. This decline suggests that visual skills may be more labile and could benefit from more regular reinforcement. It may also be that old habits die hard: in an earlier study of baseline CE competency, we observed that most participants listened with their eyes closed or averted, actively tuning out the visual timing reference that would help them answer the question.7

Comparing control and intervention retention scores suggests that the Web‐based training is more effective than traditional training in CE. The interns spent a mean of 5 hours learning, including 3 hours with the hospitalist‐instructor. Of those 3 hours, 30 minutes was spent taking the test. Earlier studies32, 33 showed improved CE skills with 12‐20 hours of instructor‐led tutorials. The shorter instruction time for interns in this study translated into about half the magnitude of improvement that was seen in third‐year medical students, whose mean score improved from 58.7 6.7 to 73.4 3.8. Moreover, the students in the earlier study continued to show improvement in their CE competency without further intervention, whereas the test scores of interns in this study appeared to plateau. It is therefore likely that 5 hours per year is a lower bound for successful Web‐based CE training. For this reason, we do not recommend fewer than 5 hours per year of CE training using a Web‐based curriculum (including self‐study). Ideally, sessions should be scheduled each year in residency in order to form a critical mass of learning that has the potential to continue improvements beyond residency training.

When surveyed, interns in both the intervention and control groups were very interested in improving their skills but were not confident in their abilities. In fact, confidence did not correlate with ability, which suggests interns (and possibly others)34 do not have a reliable, intrinsic sense of their CE skills. Curiously, the control group reported spending almost twice the number of hours learning CE that the intervention group did. It is unlikely that the intervention group received less traditional instruction than the control group. Therefore, it is more likely that in estimating the hours spent learning CE, the intervention group reported only the formal instruction plus self‐study hours spent on cardiac examination. One way to interpret the greater number of hours of instruction reported by the controls is to look at their end‐of‐the‐year estimate of how much instruction they had received in the previous 12 months. The controls did not benefit from formal instruction in cardiac examination, and so their estimate included the hours spent with physician attendings receiving traditional bedside instruction. The number of hours reported by the controls could be accurate or could be an overestimate. If accurate, the greater number of hours for the controls did not translate into superior performance on the CE Test. If an overestimate, hindsight bias may have inflated the actual hours spent.

Some may argue that VPs are a poor substitute for actual patients. With few reservations, we are inclined to agree. The best training for CE is at the bedside with a clinical master and the luxury of time. Today, however, teaching has shifted from the bedside to conference rooms and even corridors.17, 18 Consequently, opportunities to practice hands‐on CE have become rare. Even when physical examination is performed at the bedside, the quality of the instruction on it depends on the teacher's interest, abilities, and available patients. Our intent was to implement a standardized curriculum that ensures that CE is practiced and tested regularly in order to prevent the creation of a generation of practicing physicians who never develop these skills.

A hospitalist, not a cardiologist, led the intervention. Because cardiac conditions are involved in more than 40% of admissions to the medical wards, a hospitalist should be able to evaluate a patient through physical examination in order to determine whether further tests are necessary or whether a cardiologist should be consulted. In academic medicine, most teaching of cardiac examination is no longer done by cardiologists, but rather by internists.31 Hospital medicine attendings often play a central role as attending physicians for medical students and house officers, and the hospitalist can and should play a larger role in bedside teaching. A Web‐based curriculum for residents that can be accessed at all hours is also suited to residents who have inpatient rotations.

Our CE curriculum was designed for the typical conditions of today's residency training programs, in which education must be balanced with the demands of patient care and the constraints of the limits on resident duty hours.16, 24 Studentfaculty contact time was limited to three 1‐hour sessions, reflecting the time constraints of most training programs.13, 16, 19 The program was incorporated into the regularly scheduled cardiology block throughout the academic year, ensuring that residents received broad exposure to cardiac clinical presentations at a time when bedside encounters with important cardiac physical findings were most likely. The goal was not to reduce or eliminate bedside teaching but to make the limited time that remained more productive. The fidelity of the training to actual bedside encounters was high: unlike the lone audio recordings of heart sounds, VPs in this study also simultaneously presented visual pulsation in the neck or precordium, training the resident to use these visual timing cues while auscultating patients. Furthermore, the Web‐based multimedia technology employed allowed direct comparison of a patient's bedside findings with case‐matched laboratory studies, which was enhanced with explanatory animations and tutorials. Working within the constraints of residency training programs, we were able to standardize the cardiac clinical exposure of trainees and to test for improvement in and retention of CE skills.

Several limitations should be considered. Although VPs mimic bedside patient encounters, we do not know if improvements from this Web‐based curriculum translate into improvements in patient care. Ideally, the study would have been conducted at more than 1 site in order to test whether the positive results we found are replicated elsewhere. Mitigating these drawbacks are the real‐world conditions of our study: the teaching hospital that conducted the study was not involved in the Web site development, and an internist‐hospitalist, not a cardiologist, led the instruction. In theory, the baseline testing itself may have boosted the posttraining scores of the intervention group simply by motivating the interns to improve their test scores. However, only an overall score was reported to interns; they were not told which questions they missed or in what subcategory they were most deficient. Although simple exposure to the test may be the reason for the interns' improvement, it has been shown that the test has testretest reliability over a 4‐ to 6‐week period28, 29 and that test scores do not improve with prior exposure to the test. Because those in the intervention group knew that they would be retested, we cannot eliminate the possibility that they were somehow more motivated to do well on the test by the end of the year. Finally, there may have been differences in the ward training received by the 2 groups of interns studied. The test scores of interns in the control group may not have been as high because of differences in patients admitted, topics discussed, or teaching attendings assigned to them during the academic year; however, because there were no radical changes from the previous year in either the patient population or the group of attending physicians, the differences in the quality of patient encounters between the control and intervention groups are thought to be minor.

In conclusion, the Web‐based curriculum met all the requirements for being effective education: it was self‐directed, interactive, relevant, and cost effective. This novel curriculum standardized learning experience during the cardiology block and saved time for both teacher and trainees. Baseline assessment helped to focus learning. Involvement of an instructor‐hospitalist added accountability, a resource for answering questions, and encouragement for building self‐study skills. More importantly, a realistic and reproducible test of CE skills documented whether the learning objectives were meta feature that is becoming increasingly desirable to residency program directors.35 Our study showed that training with virtual patients yields superior mean CE competency scores over those with standard cardiology ward rotations. Further studies may confirm whether this improvement in CE translates to improvement in making appropriate observations and diagnoses of actual patients.

Acknowledgements

The authors first thank their interns and residents for their willingness to participate in the training and to take the test. They also thank Dr. Lloyd Rucker, program director, University of California Irvine Internal Medicine Residency Program and Dr. John Michael Criley for his guidance in how to use the test and in designing the intervention. Finally, they thank David Criley for his contribution in developing the Web site.

References
  1. Gillespie ND,McNeill G,Pringle T,Ogston S,Struthers AD,Pringle SD.Cross‐sectional study of contribution of clinical assessment and simple cardiac investigations to diagnosis of left ventricular systolic dysfunction in patients admitted with acute dyspnea.BMJ.1997;314:936940.
  2. Agency for Health Care Policy and Research.Heart failure: evaluation and care of patients with left‐ventricular systolic dysfunction.Rockville, MD:U.S. Department of Health and Human Services;1994.
  3. Roldan CA,Shively BK,Crawford MH.Value of the cardiovascular physical examination for detecting valvular heart disease in asymptomatic subjects.Am J Cardiol.1996;77:13271331.
  4. Lembo NJ,Dell'Italia LJ,Crawford MH, et al.Bedside diagnosis of systolic murmurs.N Engl J Med.1988;318:15721578.
  5. Danford DA,Nasir A.Gumbiner C. Cost assessment for evaluation of heart murmurs in children.Pediatrics.1993;91:365:368.
  6. Phoon CKL.Estimation of pressure gradients by auscultation: an innovative and accurate physical examination technique.Am Heart J.2001;141:500506.
  7. Vukanovic‐Criley JM,Criley SR,Warde C, et al.Competency in cardiac examination skills in medical students, trainees, physicians and faculty: a multicenter study.Arch Intern Med.2006;166:610616.
  8. Mangione S,Nieman LZ,Gracely E,Kaye D.The teaching and practice of cardiac auscultation during internal medicine and cardiology training.Ann Intern Med.1993;119:4754.
  9. Mangione S,Nieman LZ.Cardiac auscultatory skills of internal medicine and family practice trainees: a comparison of diagnostic proficiency.JAMA.1997;278:717722.
  10. Wray NP,Friedland JA.Detection and correction of house staff error in physical diagnosis.JAMA.1983;249:10351037.
  11. Blanchard GP.Is listening through a stethoscope a dying art?Boston Globe May 25,2004.
  12. Clement DL,Cohn JN.Salvaging the history, physical examination and doctor‐patient relationship in a technological cardiology environment.J Am Coll Cardiol.1999;33:892893.
  13. DeMaria AN.Wither the Cardiac Physical Examination?J Am Coll Cardiol.2006;48:21562157.
  14. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 1.Mod Concepts Cardiovasc Dis.1990;59:1924.
  15. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 2.Mod Concepts Cardiovasc Dis.1990;59:2530.
  16. Simel DL.Time, now, to recover the fun in the physical examination rather than abandon it.Arch Intern Med.2006;166:603604.
  17. LaCombe MA.On bedside teaching.Ann Intern Med.1997;126:217220.
  18. Collins GF.Cassie JM, Daggett CJ. The role of the attending physician in clinical training.J Med Educ.1978;53:429431.
  19. Shankel SW.Mazzaferri EL.Teaching the resident in infernal medicine: present practices and suggestions for the future.JAMA.1986:256:725729.
  20. Thibault GE.Bedside rounds revisited.N Engl J Med.1997;336:11741175.
  21. Holmboe ES,Hawkins RE,Huot JS.Effects of training in direct observation of medical residents' clinical competence a randomized trial.Ann Intern Med.2004;140:874881.
  22. American Board of Internal Medicine. Clinical Skills/PESEP. Available at: http://www.abim.org/moc/semmed.shtm. Accessed July 9,2007.
  23. Accreditation Council for Graduate Medical Education (ACGME). General Competencies and Outcomes Assessment for Designated Institutional Officials. Available at: http://www.acgme.org/outcome/comp/compFull.asp. Accessed July 9,2007.
  24. Accreditation Council for Graduate Medical Education, Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf. Accessed, July 9,2007.
  25. Conn RD.Letter to the Editor re: Cardiac auscultatory skills of physicians‐in‐training: comparison of three English‐speaking countries.Am J Med.2001;111:505506.
  26. St. Clair EW,Oddone EZ,Waugh RA, et al.Assessing housestaff diagnostic skills using a cardiology patient simulator.Ann Intern Med.1992;117:751756.
  27. Mangione S,Nieman LZ,Greenspon LW,Marguiles H.A comparison of computer assisted instruction and small group teaching of cardiac auscultation to medical students.Med Educ.1991;25:389395.
  28. Warde C,Criley S,Criley D,Boker J,Criley J.Validation of a multimedia measure of cardiac physical examination proficiency.Boston, MA:Association of American Medical Colleges Group on Educational Affairs, Research in Medical Education Summary Presentations;November,2004.
  29. Warde C,Vukanovic‐Criley JM,Criley SR,Boker J,Criley JM.Validation of a computerized test to assess competence in the cardiac physical examination. Submitted for publication,2007.
  30. Blaufuss Medical Multimedia Laboratory. Heart sounds tutorial. Available at: http://www.blaufuss.org. Accessed July 7,2007.
  31. Gregoratos G,Miller AB.30th Bethesda Conference: The Future of Academic Cardiology. Task force 3: teaching.J Am Coll Cardiol.1999;33:11201127.
  32. Criley SR,Criley DG,Criley JM.Beyond Heart Sounds: An interactive teaching and skills testing program for cardiac examination.Comput Cardiol.2000;27:591594.
  33. Vukanovic‐Criley JM,Boker JR,Criley SR,Rajagopalan S,Criley JM.Using virtual patients to improve cardiac examination competency in medical students. In press,Clin Cardiol.
  34. Davis DA,Mazmanian PE,Fordis M,Van Harrison R,Thorpe KE,Perrier L.Accuracy of physician self‐assessment compared with observed measures of competence; a systematic review.JAMA.2006;296: 9;10941102.
  35. Swing SR.Assessing the ACGME general competencies: general considerations and assessment methods.Acad Emerg Med.2002;9:12781288.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
124-133
Legacy Keywords
cardiology/education, heart sounds, heart murmurs/diagnosis/physiopathology, heart/anatomy and histology/physiology, physical examination/standards, clinical competence, competency‐based education/standards, educational measurement/methods, benchmarking, curriculum, time factors, virtual patients, multimedia, computer‐assisted instruction, user‐computer interface, educational technology, internet internship and residency/standards, reproducibility of results
Sections
Article PDF
Article PDF

Despite impressive advances in cardiac diagnostic technology, cardiac examination (CE) remains an essential skill for screening for abnormal sounds, for evaluating cardiovascular system function, and for guiding further diagnostic testing.16

In practice, these benefits may be attenuated if CE skills are inadequate. Numerous studies have documented substantial CE deficiencies among physicians at various points in their careers from medical school to practice.79 In 1 study, residents' CE mistakes accounted for one‐third of all physical diagnostic errors.10 When murmurs are detected, physicians will often reflexively order an echocardiogram and refer to a cardiologist, regardless of the cost or indication. As a consequence, echocardiography use is rising faster than the aging population or the incidence of cardiac pathological conditions would explain.11 Because cost‐effective medicine depends on the appropriate application of clinical skills like CE, the loss of these skills is a major shortcoming.1215

The reasons for the decline in physicians' CE skills are numerous. High reliance on ordering diagnostic tests,16 conducting teaching rounds away from the bedside,17, 18 time constraints during residency,16, 19 and declining CE skills of faculty members themselves7 all may contribute to the diminished CE skills of residents. Residents, who themselves identify abnormal heart sounds at alarmingly low rates, play an ever‐increasing role in medical students' instruction,7, 9 exacerbating the problem.

Responding to growing concerns over patient safety and quality of care,16, 20 public and professional organizations have called for renewed emphasis on teaching and evaluating clinical skills.21 For example, the American Board of Internal Medicine has added a physical diagnosis component to its recertification program.22 The Accreditation Council for Graduate Medical Education (ACGME) describes general competencies for residents, including patient care that should include proper physical examination skills.23 Although mandating uniform standards is a welcome change for improving CE competence, the challenge remains for medical school deans and program directors to fit structured physical examination skills training into an already crowded curriculum.16, 24 Moreover, the impact of these efforts to improve CE is uncertain because programs lack an objective measure of CE competence.

The CE training is itself a challenge: sight, sound, and touch all contribute to the clinical impression. For this reason, it is difficult to teach away from the bedside. Unlike pulmonary examination, for which a diagnosis is best made by listening, cardiac auscultation is only one (frequently overemphasized) aspect of CE.25 Medical knowledge of cardiac anatomy and physiology, visualization of cardiovascular findings, and integration of auditory and visual findings are all components of accurate CE.7 Traditionally, CE was taught through direct experience with patients at the bedside under the supervision of seasoned clinicians. However, exposure and learning from good teaching patients has waned. Audiotapes, heart sound simulators, mannequins, and other computer‐based interventions have been used as surrogates, but none has been widely adopted.26, 27 The best practice for teaching CE is not known.

To help to improve CE education during residency, we implemented and evaluated a novel Web‐based CE curriculum that emphasized 4 aspects of CE: cardiovascular anatomy and physiology, auditory skills, visual skills, and integration of auscultatory and visual findings. Our hypothesis was that this new curriculum would improve learning of CE skills, that residents would retain what they learn, and that this curriculum would be better than conventional education in teaching CE skills.

METHODS

Study Participants, Site, and Design

Internal medicine (IM) and family medicine (FM) interns (R1s, n = 59) from university‐ and community‐based residency programs, respectively, participated in this controlled trial of an educational intervention to teach CE.

The intervention group consisted of 26 IM and 8 FM interns at the beginning of the academic year in June 2003. To establish baseline scores, all interns took a 50‐question multimedia test of CE competency described previously.7, 28, 29 Subsequently, all interns completed a required 4‐week cardiology ward rotation. During this rotation, they were instructed to complete a Web‐based CE tutorial with accompanying worksheet and to attend 3 one‐hour sessions with a hospitalist instructor. Their schedules were arranged to allow for this educational time. During the third meeting with the instructor, interns were tested again to establish posttraining scores. Finally, at the end of the academic year, interns were tested once again to establish retention scores.

The control group consisted of 25 first‐year IM residents who were tested at the end of their academic year in June 2003. These test scores served as historical controls for interns who had just completed their first year of residency and who had received standard ward rotation without incorporated Web‐based training in CE. Interns from both groups had many opportunities for one‐on‐one instruction in CE because each intern was assigned for the cardiology rotation to a private practice cardiology attending. Figure 1 outlines the number of IM and FM interns eligible and the number actually tested at each stage of the study.

Figure 1
Study design. A total of 34 first‐year internal medicine (IM) and family medicine (FM) residents (R1s) were eligible for the study. Of these, 34 were tested at baseline during summer orientation, 33 were tested immediately after training, and 23 were tested for retention at the end of the academic year. From these sets, we were able to match 30 pairs of tests for baseline and posttraining and 18 pairs for baseline and retention. A total of 34 first‐year residents at the end of their internship (R2s) were eligible for the study and served as controls; 25 were actually tested. The study design permitted the following questions to be answered: (1) For the intervention group, did posttraining scores improve over those at baseline? (2) For the intervention group, were any improvements retained at the end of the year? (3) Did clinical training alone improve CE skills? (4) Finally, did the intervention group have higher test scores than the controls at the end of the year?

Educational Intervention

The CE curriculum consisted of a Web‐based program and 3 tutored sessions. The program used virtual patientsaudiovisual recordings of actual patientscombined with computer graphic animations and text to teach cardiac anatomy, hemodynamics, pathophysiology, and visual and auditory findings.30 This multimedia program was interactive and allowed comparisons to normal or to similar lesions. The content included cardiac findings identified as important by a survey of IM residency program directors,8 as well as ACGME training requirements for IM residents23 and cardiology fellows.31 Table 1 outlines the content of the Web‐based curriculum.

Web‐Based Curriculum Content
1. Frontal anatomy of heart, lungs, and vessels with:
a. Interactive illustrations allowing depiction of individual structures
b. Separate cartoons of anatomy of the right heart, left heart, and entire heart
c. Correlation with borders forming regions on chest X‐ray
2. Interactive phases of the cardiac cycle including:
a. Phonocardiogram of normal heart sounds (S1, S2)
b. ECG recording
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Animations of the left heart.
3. Physiological splitting of S2 with:
a. Phonocardiogram of normal heart sounds
b. ECG tracing
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Interactive animations of the heart and lungs with respiration
4. Patients with aortic regurgitation (AR)
a. Integrating pulse with sounds and murmurs
b. Acute severe AR
Recognizing Quincke's pulse
c. Austin Flint murmur
Differentiating it from the pericardial rub
d. Hemodynamics of chronic and acute AR and comparisons
e. Well‐tolerated AR
5. Patient with aortic stenosis (AS)
a. Integrating pulse with sounds and murmurs
Comparison with HCM
b. Interactive descriptions of hemodynamics and flow
6. Patients with mitral regurgitation (MR)
a. Chronic MR
b. Hemodynamics and comparisons of clinical findings for:
i. Normal
ii. Mitral valve prolapse (MVP)
iii. Acute MR
iv. Compensated MR
c. Acute MR
7. Patients with mitral stenosis (MS)
a. Introduction: integrating inspection and auscultation
b. Compare sounds: opening snap, split S2, S3
c. Severe MS: interactive comparison of sounds at apex and base
d. Hemodynamic effects of heart rate

This training was designed for typical conditions of residency training programs: studentteacher contact time was limited to three 1‐hour sessions; the instructor (J.K.) was an internist hospitalist (trained and facile in the use of the program), not a cardiologist; and self‐paced study was Web‐based to allow access at all hours at the hospital or at home. In their first session, at the beginning of the cardiology block, interns were introduced to the Web site and given a 1‐page homework assignment that corresponded to the Web‐based content (Table 2). During the second session, in the middle of the 4‐week block, a group discussion was held with the Web‐based program, in which the interns asked questions and reviewed their worksheet answers and program as needed with the hospitalist. During the third session, at the end of the block, questions were reviewed, and the interns took the posttraining test.

Intern's Worksheet for Learning from the Web site
In preparation for the cardiology heart sounds module during the cardiology block at LBMMC, please answer the following questions and bring the completed questionnaire with you. The correct responses to these questions as well as the underlying mechanisms can be found in the Heart Sounds Tutorial (www.blaufuss.org).
1. Which cardiac chamber is farthest from the anterior chest wall? __________
2. Which cardiac chamber is closest to the left sternal border? ___________
3. Are the mitral and aortic valves ever closed at the same time? ____________
4. Why does inspiratory lung inflation delay the pulmonic second sound? ____________
5. Three or more murmurs of different origin can be heard in aortic regurgitation. What is their timing (within the cardiac cycle) and causation? ____________
6. How do you elicit Quincke's pulse? ____________
7. Is arterial pulse pressure greater in acute or chronic aortic regurgitation? ____________
8. How does the severity of aortic regurgitation correlate with duration of the early diastolic murmur? ____________
9. Splitting of the first sound heard with the stethoscope diaphragm in a patient with aortic stenosis is caused by? ____________
10. What effect does the severity have on the duration of the murmur of aortic stenosis? ____________
11. Is the murmur of aortic stenosis ever holosystolic? ____________
12. Is the duration of the murmur of acute mitral regurgitation shorter or longer than that of chronic mitral regurgitation? ____________
13. What causes the third heart sound (S3) in mitral regurgitation? ____________
14. Why is the jugular venous a‐wave often prominent in mitral stenosis? ____________
15. Which heart sound is loudest in mitral stenosis?Why? ____________
16. What causes the split sound heard in mitral stenosis? ____________
17. Where (on the precordium) would you hear the murmur of mitral stenosis ____________
18. How do postural maneuvers affect the heart sounds and murmur in mitral prolapse? ____________
19. A 3‐phase friction rub can be confused with the 3‐murmur auditory complex in which valvar lesion? ____________
20. What are some causes of third heart sounds that do not imply poor ventricular function? ____________
21. Is a fourth heart sound usually best heard at the base (□Yes □No) or the apex (□Yes □No)?

Evaluation

To evaluate what the R1 intervention group learned, we tested them at baseline, during internship orientation; in posttraining, at the end of their cardiology rotation; and for retention, at the end of their internship year. To evaluate what the controls learned, we tested them at the end of their internship year. The evaluation included a brief survey and the previously validated CE Test.7, 28, 29 Test scores did not carry academic consequences.

For the survey, we asked participants whether they had some prior training in CE and how many hours they estimated having spent learning CE skills during this study with a teacher or in a course. Using a 5‐point Likert scale, they self‐rated their interest and confidence in their own CE skills.

The CE Test is a 50‐question interactive multimedia program that evaluates CE competency using recordings from actual patients. For the CE Test, an overall score (maximum 100 points) and scores for 4 subcategories (expressed as percentages)knowledge of cardiac physiology (interpretation of pressures, sounds and flow related to cardiac contraction and relaxation), audio skills, visual skills, and integration of audio and visual skillsare computed. The same assessment instrument was used for all groups.

Statistical Analysis

Figure 1 lists the tests used to answer the following research questions:

  • Does the Web‐based curriculum improve CE skills? We compared intervention baseline and posttraining scores using the paired t test for means.

  • Do interns retain this improvement in skills? We compared intervention baseline and end‐of‐year scores using paired the t test for means.

  • Does clinical training alone improve CE skills? We compared intervention baseline and control end‐of‐year scores using the t test for means.

  • Is the Web‐based curriculum better than clinical training alone? We compared intervention and control end‐of‐year scores using the t test for means.

 

We used the paired t test when baseline and posttraining scores of the same intern could be matched. To test for differences in CE competency between the intervention and control groups, we compared mean scores using the independent Student t test for equal or unequal group variances, as appropriate. Because the interval from posttraining to end‐of‐year testing was variable, it was possible that longer time intervals could allow learning to decay. Therefore, we computed the Spearman correlation coefficient between follow‐up months, and the change in score from post‐Web training to end‐of‐year Pearson correlation coefficients was computed to examine associations of survey variables with test scores. The 2‐sided nominal P < .05 criterion was used to determine statistical significance. Analyses were performed with SPSS statistical software, version 13.0 (SPSS, Inc., Chicago, IL).

Institutional review board approval was granted to this study as exempted research in established educational settings involving normal educational practices.

RESULTS

Research Question 1

Individual baseline and posttraining CE Test scores for the intervention group are plotted in the first 2 columns of Figure 2. The posttraining mean score improved from baseline (66.0 5.2 vs. 54.2 5.4, P = .002). The knowledge, audio, and visual subcategories of CE competence showed similar improvements (P .001; Table 3). The score for the integration of audiovisual skills subcategory was higher at baseline than the other subcategory scores and remained unchanged.

Figure 2
The CE overall competency for Web and clinical training versus clinical training alone. Test scores for each resident are plotted in the intervention (Web clinical training) and control (clinical training alone) groups. Lines connect pre‐ and posttest scores of each pair of pre‐ and posttests. Mean test scores are indicated with a horizontal bar. (1) For the intervention group, did posttraining scores improve over those of baseline? Mean scores for the Web clinical training group improved from a baseline score of 54.2 to a posttraining score of 66.0 (P = .002). (2) For the intervention group, were any improvements retained at the end of the year? When tested at the end of their internship, the improvement from baseline (54.2) to retention (63.5) was maintained (P = .02). Two separate groups made up the controls, who received standard training: the class of 2003 (tested at baseline) and their predecessors, the class of 2002 (tested at retention). The intent was to capture the skill set of interns at the beginning and end of their academic year. (3) Does clinical training alone improve CE skills? At baseline, the overall competency score of the control group was slightly higher than that of the intervention group (56.8 vs. 54.7), but that difference was not significant (P = .54). (4) Finally, did the intervention group have higher test scores than the controls at the end of the year? Retention scores were compared for Web clinical training and clinical training alone: Web training retention (64.7) was higher than clinical training alone retention (56.8, P = .05).
Subcategory and Overall CE Competency Scores of Intervention and Control Groups for 4 Research Questions
Question 1. Does the Web‐based curriculum improve CE skills?
SubcategoryIntervention baseline (n = 30)Intervention end of year (n = 30)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 2. Do interns retain this improvement?
SubcategoryIntervention baseline (n = 18)Intervention end of year (n = 18)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 3. Does clinical training alone improve CE skills?
SubcategoryIntervention baseline* (n = 34)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
Question 4. Is the Web‐based curriculum better than clinical training alone?
SubcategoryIntervention end of year (n = 23)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
  • Baseline scores for Web training also served as baseline scores for clinical training alone.

  • CE, cardiac examination; SD, standard deviation; 95% CI, 95% confidence interval for mean.

  • The full text of the questions were:

  • Question 1. Immediately after cardiology rotation, concomitant Web‐based training improved knowledge, audio, and visual skills scores as well as overall CE competency score.

  • Question 2. At the end of the year, interns retained the improvement in knowledge and audio skills and overall CE competency.

  • Question 3. The standard cardiology rotation did not significantly improve either CE subcategory scores or the overall competency score.

  • Question 4. When compared at the end of the year, intervention interns (those who received Web training) showed significantly better knowledge, audio, and overall competency scores.

Knowledge55.9% (14.7%)50.4%‐61.4%68.9% (15.3%)63.2%‐74.6%<.001
Audio69.6% (17.4%)63.1%‐76.0%83.6% (10.3%)79.7%‐87.4 %<.001
Visual56.7% (21.4%)48.7%‐64.7%71.9% (16.6%)65.7%‐78.1%<.001
Integration77.5% (14.5%)72.1%‐83.0%76.8% (12.8%)72.1%‐81.6%.85
Overall score54.2% (14.5%)48.8%‐59.6%66.0% (13.6%)60.9%‐71.2%.002
Knowledge58.6% (15.2%)51.0%‐66.2%67.6% (16.7%)60.4%‐74.9%.05
Audio67.4% (17.1%)58.9%‐75.9%82.3% (10.4%)77.8%‐86.8%.004
Visual51.6% (22.0%)40.7%‐62.5%65.2% (20.6%)56.3%‐74.1%.13
Integration76.0 % (15.8%)68.2%‐83.8%77.1% (13.2%)71.4%‐82.8%.95
Overall score51.8 % (15.0%)44.3%‐59.3%63.5% (14.9%)56.1%‐70.9%.02
Knowledge56.5% (14.6%)51.4%‐61.6%57.8% (15.4%)51.4%‐64.1%.75
Audio70.0% (16.9%)64.1%‐75.9%73.3% (13.6%)67.7%‐79.0%.42
Visual57.6% (20.9%)50.3%‐64.9%66.9% (15.3%)60.6%‐73.2%.07
Integration77.8% (13.8%)72.9%‐82.5%76.0% (12.2%)71.0%‐81.0%.62
Overall score54.7% (13.7%)49.9%‐59.5%56.8% (12.4%)51.7%‐61.9%.54
Knowledge67.6% (16.7%)60.4%‐74.8%57.8% (15.4%)51.4%‐64.1%0.04
Audio82.3% (10.4%)77.8%‐86.8%73.3% (13.6%)67.7%‐79.0%0.01
Visual65.2% (20.6%)56.3%‐74.1%66.9% (15.3%)60.6%‐73.2%0.75
Integration77.1% (13.2%)71.4%‐82.8%76.0% (12.2%)71.0%‐81.0%0.76
Overall score64.7% (14.5%)58.4%‐71.0%56.8% (12.4%)51.7%‐61.9%0.05

Research Question 2

End‐of‐year scores are plotted in the third column of Figure 2. Overall scores remained higher at the end of the internship year than at baseline (63.5 7.4, P = .02). Improvements in knowledge and audio skills were retained as well (P .05; Table 3). Visual skills (inspection of neck and precordium), however, showed a steep decline, from 71.9 to 65.2, a score indistinguishable from that of the controls (66.9, P = .75). The interval from posttraining to end‐of‐year testing varied; the mean was 21 weeks. The Spearman correlation coefficient between follow‐up months and change in score from post‐Web training to the end of the year was not significant. ( = 0.12, P = .64). To reinforce the results of the correlational analysis, the paired t test was used to compute the t value for 18 interns matched at post‐Web training and retention testing, but the result was not significant (P = .61), indicating that without further training, R1 intervention scores did not change over time.

Research Question 3

Baseline scores for the control group (the prior year's interns) were not available, since the interns had just completed their academic year when the study began. Therefore the baseline scores from the present year's interns were used as a surrogate. Comparing these 2 groups (intervention at baseline, and controls at the end of the year), no difference was observed between mean scores (54.7 4.8 vs. 56.8 5.1, P = .54). Controls scored slightly higher at baseline in visual skills than did interns who received the intervention, but not significantly so (P = .07). There were also no differences in knowledge, audio skills, and integration of audio and visual skills.

Research Question 4

When we compared overall scores at the end of the year, the mean score for the intervention group was higher than that of the controls (64.7 6.3 vs. 56.8 5.1, P = .05). Similarly, knowledge and auditory scores indicated the intervention group had better competency (P .04), but visual and integration skills did not.

Survey

The vast majority of those in both the intervention (88%) and control groups (83%) reported some prior training in CE. In this study the mean total number of hours that those in the intervention group reported they spent preparing was 5.1 2.0 hours (range 2‐25 hours). This number of hours included the three 1‐hour sessions spent with the instructor. The control group reported they spent almost twice as many hours in CE instruction: a mean of 10.1 4.8 hours (range 2‐30 hours, P = .05). On a Likert scale of 1‐5 (from no interest to high interest), both the intervention and control groups expressed high interest in learning CE (4.7 0.2 and 4.4 0.5, respectively; P = .3). Despite significant differences in CE Test scores, the intervention and control groups shared the same confidence in their abilities (2.5 0.3, P = .82). Neither time spent learning nor interest level correlated with overall CE Test score.

DISCUSSION

To improve CE competence of residents, we designed and implemented a Web‐based CE curriculum using virtual patients (VPs), which standardized the interns' exposure to a spectrum of medical conditions and allowed them flexibility in choosing when and where the training occurred.30 In this controlled educational intervention, we found significant improvements in interns' mean CE competency scores immediately following the Web‐based training; these improvements were retained at the end of the academic year. The Web‐based curriculum also improved scores in all 4 subcategories except integration of audio and visual skills. Although cardiac physiology knowledge and audio skills were retained, visual skills showed a steep decline. This decline suggests that visual skills may be more labile and could benefit from more regular reinforcement. It may also be that old habits die hard: in an earlier study of baseline CE competency, we observed that most participants listened with their eyes closed or averted, actively tuning out the visual timing reference that would help them answer the question.7

Comparing control and intervention retention scores suggests that the Web‐based training is more effective than traditional training in CE. The interns spent a mean of 5 hours learning, including 3 hours with the hospitalist‐instructor. Of those 3 hours, 30 minutes was spent taking the test. Earlier studies32, 33 showed improved CE skills with 12‐20 hours of instructor‐led tutorials. The shorter instruction time for interns in this study translated into about half the magnitude of improvement that was seen in third‐year medical students, whose mean score improved from 58.7 6.7 to 73.4 3.8. Moreover, the students in the earlier study continued to show improvement in their CE competency without further intervention, whereas the test scores of interns in this study appeared to plateau. It is therefore likely that 5 hours per year is a lower bound for successful Web‐based CE training. For this reason, we do not recommend fewer than 5 hours per year of CE training using a Web‐based curriculum (including self‐study). Ideally, sessions should be scheduled each year in residency in order to form a critical mass of learning that has the potential to continue improvements beyond residency training.

When surveyed, interns in both the intervention and control groups were very interested in improving their skills but were not confident in their abilities. In fact, confidence did not correlate with ability, which suggests interns (and possibly others)34 do not have a reliable, intrinsic sense of their CE skills. Curiously, the control group reported spending almost twice the number of hours learning CE that the intervention group did. It is unlikely that the intervention group received less traditional instruction than the control group. Therefore, it is more likely that in estimating the hours spent learning CE, the intervention group reported only the formal instruction plus self‐study hours spent on cardiac examination. One way to interpret the greater number of hours of instruction reported by the controls is to look at their end‐of‐the‐year estimate of how much instruction they had received in the previous 12 months. The controls did not benefit from formal instruction in cardiac examination, and so their estimate included the hours spent with physician attendings receiving traditional bedside instruction. The number of hours reported by the controls could be accurate or could be an overestimate. If accurate, the greater number of hours for the controls did not translate into superior performance on the CE Test. If an overestimate, hindsight bias may have inflated the actual hours spent.

Some may argue that VPs are a poor substitute for actual patients. With few reservations, we are inclined to agree. The best training for CE is at the bedside with a clinical master and the luxury of time. Today, however, teaching has shifted from the bedside to conference rooms and even corridors.17, 18 Consequently, opportunities to practice hands‐on CE have become rare. Even when physical examination is performed at the bedside, the quality of the instruction on it depends on the teacher's interest, abilities, and available patients. Our intent was to implement a standardized curriculum that ensures that CE is practiced and tested regularly in order to prevent the creation of a generation of practicing physicians who never develop these skills.

A hospitalist, not a cardiologist, led the intervention. Because cardiac conditions are involved in more than 40% of admissions to the medical wards, a hospitalist should be able to evaluate a patient through physical examination in order to determine whether further tests are necessary or whether a cardiologist should be consulted. In academic medicine, most teaching of cardiac examination is no longer done by cardiologists, but rather by internists.31 Hospital medicine attendings often play a central role as attending physicians for medical students and house officers, and the hospitalist can and should play a larger role in bedside teaching. A Web‐based curriculum for residents that can be accessed at all hours is also suited to residents who have inpatient rotations.

Our CE curriculum was designed for the typical conditions of today's residency training programs, in which education must be balanced with the demands of patient care and the constraints of the limits on resident duty hours.16, 24 Studentfaculty contact time was limited to three 1‐hour sessions, reflecting the time constraints of most training programs.13, 16, 19 The program was incorporated into the regularly scheduled cardiology block throughout the academic year, ensuring that residents received broad exposure to cardiac clinical presentations at a time when bedside encounters with important cardiac physical findings were most likely. The goal was not to reduce or eliminate bedside teaching but to make the limited time that remained more productive. The fidelity of the training to actual bedside encounters was high: unlike the lone audio recordings of heart sounds, VPs in this study also simultaneously presented visual pulsation in the neck or precordium, training the resident to use these visual timing cues while auscultating patients. Furthermore, the Web‐based multimedia technology employed allowed direct comparison of a patient's bedside findings with case‐matched laboratory studies, which was enhanced with explanatory animations and tutorials. Working within the constraints of residency training programs, we were able to standardize the cardiac clinical exposure of trainees and to test for improvement in and retention of CE skills.

Several limitations should be considered. Although VPs mimic bedside patient encounters, we do not know if improvements from this Web‐based curriculum translate into improvements in patient care. Ideally, the study would have been conducted at more than 1 site in order to test whether the positive results we found are replicated elsewhere. Mitigating these drawbacks are the real‐world conditions of our study: the teaching hospital that conducted the study was not involved in the Web site development, and an internist‐hospitalist, not a cardiologist, led the instruction. In theory, the baseline testing itself may have boosted the posttraining scores of the intervention group simply by motivating the interns to improve their test scores. However, only an overall score was reported to interns; they were not told which questions they missed or in what subcategory they were most deficient. Although simple exposure to the test may be the reason for the interns' improvement, it has been shown that the test has testretest reliability over a 4‐ to 6‐week period28, 29 and that test scores do not improve with prior exposure to the test. Because those in the intervention group knew that they would be retested, we cannot eliminate the possibility that they were somehow more motivated to do well on the test by the end of the year. Finally, there may have been differences in the ward training received by the 2 groups of interns studied. The test scores of interns in the control group may not have been as high because of differences in patients admitted, topics discussed, or teaching attendings assigned to them during the academic year; however, because there were no radical changes from the previous year in either the patient population or the group of attending physicians, the differences in the quality of patient encounters between the control and intervention groups are thought to be minor.

In conclusion, the Web‐based curriculum met all the requirements for being effective education: it was self‐directed, interactive, relevant, and cost effective. This novel curriculum standardized learning experience during the cardiology block and saved time for both teacher and trainees. Baseline assessment helped to focus learning. Involvement of an instructor‐hospitalist added accountability, a resource for answering questions, and encouragement for building self‐study skills. More importantly, a realistic and reproducible test of CE skills documented whether the learning objectives were meta feature that is becoming increasingly desirable to residency program directors.35 Our study showed that training with virtual patients yields superior mean CE competency scores over those with standard cardiology ward rotations. Further studies may confirm whether this improvement in CE translates to improvement in making appropriate observations and diagnoses of actual patients.

Acknowledgements

The authors first thank their interns and residents for their willingness to participate in the training and to take the test. They also thank Dr. Lloyd Rucker, program director, University of California Irvine Internal Medicine Residency Program and Dr. John Michael Criley for his guidance in how to use the test and in designing the intervention. Finally, they thank David Criley for his contribution in developing the Web site.

Despite impressive advances in cardiac diagnostic technology, cardiac examination (CE) remains an essential skill for screening for abnormal sounds, for evaluating cardiovascular system function, and for guiding further diagnostic testing.16

In practice, these benefits may be attenuated if CE skills are inadequate. Numerous studies have documented substantial CE deficiencies among physicians at various points in their careers from medical school to practice.79 In 1 study, residents' CE mistakes accounted for one‐third of all physical diagnostic errors.10 When murmurs are detected, physicians will often reflexively order an echocardiogram and refer to a cardiologist, regardless of the cost or indication. As a consequence, echocardiography use is rising faster than the aging population or the incidence of cardiac pathological conditions would explain.11 Because cost‐effective medicine depends on the appropriate application of clinical skills like CE, the loss of these skills is a major shortcoming.1215

The reasons for the decline in physicians' CE skills are numerous. High reliance on ordering diagnostic tests,16 conducting teaching rounds away from the bedside,17, 18 time constraints during residency,16, 19 and declining CE skills of faculty members themselves7 all may contribute to the diminished CE skills of residents. Residents, who themselves identify abnormal heart sounds at alarmingly low rates, play an ever‐increasing role in medical students' instruction,7, 9 exacerbating the problem.

Responding to growing concerns over patient safety and quality of care,16, 20 public and professional organizations have called for renewed emphasis on teaching and evaluating clinical skills.21 For example, the American Board of Internal Medicine has added a physical diagnosis component to its recertification program.22 The Accreditation Council for Graduate Medical Education (ACGME) describes general competencies for residents, including patient care that should include proper physical examination skills.23 Although mandating uniform standards is a welcome change for improving CE competence, the challenge remains for medical school deans and program directors to fit structured physical examination skills training into an already crowded curriculum.16, 24 Moreover, the impact of these efforts to improve CE is uncertain because programs lack an objective measure of CE competence.

The CE training is itself a challenge: sight, sound, and touch all contribute to the clinical impression. For this reason, it is difficult to teach away from the bedside. Unlike pulmonary examination, for which a diagnosis is best made by listening, cardiac auscultation is only one (frequently overemphasized) aspect of CE.25 Medical knowledge of cardiac anatomy and physiology, visualization of cardiovascular findings, and integration of auditory and visual findings are all components of accurate CE.7 Traditionally, CE was taught through direct experience with patients at the bedside under the supervision of seasoned clinicians. However, exposure and learning from good teaching patients has waned. Audiotapes, heart sound simulators, mannequins, and other computer‐based interventions have been used as surrogates, but none has been widely adopted.26, 27 The best practice for teaching CE is not known.

To help to improve CE education during residency, we implemented and evaluated a novel Web‐based CE curriculum that emphasized 4 aspects of CE: cardiovascular anatomy and physiology, auditory skills, visual skills, and integration of auscultatory and visual findings. Our hypothesis was that this new curriculum would improve learning of CE skills, that residents would retain what they learn, and that this curriculum would be better than conventional education in teaching CE skills.

METHODS

Study Participants, Site, and Design

Internal medicine (IM) and family medicine (FM) interns (R1s, n = 59) from university‐ and community‐based residency programs, respectively, participated in this controlled trial of an educational intervention to teach CE.

The intervention group consisted of 26 IM and 8 FM interns at the beginning of the academic year in June 2003. To establish baseline scores, all interns took a 50‐question multimedia test of CE competency described previously.7, 28, 29 Subsequently, all interns completed a required 4‐week cardiology ward rotation. During this rotation, they were instructed to complete a Web‐based CE tutorial with accompanying worksheet and to attend 3 one‐hour sessions with a hospitalist instructor. Their schedules were arranged to allow for this educational time. During the third meeting with the instructor, interns were tested again to establish posttraining scores. Finally, at the end of the academic year, interns were tested once again to establish retention scores.

The control group consisted of 25 first‐year IM residents who were tested at the end of their academic year in June 2003. These test scores served as historical controls for interns who had just completed their first year of residency and who had received standard ward rotation without incorporated Web‐based training in CE. Interns from both groups had many opportunities for one‐on‐one instruction in CE because each intern was assigned for the cardiology rotation to a private practice cardiology attending. Figure 1 outlines the number of IM and FM interns eligible and the number actually tested at each stage of the study.

Figure 1
Study design. A total of 34 first‐year internal medicine (IM) and family medicine (FM) residents (R1s) were eligible for the study. Of these, 34 were tested at baseline during summer orientation, 33 were tested immediately after training, and 23 were tested for retention at the end of the academic year. From these sets, we were able to match 30 pairs of tests for baseline and posttraining and 18 pairs for baseline and retention. A total of 34 first‐year residents at the end of their internship (R2s) were eligible for the study and served as controls; 25 were actually tested. The study design permitted the following questions to be answered: (1) For the intervention group, did posttraining scores improve over those at baseline? (2) For the intervention group, were any improvements retained at the end of the year? (3) Did clinical training alone improve CE skills? (4) Finally, did the intervention group have higher test scores than the controls at the end of the year?

Educational Intervention

The CE curriculum consisted of a Web‐based program and 3 tutored sessions. The program used virtual patientsaudiovisual recordings of actual patientscombined with computer graphic animations and text to teach cardiac anatomy, hemodynamics, pathophysiology, and visual and auditory findings.30 This multimedia program was interactive and allowed comparisons to normal or to similar lesions. The content included cardiac findings identified as important by a survey of IM residency program directors,8 as well as ACGME training requirements for IM residents23 and cardiology fellows.31 Table 1 outlines the content of the Web‐based curriculum.

Web‐Based Curriculum Content
1. Frontal anatomy of heart, lungs, and vessels with:
a. Interactive illustrations allowing depiction of individual structures
b. Separate cartoons of anatomy of the right heart, left heart, and entire heart
c. Correlation with borders forming regions on chest X‐ray
2. Interactive phases of the cardiac cycle including:
a. Phonocardiogram of normal heart sounds (S1, S2)
b. ECG recording
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Animations of the left heart.
3. Physiological splitting of S2 with:
a. Phonocardiogram of normal heart sounds
b. ECG tracing
c. Left heart (aortic, left atrial, and left ventricular) pressures
d. Right heart (pulmonary artery, right atrial, and right ventricular) pressures
e. Interactive animations of the heart and lungs with respiration
4. Patients with aortic regurgitation (AR)
a. Integrating pulse with sounds and murmurs
b. Acute severe AR
Recognizing Quincke's pulse
c. Austin Flint murmur
Differentiating it from the pericardial rub
d. Hemodynamics of chronic and acute AR and comparisons
e. Well‐tolerated AR
5. Patient with aortic stenosis (AS)
a. Integrating pulse with sounds and murmurs
Comparison with HCM
b. Interactive descriptions of hemodynamics and flow
6. Patients with mitral regurgitation (MR)
a. Chronic MR
b. Hemodynamics and comparisons of clinical findings for:
i. Normal
ii. Mitral valve prolapse (MVP)
iii. Acute MR
iv. Compensated MR
c. Acute MR
7. Patients with mitral stenosis (MS)
a. Introduction: integrating inspection and auscultation
b. Compare sounds: opening snap, split S2, S3
c. Severe MS: interactive comparison of sounds at apex and base
d. Hemodynamic effects of heart rate

This training was designed for typical conditions of residency training programs: studentteacher contact time was limited to three 1‐hour sessions; the instructor (J.K.) was an internist hospitalist (trained and facile in the use of the program), not a cardiologist; and self‐paced study was Web‐based to allow access at all hours at the hospital or at home. In their first session, at the beginning of the cardiology block, interns were introduced to the Web site and given a 1‐page homework assignment that corresponded to the Web‐based content (Table 2). During the second session, in the middle of the 4‐week block, a group discussion was held with the Web‐based program, in which the interns asked questions and reviewed their worksheet answers and program as needed with the hospitalist. During the third session, at the end of the block, questions were reviewed, and the interns took the posttraining test.

Intern's Worksheet for Learning from the Web site
In preparation for the cardiology heart sounds module during the cardiology block at LBMMC, please answer the following questions and bring the completed questionnaire with you. The correct responses to these questions as well as the underlying mechanisms can be found in the Heart Sounds Tutorial (www.blaufuss.org).
1. Which cardiac chamber is farthest from the anterior chest wall? __________
2. Which cardiac chamber is closest to the left sternal border? ___________
3. Are the mitral and aortic valves ever closed at the same time? ____________
4. Why does inspiratory lung inflation delay the pulmonic second sound? ____________
5. Three or more murmurs of different origin can be heard in aortic regurgitation. What is their timing (within the cardiac cycle) and causation? ____________
6. How do you elicit Quincke's pulse? ____________
7. Is arterial pulse pressure greater in acute or chronic aortic regurgitation? ____________
8. How does the severity of aortic regurgitation correlate with duration of the early diastolic murmur? ____________
9. Splitting of the first sound heard with the stethoscope diaphragm in a patient with aortic stenosis is caused by? ____________
10. What effect does the severity have on the duration of the murmur of aortic stenosis? ____________
11. Is the murmur of aortic stenosis ever holosystolic? ____________
12. Is the duration of the murmur of acute mitral regurgitation shorter or longer than that of chronic mitral regurgitation? ____________
13. What causes the third heart sound (S3) in mitral regurgitation? ____________
14. Why is the jugular venous a‐wave often prominent in mitral stenosis? ____________
15. Which heart sound is loudest in mitral stenosis?Why? ____________
16. What causes the split sound heard in mitral stenosis? ____________
17. Where (on the precordium) would you hear the murmur of mitral stenosis ____________
18. How do postural maneuvers affect the heart sounds and murmur in mitral prolapse? ____________
19. A 3‐phase friction rub can be confused with the 3‐murmur auditory complex in which valvar lesion? ____________
20. What are some causes of third heart sounds that do not imply poor ventricular function? ____________
21. Is a fourth heart sound usually best heard at the base (□Yes □No) or the apex (□Yes □No)?

Evaluation

To evaluate what the R1 intervention group learned, we tested them at baseline, during internship orientation; in posttraining, at the end of their cardiology rotation; and for retention, at the end of their internship year. To evaluate what the controls learned, we tested them at the end of their internship year. The evaluation included a brief survey and the previously validated CE Test.7, 28, 29 Test scores did not carry academic consequences.

For the survey, we asked participants whether they had some prior training in CE and how many hours they estimated having spent learning CE skills during this study with a teacher or in a course. Using a 5‐point Likert scale, they self‐rated their interest and confidence in their own CE skills.

The CE Test is a 50‐question interactive multimedia program that evaluates CE competency using recordings from actual patients. For the CE Test, an overall score (maximum 100 points) and scores for 4 subcategories (expressed as percentages)knowledge of cardiac physiology (interpretation of pressures, sounds and flow related to cardiac contraction and relaxation), audio skills, visual skills, and integration of audio and visual skillsare computed. The same assessment instrument was used for all groups.

Statistical Analysis

Figure 1 lists the tests used to answer the following research questions:

  • Does the Web‐based curriculum improve CE skills? We compared intervention baseline and posttraining scores using the paired t test for means.

  • Do interns retain this improvement in skills? We compared intervention baseline and end‐of‐year scores using paired the t test for means.

  • Does clinical training alone improve CE skills? We compared intervention baseline and control end‐of‐year scores using the t test for means.

  • Is the Web‐based curriculum better than clinical training alone? We compared intervention and control end‐of‐year scores using the t test for means.

 

We used the paired t test when baseline and posttraining scores of the same intern could be matched. To test for differences in CE competency between the intervention and control groups, we compared mean scores using the independent Student t test for equal or unequal group variances, as appropriate. Because the interval from posttraining to end‐of‐year testing was variable, it was possible that longer time intervals could allow learning to decay. Therefore, we computed the Spearman correlation coefficient between follow‐up months, and the change in score from post‐Web training to end‐of‐year Pearson correlation coefficients was computed to examine associations of survey variables with test scores. The 2‐sided nominal P < .05 criterion was used to determine statistical significance. Analyses were performed with SPSS statistical software, version 13.0 (SPSS, Inc., Chicago, IL).

Institutional review board approval was granted to this study as exempted research in established educational settings involving normal educational practices.

RESULTS

Research Question 1

Individual baseline and posttraining CE Test scores for the intervention group are plotted in the first 2 columns of Figure 2. The posttraining mean score improved from baseline (66.0 5.2 vs. 54.2 5.4, P = .002). The knowledge, audio, and visual subcategories of CE competence showed similar improvements (P .001; Table 3). The score for the integration of audiovisual skills subcategory was higher at baseline than the other subcategory scores and remained unchanged.

Figure 2
The CE overall competency for Web and clinical training versus clinical training alone. Test scores for each resident are plotted in the intervention (Web clinical training) and control (clinical training alone) groups. Lines connect pre‐ and posttest scores of each pair of pre‐ and posttests. Mean test scores are indicated with a horizontal bar. (1) For the intervention group, did posttraining scores improve over those of baseline? Mean scores for the Web clinical training group improved from a baseline score of 54.2 to a posttraining score of 66.0 (P = .002). (2) For the intervention group, were any improvements retained at the end of the year? When tested at the end of their internship, the improvement from baseline (54.2) to retention (63.5) was maintained (P = .02). Two separate groups made up the controls, who received standard training: the class of 2003 (tested at baseline) and their predecessors, the class of 2002 (tested at retention). The intent was to capture the skill set of interns at the beginning and end of their academic year. (3) Does clinical training alone improve CE skills? At baseline, the overall competency score of the control group was slightly higher than that of the intervention group (56.8 vs. 54.7), but that difference was not significant (P = .54). (4) Finally, did the intervention group have higher test scores than the controls at the end of the year? Retention scores were compared for Web clinical training and clinical training alone: Web training retention (64.7) was higher than clinical training alone retention (56.8, P = .05).
Subcategory and Overall CE Competency Scores of Intervention and Control Groups for 4 Research Questions
Question 1. Does the Web‐based curriculum improve CE skills?
SubcategoryIntervention baseline (n = 30)Intervention end of year (n = 30)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 2. Do interns retain this improvement?
SubcategoryIntervention baseline (n = 18)Intervention end of year (n = 18)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (paired t test)
Question 3. Does clinical training alone improve CE skills?
SubcategoryIntervention baseline* (n = 34)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
Question 4. Is the Web‐based curriculum better than clinical training alone?
SubcategoryIntervention end of year (n = 23)Control end of year (n = 25)
Mean, % (SD)95% CIMean, % (SD)95% CIP value (t test)
  • Baseline scores for Web training also served as baseline scores for clinical training alone.

  • CE, cardiac examination; SD, standard deviation; 95% CI, 95% confidence interval for mean.

  • The full text of the questions were:

  • Question 1. Immediately after cardiology rotation, concomitant Web‐based training improved knowledge, audio, and visual skills scores as well as overall CE competency score.

  • Question 2. At the end of the year, interns retained the improvement in knowledge and audio skills and overall CE competency.

  • Question 3. The standard cardiology rotation did not significantly improve either CE subcategory scores or the overall competency score.

  • Question 4. When compared at the end of the year, intervention interns (those who received Web training) showed significantly better knowledge, audio, and overall competency scores.

Knowledge55.9% (14.7%)50.4%‐61.4%68.9% (15.3%)63.2%‐74.6%<.001
Audio69.6% (17.4%)63.1%‐76.0%83.6% (10.3%)79.7%‐87.4 %<.001
Visual56.7% (21.4%)48.7%‐64.7%71.9% (16.6%)65.7%‐78.1%<.001
Integration77.5% (14.5%)72.1%‐83.0%76.8% (12.8%)72.1%‐81.6%.85
Overall score54.2% (14.5%)48.8%‐59.6%66.0% (13.6%)60.9%‐71.2%.002
Knowledge58.6% (15.2%)51.0%‐66.2%67.6% (16.7%)60.4%‐74.9%.05
Audio67.4% (17.1%)58.9%‐75.9%82.3% (10.4%)77.8%‐86.8%.004
Visual51.6% (22.0%)40.7%‐62.5%65.2% (20.6%)56.3%‐74.1%.13
Integration76.0 % (15.8%)68.2%‐83.8%77.1% (13.2%)71.4%‐82.8%.95
Overall score51.8 % (15.0%)44.3%‐59.3%63.5% (14.9%)56.1%‐70.9%.02
Knowledge56.5% (14.6%)51.4%‐61.6%57.8% (15.4%)51.4%‐64.1%.75
Audio70.0% (16.9%)64.1%‐75.9%73.3% (13.6%)67.7%‐79.0%.42
Visual57.6% (20.9%)50.3%‐64.9%66.9% (15.3%)60.6%‐73.2%.07
Integration77.8% (13.8%)72.9%‐82.5%76.0% (12.2%)71.0%‐81.0%.62
Overall score54.7% (13.7%)49.9%‐59.5%56.8% (12.4%)51.7%‐61.9%.54
Knowledge67.6% (16.7%)60.4%‐74.8%57.8% (15.4%)51.4%‐64.1%0.04
Audio82.3% (10.4%)77.8%‐86.8%73.3% (13.6%)67.7%‐79.0%0.01
Visual65.2% (20.6%)56.3%‐74.1%66.9% (15.3%)60.6%‐73.2%0.75
Integration77.1% (13.2%)71.4%‐82.8%76.0% (12.2%)71.0%‐81.0%0.76
Overall score64.7% (14.5%)58.4%‐71.0%56.8% (12.4%)51.7%‐61.9%0.05

Research Question 2

End‐of‐year scores are plotted in the third column of Figure 2. Overall scores remained higher at the end of the internship year than at baseline (63.5 7.4, P = .02). Improvements in knowledge and audio skills were retained as well (P .05; Table 3). Visual skills (inspection of neck and precordium), however, showed a steep decline, from 71.9 to 65.2, a score indistinguishable from that of the controls (66.9, P = .75). The interval from posttraining to end‐of‐year testing varied; the mean was 21 weeks. The Spearman correlation coefficient between follow‐up months and change in score from post‐Web training to the end of the year was not significant. ( = 0.12, P = .64). To reinforce the results of the correlational analysis, the paired t test was used to compute the t value for 18 interns matched at post‐Web training and retention testing, but the result was not significant (P = .61), indicating that without further training, R1 intervention scores did not change over time.

Research Question 3

Baseline scores for the control group (the prior year's interns) were not available, since the interns had just completed their academic year when the study began. Therefore the baseline scores from the present year's interns were used as a surrogate. Comparing these 2 groups (intervention at baseline, and controls at the end of the year), no difference was observed between mean scores (54.7 4.8 vs. 56.8 5.1, P = .54). Controls scored slightly higher at baseline in visual skills than did interns who received the intervention, but not significantly so (P = .07). There were also no differences in knowledge, audio skills, and integration of audio and visual skills.

Research Question 4

When we compared overall scores at the end of the year, the mean score for the intervention group was higher than that of the controls (64.7 6.3 vs. 56.8 5.1, P = .05). Similarly, knowledge and auditory scores indicated the intervention group had better competency (P .04), but visual and integration skills did not.

Survey

The vast majority of those in both the intervention (88%) and control groups (83%) reported some prior training in CE. In this study the mean total number of hours that those in the intervention group reported they spent preparing was 5.1 2.0 hours (range 2‐25 hours). This number of hours included the three 1‐hour sessions spent with the instructor. The control group reported they spent almost twice as many hours in CE instruction: a mean of 10.1 4.8 hours (range 2‐30 hours, P = .05). On a Likert scale of 1‐5 (from no interest to high interest), both the intervention and control groups expressed high interest in learning CE (4.7 0.2 and 4.4 0.5, respectively; P = .3). Despite significant differences in CE Test scores, the intervention and control groups shared the same confidence in their abilities (2.5 0.3, P = .82). Neither time spent learning nor interest level correlated with overall CE Test score.

DISCUSSION

To improve CE competence of residents, we designed and implemented a Web‐based CE curriculum using virtual patients (VPs), which standardized the interns' exposure to a spectrum of medical conditions and allowed them flexibility in choosing when and where the training occurred.30 In this controlled educational intervention, we found significant improvements in interns' mean CE competency scores immediately following the Web‐based training; these improvements were retained at the end of the academic year. The Web‐based curriculum also improved scores in all 4 subcategories except integration of audio and visual skills. Although cardiac physiology knowledge and audio skills were retained, visual skills showed a steep decline. This decline suggests that visual skills may be more labile and could benefit from more regular reinforcement. It may also be that old habits die hard: in an earlier study of baseline CE competency, we observed that most participants listened with their eyes closed or averted, actively tuning out the visual timing reference that would help them answer the question.7

Comparing control and intervention retention scores suggests that the Web‐based training is more effective than traditional training in CE. The interns spent a mean of 5 hours learning, including 3 hours with the hospitalist‐instructor. Of those 3 hours, 30 minutes was spent taking the test. Earlier studies32, 33 showed improved CE skills with 12‐20 hours of instructor‐led tutorials. The shorter instruction time for interns in this study translated into about half the magnitude of improvement that was seen in third‐year medical students, whose mean score improved from 58.7 6.7 to 73.4 3.8. Moreover, the students in the earlier study continued to show improvement in their CE competency without further intervention, whereas the test scores of interns in this study appeared to plateau. It is therefore likely that 5 hours per year is a lower bound for successful Web‐based CE training. For this reason, we do not recommend fewer than 5 hours per year of CE training using a Web‐based curriculum (including self‐study). Ideally, sessions should be scheduled each year in residency in order to form a critical mass of learning that has the potential to continue improvements beyond residency training.

When surveyed, interns in both the intervention and control groups were very interested in improving their skills but were not confident in their abilities. In fact, confidence did not correlate with ability, which suggests interns (and possibly others)34 do not have a reliable, intrinsic sense of their CE skills. Curiously, the control group reported spending almost twice the number of hours learning CE that the intervention group did. It is unlikely that the intervention group received less traditional instruction than the control group. Therefore, it is more likely that in estimating the hours spent learning CE, the intervention group reported only the formal instruction plus self‐study hours spent on cardiac examination. One way to interpret the greater number of hours of instruction reported by the controls is to look at their end‐of‐the‐year estimate of how much instruction they had received in the previous 12 months. The controls did not benefit from formal instruction in cardiac examination, and so their estimate included the hours spent with physician attendings receiving traditional bedside instruction. The number of hours reported by the controls could be accurate or could be an overestimate. If accurate, the greater number of hours for the controls did not translate into superior performance on the CE Test. If an overestimate, hindsight bias may have inflated the actual hours spent.

Some may argue that VPs are a poor substitute for actual patients. With few reservations, we are inclined to agree. The best training for CE is at the bedside with a clinical master and the luxury of time. Today, however, teaching has shifted from the bedside to conference rooms and even corridors.17, 18 Consequently, opportunities to practice hands‐on CE have become rare. Even when physical examination is performed at the bedside, the quality of the instruction on it depends on the teacher's interest, abilities, and available patients. Our intent was to implement a standardized curriculum that ensures that CE is practiced and tested regularly in order to prevent the creation of a generation of practicing physicians who never develop these skills.

A hospitalist, not a cardiologist, led the intervention. Because cardiac conditions are involved in more than 40% of admissions to the medical wards, a hospitalist should be able to evaluate a patient through physical examination in order to determine whether further tests are necessary or whether a cardiologist should be consulted. In academic medicine, most teaching of cardiac examination is no longer done by cardiologists, but rather by internists.31 Hospital medicine attendings often play a central role as attending physicians for medical students and house officers, and the hospitalist can and should play a larger role in bedside teaching. A Web‐based curriculum for residents that can be accessed at all hours is also suited to residents who have inpatient rotations.

Our CE curriculum was designed for the typical conditions of today's residency training programs, in which education must be balanced with the demands of patient care and the constraints of the limits on resident duty hours.16, 24 Studentfaculty contact time was limited to three 1‐hour sessions, reflecting the time constraints of most training programs.13, 16, 19 The program was incorporated into the regularly scheduled cardiology block throughout the academic year, ensuring that residents received broad exposure to cardiac clinical presentations at a time when bedside encounters with important cardiac physical findings were most likely. The goal was not to reduce or eliminate bedside teaching but to make the limited time that remained more productive. The fidelity of the training to actual bedside encounters was high: unlike the lone audio recordings of heart sounds, VPs in this study also simultaneously presented visual pulsation in the neck or precordium, training the resident to use these visual timing cues while auscultating patients. Furthermore, the Web‐based multimedia technology employed allowed direct comparison of a patient's bedside findings with case‐matched laboratory studies, which was enhanced with explanatory animations and tutorials. Working within the constraints of residency training programs, we were able to standardize the cardiac clinical exposure of trainees and to test for improvement in and retention of CE skills.

Several limitations should be considered. Although VPs mimic bedside patient encounters, we do not know if improvements from this Web‐based curriculum translate into improvements in patient care. Ideally, the study would have been conducted at more than 1 site in order to test whether the positive results we found are replicated elsewhere. Mitigating these drawbacks are the real‐world conditions of our study: the teaching hospital that conducted the study was not involved in the Web site development, and an internist‐hospitalist, not a cardiologist, led the instruction. In theory, the baseline testing itself may have boosted the posttraining scores of the intervention group simply by motivating the interns to improve their test scores. However, only an overall score was reported to interns; they were not told which questions they missed or in what subcategory they were most deficient. Although simple exposure to the test may be the reason for the interns' improvement, it has been shown that the test has testretest reliability over a 4‐ to 6‐week period28, 29 and that test scores do not improve with prior exposure to the test. Because those in the intervention group knew that they would be retested, we cannot eliminate the possibility that they were somehow more motivated to do well on the test by the end of the year. Finally, there may have been differences in the ward training received by the 2 groups of interns studied. The test scores of interns in the control group may not have been as high because of differences in patients admitted, topics discussed, or teaching attendings assigned to them during the academic year; however, because there were no radical changes from the previous year in either the patient population or the group of attending physicians, the differences in the quality of patient encounters between the control and intervention groups are thought to be minor.

In conclusion, the Web‐based curriculum met all the requirements for being effective education: it was self‐directed, interactive, relevant, and cost effective. This novel curriculum standardized learning experience during the cardiology block and saved time for both teacher and trainees. Baseline assessment helped to focus learning. Involvement of an instructor‐hospitalist added accountability, a resource for answering questions, and encouragement for building self‐study skills. More importantly, a realistic and reproducible test of CE skills documented whether the learning objectives were meta feature that is becoming increasingly desirable to residency program directors.35 Our study showed that training with virtual patients yields superior mean CE competency scores over those with standard cardiology ward rotations. Further studies may confirm whether this improvement in CE translates to improvement in making appropriate observations and diagnoses of actual patients.

Acknowledgements

The authors first thank their interns and residents for their willingness to participate in the training and to take the test. They also thank Dr. Lloyd Rucker, program director, University of California Irvine Internal Medicine Residency Program and Dr. John Michael Criley for his guidance in how to use the test and in designing the intervention. Finally, they thank David Criley for his contribution in developing the Web site.

References
  1. Gillespie ND,McNeill G,Pringle T,Ogston S,Struthers AD,Pringle SD.Cross‐sectional study of contribution of clinical assessment and simple cardiac investigations to diagnosis of left ventricular systolic dysfunction in patients admitted with acute dyspnea.BMJ.1997;314:936940.
  2. Agency for Health Care Policy and Research.Heart failure: evaluation and care of patients with left‐ventricular systolic dysfunction.Rockville, MD:U.S. Department of Health and Human Services;1994.
  3. Roldan CA,Shively BK,Crawford MH.Value of the cardiovascular physical examination for detecting valvular heart disease in asymptomatic subjects.Am J Cardiol.1996;77:13271331.
  4. Lembo NJ,Dell'Italia LJ,Crawford MH, et al.Bedside diagnosis of systolic murmurs.N Engl J Med.1988;318:15721578.
  5. Danford DA,Nasir A.Gumbiner C. Cost assessment for evaluation of heart murmurs in children.Pediatrics.1993;91:365:368.
  6. Phoon CKL.Estimation of pressure gradients by auscultation: an innovative and accurate physical examination technique.Am Heart J.2001;141:500506.
  7. Vukanovic‐Criley JM,Criley SR,Warde C, et al.Competency in cardiac examination skills in medical students, trainees, physicians and faculty: a multicenter study.Arch Intern Med.2006;166:610616.
  8. Mangione S,Nieman LZ,Gracely E,Kaye D.The teaching and practice of cardiac auscultation during internal medicine and cardiology training.Ann Intern Med.1993;119:4754.
  9. Mangione S,Nieman LZ.Cardiac auscultatory skills of internal medicine and family practice trainees: a comparison of diagnostic proficiency.JAMA.1997;278:717722.
  10. Wray NP,Friedland JA.Detection and correction of house staff error in physical diagnosis.JAMA.1983;249:10351037.
  11. Blanchard GP.Is listening through a stethoscope a dying art?Boston Globe May 25,2004.
  12. Clement DL,Cohn JN.Salvaging the history, physical examination and doctor‐patient relationship in a technological cardiology environment.J Am Coll Cardiol.1999;33:892893.
  13. DeMaria AN.Wither the Cardiac Physical Examination?J Am Coll Cardiol.2006;48:21562157.
  14. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 1.Mod Concepts Cardiovasc Dis.1990;59:1924.
  15. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 2.Mod Concepts Cardiovasc Dis.1990;59:2530.
  16. Simel DL.Time, now, to recover the fun in the physical examination rather than abandon it.Arch Intern Med.2006;166:603604.
  17. LaCombe MA.On bedside teaching.Ann Intern Med.1997;126:217220.
  18. Collins GF.Cassie JM, Daggett CJ. The role of the attending physician in clinical training.J Med Educ.1978;53:429431.
  19. Shankel SW.Mazzaferri EL.Teaching the resident in infernal medicine: present practices and suggestions for the future.JAMA.1986:256:725729.
  20. Thibault GE.Bedside rounds revisited.N Engl J Med.1997;336:11741175.
  21. Holmboe ES,Hawkins RE,Huot JS.Effects of training in direct observation of medical residents' clinical competence a randomized trial.Ann Intern Med.2004;140:874881.
  22. American Board of Internal Medicine. Clinical Skills/PESEP. Available at: http://www.abim.org/moc/semmed.shtm. Accessed July 9,2007.
  23. Accreditation Council for Graduate Medical Education (ACGME). General Competencies and Outcomes Assessment for Designated Institutional Officials. Available at: http://www.acgme.org/outcome/comp/compFull.asp. Accessed July 9,2007.
  24. Accreditation Council for Graduate Medical Education, Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf. Accessed, July 9,2007.
  25. Conn RD.Letter to the Editor re: Cardiac auscultatory skills of physicians‐in‐training: comparison of three English‐speaking countries.Am J Med.2001;111:505506.
  26. St. Clair EW,Oddone EZ,Waugh RA, et al.Assessing housestaff diagnostic skills using a cardiology patient simulator.Ann Intern Med.1992;117:751756.
  27. Mangione S,Nieman LZ,Greenspon LW,Marguiles H.A comparison of computer assisted instruction and small group teaching of cardiac auscultation to medical students.Med Educ.1991;25:389395.
  28. Warde C,Criley S,Criley D,Boker J,Criley J.Validation of a multimedia measure of cardiac physical examination proficiency.Boston, MA:Association of American Medical Colleges Group on Educational Affairs, Research in Medical Education Summary Presentations;November,2004.
  29. Warde C,Vukanovic‐Criley JM,Criley SR,Boker J,Criley JM.Validation of a computerized test to assess competence in the cardiac physical examination. Submitted for publication,2007.
  30. Blaufuss Medical Multimedia Laboratory. Heart sounds tutorial. Available at: http://www.blaufuss.org. Accessed July 7,2007.
  31. Gregoratos G,Miller AB.30th Bethesda Conference: The Future of Academic Cardiology. Task force 3: teaching.J Am Coll Cardiol.1999;33:11201127.
  32. Criley SR,Criley DG,Criley JM.Beyond Heart Sounds: An interactive teaching and skills testing program for cardiac examination.Comput Cardiol.2000;27:591594.
  33. Vukanovic‐Criley JM,Boker JR,Criley SR,Rajagopalan S,Criley JM.Using virtual patients to improve cardiac examination competency in medical students. In press,Clin Cardiol.
  34. Davis DA,Mazmanian PE,Fordis M,Van Harrison R,Thorpe KE,Perrier L.Accuracy of physician self‐assessment compared with observed measures of competence; a systematic review.JAMA.2006;296: 9;10941102.
  35. Swing SR.Assessing the ACGME general competencies: general considerations and assessment methods.Acad Emerg Med.2002;9:12781288.
References
  1. Gillespie ND,McNeill G,Pringle T,Ogston S,Struthers AD,Pringle SD.Cross‐sectional study of contribution of clinical assessment and simple cardiac investigations to diagnosis of left ventricular systolic dysfunction in patients admitted with acute dyspnea.BMJ.1997;314:936940.
  2. Agency for Health Care Policy and Research.Heart failure: evaluation and care of patients with left‐ventricular systolic dysfunction.Rockville, MD:U.S. Department of Health and Human Services;1994.
  3. Roldan CA,Shively BK,Crawford MH.Value of the cardiovascular physical examination for detecting valvular heart disease in asymptomatic subjects.Am J Cardiol.1996;77:13271331.
  4. Lembo NJ,Dell'Italia LJ,Crawford MH, et al.Bedside diagnosis of systolic murmurs.N Engl J Med.1988;318:15721578.
  5. Danford DA,Nasir A.Gumbiner C. Cost assessment for evaluation of heart murmurs in children.Pediatrics.1993;91:365:368.
  6. Phoon CKL.Estimation of pressure gradients by auscultation: an innovative and accurate physical examination technique.Am Heart J.2001;141:500506.
  7. Vukanovic‐Criley JM,Criley SR,Warde C, et al.Competency in cardiac examination skills in medical students, trainees, physicians and faculty: a multicenter study.Arch Intern Med.2006;166:610616.
  8. Mangione S,Nieman LZ,Gracely E,Kaye D.The teaching and practice of cardiac auscultation during internal medicine and cardiology training.Ann Intern Med.1993;119:4754.
  9. Mangione S,Nieman LZ.Cardiac auscultatory skills of internal medicine and family practice trainees: a comparison of diagnostic proficiency.JAMA.1997;278:717722.
  10. Wray NP,Friedland JA.Detection and correction of house staff error in physical diagnosis.JAMA.1983;249:10351037.
  11. Blanchard GP.Is listening through a stethoscope a dying art?Boston Globe May 25,2004.
  12. Clement DL,Cohn JN.Salvaging the history, physical examination and doctor‐patient relationship in a technological cardiology environment.J Am Coll Cardiol.1999;33:892893.
  13. DeMaria AN.Wither the Cardiac Physical Examination?J Am Coll Cardiol.2006;48:21562157.
  14. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 1.Mod Concepts Cardiovasc Dis.1990;59:1924.
  15. Criley JM,Siegel RJ.New techniques should enhance, not replace, bedside diagnostic skills in cardiology, Part 2.Mod Concepts Cardiovasc Dis.1990;59:2530.
  16. Simel DL.Time, now, to recover the fun in the physical examination rather than abandon it.Arch Intern Med.2006;166:603604.
  17. LaCombe MA.On bedside teaching.Ann Intern Med.1997;126:217220.
  18. Collins GF.Cassie JM, Daggett CJ. The role of the attending physician in clinical training.J Med Educ.1978;53:429431.
  19. Shankel SW.Mazzaferri EL.Teaching the resident in infernal medicine: present practices and suggestions for the future.JAMA.1986:256:725729.
  20. Thibault GE.Bedside rounds revisited.N Engl J Med.1997;336:11741175.
  21. Holmboe ES,Hawkins RE,Huot JS.Effects of training in direct observation of medical residents' clinical competence a randomized trial.Ann Intern Med.2004;140:874881.
  22. American Board of Internal Medicine. Clinical Skills/PESEP. Available at: http://www.abim.org/moc/semmed.shtm. Accessed July 9,2007.
  23. Accreditation Council for Graduate Medical Education (ACGME). General Competencies and Outcomes Assessment for Designated Institutional Officials. Available at: http://www.acgme.org/outcome/comp/compFull.asp. Accessed July 9,2007.
  24. Accreditation Council for Graduate Medical Education, Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_dutyHoursCommonPR.pdf. Accessed, July 9,2007.
  25. Conn RD.Letter to the Editor re: Cardiac auscultatory skills of physicians‐in‐training: comparison of three English‐speaking countries.Am J Med.2001;111:505506.
  26. St. Clair EW,Oddone EZ,Waugh RA, et al.Assessing housestaff diagnostic skills using a cardiology patient simulator.Ann Intern Med.1992;117:751756.
  27. Mangione S,Nieman LZ,Greenspon LW,Marguiles H.A comparison of computer assisted instruction and small group teaching of cardiac auscultation to medical students.Med Educ.1991;25:389395.
  28. Warde C,Criley S,Criley D,Boker J,Criley J.Validation of a multimedia measure of cardiac physical examination proficiency.Boston, MA:Association of American Medical Colleges Group on Educational Affairs, Research in Medical Education Summary Presentations;November,2004.
  29. Warde C,Vukanovic‐Criley JM,Criley SR,Boker J,Criley JM.Validation of a computerized test to assess competence in the cardiac physical examination. Submitted for publication,2007.
  30. Blaufuss Medical Multimedia Laboratory. Heart sounds tutorial. Available at: http://www.blaufuss.org. Accessed July 7,2007.
  31. Gregoratos G,Miller AB.30th Bethesda Conference: The Future of Academic Cardiology. Task force 3: teaching.J Am Coll Cardiol.1999;33:11201127.
  32. Criley SR,Criley DG,Criley JM.Beyond Heart Sounds: An interactive teaching and skills testing program for cardiac examination.Comput Cardiol.2000;27:591594.
  33. Vukanovic‐Criley JM,Boker JR,Criley SR,Rajagopalan S,Criley JM.Using virtual patients to improve cardiac examination competency in medical students. In press,Clin Cardiol.
  34. Davis DA,Mazmanian PE,Fordis M,Van Harrison R,Thorpe KE,Perrier L.Accuracy of physician self‐assessment compared with observed measures of competence; a systematic review.JAMA.2006;296: 9;10941102.
  35. Swing SR.Assessing the ACGME general competencies: general considerations and assessment methods.Acad Emerg Med.2002;9:12781288.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
124-133
Page Number
124-133
Article Type
Display Headline
Innovative web‐based multimedia curriculum improves cardiac examination competency of residents
Display Headline
Innovative web‐based multimedia curriculum improves cardiac examination competency of residents
Legacy Keywords
cardiology/education, heart sounds, heart murmurs/diagnosis/physiopathology, heart/anatomy and histology/physiology, physical examination/standards, clinical competence, competency‐based education/standards, educational measurement/methods, benchmarking, curriculum, time factors, virtual patients, multimedia, computer‐assisted instruction, user‐computer interface, educational technology, internet internship and residency/standards, reproducibility of results
Legacy Keywords
cardiology/education, heart sounds, heart murmurs/diagnosis/physiopathology, heart/anatomy and histology/physiology, physical examination/standards, clinical competence, competency‐based education/standards, educational measurement/methods, benchmarking, curriculum, time factors, virtual patients, multimedia, computer‐assisted instruction, user‐computer interface, educational technology, internet internship and residency/standards, reproducibility of results
Sections
Article Source

Copyright © 2008 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
UCLA David Geffen School of Medicine, St. Mary Medical Center, 1050 Linden Avenue, Long Beach, CA 90813
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Article PDF Media

Purpuric Rash of Meningococcemia

Article Type
Changed
Mon, 01/02/2017 - 19:34
Display Headline
Purpuric rash of meningococcemia

A previously healthy 62‐year‐old man presented to the emergency department with 4 days of headache, fever, and chills. Within several hours of presentation, he developed septic shock. His temperature was 39C, and his white blood count was 17,000/mm3 with 38% bands. He had acute renal failure (creatinine = 2.5) and mild mental status changes. His blood pressure decreased from 103/63 to 71/46 and was not responsive to intravenous fluid administration. He therefore was begun on pressors. Eight hours after arrival, a petechial and purpuric rash suddenly appeared on the patient's extremities, including the palms of his hands (Fig. 1). Ceftriaxone was added to his initial antibiotics (vancomycin and pipercillin‐tazobactam), and he was treated with stress‐dose hydrocortisone and activated drotrecogin alpha. The following day, blood cultures grew gram‐negative diplococci in pairs, and preventive measures were taken, including treating close contacts and placing the patient under droplet precautions. The cultures eventually confirmed Neisseria meningitidis. The patient made excellent progresshis mental status improved, he was weaned off pressors after 3 days, and his renal failure resolved. Figure 2 demonstrates the evolution of the purpuric lesions, which became more prominent as he otherwise made clinical improvement. He was discharged home after 2 weeks of intravenous ceftriaxone in good condition.

Figure 1
Day of admission.
Figure 2
Hospital day 7.
Article PDF
Issue
Journal of Hospital Medicine - 3(2)
Page Number
169-169
Sections
Article PDF
Article PDF

A previously healthy 62‐year‐old man presented to the emergency department with 4 days of headache, fever, and chills. Within several hours of presentation, he developed septic shock. His temperature was 39C, and his white blood count was 17,000/mm3 with 38% bands. He had acute renal failure (creatinine = 2.5) and mild mental status changes. His blood pressure decreased from 103/63 to 71/46 and was not responsive to intravenous fluid administration. He therefore was begun on pressors. Eight hours after arrival, a petechial and purpuric rash suddenly appeared on the patient's extremities, including the palms of his hands (Fig. 1). Ceftriaxone was added to his initial antibiotics (vancomycin and pipercillin‐tazobactam), and he was treated with stress‐dose hydrocortisone and activated drotrecogin alpha. The following day, blood cultures grew gram‐negative diplococci in pairs, and preventive measures were taken, including treating close contacts and placing the patient under droplet precautions. The cultures eventually confirmed Neisseria meningitidis. The patient made excellent progresshis mental status improved, he was weaned off pressors after 3 days, and his renal failure resolved. Figure 2 demonstrates the evolution of the purpuric lesions, which became more prominent as he otherwise made clinical improvement. He was discharged home after 2 weeks of intravenous ceftriaxone in good condition.

Figure 1
Day of admission.
Figure 2
Hospital day 7.

A previously healthy 62‐year‐old man presented to the emergency department with 4 days of headache, fever, and chills. Within several hours of presentation, he developed septic shock. His temperature was 39C, and his white blood count was 17,000/mm3 with 38% bands. He had acute renal failure (creatinine = 2.5) and mild mental status changes. His blood pressure decreased from 103/63 to 71/46 and was not responsive to intravenous fluid administration. He therefore was begun on pressors. Eight hours after arrival, a petechial and purpuric rash suddenly appeared on the patient's extremities, including the palms of his hands (Fig. 1). Ceftriaxone was added to his initial antibiotics (vancomycin and pipercillin‐tazobactam), and he was treated with stress‐dose hydrocortisone and activated drotrecogin alpha. The following day, blood cultures grew gram‐negative diplococci in pairs, and preventive measures were taken, including treating close contacts and placing the patient under droplet precautions. The cultures eventually confirmed Neisseria meningitidis. The patient made excellent progresshis mental status improved, he was weaned off pressors after 3 days, and his renal failure resolved. Figure 2 demonstrates the evolution of the purpuric lesions, which became more prominent as he otherwise made clinical improvement. He was discharged home after 2 weeks of intravenous ceftriaxone in good condition.

Figure 1
Day of admission.
Figure 2
Hospital day 7.
Issue
Journal of Hospital Medicine - 3(2)
Issue
Journal of Hospital Medicine - 3(2)
Page Number
169-169
Page Number
169-169
Article Type
Display Headline
Purpuric rash of meningococcemia
Display Headline
Purpuric rash of meningococcemia
Sections
Article Source
Copyright © 2008 Society of Hospital Medicine
Disallow All Ads
Correspondence Location
19523 Ballinger St., Northridge, CA 91324
Content Gating
Gated (full article locked unless allowed per User)
Gating Strategy
First Peek Free
Article PDF Media