User login
CDU is Associated with Decreased LOS
Hospitalists play a crucial role in improving hospital throughput and length of stay (LOS). The clinical decision unit (CDU) or observation unit (OU) is a strategy that was developed to facilitate both aims. CDUs and OUs are units where patients can be managed in the hospital for up to 24 hours prior to a decision being made to admit or discharge. Observation care is provided to patients who require further treatment or monitoring beyond what is accomplished in the emergency department (ED), but who do not require inpatient admission. CDUs arose in the 1990s in response to a desire to decrease inpatient costs as well as changing Medicare guidelines, which recognized observation status. Initially, CDUs and OUs were located within the ED and run by emergency medicine physicians. However, at the turn of the 21st century, hospitalists became involved in observation medicine, and the Society of Hospital Medicine issued a white paper on the OU in 2007. [1] Today, up to 50% of CDUs and OUs nationally are managed by hospitalists and located physically outside of the ED.[2, 3]
Despite the fact that nearly half of all CDUs and OUs nationally are run by hospitalists, there has been little published regarding the impact of hospitalist‐driven units. This study demonstrates the effect of observation care delivered in a hospitalist‐run geographic CDU. The primary objective was to determine the impact on LOS for patients in observation status managed in a hospitalist‐run CDU compared with LOS for observation patients with the same diagnoses cared for on medicalsurgical units prior to the existence of the CDU. The secondary objective was to determine the effect on the 30‐day ED or hospital revisit rate, as well as ED LOS. This work will guide health systems, hospitalist groups, and physicians in their decision making regarding the future structure and process of CDUs.
METHODS
Study Design
The Cooper University Hospital institutional review board approved this study. The study took place at Cooper University Hospital, a large, urban, academic safety‐net hospital providing tertiary care located in Camden, New Jersey.
We performed a retrospective observational study of all adult observation encounters at the study hospital from July 2010 to January 2011, and July 2011 through January 2012. During the second time period, patients could have been managed in the CDU or on a medicalsurgical unit. We recorded the following demographic data: age, gender, race, principal diagnosis, and payer, as well as several outcomes of interest, including: LOS (defined as the time separating the admitting physician order from discharge), ED visits within 30 days of discharge, and hospital revisits (observation or inpatient) within 30 days.
Data Sources
Data were culled by the institution's performance improvement department from the electronic medical record, as well as cost accounting and claims‐based sources.
Clinical Decision Unit
The CDU at Cooper University Hospital opened in June 2011 and is a 20‐bed geographically distinct unit adjacent to the ED. During the study period, it was staffed 24 hours a day by a hospitalist and a nurse practitioner as well as dedicated nurses and critical care technicians. Patients meeting observation status in the ED were eligible for the CDU provided that they fulfilled the CDU placement guidelines including that they were more likely than not to be discharged within a period of 24 hours of CDU care, did not meet inpatient admission criteria, did not require new placement in a rehabilitation or extended‐care facility, and did not require one‐on‐one monitoring. Additional exclusion criteria included severe vital sign or laboratory abnormalities. The overall strategy of the guidelines was to facilitate a pull culture, where the majority of observation patients were brought from the ED to the CDU once it was determined that they did not require inpatient care. The CDU had order sets and protocols in place for many of the common diagnoses. All CDU patients received priority laboratory and radiologic testing as well as priority consultation from specialty services. Medication reconciliation was performed by a pharmacy technician for higher‐risk patients, identified by Project BOOST (Better Outcomes by Optimizing Safe Transitions) criteria.[4] Structured multidisciplinary rounds occurred daily including the hospitalist, nurse practitioner, registered nurses, case manager, and pharmacy technician. A discharge planner was available to schedule follow‐up appointments.
Although chest pain was the most common CDU diagnosis, the CDU was designed to care for the majority of the hospital's observation patients rather than focus specifically on chest pain. Patients with chest pain who met observation criteria were transferred from the ED to the CDU, rather than a medicalsurgical unit, provided they did not have: positive cardiac enzymes, an electrocardiogram indicative of ischemia, known coronary artery disease presenting with pain consistent with acute coronary syndrome, need for heparin or nitroglycerin continuous infusion, symptomatic or unresolved arrhythmia, congestive heart failure meeting inpatient criteria, hypertensive urgency or emergency, pacemaker malfunction, pericarditis, or toxicity from cardiac drugs. Cardiologist consultants were involved in the care of nearly all CDU patients with chest pain.
Observation Status Determination
During the study period, observation status was recommended by a case manager in the ED based on Milliman (Milliman Care Guidelines) or McKesson InterQual (McKesson Corporation) criteria, once it was determined by the ED physician that the patient had failed usual ED care and required hospitalization. Observation status was assigned by the admitting (non‐ED) physician, who placed the order for inpatient admission or observation. Other than the implementation of the CDU, there were no significant changes to the process or criteria for assigning observation status, admission order sets, or the hospital's electronic medical record during this time period.
Statistical Analysis
Continuous data are presented as mean ( standard deviation [SD]) or median (25%75% interquartile range) as specified, and differences were assessed using one‐way analysis of variance testing and Mann‐Whitney U testing. Categorical data are presented as count (percentage) and differences evaluated using [2] analysis. P values of 0.05 or less were considered statistically significant.
To account for differences in groups with regard to outcomes, we performed a multivariate regression analysis. The following variables were entered: age (years), gender, race (African American vs other), admission diagnosis (chest pain vs other), and insurance status (Medicare vs other). All variables were entered simultaneously without forcing. Statistical analyses were done using the SPSS 20.0 Software (SPSS Inc., Chicago, IL).
RESULTS
Demographics
There were a total of 3735 patients included in the study: 1650 in the pre‐CDU group, 1469 in the post‐CDU group, and 616 in the post‐CDU group on medicalsurgical units. The post‐CDU period had a total of 2085 patients. Patients in the CDU group were younger and were more likely to have chest pain as the admission diagnosis. Patient demographics are presented in Table 1.
| Variable | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| Age, y [range] | 56 [4569] | 53 [4364] | 57 [44.370] | 0.001 | 0.751 | 0.001 |
| Female gender | 918 (55.6%) | 833(56.7%) | 328 (53.2%) | 0.563 | 0.319 | 0.148 |
| African American race | 574 (34.8%) | 505 (34.4%) | 174 (28.2%) | 0.821 | 0.004 | 0.007 |
| Admission diagnosis | ||||||
| Chest pain | 462 (38%) | 528 (35.9%) | 132 (21.4%) | 0.001 | 0.002 | 0.001 |
| Syncope | 93 (5.6%) | 56 (3.8%) | 15 (2.4%) | 0.018 | 0.001 | 0.145 |
| Abdominal pain | 46 (2.8%) | 49 (3.3%) | 20(3.2%) | 0.404 | 0.575 | 1.0 |
| Other | 1,049 (63.6%) | 836 (56.9%) | 449 (72.9%) | 0.001 | 0.001 | 0.001 |
| Third‐party payer | ||||||
| Medicare | 727 (44.1%) | 491 (33.4%) | 264(43.4%) | 0.001 | 0.634 | 0.001 |
| Charity care | 187 (11.3%) | 238 (16.2%) | 73 (11.9%) | 0.001 | 0.767 | 0.010 |
| Commercial | 185 (11.1%) | 214 (14.6%) | 87 (14.1%) | 0.005 | 0.059 | 0.838 |
| Medicaid | 292 (17.7%) | 280 (19.1%) | 100 (16.2%) | 0.331 | 0.454 | 0.136 |
| Other | 153 (9.3%) | 195 (13.3%) | 60 (9.9%) | 0.001 | 0.746 | 0.028 |
| Self‐pay | 106 (6.4%) | 51(3.5%) | 32 (5.2%) | 0.001 | 0.323 | 0.085 |
Outcomes of Interest
There was a statistically significant association between LOS and CDU implementation (Table 2). Observation patients cared for in the CDU had a lower LOS than observation patients cared for on the medicalsurgical units during the same time period (17.6 vs 26.1 hours, P0.0001).
| Outcome | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| All patients, n=3,735 | ||||||
| 30‐day ED or hospital revisit | 326 (19.8%) | 268 (18.2%) | 123 (17.2%) | 0.294 | 0.906 | 0.357 |
| Median LOS, h | 27.1 [17.446.4] | 17.6 [12.122.8] | 26.1 [16.941.2] | 0.001 | 0.004 | 0.001 |
| Chest‐pain patients, n=1,122 | ||||||
| 30‐day ED or hospital revisit | 69 (14.9%) | 82 (15.5%) | 23 (17.4%) | 0.859 | 0.496 | 0.596 |
| Median LOS, h | 22 [15.838.9] | 17.3 [10.922.4] | 23.2 [13.843.1] | 0.001 | 0.995 | 0.001 |
| Other diagnoses, n=2,613 | ||||||
| 30‐day ED or hospital revisit | 257 (21.6%) | 186 (19.8%) | 100 (18.4%) | 0.307 | 0.693 | 0.727 |
| Median LOS, h | 30.4 [18.649.4] | 17.8 [12.923] | 26.7 [17.231.1] | 0.001 | 0.001 | 0.001 |
In total, there were 717 total revisits including ED visits and hospital stays within 30 days of discharge (Table 2). Of all the observation encounters in the study, 19.2% were followed by a revisit within 30 days. There were no differences in the 30‐day post‐ED visit rates in between periods and between groups.
Mean ED LOS for hospitalized patients was examined for a sample of the pre‐ and post‐CDU periods, namely November 2010 to January 2011 and November 2011 to January 2012. The mean ED LOS decreased from 410 minutes (SD=61) to 393 minutes (SD=51) after implementation of the CDU (P=0.037).
To account for possible skewing of the data, we transformed LOS into ln (natural log) LOS and found the following means (SD): group 1 was 3.27 (0.94), group 2 was 2.78 (0.6), and group 3 was 3.1 (0.93). Using an independent t test, we found a significant difference between groups 1 and 2, 2 and 3, as well as 1 and 3 (P0.001 for all).
Chest‐Pain Subgroup Analysis
We analyzed the data specifically for the 1122 patients discharged with a diagnosis of chest pain. LOS was significantly lower for patients in the CDU compared to either pre‐CDU or observation on floors (Table 2).
Multivariate Regression Analysis
We performed a linear regression analysis using the following variables: age, race, gender, diagnosis, insurance status, and study period (pre‐CDU, post‐CDU, and postnon‐CDU). We performed 3 different comparisons: pre‐CDU vs post‐CDU, postnon‐CDU vs post‐CDU, and postnon‐CDU vs pre‐CDU. After adjusting for other variables, the postnon‐CDU group was significantly associated with higher LOS (P0.001). The pre‐CDU group was associated with higher LOS than both the post‐CDU and postnon‐CDU groups (P0.001 for both).
DISCUSSION
In our study of a hospitalist‐run CDU for observation patients, we observed that the care in the CDU was associated with a lower median LOS, but no increase in ED or hospital revisits within 30 days.
Previous studies have reported the impact of clinical observation or clinical diagnosis units, particularly chest‐pain units.[5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Studies of hospitalist‐run units suggest shorter LOS in the entire hospital,[16] or in the target unit.[17] Although one study suggested a lower 30‐day readmission rate,[18] most others did not describe this effect.[16, 17] Our study differs from previous research in that our program employed a pull‐culture aimed at accepting the majority of observation status patients without focusing on a particular diagnosis. We also implemented a structured multidisciplinary team focused on expediting care and utilized BOOST‐framed transitions, including targeted medication reconciliation and tools such as teach‐back.
The CDU in our hospital produced shorter LOS even compared to our non‐CDU units, but the revisit rate did not improve despite activities to reduce revisits. During the study period, efforts to decrease readmissions were implemented in various areas of our hospital, but not a comprehensive institution‐wide readmissions strategy. Lack of impact on revisits could be viewed as a positive finding, in that shorter LOS did not result in patients being discharged home before clinically stable. Alternatively, lack of impact could be due to the uncertain effectiveness of BOOST specifically[19, 20, 21] or inpatient‐targeted transitions interventions more generally.[22]
Our study has certain limitations. Findings in our single‐center study in an urban academic medical center may not apply to CDUs in other settings. As a prepost design, our study is subject to external trends for which our analyses may be unable to account. For example, during CDU implementation, there were hospital‐wide initiatives aimed at improving inpatient LOS, including complex case rounds, increased use of active bed management, and improved case management efforts to decrease LOS. These may have been a factor in the small decrease in observation LOS seen in the medicalsurgical patients during the post period. Additionally, though we have attempted to control for possible confounders, there could have been differences in the study groups for which we were unable to account, including code status or social variables such as homelessness, which played a role in our revisit outcomes. The decrease in LOS by 35%, or 9.5 hours, in CDU patients is clinically important, as it allows low‐risk patients to spend less time in the hospital where they may have been at risk of hospital‐acquired conditions; however, this study did not include patient satisfaction data. It would be important to measure the effect on patient experience of potentially spending 1 fewer night in the hospital. Finally, our CDU was designed with specific clinical criteria for inclusion and exclusion. Patients who were higher risk or expected to need more than 24 hours of care were not placed in the CDU. We were not able to adjust our analyses for factors that were not in our data, such as severe vital sign or laboratory abnormalities or a physician's clinical impression of a patient. It is possible, therefore, that referral bias may have occurred and influenced our results. The fact that non‐CDU chest‐pain patients in the post‐CDU period did not experience any decrease in LOS, whereas other medicalsurgical observation patients did, may be an example of this bias. Patients were excluded from the CDU by virtue of being deemed higher risk as described in Methods section. We were unable to adjust for these differences.
Implementation of CDUs may be useful for health systems seeking to improve hospital throughput and improve utilization among common but low‐acuity patient groups. Although our initial results are promising, the concept of a CDU may require enhancements. For example, at our hospital we are addressing transitions of care by looking at models that address patient risk through a systematic process, and then target individuals for specific interventions to prevent revisits. Moreover, the study of CDUs should report impact on patient and referring physician satisfaction, and whether CDUs can reduce per‐case costs.
CONCLUSION
Caring for patients in a hospitalist‐run geographic CDU was associated with a 35% decrease in observation LOS for CDU patients compared with a 3.7% decrease for observation patients cared for elsewhere in the hospital. CDU patients' LOS was significantly decreased without increasing ED or hospital revisit rates.
Acknowledgments
The authors would like to thank Ken Travis for excellent data support.
- The observation unit: an operational overview for the hospitalist. Society of Hospital Medicine website. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=White_Papers18(12):1371–1379.
- , , , , , . Use of observation care in US emergency departments, 2001 to 2008. PLoS One. 2011;6(9):e24326.
- The Society of Hospital Medicine Project Boost (Better Outcomes by Optimizing Safe Transitions) Available at: http://www.hospitalmedicine.org/boost. Accessed on June 4, 2013.
- , , , , . An emergency department‐based protocol for rapidly ruling out myocardial ischemia reduces hospital time and expense: results of a randomized study (ROMIO). J Am Coll Cardiol. 1996;28(1):25–33.
- , , , , , . Implementation of the guidelines for the management of patients with chest pain through a critical pathway approach improves length of stay and patient satisfaction but not anxiety. Crit Pathw Cardiol. 2010;9(1):30–34.
- , , , et al. Costs of an emergency department‐based accelerated diagnostic protocol vs hospitalization in patients with chest pain: a randomized controlled trial. JAMA. 1997;278(20):1670–1676.
- , , , et al. Emergency‐department diagnosis of acute myocardial infarction and ischemia: a cost analysis of two diagnostic protocols. Acad Emerg Med. 1994;1(2):103–110.
- , , , et al. Impact on the care of the emergency department chest pain patient from the chest pain evaluation registry (CHEPER) study. Am J Cardiol. 1997;80(5):563–568.
- , , , et al. Cost‐effectiveness of a new short‐stay unit to “rule out” acute myocardial infarction in low risk patients. J Am Coll Cardiol. 1994;24(5):1249–1259.
- , , , et al. Emergency Department Observation Unit versus hospital inpatient care for a chronic asthmatic population: a randomized trial of health status outcome and cost. Med Care. 1998;36(4):599–609.
- , , , et al. A comparison between emergency diagnostic and treatment unit and inpatient care in the management of acute asthma. Arch Intern Med. 1997;157(18):2055–2062.
- , , , . Retrospective review of emergency department patients with non‐variceal upper gastrointestinal hemorrhage for potential outpatient management. Acad Emerg Med. 1999;6(3):196–201.
- , . Outpatient care of selected patients with acute non‐variceal upper gastrointestinal haemorrhage. Lancet. 1995;345(8942):108–111.
- , , , , . Patterns of use of an emergency department‐based observation unit. Am J Ther. 2002;9(6):499–502.
- , , . Implementation of a hospitalist‐run observation unit and impact on length of stay (LOS): a brief report. J Hosp Med. 2010;5(9):E2–E5.
- , , , , . Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions. Acad Med. 2006;81(5):432–435.
- , , , . Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480.
- , , , et al. Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization. J Hosp Med. 2013;8:421–427.
- , , , et al. BOOST: evidence needing a lift. J Hosp Med. 2013;8:468–469.
- . BOOST and readmissions: thinking beyond the walls of the hospital. J Hosp Med. 2013;8:470–471.
- , , , et al. Hospital‐initiated transitional care interventions as a patient safety strategy. Ann Int Med. 2013;158:433–440.
Hospitalists play a crucial role in improving hospital throughput and length of stay (LOS). The clinical decision unit (CDU) or observation unit (OU) is a strategy that was developed to facilitate both aims. CDUs and OUs are units where patients can be managed in the hospital for up to 24 hours prior to a decision being made to admit or discharge. Observation care is provided to patients who require further treatment or monitoring beyond what is accomplished in the emergency department (ED), but who do not require inpatient admission. CDUs arose in the 1990s in response to a desire to decrease inpatient costs as well as changing Medicare guidelines, which recognized observation status. Initially, CDUs and OUs were located within the ED and run by emergency medicine physicians. However, at the turn of the 21st century, hospitalists became involved in observation medicine, and the Society of Hospital Medicine issued a white paper on the OU in 2007. [1] Today, up to 50% of CDUs and OUs nationally are managed by hospitalists and located physically outside of the ED.[2, 3]
Despite the fact that nearly half of all CDUs and OUs nationally are run by hospitalists, there has been little published regarding the impact of hospitalist‐driven units. This study demonstrates the effect of observation care delivered in a hospitalist‐run geographic CDU. The primary objective was to determine the impact on LOS for patients in observation status managed in a hospitalist‐run CDU compared with LOS for observation patients with the same diagnoses cared for on medicalsurgical units prior to the existence of the CDU. The secondary objective was to determine the effect on the 30‐day ED or hospital revisit rate, as well as ED LOS. This work will guide health systems, hospitalist groups, and physicians in their decision making regarding the future structure and process of CDUs.
METHODS
Study Design
The Cooper University Hospital institutional review board approved this study. The study took place at Cooper University Hospital, a large, urban, academic safety‐net hospital providing tertiary care located in Camden, New Jersey.
We performed a retrospective observational study of all adult observation encounters at the study hospital from July 2010 to January 2011, and July 2011 through January 2012. During the second time period, patients could have been managed in the CDU or on a medicalsurgical unit. We recorded the following demographic data: age, gender, race, principal diagnosis, and payer, as well as several outcomes of interest, including: LOS (defined as the time separating the admitting physician order from discharge), ED visits within 30 days of discharge, and hospital revisits (observation or inpatient) within 30 days.
Data Sources
Data were culled by the institution's performance improvement department from the electronic medical record, as well as cost accounting and claims‐based sources.
Clinical Decision Unit
The CDU at Cooper University Hospital opened in June 2011 and is a 20‐bed geographically distinct unit adjacent to the ED. During the study period, it was staffed 24 hours a day by a hospitalist and a nurse practitioner as well as dedicated nurses and critical care technicians. Patients meeting observation status in the ED were eligible for the CDU provided that they fulfilled the CDU placement guidelines including that they were more likely than not to be discharged within a period of 24 hours of CDU care, did not meet inpatient admission criteria, did not require new placement in a rehabilitation or extended‐care facility, and did not require one‐on‐one monitoring. Additional exclusion criteria included severe vital sign or laboratory abnormalities. The overall strategy of the guidelines was to facilitate a pull culture, where the majority of observation patients were brought from the ED to the CDU once it was determined that they did not require inpatient care. The CDU had order sets and protocols in place for many of the common diagnoses. All CDU patients received priority laboratory and radiologic testing as well as priority consultation from specialty services. Medication reconciliation was performed by a pharmacy technician for higher‐risk patients, identified by Project BOOST (Better Outcomes by Optimizing Safe Transitions) criteria.[4] Structured multidisciplinary rounds occurred daily including the hospitalist, nurse practitioner, registered nurses, case manager, and pharmacy technician. A discharge planner was available to schedule follow‐up appointments.
Although chest pain was the most common CDU diagnosis, the CDU was designed to care for the majority of the hospital's observation patients rather than focus specifically on chest pain. Patients with chest pain who met observation criteria were transferred from the ED to the CDU, rather than a medicalsurgical unit, provided they did not have: positive cardiac enzymes, an electrocardiogram indicative of ischemia, known coronary artery disease presenting with pain consistent with acute coronary syndrome, need for heparin or nitroglycerin continuous infusion, symptomatic or unresolved arrhythmia, congestive heart failure meeting inpatient criteria, hypertensive urgency or emergency, pacemaker malfunction, pericarditis, or toxicity from cardiac drugs. Cardiologist consultants were involved in the care of nearly all CDU patients with chest pain.
Observation Status Determination
During the study period, observation status was recommended by a case manager in the ED based on Milliman (Milliman Care Guidelines) or McKesson InterQual (McKesson Corporation) criteria, once it was determined by the ED physician that the patient had failed usual ED care and required hospitalization. Observation status was assigned by the admitting (non‐ED) physician, who placed the order for inpatient admission or observation. Other than the implementation of the CDU, there were no significant changes to the process or criteria for assigning observation status, admission order sets, or the hospital's electronic medical record during this time period.
Statistical Analysis
Continuous data are presented as mean ( standard deviation [SD]) or median (25%75% interquartile range) as specified, and differences were assessed using one‐way analysis of variance testing and Mann‐Whitney U testing. Categorical data are presented as count (percentage) and differences evaluated using [2] analysis. P values of 0.05 or less were considered statistically significant.
To account for differences in groups with regard to outcomes, we performed a multivariate regression analysis. The following variables were entered: age (years), gender, race (African American vs other), admission diagnosis (chest pain vs other), and insurance status (Medicare vs other). All variables were entered simultaneously without forcing. Statistical analyses were done using the SPSS 20.0 Software (SPSS Inc., Chicago, IL).
RESULTS
Demographics
There were a total of 3735 patients included in the study: 1650 in the pre‐CDU group, 1469 in the post‐CDU group, and 616 in the post‐CDU group on medicalsurgical units. The post‐CDU period had a total of 2085 patients. Patients in the CDU group were younger and were more likely to have chest pain as the admission diagnosis. Patient demographics are presented in Table 1.
| Variable | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| Age, y [range] | 56 [4569] | 53 [4364] | 57 [44.370] | 0.001 | 0.751 | 0.001 |
| Female gender | 918 (55.6%) | 833(56.7%) | 328 (53.2%) | 0.563 | 0.319 | 0.148 |
| African American race | 574 (34.8%) | 505 (34.4%) | 174 (28.2%) | 0.821 | 0.004 | 0.007 |
| Admission diagnosis | ||||||
| Chest pain | 462 (38%) | 528 (35.9%) | 132 (21.4%) | 0.001 | 0.002 | 0.001 |
| Syncope | 93 (5.6%) | 56 (3.8%) | 15 (2.4%) | 0.018 | 0.001 | 0.145 |
| Abdominal pain | 46 (2.8%) | 49 (3.3%) | 20(3.2%) | 0.404 | 0.575 | 1.0 |
| Other | 1,049 (63.6%) | 836 (56.9%) | 449 (72.9%) | 0.001 | 0.001 | 0.001 |
| Third‐party payer | ||||||
| Medicare | 727 (44.1%) | 491 (33.4%) | 264(43.4%) | 0.001 | 0.634 | 0.001 |
| Charity care | 187 (11.3%) | 238 (16.2%) | 73 (11.9%) | 0.001 | 0.767 | 0.010 |
| Commercial | 185 (11.1%) | 214 (14.6%) | 87 (14.1%) | 0.005 | 0.059 | 0.838 |
| Medicaid | 292 (17.7%) | 280 (19.1%) | 100 (16.2%) | 0.331 | 0.454 | 0.136 |
| Other | 153 (9.3%) | 195 (13.3%) | 60 (9.9%) | 0.001 | 0.746 | 0.028 |
| Self‐pay | 106 (6.4%) | 51(3.5%) | 32 (5.2%) | 0.001 | 0.323 | 0.085 |
Outcomes of Interest
There was a statistically significant association between LOS and CDU implementation (Table 2). Observation patients cared for in the CDU had a lower LOS than observation patients cared for on the medicalsurgical units during the same time period (17.6 vs 26.1 hours, P0.0001).
| Outcome | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| All patients, n=3,735 | ||||||
| 30‐day ED or hospital revisit | 326 (19.8%) | 268 (18.2%) | 123 (17.2%) | 0.294 | 0.906 | 0.357 |
| Median LOS, h | 27.1 [17.446.4] | 17.6 [12.122.8] | 26.1 [16.941.2] | 0.001 | 0.004 | 0.001 |
| Chest‐pain patients, n=1,122 | ||||||
| 30‐day ED or hospital revisit | 69 (14.9%) | 82 (15.5%) | 23 (17.4%) | 0.859 | 0.496 | 0.596 |
| Median LOS, h | 22 [15.838.9] | 17.3 [10.922.4] | 23.2 [13.843.1] | 0.001 | 0.995 | 0.001 |
| Other diagnoses, n=2,613 | ||||||
| 30‐day ED or hospital revisit | 257 (21.6%) | 186 (19.8%) | 100 (18.4%) | 0.307 | 0.693 | 0.727 |
| Median LOS, h | 30.4 [18.649.4] | 17.8 [12.923] | 26.7 [17.231.1] | 0.001 | 0.001 | 0.001 |
In total, there were 717 total revisits including ED visits and hospital stays within 30 days of discharge (Table 2). Of all the observation encounters in the study, 19.2% were followed by a revisit within 30 days. There were no differences in the 30‐day post‐ED visit rates in between periods and between groups.
Mean ED LOS for hospitalized patients was examined for a sample of the pre‐ and post‐CDU periods, namely November 2010 to January 2011 and November 2011 to January 2012. The mean ED LOS decreased from 410 minutes (SD=61) to 393 minutes (SD=51) after implementation of the CDU (P=0.037).
To account for possible skewing of the data, we transformed LOS into ln (natural log) LOS and found the following means (SD): group 1 was 3.27 (0.94), group 2 was 2.78 (0.6), and group 3 was 3.1 (0.93). Using an independent t test, we found a significant difference between groups 1 and 2, 2 and 3, as well as 1 and 3 (P0.001 for all).
Chest‐Pain Subgroup Analysis
We analyzed the data specifically for the 1122 patients discharged with a diagnosis of chest pain. LOS was significantly lower for patients in the CDU compared to either pre‐CDU or observation on floors (Table 2).
Multivariate Regression Analysis
We performed a linear regression analysis using the following variables: age, race, gender, diagnosis, insurance status, and study period (pre‐CDU, post‐CDU, and postnon‐CDU). We performed 3 different comparisons: pre‐CDU vs post‐CDU, postnon‐CDU vs post‐CDU, and postnon‐CDU vs pre‐CDU. After adjusting for other variables, the postnon‐CDU group was significantly associated with higher LOS (P0.001). The pre‐CDU group was associated with higher LOS than both the post‐CDU and postnon‐CDU groups (P0.001 for both).
DISCUSSION
In our study of a hospitalist‐run CDU for observation patients, we observed that the care in the CDU was associated with a lower median LOS, but no increase in ED or hospital revisits within 30 days.
Previous studies have reported the impact of clinical observation or clinical diagnosis units, particularly chest‐pain units.[5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Studies of hospitalist‐run units suggest shorter LOS in the entire hospital,[16] or in the target unit.[17] Although one study suggested a lower 30‐day readmission rate,[18] most others did not describe this effect.[16, 17] Our study differs from previous research in that our program employed a pull‐culture aimed at accepting the majority of observation status patients without focusing on a particular diagnosis. We also implemented a structured multidisciplinary team focused on expediting care and utilized BOOST‐framed transitions, including targeted medication reconciliation and tools such as teach‐back.
The CDU in our hospital produced shorter LOS even compared to our non‐CDU units, but the revisit rate did not improve despite activities to reduce revisits. During the study period, efforts to decrease readmissions were implemented in various areas of our hospital, but not a comprehensive institution‐wide readmissions strategy. Lack of impact on revisits could be viewed as a positive finding, in that shorter LOS did not result in patients being discharged home before clinically stable. Alternatively, lack of impact could be due to the uncertain effectiveness of BOOST specifically[19, 20, 21] or inpatient‐targeted transitions interventions more generally.[22]
Our study has certain limitations. Findings in our single‐center study in an urban academic medical center may not apply to CDUs in other settings. As a prepost design, our study is subject to external trends for which our analyses may be unable to account. For example, during CDU implementation, there were hospital‐wide initiatives aimed at improving inpatient LOS, including complex case rounds, increased use of active bed management, and improved case management efforts to decrease LOS. These may have been a factor in the small decrease in observation LOS seen in the medicalsurgical patients during the post period. Additionally, though we have attempted to control for possible confounders, there could have been differences in the study groups for which we were unable to account, including code status or social variables such as homelessness, which played a role in our revisit outcomes. The decrease in LOS by 35%, or 9.5 hours, in CDU patients is clinically important, as it allows low‐risk patients to spend less time in the hospital where they may have been at risk of hospital‐acquired conditions; however, this study did not include patient satisfaction data. It would be important to measure the effect on patient experience of potentially spending 1 fewer night in the hospital. Finally, our CDU was designed with specific clinical criteria for inclusion and exclusion. Patients who were higher risk or expected to need more than 24 hours of care were not placed in the CDU. We were not able to adjust our analyses for factors that were not in our data, such as severe vital sign or laboratory abnormalities or a physician's clinical impression of a patient. It is possible, therefore, that referral bias may have occurred and influenced our results. The fact that non‐CDU chest‐pain patients in the post‐CDU period did not experience any decrease in LOS, whereas other medicalsurgical observation patients did, may be an example of this bias. Patients were excluded from the CDU by virtue of being deemed higher risk as described in Methods section. We were unable to adjust for these differences.
Implementation of CDUs may be useful for health systems seeking to improve hospital throughput and improve utilization among common but low‐acuity patient groups. Although our initial results are promising, the concept of a CDU may require enhancements. For example, at our hospital we are addressing transitions of care by looking at models that address patient risk through a systematic process, and then target individuals for specific interventions to prevent revisits. Moreover, the study of CDUs should report impact on patient and referring physician satisfaction, and whether CDUs can reduce per‐case costs.
CONCLUSION
Caring for patients in a hospitalist‐run geographic CDU was associated with a 35% decrease in observation LOS for CDU patients compared with a 3.7% decrease for observation patients cared for elsewhere in the hospital. CDU patients' LOS was significantly decreased without increasing ED or hospital revisit rates.
Acknowledgments
The authors would like to thank Ken Travis for excellent data support.
Hospitalists play a crucial role in improving hospital throughput and length of stay (LOS). The clinical decision unit (CDU) or observation unit (OU) is a strategy that was developed to facilitate both aims. CDUs and OUs are units where patients can be managed in the hospital for up to 24 hours prior to a decision being made to admit or discharge. Observation care is provided to patients who require further treatment or monitoring beyond what is accomplished in the emergency department (ED), but who do not require inpatient admission. CDUs arose in the 1990s in response to a desire to decrease inpatient costs as well as changing Medicare guidelines, which recognized observation status. Initially, CDUs and OUs were located within the ED and run by emergency medicine physicians. However, at the turn of the 21st century, hospitalists became involved in observation medicine, and the Society of Hospital Medicine issued a white paper on the OU in 2007. [1] Today, up to 50% of CDUs and OUs nationally are managed by hospitalists and located physically outside of the ED.[2, 3]
Despite the fact that nearly half of all CDUs and OUs nationally are run by hospitalists, there has been little published regarding the impact of hospitalist‐driven units. This study demonstrates the effect of observation care delivered in a hospitalist‐run geographic CDU. The primary objective was to determine the impact on LOS for patients in observation status managed in a hospitalist‐run CDU compared with LOS for observation patients with the same diagnoses cared for on medicalsurgical units prior to the existence of the CDU. The secondary objective was to determine the effect on the 30‐day ED or hospital revisit rate, as well as ED LOS. This work will guide health systems, hospitalist groups, and physicians in their decision making regarding the future structure and process of CDUs.
METHODS
Study Design
The Cooper University Hospital institutional review board approved this study. The study took place at Cooper University Hospital, a large, urban, academic safety‐net hospital providing tertiary care located in Camden, New Jersey.
We performed a retrospective observational study of all adult observation encounters at the study hospital from July 2010 to January 2011, and July 2011 through January 2012. During the second time period, patients could have been managed in the CDU or on a medicalsurgical unit. We recorded the following demographic data: age, gender, race, principal diagnosis, and payer, as well as several outcomes of interest, including: LOS (defined as the time separating the admitting physician order from discharge), ED visits within 30 days of discharge, and hospital revisits (observation or inpatient) within 30 days.
Data Sources
Data were culled by the institution's performance improvement department from the electronic medical record, as well as cost accounting and claims‐based sources.
Clinical Decision Unit
The CDU at Cooper University Hospital opened in June 2011 and is a 20‐bed geographically distinct unit adjacent to the ED. During the study period, it was staffed 24 hours a day by a hospitalist and a nurse practitioner as well as dedicated nurses and critical care technicians. Patients meeting observation status in the ED were eligible for the CDU provided that they fulfilled the CDU placement guidelines including that they were more likely than not to be discharged within a period of 24 hours of CDU care, did not meet inpatient admission criteria, did not require new placement in a rehabilitation or extended‐care facility, and did not require one‐on‐one monitoring. Additional exclusion criteria included severe vital sign or laboratory abnormalities. The overall strategy of the guidelines was to facilitate a pull culture, where the majority of observation patients were brought from the ED to the CDU once it was determined that they did not require inpatient care. The CDU had order sets and protocols in place for many of the common diagnoses. All CDU patients received priority laboratory and radiologic testing as well as priority consultation from specialty services. Medication reconciliation was performed by a pharmacy technician for higher‐risk patients, identified by Project BOOST (Better Outcomes by Optimizing Safe Transitions) criteria.[4] Structured multidisciplinary rounds occurred daily including the hospitalist, nurse practitioner, registered nurses, case manager, and pharmacy technician. A discharge planner was available to schedule follow‐up appointments.
Although chest pain was the most common CDU diagnosis, the CDU was designed to care for the majority of the hospital's observation patients rather than focus specifically on chest pain. Patients with chest pain who met observation criteria were transferred from the ED to the CDU, rather than a medicalsurgical unit, provided they did not have: positive cardiac enzymes, an electrocardiogram indicative of ischemia, known coronary artery disease presenting with pain consistent with acute coronary syndrome, need for heparin or nitroglycerin continuous infusion, symptomatic or unresolved arrhythmia, congestive heart failure meeting inpatient criteria, hypertensive urgency or emergency, pacemaker malfunction, pericarditis, or toxicity from cardiac drugs. Cardiologist consultants were involved in the care of nearly all CDU patients with chest pain.
Observation Status Determination
During the study period, observation status was recommended by a case manager in the ED based on Milliman (Milliman Care Guidelines) or McKesson InterQual (McKesson Corporation) criteria, once it was determined by the ED physician that the patient had failed usual ED care and required hospitalization. Observation status was assigned by the admitting (non‐ED) physician, who placed the order for inpatient admission or observation. Other than the implementation of the CDU, there were no significant changes to the process or criteria for assigning observation status, admission order sets, or the hospital's electronic medical record during this time period.
Statistical Analysis
Continuous data are presented as mean ( standard deviation [SD]) or median (25%75% interquartile range) as specified, and differences were assessed using one‐way analysis of variance testing and Mann‐Whitney U testing. Categorical data are presented as count (percentage) and differences evaluated using [2] analysis. P values of 0.05 or less were considered statistically significant.
To account for differences in groups with regard to outcomes, we performed a multivariate regression analysis. The following variables were entered: age (years), gender, race (African American vs other), admission diagnosis (chest pain vs other), and insurance status (Medicare vs other). All variables were entered simultaneously without forcing. Statistical analyses were done using the SPSS 20.0 Software (SPSS Inc., Chicago, IL).
RESULTS
Demographics
There were a total of 3735 patients included in the study: 1650 in the pre‐CDU group, 1469 in the post‐CDU group, and 616 in the post‐CDU group on medicalsurgical units. The post‐CDU period had a total of 2085 patients. Patients in the CDU group were younger and were more likely to have chest pain as the admission diagnosis. Patient demographics are presented in Table 1.
| Variable | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| Age, y [range] | 56 [4569] | 53 [4364] | 57 [44.370] | 0.001 | 0.751 | 0.001 |
| Female gender | 918 (55.6%) | 833(56.7%) | 328 (53.2%) | 0.563 | 0.319 | 0.148 |
| African American race | 574 (34.8%) | 505 (34.4%) | 174 (28.2%) | 0.821 | 0.004 | 0.007 |
| Admission diagnosis | ||||||
| Chest pain | 462 (38%) | 528 (35.9%) | 132 (21.4%) | 0.001 | 0.002 | 0.001 |
| Syncope | 93 (5.6%) | 56 (3.8%) | 15 (2.4%) | 0.018 | 0.001 | 0.145 |
| Abdominal pain | 46 (2.8%) | 49 (3.3%) | 20(3.2%) | 0.404 | 0.575 | 1.0 |
| Other | 1,049 (63.6%) | 836 (56.9%) | 449 (72.9%) | 0.001 | 0.001 | 0.001 |
| Third‐party payer | ||||||
| Medicare | 727 (44.1%) | 491 (33.4%) | 264(43.4%) | 0.001 | 0.634 | 0.001 |
| Charity care | 187 (11.3%) | 238 (16.2%) | 73 (11.9%) | 0.001 | 0.767 | 0.010 |
| Commercial | 185 (11.1%) | 214 (14.6%) | 87 (14.1%) | 0.005 | 0.059 | 0.838 |
| Medicaid | 292 (17.7%) | 280 (19.1%) | 100 (16.2%) | 0.331 | 0.454 | 0.136 |
| Other | 153 (9.3%) | 195 (13.3%) | 60 (9.9%) | 0.001 | 0.746 | 0.028 |
| Self‐pay | 106 (6.4%) | 51(3.5%) | 32 (5.2%) | 0.001 | 0.323 | 0.085 |
Outcomes of Interest
There was a statistically significant association between LOS and CDU implementation (Table 2). Observation patients cared for in the CDU had a lower LOS than observation patients cared for on the medicalsurgical units during the same time period (17.6 vs 26.1 hours, P0.0001).
| Outcome | Pre‐CDU, n=1,650 | Post‐CDU, n=1,469 | PostNon‐CDU, n=616 | P, CDU vs Pre‐CDU | P, Non‐CDU vs Pre‐CDU | P, CDU vs Non‐CDU |
|---|---|---|---|---|---|---|
| ||||||
| All patients, n=3,735 | ||||||
| 30‐day ED or hospital revisit | 326 (19.8%) | 268 (18.2%) | 123 (17.2%) | 0.294 | 0.906 | 0.357 |
| Median LOS, h | 27.1 [17.446.4] | 17.6 [12.122.8] | 26.1 [16.941.2] | 0.001 | 0.004 | 0.001 |
| Chest‐pain patients, n=1,122 | ||||||
| 30‐day ED or hospital revisit | 69 (14.9%) | 82 (15.5%) | 23 (17.4%) | 0.859 | 0.496 | 0.596 |
| Median LOS, h | 22 [15.838.9] | 17.3 [10.922.4] | 23.2 [13.843.1] | 0.001 | 0.995 | 0.001 |
| Other diagnoses, n=2,613 | ||||||
| 30‐day ED or hospital revisit | 257 (21.6%) | 186 (19.8%) | 100 (18.4%) | 0.307 | 0.693 | 0.727 |
| Median LOS, h | 30.4 [18.649.4] | 17.8 [12.923] | 26.7 [17.231.1] | 0.001 | 0.001 | 0.001 |
In total, there were 717 total revisits including ED visits and hospital stays within 30 days of discharge (Table 2). Of all the observation encounters in the study, 19.2% were followed by a revisit within 30 days. There were no differences in the 30‐day post‐ED visit rates in between periods and between groups.
Mean ED LOS for hospitalized patients was examined for a sample of the pre‐ and post‐CDU periods, namely November 2010 to January 2011 and November 2011 to January 2012. The mean ED LOS decreased from 410 minutes (SD=61) to 393 minutes (SD=51) after implementation of the CDU (P=0.037).
To account for possible skewing of the data, we transformed LOS into ln (natural log) LOS and found the following means (SD): group 1 was 3.27 (0.94), group 2 was 2.78 (0.6), and group 3 was 3.1 (0.93). Using an independent t test, we found a significant difference between groups 1 and 2, 2 and 3, as well as 1 and 3 (P0.001 for all).
Chest‐Pain Subgroup Analysis
We analyzed the data specifically for the 1122 patients discharged with a diagnosis of chest pain. LOS was significantly lower for patients in the CDU compared to either pre‐CDU or observation on floors (Table 2).
Multivariate Regression Analysis
We performed a linear regression analysis using the following variables: age, race, gender, diagnosis, insurance status, and study period (pre‐CDU, post‐CDU, and postnon‐CDU). We performed 3 different comparisons: pre‐CDU vs post‐CDU, postnon‐CDU vs post‐CDU, and postnon‐CDU vs pre‐CDU. After adjusting for other variables, the postnon‐CDU group was significantly associated with higher LOS (P0.001). The pre‐CDU group was associated with higher LOS than both the post‐CDU and postnon‐CDU groups (P0.001 for both).
DISCUSSION
In our study of a hospitalist‐run CDU for observation patients, we observed that the care in the CDU was associated with a lower median LOS, but no increase in ED or hospital revisits within 30 days.
Previous studies have reported the impact of clinical observation or clinical diagnosis units, particularly chest‐pain units.[5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Studies of hospitalist‐run units suggest shorter LOS in the entire hospital,[16] or in the target unit.[17] Although one study suggested a lower 30‐day readmission rate,[18] most others did not describe this effect.[16, 17] Our study differs from previous research in that our program employed a pull‐culture aimed at accepting the majority of observation status patients without focusing on a particular diagnosis. We also implemented a structured multidisciplinary team focused on expediting care and utilized BOOST‐framed transitions, including targeted medication reconciliation and tools such as teach‐back.
The CDU in our hospital produced shorter LOS even compared to our non‐CDU units, but the revisit rate did not improve despite activities to reduce revisits. During the study period, efforts to decrease readmissions were implemented in various areas of our hospital, but not a comprehensive institution‐wide readmissions strategy. Lack of impact on revisits could be viewed as a positive finding, in that shorter LOS did not result in patients being discharged home before clinically stable. Alternatively, lack of impact could be due to the uncertain effectiveness of BOOST specifically[19, 20, 21] or inpatient‐targeted transitions interventions more generally.[22]
Our study has certain limitations. Findings in our single‐center study in an urban academic medical center may not apply to CDUs in other settings. As a prepost design, our study is subject to external trends for which our analyses may be unable to account. For example, during CDU implementation, there were hospital‐wide initiatives aimed at improving inpatient LOS, including complex case rounds, increased use of active bed management, and improved case management efforts to decrease LOS. These may have been a factor in the small decrease in observation LOS seen in the medicalsurgical patients during the post period. Additionally, though we have attempted to control for possible confounders, there could have been differences in the study groups for which we were unable to account, including code status or social variables such as homelessness, which played a role in our revisit outcomes. The decrease in LOS by 35%, or 9.5 hours, in CDU patients is clinically important, as it allows low‐risk patients to spend less time in the hospital where they may have been at risk of hospital‐acquired conditions; however, this study did not include patient satisfaction data. It would be important to measure the effect on patient experience of potentially spending 1 fewer night in the hospital. Finally, our CDU was designed with specific clinical criteria for inclusion and exclusion. Patients who were higher risk or expected to need more than 24 hours of care were not placed in the CDU. We were not able to adjust our analyses for factors that were not in our data, such as severe vital sign or laboratory abnormalities or a physician's clinical impression of a patient. It is possible, therefore, that referral bias may have occurred and influenced our results. The fact that non‐CDU chest‐pain patients in the post‐CDU period did not experience any decrease in LOS, whereas other medicalsurgical observation patients did, may be an example of this bias. Patients were excluded from the CDU by virtue of being deemed higher risk as described in Methods section. We were unable to adjust for these differences.
Implementation of CDUs may be useful for health systems seeking to improve hospital throughput and improve utilization among common but low‐acuity patient groups. Although our initial results are promising, the concept of a CDU may require enhancements. For example, at our hospital we are addressing transitions of care by looking at models that address patient risk through a systematic process, and then target individuals for specific interventions to prevent revisits. Moreover, the study of CDUs should report impact on patient and referring physician satisfaction, and whether CDUs can reduce per‐case costs.
CONCLUSION
Caring for patients in a hospitalist‐run geographic CDU was associated with a 35% decrease in observation LOS for CDU patients compared with a 3.7% decrease for observation patients cared for elsewhere in the hospital. CDU patients' LOS was significantly decreased without increasing ED or hospital revisit rates.
Acknowledgments
The authors would like to thank Ken Travis for excellent data support.
- The observation unit: an operational overview for the hospitalist. Society of Hospital Medicine website. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=White_Papers18(12):1371–1379.
- , , , , , . Use of observation care in US emergency departments, 2001 to 2008. PLoS One. 2011;6(9):e24326.
- The Society of Hospital Medicine Project Boost (Better Outcomes by Optimizing Safe Transitions) Available at: http://www.hospitalmedicine.org/boost. Accessed on June 4, 2013.
- , , , , . An emergency department‐based protocol for rapidly ruling out myocardial ischemia reduces hospital time and expense: results of a randomized study (ROMIO). J Am Coll Cardiol. 1996;28(1):25–33.
- , , , , , . Implementation of the guidelines for the management of patients with chest pain through a critical pathway approach improves length of stay and patient satisfaction but not anxiety. Crit Pathw Cardiol. 2010;9(1):30–34.
- , , , et al. Costs of an emergency department‐based accelerated diagnostic protocol vs hospitalization in patients with chest pain: a randomized controlled trial. JAMA. 1997;278(20):1670–1676.
- , , , et al. Emergency‐department diagnosis of acute myocardial infarction and ischemia: a cost analysis of two diagnostic protocols. Acad Emerg Med. 1994;1(2):103–110.
- , , , et al. Impact on the care of the emergency department chest pain patient from the chest pain evaluation registry (CHEPER) study. Am J Cardiol. 1997;80(5):563–568.
- , , , et al. Cost‐effectiveness of a new short‐stay unit to “rule out” acute myocardial infarction in low risk patients. J Am Coll Cardiol. 1994;24(5):1249–1259.
- , , , et al. Emergency Department Observation Unit versus hospital inpatient care for a chronic asthmatic population: a randomized trial of health status outcome and cost. Med Care. 1998;36(4):599–609.
- , , , et al. A comparison between emergency diagnostic and treatment unit and inpatient care in the management of acute asthma. Arch Intern Med. 1997;157(18):2055–2062.
- , , , . Retrospective review of emergency department patients with non‐variceal upper gastrointestinal hemorrhage for potential outpatient management. Acad Emerg Med. 1999;6(3):196–201.
- , . Outpatient care of selected patients with acute non‐variceal upper gastrointestinal haemorrhage. Lancet. 1995;345(8942):108–111.
- , , , , . Patterns of use of an emergency department‐based observation unit. Am J Ther. 2002;9(6):499–502.
- , , . Implementation of a hospitalist‐run observation unit and impact on length of stay (LOS): a brief report. J Hosp Med. 2010;5(9):E2–E5.
- , , , , . Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions. Acad Med. 2006;81(5):432–435.
- , , , . Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480.
- , , , et al. Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization. J Hosp Med. 2013;8:421–427.
- , , , et al. BOOST: evidence needing a lift. J Hosp Med. 2013;8:468–469.
- . BOOST and readmissions: thinking beyond the walls of the hospital. J Hosp Med. 2013;8:470–471.
- , , , et al. Hospital‐initiated transitional care interventions as a patient safety strategy. Ann Int Med. 2013;158:433–440.
- The observation unit: an operational overview for the hospitalist. Society of Hospital Medicine website. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=White_Papers18(12):1371–1379.
- , , , , , . Use of observation care in US emergency departments, 2001 to 2008. PLoS One. 2011;6(9):e24326.
- The Society of Hospital Medicine Project Boost (Better Outcomes by Optimizing Safe Transitions) Available at: http://www.hospitalmedicine.org/boost. Accessed on June 4, 2013.
- , , , , . An emergency department‐based protocol for rapidly ruling out myocardial ischemia reduces hospital time and expense: results of a randomized study (ROMIO). J Am Coll Cardiol. 1996;28(1):25–33.
- , , , , , . Implementation of the guidelines for the management of patients with chest pain through a critical pathway approach improves length of stay and patient satisfaction but not anxiety. Crit Pathw Cardiol. 2010;9(1):30–34.
- , , , et al. Costs of an emergency department‐based accelerated diagnostic protocol vs hospitalization in patients with chest pain: a randomized controlled trial. JAMA. 1997;278(20):1670–1676.
- , , , et al. Emergency‐department diagnosis of acute myocardial infarction and ischemia: a cost analysis of two diagnostic protocols. Acad Emerg Med. 1994;1(2):103–110.
- , , , et al. Impact on the care of the emergency department chest pain patient from the chest pain evaluation registry (CHEPER) study. Am J Cardiol. 1997;80(5):563–568.
- , , , et al. Cost‐effectiveness of a new short‐stay unit to “rule out” acute myocardial infarction in low risk patients. J Am Coll Cardiol. 1994;24(5):1249–1259.
- , , , et al. Emergency Department Observation Unit versus hospital inpatient care for a chronic asthmatic population: a randomized trial of health status outcome and cost. Med Care. 1998;36(4):599–609.
- , , , et al. A comparison between emergency diagnostic and treatment unit and inpatient care in the management of acute asthma. Arch Intern Med. 1997;157(18):2055–2062.
- , , , . Retrospective review of emergency department patients with non‐variceal upper gastrointestinal hemorrhage for potential outpatient management. Acad Emerg Med. 1999;6(3):196–201.
- , . Outpatient care of selected patients with acute non‐variceal upper gastrointestinal haemorrhage. Lancet. 1995;345(8942):108–111.
- , , , , . Patterns of use of an emergency department‐based observation unit. Am J Ther. 2002;9(6):499–502.
- , , . Implementation of a hospitalist‐run observation unit and impact on length of stay (LOS): a brief report. J Hosp Med. 2010;5(9):E2–E5.
- , , , , . Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions. Acad Med. 2006;81(5):432–435.
- , , , . Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480.
- , , , et al. Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization. J Hosp Med. 2013;8:421–427.
- , , , et al. BOOST: evidence needing a lift. J Hosp Med. 2013;8:468–469.
- . BOOST and readmissions: thinking beyond the walls of the hospital. J Hosp Med. 2013;8:470–471.
- , , , et al. Hospital‐initiated transitional care interventions as a patient safety strategy. Ann Int Med. 2013;158:433–440.
CDC Report Calls for Hospitalists to Focus on Antibiotic Stewardship
A Centers for Disease Control and Prevention (CDC) report this month on antibiotic stewardship highlights the need for continued attention and improvement around the topic, says a hospitalist who has studied the issue.
The CDC announcement, "Antibiotic Rx in Hospitals: Proceed with Caution," circulated in its monthly report, CDC Vital Signs, urged hospital leaders to adopt at least a basic stewardship program and "work with other healthcare facilities to prevent infections, transmission, and resistance."
David Rosenberg, MD, MPH, FACP, SFHM, chief of the division of hospital medicine at North Shore University Hospital's department of medicine in Manhasset, N.Y., says the alert can serve as a spotlight.
"While we all agree that this is an important topic, there's a certain amount of inertia around it," Dr. Rosenberg says. "When the CDC comes out with statements like this, it really helps drive this forward. It really should be viewed as a call to action."
The CDC alert highlights the variability of antibiotic use. It notes that doctors in some hospitals prescribed three times as many antibiotics as doctors at others. The disparity in treatment standards makes stewardship a broad issue to tackle, Dr. Rosenberg says.
"It's not a simple fix," he adds. "You have to do it one piece at a time. How are you going to manage urinary-tract infections? How are you going to manage pneumonias? How are you going to manage bloodstream infections? We want ultimately to integrate the approach into the day-to-day practice of hospitalists, but there's a lot of data you need in a very organized format to inform those decisions. Stewardship programs organize the information in a way that can influence and change practice."
Visit our website for more information on antibiotic stewardship.
A Centers for Disease Control and Prevention (CDC) report this month on antibiotic stewardship highlights the need for continued attention and improvement around the topic, says a hospitalist who has studied the issue.
The CDC announcement, "Antibiotic Rx in Hospitals: Proceed with Caution," circulated in its monthly report, CDC Vital Signs, urged hospital leaders to adopt at least a basic stewardship program and "work with other healthcare facilities to prevent infections, transmission, and resistance."
David Rosenberg, MD, MPH, FACP, SFHM, chief of the division of hospital medicine at North Shore University Hospital's department of medicine in Manhasset, N.Y., says the alert can serve as a spotlight.
"While we all agree that this is an important topic, there's a certain amount of inertia around it," Dr. Rosenberg says. "When the CDC comes out with statements like this, it really helps drive this forward. It really should be viewed as a call to action."
The CDC alert highlights the variability of antibiotic use. It notes that doctors in some hospitals prescribed three times as many antibiotics as doctors at others. The disparity in treatment standards makes stewardship a broad issue to tackle, Dr. Rosenberg says.
"It's not a simple fix," he adds. "You have to do it one piece at a time. How are you going to manage urinary-tract infections? How are you going to manage pneumonias? How are you going to manage bloodstream infections? We want ultimately to integrate the approach into the day-to-day practice of hospitalists, but there's a lot of data you need in a very organized format to inform those decisions. Stewardship programs organize the information in a way that can influence and change practice."
Visit our website for more information on antibiotic stewardship.
A Centers for Disease Control and Prevention (CDC) report this month on antibiotic stewardship highlights the need for continued attention and improvement around the topic, says a hospitalist who has studied the issue.
The CDC announcement, "Antibiotic Rx in Hospitals: Proceed with Caution," circulated in its monthly report, CDC Vital Signs, urged hospital leaders to adopt at least a basic stewardship program and "work with other healthcare facilities to prevent infections, transmission, and resistance."
David Rosenberg, MD, MPH, FACP, SFHM, chief of the division of hospital medicine at North Shore University Hospital's department of medicine in Manhasset, N.Y., says the alert can serve as a spotlight.
"While we all agree that this is an important topic, there's a certain amount of inertia around it," Dr. Rosenberg says. "When the CDC comes out with statements like this, it really helps drive this forward. It really should be viewed as a call to action."
The CDC alert highlights the variability of antibiotic use. It notes that doctors in some hospitals prescribed three times as many antibiotics as doctors at others. The disparity in treatment standards makes stewardship a broad issue to tackle, Dr. Rosenberg says.
"It's not a simple fix," he adds. "You have to do it one piece at a time. How are you going to manage urinary-tract infections? How are you going to manage pneumonias? How are you going to manage bloodstream infections? We want ultimately to integrate the approach into the day-to-day practice of hospitalists, but there's a lot of data you need in a very organized format to inform those decisions. Stewardship programs organize the information in a way that can influence and change practice."
Visit our website for more information on antibiotic stewardship.
ICU Pressure Improves Patient Transfers to the Hospital Floor
Clinical question: Does ICU strain negatively affect the outcomes of patients transferred to the floor?
Background: With healthcare costs increasing and critical care staff shortages projected, ICUs will have to operate under increasing strain. This may influence decisions on discharging patients from ICUs and could affect patient outcomes.
Study design: Retrospective cohort study.
Setting: One hundred fifty-five ICUs in the United States.
Synopsis: Using the Project IMPACT database, 200,730 adult patients from 107 different hospitals were evaluated in times of ICU strain, determined by the current census, new admissions, and acuity level. Outcomes measured were initial ICU length of stay (LOS), readmission within 72 hours, in-hospital mortality rates, and post-ICU discharge LOS.
Increases of the strain variables from the fifth to the 95th percentiles resulted in a 6.3-hour reduction in ICU LOS, a 2.0-hour decrease in post-ICU discharge LOS, and a 1.0% increase in probability of ICU readmission within 72 hours. Mortality rates during the hospital stay and odds of being discharged home showed no significant change. This study was limited because the ICUs participating were not randomly chosen, outcomes of patients transferred to other hospitals were not measured, and no post-hospital data was collected, so no long-term outcomes could be measured.
Bottom line: ICU bed pressures prompt physicians to allocate ICU resources more efficiently without changing short-term patient outcomes.
Citation: Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447-455.
Clinical question: Does ICU strain negatively affect the outcomes of patients transferred to the floor?
Background: With healthcare costs increasing and critical care staff shortages projected, ICUs will have to operate under increasing strain. This may influence decisions on discharging patients from ICUs and could affect patient outcomes.
Study design: Retrospective cohort study.
Setting: One hundred fifty-five ICUs in the United States.
Synopsis: Using the Project IMPACT database, 200,730 adult patients from 107 different hospitals were evaluated in times of ICU strain, determined by the current census, new admissions, and acuity level. Outcomes measured were initial ICU length of stay (LOS), readmission within 72 hours, in-hospital mortality rates, and post-ICU discharge LOS.
Increases of the strain variables from the fifth to the 95th percentiles resulted in a 6.3-hour reduction in ICU LOS, a 2.0-hour decrease in post-ICU discharge LOS, and a 1.0% increase in probability of ICU readmission within 72 hours. Mortality rates during the hospital stay and odds of being discharged home showed no significant change. This study was limited because the ICUs participating were not randomly chosen, outcomes of patients transferred to other hospitals were not measured, and no post-hospital data was collected, so no long-term outcomes could be measured.
Bottom line: ICU bed pressures prompt physicians to allocate ICU resources more efficiently without changing short-term patient outcomes.
Citation: Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447-455.
Clinical question: Does ICU strain negatively affect the outcomes of patients transferred to the floor?
Background: With healthcare costs increasing and critical care staff shortages projected, ICUs will have to operate under increasing strain. This may influence decisions on discharging patients from ICUs and could affect patient outcomes.
Study design: Retrospective cohort study.
Setting: One hundred fifty-five ICUs in the United States.
Synopsis: Using the Project IMPACT database, 200,730 adult patients from 107 different hospitals were evaluated in times of ICU strain, determined by the current census, new admissions, and acuity level. Outcomes measured were initial ICU length of stay (LOS), readmission within 72 hours, in-hospital mortality rates, and post-ICU discharge LOS.
Increases of the strain variables from the fifth to the 95th percentiles resulted in a 6.3-hour reduction in ICU LOS, a 2.0-hour decrease in post-ICU discharge LOS, and a 1.0% increase in probability of ICU readmission within 72 hours. Mortality rates during the hospital stay and odds of being discharged home showed no significant change. This study was limited because the ICUs participating were not randomly chosen, outcomes of patients transferred to other hospitals were not measured, and no post-hospital data was collected, so no long-term outcomes could be measured.
Bottom line: ICU bed pressures prompt physicians to allocate ICU resources more efficiently without changing short-term patient outcomes.
Citation: Wagner J, Gabler NB, Ratcliffe SJ, Brown SE, Strom BL, Halpern SD. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447-455.
Can coffee reduce weight?
Caffeine in the form of tea and coffee is the most widely consumed, socially acceptable stimulant around the globe. More than 150 million people in the United States drink coffee daily, with an average intake of 2 cups (which contains about 280 mg of caffeine).
Caffeine results in the release of excitatory neurotransmitters. Caffeine may increase energy expenditure and has been associated with reduced body mass. Studies have observed lower body mass index (BMI) in coffee consumers, compared with individuals who don’t consume coffee. Coffee may reduce appetite and dietary intake.
Greek researchers at Harokopio University, Athens, conducted a cross-over study to evaluate the effects of caffeinated coffee on appetite and dietary intake (Obesity 2013;21:1127-32). Sixteen normal-weight and 17 overweight/obese habitual coffee consumers (at least 1 cup of coffee/day) were enrolled. Each participant took part in three trials at least 1 week apart. Participants were required to abstain from caffeine for 24 hours and then reported to the lab to consume a breakfast and 200 mL of one of three experimental beverages: instant coffee with 3 mg caffeine/kg body weight (Coffee 3); instant coffee with 6 mg caffeine/kg (Coffee 6); or water. Participants had to consume the breakfast and the beverage within 5 minutes.
During a 3-hour period following beverage consumption, appetite feelings and participants’ dietary intake the day before the experiment were assessed. After this 3-hour period, participants were offered an ad libitum lunch buffet. The following day, participants reported by telephone their food and fluid intake for the rest of the experiment day.
Normal-weight participants consumed comparable energy in the ad libitum meal and in their total daily intake in the three interventions. However, among overweight/obese individuals, Coffee 6 resulted in significantly reduced energy intake during the ad libitum meal, compared with Coffee 3, and in significantly reduced total day energy intake, compared with both water and Coffee 3.
Doses used in this study for participants were somewhat staggering. The average caffeine content of the beverage in the Coffee 6 group was 526 mg. This is the caffeine content of roughly four 8-ounce cups of brewed coffee. The authors acknowledged that the Coffee 6 beverage was not easily consumed by "most of the volunteers."
We need to be cautious about the use of this dosing in the clinical setting. But as part of comprehensive weight-management strategy, caffeinated coffee may be helpful for reducing energy intake.
Dr. Ebbert is professor of medicine, a general internist at the Mayo Clinic in Rochester, Minn., and a diplomate of the American Board of Addiction Medicine. The opinions expressed are those of the author. He reports no conflicts of interest.
Caffeine in the form of tea and coffee is the most widely consumed, socially acceptable stimulant around the globe. More than 150 million people in the United States drink coffee daily, with an average intake of 2 cups (which contains about 280 mg of caffeine).
Caffeine results in the release of excitatory neurotransmitters. Caffeine may increase energy expenditure and has been associated with reduced body mass. Studies have observed lower body mass index (BMI) in coffee consumers, compared with individuals who don’t consume coffee. Coffee may reduce appetite and dietary intake.
Greek researchers at Harokopio University, Athens, conducted a cross-over study to evaluate the effects of caffeinated coffee on appetite and dietary intake (Obesity 2013;21:1127-32). Sixteen normal-weight and 17 overweight/obese habitual coffee consumers (at least 1 cup of coffee/day) were enrolled. Each participant took part in three trials at least 1 week apart. Participants were required to abstain from caffeine for 24 hours and then reported to the lab to consume a breakfast and 200 mL of one of three experimental beverages: instant coffee with 3 mg caffeine/kg body weight (Coffee 3); instant coffee with 6 mg caffeine/kg (Coffee 6); or water. Participants had to consume the breakfast and the beverage within 5 minutes.
During a 3-hour period following beverage consumption, appetite feelings and participants’ dietary intake the day before the experiment were assessed. After this 3-hour period, participants were offered an ad libitum lunch buffet. The following day, participants reported by telephone their food and fluid intake for the rest of the experiment day.
Normal-weight participants consumed comparable energy in the ad libitum meal and in their total daily intake in the three interventions. However, among overweight/obese individuals, Coffee 6 resulted in significantly reduced energy intake during the ad libitum meal, compared with Coffee 3, and in significantly reduced total day energy intake, compared with both water and Coffee 3.
Doses used in this study for participants were somewhat staggering. The average caffeine content of the beverage in the Coffee 6 group was 526 mg. This is the caffeine content of roughly four 8-ounce cups of brewed coffee. The authors acknowledged that the Coffee 6 beverage was not easily consumed by "most of the volunteers."
We need to be cautious about the use of this dosing in the clinical setting. But as part of comprehensive weight-management strategy, caffeinated coffee may be helpful for reducing energy intake.
Dr. Ebbert is professor of medicine, a general internist at the Mayo Clinic in Rochester, Minn., and a diplomate of the American Board of Addiction Medicine. The opinions expressed are those of the author. He reports no conflicts of interest.
Caffeine in the form of tea and coffee is the most widely consumed, socially acceptable stimulant around the globe. More than 150 million people in the United States drink coffee daily, with an average intake of 2 cups (which contains about 280 mg of caffeine).
Caffeine results in the release of excitatory neurotransmitters. Caffeine may increase energy expenditure and has been associated with reduced body mass. Studies have observed lower body mass index (BMI) in coffee consumers, compared with individuals who don’t consume coffee. Coffee may reduce appetite and dietary intake.
Greek researchers at Harokopio University, Athens, conducted a cross-over study to evaluate the effects of caffeinated coffee on appetite and dietary intake (Obesity 2013;21:1127-32). Sixteen normal-weight and 17 overweight/obese habitual coffee consumers (at least 1 cup of coffee/day) were enrolled. Each participant took part in three trials at least 1 week apart. Participants were required to abstain from caffeine for 24 hours and then reported to the lab to consume a breakfast and 200 mL of one of three experimental beverages: instant coffee with 3 mg caffeine/kg body weight (Coffee 3); instant coffee with 6 mg caffeine/kg (Coffee 6); or water. Participants had to consume the breakfast and the beverage within 5 minutes.
During a 3-hour period following beverage consumption, appetite feelings and participants’ dietary intake the day before the experiment were assessed. After this 3-hour period, participants were offered an ad libitum lunch buffet. The following day, participants reported by telephone their food and fluid intake for the rest of the experiment day.
Normal-weight participants consumed comparable energy in the ad libitum meal and in their total daily intake in the three interventions. However, among overweight/obese individuals, Coffee 6 resulted in significantly reduced energy intake during the ad libitum meal, compared with Coffee 3, and in significantly reduced total day energy intake, compared with both water and Coffee 3.
Doses used in this study for participants were somewhat staggering. The average caffeine content of the beverage in the Coffee 6 group was 526 mg. This is the caffeine content of roughly four 8-ounce cups of brewed coffee. The authors acknowledged that the Coffee 6 beverage was not easily consumed by "most of the volunteers."
We need to be cautious about the use of this dosing in the clinical setting. But as part of comprehensive weight-management strategy, caffeinated coffee may be helpful for reducing energy intake.
Dr. Ebbert is professor of medicine, a general internist at the Mayo Clinic in Rochester, Minn., and a diplomate of the American Board of Addiction Medicine. The opinions expressed are those of the author. He reports no conflicts of interest.
Legislating kindness
Late in February, I drove to Annapolis, Md., to listen to testimony being given to our state’s Senate Finance Committee on a number of proposed bills relating to involuntary treatments. But this article is not going to be about those bills or the fuss that played out around them, but rather about what happened when I arrived a bit early and heard testimony on another piece of legislation that had nothing to do with psychiatry and everything to do with being human.
Ten bills were scheduled for public testimony that afternoon, and I arrived shortly after 1 p.m. to a hearing room in which there was standing room only. There are 11 members of the Senate Finance Committee; 10 were present, and I’m going to guess there were more than100 people in the room waiting to testify. The only other time I had gone to listen to public testimony was last year for Gov. Martin O’Malley’s Firearm Safety Act, and for that piece of legislation, 1,300 people were there to testify, the large majority of them being Second Amendment activists who were there to oppose the bill.
The legislation in question (the one I did not come to hear about) was Senate Bill 654. The description of that bill reads:
"This bill requires the Department of Health and Mental Hygiene to identify up-to-date, evidence-based, written information about Down syndrome. This information must be provided to health care facilities and providers, who must provide the information to expectant parents who receive a prenatal test result for Down syndrome and parents of a child diagnosed with Down syndrome."
My first thought was this is a standard of care issue, something to be addressed by the specialties involved, not something that should be the subject of legislation. We don’t really want to have condition-specific laws mandating what physicians must tell their patients, do we? Where would it stop: Would legislation be written for every disorder? Shouldn’t the clinician who knows the family determine what information is best for each individual and with what timing? Never mind the nuance of figuring out exactly what is "up to date" and what is not. And it’s not as though the parents couldn’t search for the information themselves – certainly there must be resources online.
Then the testimony began. There were women whose children had been diagnosed, generally in utero, before the time when one could Google the condition and search for available resources. They told stories of asking for resources, only to be told that their clinicians didn’t know of any. And they told stories of being counseled to abort after they wanted to continue with the pregnancy. They discussed how shocked and alone they felt, and how insensitive the care they received was. In addition, they talked about the value their children added to the world. And then the adult children with Down syndrome also testified. In a way, I felt like it was testimony for the rights of these people to be here, more so perhaps than testimony to require clinicians to give out the appropriate pamphlets.
Representatives from MedChi (the Maryland State Medical Society) and the Department of Health and Mental Hygiene also testified. While neither was opposed to the creation of lists and websites of resources and educational information, they did object to the mandate that the clinician must give the information at a specific time. What if the clinician felt it was not in that patient’s best interest to distribute the information to a specific patient or at a specific time? Perhaps it wasn’t there, but I heard the unspoken concern that the clinician might be subject to sanctions or accusations of malpractice if they neglected to distribute the information as required by law if the legislation passed. The Down syndrome information supporters said they had already gone office to office to provide pamphlets and information to clinicians, which were then placed in a drawer and not distributed. They objected to language that would change "must" to "may" with the idea that it wasn’t strong enough to move clinicians to action.
Another bill also caught my attention this year, although I was not present for any public testimony. Delegate Robert A. Costa proposed House Bill 279, legislation that would forbid a physician from charging or filing an insurance claim for any appointment that began more than 30 minutes from the scheduled time. The legislation did allow for an exclusion for emergencies, if the doctor presented an "emergency services verification number" to the patient, but it did not take into account that an appointment might start late because the patient was late!
Regardless of whether the legislation proposed by these two bills makes sense as something for lawmakers to address, and regardless of how practical they are in terms of both their intended and unintended consequences, the message of such legislation is clear: They represent distress at insensitive care and an attempt to legislate kindness. The message comes through that clinicians can’t be trusted to do what’s right, and laws must be passed to make sure they practice in a thoughtful and considerate manner. It would be nice to have some reasonable conclusion about how to rectify these situations without having legislators tell medical professionals how to practice. I don’t have an answer here, but I believe that passing more laws will create its own negative fallout, and we need to find a better route to kindness.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: the Johns Hopkins University Press, 2011).
Late in February, I drove to Annapolis, Md., to listen to testimony being given to our state’s Senate Finance Committee on a number of proposed bills relating to involuntary treatments. But this article is not going to be about those bills or the fuss that played out around them, but rather about what happened when I arrived a bit early and heard testimony on another piece of legislation that had nothing to do with psychiatry and everything to do with being human.
Ten bills were scheduled for public testimony that afternoon, and I arrived shortly after 1 p.m. to a hearing room in which there was standing room only. There are 11 members of the Senate Finance Committee; 10 were present, and I’m going to guess there were more than100 people in the room waiting to testify. The only other time I had gone to listen to public testimony was last year for Gov. Martin O’Malley’s Firearm Safety Act, and for that piece of legislation, 1,300 people were there to testify, the large majority of them being Second Amendment activists who were there to oppose the bill.
The legislation in question (the one I did not come to hear about) was Senate Bill 654. The description of that bill reads:
"This bill requires the Department of Health and Mental Hygiene to identify up-to-date, evidence-based, written information about Down syndrome. This information must be provided to health care facilities and providers, who must provide the information to expectant parents who receive a prenatal test result for Down syndrome and parents of a child diagnosed with Down syndrome."
My first thought was this is a standard of care issue, something to be addressed by the specialties involved, not something that should be the subject of legislation. We don’t really want to have condition-specific laws mandating what physicians must tell their patients, do we? Where would it stop: Would legislation be written for every disorder? Shouldn’t the clinician who knows the family determine what information is best for each individual and with what timing? Never mind the nuance of figuring out exactly what is "up to date" and what is not. And it’s not as though the parents couldn’t search for the information themselves – certainly there must be resources online.
Then the testimony began. There were women whose children had been diagnosed, generally in utero, before the time when one could Google the condition and search for available resources. They told stories of asking for resources, only to be told that their clinicians didn’t know of any. And they told stories of being counseled to abort after they wanted to continue with the pregnancy. They discussed how shocked and alone they felt, and how insensitive the care they received was. In addition, they talked about the value their children added to the world. And then the adult children with Down syndrome also testified. In a way, I felt like it was testimony for the rights of these people to be here, more so perhaps than testimony to require clinicians to give out the appropriate pamphlets.
Representatives from MedChi (the Maryland State Medical Society) and the Department of Health and Mental Hygiene also testified. While neither was opposed to the creation of lists and websites of resources and educational information, they did object to the mandate that the clinician must give the information at a specific time. What if the clinician felt it was not in that patient’s best interest to distribute the information to a specific patient or at a specific time? Perhaps it wasn’t there, but I heard the unspoken concern that the clinician might be subject to sanctions or accusations of malpractice if they neglected to distribute the information as required by law if the legislation passed. The Down syndrome information supporters said they had already gone office to office to provide pamphlets and information to clinicians, which were then placed in a drawer and not distributed. They objected to language that would change "must" to "may" with the idea that it wasn’t strong enough to move clinicians to action.
Another bill also caught my attention this year, although I was not present for any public testimony. Delegate Robert A. Costa proposed House Bill 279, legislation that would forbid a physician from charging or filing an insurance claim for any appointment that began more than 30 minutes from the scheduled time. The legislation did allow for an exclusion for emergencies, if the doctor presented an "emergency services verification number" to the patient, but it did not take into account that an appointment might start late because the patient was late!
Regardless of whether the legislation proposed by these two bills makes sense as something for lawmakers to address, and regardless of how practical they are in terms of both their intended and unintended consequences, the message of such legislation is clear: They represent distress at insensitive care and an attempt to legislate kindness. The message comes through that clinicians can’t be trusted to do what’s right, and laws must be passed to make sure they practice in a thoughtful and considerate manner. It would be nice to have some reasonable conclusion about how to rectify these situations without having legislators tell medical professionals how to practice. I don’t have an answer here, but I believe that passing more laws will create its own negative fallout, and we need to find a better route to kindness.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: the Johns Hopkins University Press, 2011).
Late in February, I drove to Annapolis, Md., to listen to testimony being given to our state’s Senate Finance Committee on a number of proposed bills relating to involuntary treatments. But this article is not going to be about those bills or the fuss that played out around them, but rather about what happened when I arrived a bit early and heard testimony on another piece of legislation that had nothing to do with psychiatry and everything to do with being human.
Ten bills were scheduled for public testimony that afternoon, and I arrived shortly after 1 p.m. to a hearing room in which there was standing room only. There are 11 members of the Senate Finance Committee; 10 were present, and I’m going to guess there were more than100 people in the room waiting to testify. The only other time I had gone to listen to public testimony was last year for Gov. Martin O’Malley’s Firearm Safety Act, and for that piece of legislation, 1,300 people were there to testify, the large majority of them being Second Amendment activists who were there to oppose the bill.
The legislation in question (the one I did not come to hear about) was Senate Bill 654. The description of that bill reads:
"This bill requires the Department of Health and Mental Hygiene to identify up-to-date, evidence-based, written information about Down syndrome. This information must be provided to health care facilities and providers, who must provide the information to expectant parents who receive a prenatal test result for Down syndrome and parents of a child diagnosed with Down syndrome."
My first thought was this is a standard of care issue, something to be addressed by the specialties involved, not something that should be the subject of legislation. We don’t really want to have condition-specific laws mandating what physicians must tell their patients, do we? Where would it stop: Would legislation be written for every disorder? Shouldn’t the clinician who knows the family determine what information is best for each individual and with what timing? Never mind the nuance of figuring out exactly what is "up to date" and what is not. And it’s not as though the parents couldn’t search for the information themselves – certainly there must be resources online.
Then the testimony began. There were women whose children had been diagnosed, generally in utero, before the time when one could Google the condition and search for available resources. They told stories of asking for resources, only to be told that their clinicians didn’t know of any. And they told stories of being counseled to abort after they wanted to continue with the pregnancy. They discussed how shocked and alone they felt, and how insensitive the care they received was. In addition, they talked about the value their children added to the world. And then the adult children with Down syndrome also testified. In a way, I felt like it was testimony for the rights of these people to be here, more so perhaps than testimony to require clinicians to give out the appropriate pamphlets.
Representatives from MedChi (the Maryland State Medical Society) and the Department of Health and Mental Hygiene also testified. While neither was opposed to the creation of lists and websites of resources and educational information, they did object to the mandate that the clinician must give the information at a specific time. What if the clinician felt it was not in that patient’s best interest to distribute the information to a specific patient or at a specific time? Perhaps it wasn’t there, but I heard the unspoken concern that the clinician might be subject to sanctions or accusations of malpractice if they neglected to distribute the information as required by law if the legislation passed. The Down syndrome information supporters said they had already gone office to office to provide pamphlets and information to clinicians, which were then placed in a drawer and not distributed. They objected to language that would change "must" to "may" with the idea that it wasn’t strong enough to move clinicians to action.
Another bill also caught my attention this year, although I was not present for any public testimony. Delegate Robert A. Costa proposed House Bill 279, legislation that would forbid a physician from charging or filing an insurance claim for any appointment that began more than 30 minutes from the scheduled time. The legislation did allow for an exclusion for emergencies, if the doctor presented an "emergency services verification number" to the patient, but it did not take into account that an appointment might start late because the patient was late!
Regardless of whether the legislation proposed by these two bills makes sense as something for lawmakers to address, and regardless of how practical they are in terms of both their intended and unintended consequences, the message of such legislation is clear: They represent distress at insensitive care and an attempt to legislate kindness. The message comes through that clinicians can’t be trusted to do what’s right, and laws must be passed to make sure they practice in a thoughtful and considerate manner. It would be nice to have some reasonable conclusion about how to rectify these situations without having legislators tell medical professionals how to practice. I don’t have an answer here, but I believe that passing more laws will create its own negative fallout, and we need to find a better route to kindness.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: the Johns Hopkins University Press, 2011).
IHS Takes Aim at HIV
In 2010, American Indians and Alaska Natives (AIANs) accounted for < 1% of the estimated 47,500 new cases of human immunodeficiency virus (HIV) infection in the U.S. However, that proportion is misleading. When population size is taken into account for 2011, AIANs ranked fifth in rates of HIV/AIDS (acquired immunodeficiency syndrome) diagnoses. And the rate of AIDS diagnosis for this group has been higher than that for whites since 1995, according to the Centers for Disease Control and Prevention (CDC).
Also, AIANs diagnosed with HIV/AIDS die sooner: Between 2003 and 2007, only 81% lived longer than 36 months after being diagnosed. In 2010, HIV infection was the ninth leading cause of death among AIAN men and women aged 25 to 34 years.
Race and ethnicity are not, by themselves, risk factors for HIV infection, the CDC says. American Indian and Alaska Natives also have high rates of Chlamydia trachomatis infection, gonorrhea, and syphilis—sexually transmitted diseases are a warning signal of contracting or spreading HIV. Substance abuse is another risk factor: Current illicit drug use is higher among AIANs (12.8%) than in other races or ethnicities.
Lack of access to appropriate health care is another crucial factor, especially in the extremely poor AIAN communities, where between 2002 and 2004 about twice the national average was living in poverty. An estimated 1 in 5 AIAN adults living with HIV/AIDS at the end of 2009 were unaware of their infection. And while 75% of those who found out they were living with HIV in 2010 were linked to medical care within 3 months, this was the lowest proportion of any group surveyed.
Effective prevention interventions, the CDC says, must be tailored to the population. But the AIAN population comprises 562 federally recognized tribes and at least 50 state-recognized tribes, with different culture, beliefs, practices, and languages. Further, at the time of AIDS diagnosis, more AIANs lived in rural areas and may have been less likely to be tested for HIV because of limited access to testing. They also may have been less likely to seek testing because of concerns of confidentiality in a small and close-knit community. More than half of AIANs who responded to the Behavioral Risk Factor Surveillance System survey during 1997-2000 said they had never been tested for HIV.
The Indian Health Service (IHS) created a video to promote testing, “Facing HIV/AIDS in Native Communities,” available at http://www.ihs.gov/hivaids. Promotional materials include radio public service announcements, and training kits. Information on reaching out through social media and other emerging technology can be found at http://www.aids.gov/using-new-media.
“We have shown the positive impact of focused HIV/AIDS screening, education, treatment, and prevention in a group of IHS facilities,” says IHS Chief Clinical Consultant for Infectious Diseases Dr. Jonathan Iralu. “Now is the time to offer the opportunity to have an ‘AIDS Free Generation’ to all American Indian and Alaska Native communities that we serve.”
In 2010, American Indians and Alaska Natives (AIANs) accounted for < 1% of the estimated 47,500 new cases of human immunodeficiency virus (HIV) infection in the U.S. However, that proportion is misleading. When population size is taken into account for 2011, AIANs ranked fifth in rates of HIV/AIDS (acquired immunodeficiency syndrome) diagnoses. And the rate of AIDS diagnosis for this group has been higher than that for whites since 1995, according to the Centers for Disease Control and Prevention (CDC).
Also, AIANs diagnosed with HIV/AIDS die sooner: Between 2003 and 2007, only 81% lived longer than 36 months after being diagnosed. In 2010, HIV infection was the ninth leading cause of death among AIAN men and women aged 25 to 34 years.
Race and ethnicity are not, by themselves, risk factors for HIV infection, the CDC says. American Indian and Alaska Natives also have high rates of Chlamydia trachomatis infection, gonorrhea, and syphilis—sexually transmitted diseases are a warning signal of contracting or spreading HIV. Substance abuse is another risk factor: Current illicit drug use is higher among AIANs (12.8%) than in other races or ethnicities.
Lack of access to appropriate health care is another crucial factor, especially in the extremely poor AIAN communities, where between 2002 and 2004 about twice the national average was living in poverty. An estimated 1 in 5 AIAN adults living with HIV/AIDS at the end of 2009 were unaware of their infection. And while 75% of those who found out they were living with HIV in 2010 were linked to medical care within 3 months, this was the lowest proportion of any group surveyed.
Effective prevention interventions, the CDC says, must be tailored to the population. But the AIAN population comprises 562 federally recognized tribes and at least 50 state-recognized tribes, with different culture, beliefs, practices, and languages. Further, at the time of AIDS diagnosis, more AIANs lived in rural areas and may have been less likely to be tested for HIV because of limited access to testing. They also may have been less likely to seek testing because of concerns of confidentiality in a small and close-knit community. More than half of AIANs who responded to the Behavioral Risk Factor Surveillance System survey during 1997-2000 said they had never been tested for HIV.
The Indian Health Service (IHS) created a video to promote testing, “Facing HIV/AIDS in Native Communities,” available at http://www.ihs.gov/hivaids. Promotional materials include radio public service announcements, and training kits. Information on reaching out through social media and other emerging technology can be found at http://www.aids.gov/using-new-media.
“We have shown the positive impact of focused HIV/AIDS screening, education, treatment, and prevention in a group of IHS facilities,” says IHS Chief Clinical Consultant for Infectious Diseases Dr. Jonathan Iralu. “Now is the time to offer the opportunity to have an ‘AIDS Free Generation’ to all American Indian and Alaska Native communities that we serve.”
In 2010, American Indians and Alaska Natives (AIANs) accounted for < 1% of the estimated 47,500 new cases of human immunodeficiency virus (HIV) infection in the U.S. However, that proportion is misleading. When population size is taken into account for 2011, AIANs ranked fifth in rates of HIV/AIDS (acquired immunodeficiency syndrome) diagnoses. And the rate of AIDS diagnosis for this group has been higher than that for whites since 1995, according to the Centers for Disease Control and Prevention (CDC).
Also, AIANs diagnosed with HIV/AIDS die sooner: Between 2003 and 2007, only 81% lived longer than 36 months after being diagnosed. In 2010, HIV infection was the ninth leading cause of death among AIAN men and women aged 25 to 34 years.
Race and ethnicity are not, by themselves, risk factors for HIV infection, the CDC says. American Indian and Alaska Natives also have high rates of Chlamydia trachomatis infection, gonorrhea, and syphilis—sexually transmitted diseases are a warning signal of contracting or spreading HIV. Substance abuse is another risk factor: Current illicit drug use is higher among AIANs (12.8%) than in other races or ethnicities.
Lack of access to appropriate health care is another crucial factor, especially in the extremely poor AIAN communities, where between 2002 and 2004 about twice the national average was living in poverty. An estimated 1 in 5 AIAN adults living with HIV/AIDS at the end of 2009 were unaware of their infection. And while 75% of those who found out they were living with HIV in 2010 were linked to medical care within 3 months, this was the lowest proportion of any group surveyed.
Effective prevention interventions, the CDC says, must be tailored to the population. But the AIAN population comprises 562 federally recognized tribes and at least 50 state-recognized tribes, with different culture, beliefs, practices, and languages. Further, at the time of AIDS diagnosis, more AIANs lived in rural areas and may have been less likely to be tested for HIV because of limited access to testing. They also may have been less likely to seek testing because of concerns of confidentiality in a small and close-knit community. More than half of AIANs who responded to the Behavioral Risk Factor Surveillance System survey during 1997-2000 said they had never been tested for HIV.
The Indian Health Service (IHS) created a video to promote testing, “Facing HIV/AIDS in Native Communities,” available at http://www.ihs.gov/hivaids. Promotional materials include radio public service announcements, and training kits. Information on reaching out through social media and other emerging technology can be found at http://www.aids.gov/using-new-media.
“We have shown the positive impact of focused HIV/AIDS screening, education, treatment, and prevention in a group of IHS facilities,” says IHS Chief Clinical Consultant for Infectious Diseases Dr. Jonathan Iralu. “Now is the time to offer the opportunity to have an ‘AIDS Free Generation’ to all American Indian and Alaska Native communities that we serve.”
Electronics workers may have elevated risk of death from NHL
Researchers have found evidence suggesting that men who work in microelectronics and business machine facilities may have an increased risk of dying from certain cancers, including non-Hodgkin lymphoma (NHL).
Their study, published in the American Journal of Industrial Medicine, was designed to assess the effects chemical exposure might have on the incidence of diseases and worker mortality.
The results showed that hourly male workers, who were more likely than other employees to be exposed to the chemicals studied, had a 1.5-fold increased risk of death from NHL.
However, the investigators did not observe a significant relationship between NHL and any of the chemicals studied.
This research originated from concerns about the release of trichloroethylene (TCE), perchlorethylene (PCE), and other industrial chemicals through groundwater and air emissions from several industrial facilities in a town in upstate New York.
Previous studies suggested the chemicals were associated with increases in the incidence of kidney, lung, and testicular cancer in the community. So researchers initiated a study of current and former workers of the local microelectronics and business machine facility.
Patient population
Sharon R. Silver, of the National Institute for Occupational Safety and Health in Cincinnati, Ohio, and her colleagues examined health outcomes among 34,494 former workers employed at the facility for at least 91 days between 1969 and 2001.
Machining workers were exposed to dust, noise, solvents, and metals. And “wet” process workers were exposed to chemical solutions used in manufacturing circuit boards and their substrates. The facility also had employees in non-production roles, including sales and office support, as well as computer programming.
The researchers evaluated the relationship between health outcomes and the estimated cumulative extent of potential chemical exposures, stratified according to gender and pay code.
Of the 34,494 workers, 69.7% were male. Among males, 15,447 were hourly workers, and 8590 were salaried. Among females, 8934 were hourly workers, and 1523 were salaried.
Chemical exposure
A previous study of this population revealed the use of 6 chemical agents (fiberglass, lead, methylene chloride, methyl chloroform, PCE, and TCE), 6 chemical classes (acid-base, aromatic hydrocarbons, chlorinated hydrocarbons, other hydrocarbons, chlorofluorocarbons, and metals), and general chemicals (including unspecified).
The potential for exposure to a chemical agent or class was much more common among hourly workers than salaried workers. Among males, 65.7% of hourly workers and 20% of salaried workers were exposed to at least 1 of the chemicals studied. Among females, exposure rates were 58.5% and 13.9%, respectively.
“Other hydrocarbons” was the chemical class that male hourly workers were potentially exposed to most often (60.5%). At least one-third of workers in this group had potential exposure to chlorinated hydrocarbons, lead, and acids and bases. TCE and PCE were the least common exposure agents among male hourly workers, with 13.9% and 15.1% exposed, respectively.
Cancer mortality, incidence
The investigators used mortality rates from the US population, as well as New York State (excluding New York City), to calculate the number of expected deaths among study participants. The standardized mortality ratio (SMR) is the ratio of observed to expected deaths.
The average follow-up was 25.7 years. By the study end date, 5966 workers (17.3%) had died. Workers employed less than a year at the facility (n=8397) comprised 363 of these deaths.
Both all-cause mortality (SMR=0.67) and all-cancer mortality (SMR=0.74) showed a statistically significant deficit for the entire workforce. Most of the individual cancers and other conditions studied were not associated with an increased risk of death.
There were significant increases in death for certain cancers among males, but there was no significant increase in a specific cause of death among females belonging to either pay code.
There was an increased risk of death from NHL among male hourly workers but not salaried workers, with SMRs of 1.49 and 0.68, respectively. The same pattern occurred for rectal cancer, with SMRs of 1.71 and 0.71, respectively.
The study also revealed an elevated incidence of pleural cancers in salaried males, mesothelioma in hourly workers, and testicular cancer in salaried males.
The increase in mesothelioma and pleural cancers was seen only in workers hired before 1969, which would support a link between the cancers and asbestos exposure. However, the researchers could find no evidence that asbestos was used in manufacturing at the facility.
Similarly, the investigators found no significant link between exposure to specific chemicals and the increased mortality from NHL or rectal cancer. And there was no significant link between exposure and testicular cancer.
Although these results do not suggest a strong role for occupational chemical exposures in cancer incidence and mortality, the researchers said risks from occupational exposures cannot be ruled out due to limitations of this study and the relative youth of this patient cohort.
Researchers have found evidence suggesting that men who work in microelectronics and business machine facilities may have an increased risk of dying from certain cancers, including non-Hodgkin lymphoma (NHL).
Their study, published in the American Journal of Industrial Medicine, was designed to assess the effects chemical exposure might have on the incidence of diseases and worker mortality.
The results showed that hourly male workers, who were more likely than other employees to be exposed to the chemicals studied, had a 1.5-fold increased risk of death from NHL.
However, the investigators did not observe a significant relationship between NHL and any of the chemicals studied.
This research originated from concerns about the release of trichloroethylene (TCE), perchlorethylene (PCE), and other industrial chemicals through groundwater and air emissions from several industrial facilities in a town in upstate New York.
Previous studies suggested the chemicals were associated with increases in the incidence of kidney, lung, and testicular cancer in the community. So researchers initiated a study of current and former workers of the local microelectronics and business machine facility.
Patient population
Sharon R. Silver, of the National Institute for Occupational Safety and Health in Cincinnati, Ohio, and her colleagues examined health outcomes among 34,494 former workers employed at the facility for at least 91 days between 1969 and 2001.
Machining workers were exposed to dust, noise, solvents, and metals. And “wet” process workers were exposed to chemical solutions used in manufacturing circuit boards and their substrates. The facility also had employees in non-production roles, including sales and office support, as well as computer programming.
The researchers evaluated the relationship between health outcomes and the estimated cumulative extent of potential chemical exposures, stratified according to gender and pay code.
Of the 34,494 workers, 69.7% were male. Among males, 15,447 were hourly workers, and 8590 were salaried. Among females, 8934 were hourly workers, and 1523 were salaried.
Chemical exposure
A previous study of this population revealed the use of 6 chemical agents (fiberglass, lead, methylene chloride, methyl chloroform, PCE, and TCE), 6 chemical classes (acid-base, aromatic hydrocarbons, chlorinated hydrocarbons, other hydrocarbons, chlorofluorocarbons, and metals), and general chemicals (including unspecified).
The potential for exposure to a chemical agent or class was much more common among hourly workers than salaried workers. Among males, 65.7% of hourly workers and 20% of salaried workers were exposed to at least 1 of the chemicals studied. Among females, exposure rates were 58.5% and 13.9%, respectively.
“Other hydrocarbons” was the chemical class that male hourly workers were potentially exposed to most often (60.5%). At least one-third of workers in this group had potential exposure to chlorinated hydrocarbons, lead, and acids and bases. TCE and PCE were the least common exposure agents among male hourly workers, with 13.9% and 15.1% exposed, respectively.
Cancer mortality, incidence
The investigators used mortality rates from the US population, as well as New York State (excluding New York City), to calculate the number of expected deaths among study participants. The standardized mortality ratio (SMR) is the ratio of observed to expected deaths.
The average follow-up was 25.7 years. By the study end date, 5966 workers (17.3%) had died. Workers employed less than a year at the facility (n=8397) comprised 363 of these deaths.
Both all-cause mortality (SMR=0.67) and all-cancer mortality (SMR=0.74) showed a statistically significant deficit for the entire workforce. Most of the individual cancers and other conditions studied were not associated with an increased risk of death.
There were significant increases in death for certain cancers among males, but there was no significant increase in a specific cause of death among females belonging to either pay code.
There was an increased risk of death from NHL among male hourly workers but not salaried workers, with SMRs of 1.49 and 0.68, respectively. The same pattern occurred for rectal cancer, with SMRs of 1.71 and 0.71, respectively.
The study also revealed an elevated incidence of pleural cancers in salaried males, mesothelioma in hourly workers, and testicular cancer in salaried males.
The increase in mesothelioma and pleural cancers was seen only in workers hired before 1969, which would support a link between the cancers and asbestos exposure. However, the researchers could find no evidence that asbestos was used in manufacturing at the facility.
Similarly, the investigators found no significant link between exposure to specific chemicals and the increased mortality from NHL or rectal cancer. And there was no significant link between exposure and testicular cancer.
Although these results do not suggest a strong role for occupational chemical exposures in cancer incidence and mortality, the researchers said risks from occupational exposures cannot be ruled out due to limitations of this study and the relative youth of this patient cohort.
Researchers have found evidence suggesting that men who work in microelectronics and business machine facilities may have an increased risk of dying from certain cancers, including non-Hodgkin lymphoma (NHL).
Their study, published in the American Journal of Industrial Medicine, was designed to assess the effects chemical exposure might have on the incidence of diseases and worker mortality.
The results showed that hourly male workers, who were more likely than other employees to be exposed to the chemicals studied, had a 1.5-fold increased risk of death from NHL.
However, the investigators did not observe a significant relationship between NHL and any of the chemicals studied.
This research originated from concerns about the release of trichloroethylene (TCE), perchlorethylene (PCE), and other industrial chemicals through groundwater and air emissions from several industrial facilities in a town in upstate New York.
Previous studies suggested the chemicals were associated with increases in the incidence of kidney, lung, and testicular cancer in the community. So researchers initiated a study of current and former workers of the local microelectronics and business machine facility.
Patient population
Sharon R. Silver, of the National Institute for Occupational Safety and Health in Cincinnati, Ohio, and her colleagues examined health outcomes among 34,494 former workers employed at the facility for at least 91 days between 1969 and 2001.
Machining workers were exposed to dust, noise, solvents, and metals. And “wet” process workers were exposed to chemical solutions used in manufacturing circuit boards and their substrates. The facility also had employees in non-production roles, including sales and office support, as well as computer programming.
The researchers evaluated the relationship between health outcomes and the estimated cumulative extent of potential chemical exposures, stratified according to gender and pay code.
Of the 34,494 workers, 69.7% were male. Among males, 15,447 were hourly workers, and 8590 were salaried. Among females, 8934 were hourly workers, and 1523 were salaried.
Chemical exposure
A previous study of this population revealed the use of 6 chemical agents (fiberglass, lead, methylene chloride, methyl chloroform, PCE, and TCE), 6 chemical classes (acid-base, aromatic hydrocarbons, chlorinated hydrocarbons, other hydrocarbons, chlorofluorocarbons, and metals), and general chemicals (including unspecified).
The potential for exposure to a chemical agent or class was much more common among hourly workers than salaried workers. Among males, 65.7% of hourly workers and 20% of salaried workers were exposed to at least 1 of the chemicals studied. Among females, exposure rates were 58.5% and 13.9%, respectively.
“Other hydrocarbons” was the chemical class that male hourly workers were potentially exposed to most often (60.5%). At least one-third of workers in this group had potential exposure to chlorinated hydrocarbons, lead, and acids and bases. TCE and PCE were the least common exposure agents among male hourly workers, with 13.9% and 15.1% exposed, respectively.
Cancer mortality, incidence
The investigators used mortality rates from the US population, as well as New York State (excluding New York City), to calculate the number of expected deaths among study participants. The standardized mortality ratio (SMR) is the ratio of observed to expected deaths.
The average follow-up was 25.7 years. By the study end date, 5966 workers (17.3%) had died. Workers employed less than a year at the facility (n=8397) comprised 363 of these deaths.
Both all-cause mortality (SMR=0.67) and all-cancer mortality (SMR=0.74) showed a statistically significant deficit for the entire workforce. Most of the individual cancers and other conditions studied were not associated with an increased risk of death.
There were significant increases in death for certain cancers among males, but there was no significant increase in a specific cause of death among females belonging to either pay code.
There was an increased risk of death from NHL among male hourly workers but not salaried workers, with SMRs of 1.49 and 0.68, respectively. The same pattern occurred for rectal cancer, with SMRs of 1.71 and 0.71, respectively.
The study also revealed an elevated incidence of pleural cancers in salaried males, mesothelioma in hourly workers, and testicular cancer in salaried males.
The increase in mesothelioma and pleural cancers was seen only in workers hired before 1969, which would support a link between the cancers and asbestos exposure. However, the researchers could find no evidence that asbestos was used in manufacturing at the facility.
Similarly, the investigators found no significant link between exposure to specific chemicals and the increased mortality from NHL or rectal cancer. And there was no significant link between exposure and testicular cancer.
Although these results do not suggest a strong role for occupational chemical exposures in cancer incidence and mortality, the researchers said risks from occupational exposures cannot be ruled out due to limitations of this study and the relative youth of this patient cohort.
Age-adjusted D-dimer cutoff appears safe, effective
embolism; Credit: Medical
College of Georgia
Incorporating age into D-dimer test results can help clinicians more accurately diagnose pulmonary embolism (PE) in older patients, according to a new study.
Adjusting the D-dimer cutoff between abnormal and normal results according to a patient’s age allowed researchers to better differentiate healthy patients from those with PE.
The method did prove ineffective in 1 patient, who was ultimately diagnosed with venous thromboembolism (VTE).
But the remaining 300 patients who had D-dimer levels above the standard cutoff and below their age-adjusted cutoff were VTE-free during follow-up.
And among patients aged 75 and older, the age-adjusted cutoff safely excluded PE in about 30% of patients, whereas the standard cutoff excluded PE in about 6%.
Marc Righini, MD, of Geneva University Hospital in Switzerland, and his colleagues conducted this research and described their results in JAMA.
Previous studies showed that D-dimer levels increase with age. So the proportion of healthy patients with abnormal test results (above 500 µg/L for most tests) increases with age, and this limits the test’s utility in older patients.
Therefore, Dr Righini and his colleagues decided to determine whether an age-adjusted D-dimer threshold could safely exclude the diagnosis of PE in older patients. The team changed the cutoff between abnormal and normal results by multiplying the patient’s age by 10 in those 50 years or older.
The study included 3324 patients with suspected PE who first underwent a clinical probability assessment using either the simplified, revised Geneva score or the 2-level Wells score for PE.
If patients had a high clinical probability of PE (n=426), they underwent computed tomography pulmonary angiography (CTPA) and received treatment according to the results.
If PE was deemed unlikely, patients had a D-dimer test. Of these 2898 patients, 817 had normal results (< 500 μg/L), 337 had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, and 1744 had results higher than their age-adjusted cutoff.
Those 1744 patients joined the group of 426 who underwent CTPA (n=2170), and 631 of them were diagnosed with PE.
Of the 1539 patients who were not diagnosed with PE, 1481 completed the 3-month follow-up without receiving anticoagulant therapy. During that time, 7 of those patients had a confirmed VTE.
Of the 337 patients who had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, 331 completed follow-up without anticoagulation. And 1 of those patients was diagnosed with a VTE during that time.
Similarly, of the 817 patients who had normal D-dimer results, 810 completed follow-up without anticoagulation, and 1 patient was diagnosed with VTE.
So the age-adjusted D-dimer test and clinical probability assessment proved largely effective in identifying those patients at risk of VTE. But it also increased the proportion of elderly patients in whom PE could be safely excluded without further imaging.
Among the 766 patients aged 75 and older, 673 did not have a high clinical probability of PE. And using the age-adjusted cutoff instead of the 500 μg/L cutoff increased the proportion of patients in whom PE could be excluded from 6.4% (43/673) to 29.7% (200/673), without any additional false-negative findings.
The researchers said future studies should assess the utility of the age-adjusted D-dimer cutoff in clinical practice. It remains to be seen whether this method can decrease costs or improve the quality of care.
embolism; Credit: Medical
College of Georgia
Incorporating age into D-dimer test results can help clinicians more accurately diagnose pulmonary embolism (PE) in older patients, according to a new study.
Adjusting the D-dimer cutoff between abnormal and normal results according to a patient’s age allowed researchers to better differentiate healthy patients from those with PE.
The method did prove ineffective in 1 patient, who was ultimately diagnosed with venous thromboembolism (VTE).
But the remaining 300 patients who had D-dimer levels above the standard cutoff and below their age-adjusted cutoff were VTE-free during follow-up.
And among patients aged 75 and older, the age-adjusted cutoff safely excluded PE in about 30% of patients, whereas the standard cutoff excluded PE in about 6%.
Marc Righini, MD, of Geneva University Hospital in Switzerland, and his colleagues conducted this research and described their results in JAMA.
Previous studies showed that D-dimer levels increase with age. So the proportion of healthy patients with abnormal test results (above 500 µg/L for most tests) increases with age, and this limits the test’s utility in older patients.
Therefore, Dr Righini and his colleagues decided to determine whether an age-adjusted D-dimer threshold could safely exclude the diagnosis of PE in older patients. The team changed the cutoff between abnormal and normal results by multiplying the patient’s age by 10 in those 50 years or older.
The study included 3324 patients with suspected PE who first underwent a clinical probability assessment using either the simplified, revised Geneva score or the 2-level Wells score for PE.
If patients had a high clinical probability of PE (n=426), they underwent computed tomography pulmonary angiography (CTPA) and received treatment according to the results.
If PE was deemed unlikely, patients had a D-dimer test. Of these 2898 patients, 817 had normal results (< 500 μg/L), 337 had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, and 1744 had results higher than their age-adjusted cutoff.
Those 1744 patients joined the group of 426 who underwent CTPA (n=2170), and 631 of them were diagnosed with PE.
Of the 1539 patients who were not diagnosed with PE, 1481 completed the 3-month follow-up without receiving anticoagulant therapy. During that time, 7 of those patients had a confirmed VTE.
Of the 337 patients who had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, 331 completed follow-up without anticoagulation. And 1 of those patients was diagnosed with a VTE during that time.
Similarly, of the 817 patients who had normal D-dimer results, 810 completed follow-up without anticoagulation, and 1 patient was diagnosed with VTE.
So the age-adjusted D-dimer test and clinical probability assessment proved largely effective in identifying those patients at risk of VTE. But it also increased the proportion of elderly patients in whom PE could be safely excluded without further imaging.
Among the 766 patients aged 75 and older, 673 did not have a high clinical probability of PE. And using the age-adjusted cutoff instead of the 500 μg/L cutoff increased the proportion of patients in whom PE could be excluded from 6.4% (43/673) to 29.7% (200/673), without any additional false-negative findings.
The researchers said future studies should assess the utility of the age-adjusted D-dimer cutoff in clinical practice. It remains to be seen whether this method can decrease costs or improve the quality of care.
embolism; Credit: Medical
College of Georgia
Incorporating age into D-dimer test results can help clinicians more accurately diagnose pulmonary embolism (PE) in older patients, according to a new study.
Adjusting the D-dimer cutoff between abnormal and normal results according to a patient’s age allowed researchers to better differentiate healthy patients from those with PE.
The method did prove ineffective in 1 patient, who was ultimately diagnosed with venous thromboembolism (VTE).
But the remaining 300 patients who had D-dimer levels above the standard cutoff and below their age-adjusted cutoff were VTE-free during follow-up.
And among patients aged 75 and older, the age-adjusted cutoff safely excluded PE in about 30% of patients, whereas the standard cutoff excluded PE in about 6%.
Marc Righini, MD, of Geneva University Hospital in Switzerland, and his colleagues conducted this research and described their results in JAMA.
Previous studies showed that D-dimer levels increase with age. So the proportion of healthy patients with abnormal test results (above 500 µg/L for most tests) increases with age, and this limits the test’s utility in older patients.
Therefore, Dr Righini and his colleagues decided to determine whether an age-adjusted D-dimer threshold could safely exclude the diagnosis of PE in older patients. The team changed the cutoff between abnormal and normal results by multiplying the patient’s age by 10 in those 50 years or older.
The study included 3324 patients with suspected PE who first underwent a clinical probability assessment using either the simplified, revised Geneva score or the 2-level Wells score for PE.
If patients had a high clinical probability of PE (n=426), they underwent computed tomography pulmonary angiography (CTPA) and received treatment according to the results.
If PE was deemed unlikely, patients had a D-dimer test. Of these 2898 patients, 817 had normal results (< 500 μg/L), 337 had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, and 1744 had results higher than their age-adjusted cutoff.
Those 1744 patients joined the group of 426 who underwent CTPA (n=2170), and 631 of them were diagnosed with PE.
Of the 1539 patients who were not diagnosed with PE, 1481 completed the 3-month follow-up without receiving anticoagulant therapy. During that time, 7 of those patients had a confirmed VTE.
Of the 337 patients who had D-dimer levels ≥ 500 μg/L but below their age-adjusted cutoff, 331 completed follow-up without anticoagulation. And 1 of those patients was diagnosed with a VTE during that time.
Similarly, of the 817 patients who had normal D-dimer results, 810 completed follow-up without anticoagulation, and 1 patient was diagnosed with VTE.
So the age-adjusted D-dimer test and clinical probability assessment proved largely effective in identifying those patients at risk of VTE. But it also increased the proportion of elderly patients in whom PE could be safely excluded without further imaging.
Among the 766 patients aged 75 and older, 673 did not have a high clinical probability of PE. And using the age-adjusted cutoff instead of the 500 μg/L cutoff increased the proportion of patients in whom PE could be excluded from 6.4% (43/673) to 29.7% (200/673), without any additional false-negative findings.
The researchers said future studies should assess the utility of the age-adjusted D-dimer cutoff in clinical practice. It remains to be seen whether this method can decrease costs or improve the quality of care.
NICE wants more info on lenalidomide in MM
Credit: CDC
The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending against the use of lenalidomide (Revlimid) in multiple myeloma (MM) patients who have previously received bortezomib.
Based on current information, NICE has said it cannot recommend the drug for patients who have received bortezomib once and are unable to receive thalidomide or undergo hematopoietic stem cell transplant.
NICE’s previous recommendation regarding lenalidomide in MM has not changed. The drug will still be available through the National Health Service (NHS) for MM patients who have received 2 or more prior therapies.
“We are now looking specifically at how well lenalidomide works after someone has received bortezomib, and whether it provides value for money,” said Sir Andrew Dillon, NICE Chief Executive.
“However, from the information provided by the manufacturer, it was unclear if lenalidomide was as effective as re-treatment with bortezomib, and the manufacturer’s own economic model showed that the drug would not be cost effective at this stage.”
“Because of this, we are unable to recommend the drug in preliminary recommendations. We hope that the manufacturer, Celgene, will look again at their submission.”
NICE also pointed out that, since the organization recommended lenalidomide for MM in 2009, there have been no studies comparing lenalidomide to other treatments in these patients. Celgene has only provided data comparing lenalidomide to placebo.
In addition, for the 2009 guidance, Celgene submitted a patient access scheme, where they bear the costs of the drug beyond 26 cycles (normally for a period of 2 years). And this enabled NICE to recommend the drug. But Celgene has not submitted a patient access scheme for the current appraisal.
NICE considered all the cost effectiveness models Celgene submitted to be fundamentally flawed.
NICE concluded that the most plausible costs per quality-adjusted life-year for lenalidomide compared with bortezomib or standard chemotherapies were more than £30,000, whether bortezomib re-treatment was appropriate or not.
Lenalidomide is available as a 21-capsule pack. The cost per pack varies according to capsule size: £3570 (5 mg), £3780 (10 mg), £3969 (15 mg), and £4368 (25 mg). The recommended starting dose is 25 mg orally, once daily on days 1-21 of repeated 28-day cycles.
The draft guidance is open for public comment until April 4. Until a final guidance is issued, NHS bodies should make decisions locally on the funding of specific treatments. Once NICE issues its final guidance, it replaces local recommendations.
Credit: CDC
The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending against the use of lenalidomide (Revlimid) in multiple myeloma (MM) patients who have previously received bortezomib.
Based on current information, NICE has said it cannot recommend the drug for patients who have received bortezomib once and are unable to receive thalidomide or undergo hematopoietic stem cell transplant.
NICE’s previous recommendation regarding lenalidomide in MM has not changed. The drug will still be available through the National Health Service (NHS) for MM patients who have received 2 or more prior therapies.
“We are now looking specifically at how well lenalidomide works after someone has received bortezomib, and whether it provides value for money,” said Sir Andrew Dillon, NICE Chief Executive.
“However, from the information provided by the manufacturer, it was unclear if lenalidomide was as effective as re-treatment with bortezomib, and the manufacturer’s own economic model showed that the drug would not be cost effective at this stage.”
“Because of this, we are unable to recommend the drug in preliminary recommendations. We hope that the manufacturer, Celgene, will look again at their submission.”
NICE also pointed out that, since the organization recommended lenalidomide for MM in 2009, there have been no studies comparing lenalidomide to other treatments in these patients. Celgene has only provided data comparing lenalidomide to placebo.
In addition, for the 2009 guidance, Celgene submitted a patient access scheme, where they bear the costs of the drug beyond 26 cycles (normally for a period of 2 years). And this enabled NICE to recommend the drug. But Celgene has not submitted a patient access scheme for the current appraisal.
NICE considered all the cost effectiveness models Celgene submitted to be fundamentally flawed.
NICE concluded that the most plausible costs per quality-adjusted life-year for lenalidomide compared with bortezomib or standard chemotherapies were more than £30,000, whether bortezomib re-treatment was appropriate or not.
Lenalidomide is available as a 21-capsule pack. The cost per pack varies according to capsule size: £3570 (5 mg), £3780 (10 mg), £3969 (15 mg), and £4368 (25 mg). The recommended starting dose is 25 mg orally, once daily on days 1-21 of repeated 28-day cycles.
The draft guidance is open for public comment until April 4. Until a final guidance is issued, NHS bodies should make decisions locally on the funding of specific treatments. Once NICE issues its final guidance, it replaces local recommendations.
Credit: CDC
The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending against the use of lenalidomide (Revlimid) in multiple myeloma (MM) patients who have previously received bortezomib.
Based on current information, NICE has said it cannot recommend the drug for patients who have received bortezomib once and are unable to receive thalidomide or undergo hematopoietic stem cell transplant.
NICE’s previous recommendation regarding lenalidomide in MM has not changed. The drug will still be available through the National Health Service (NHS) for MM patients who have received 2 or more prior therapies.
“We are now looking specifically at how well lenalidomide works after someone has received bortezomib, and whether it provides value for money,” said Sir Andrew Dillon, NICE Chief Executive.
“However, from the information provided by the manufacturer, it was unclear if lenalidomide was as effective as re-treatment with bortezomib, and the manufacturer’s own economic model showed that the drug would not be cost effective at this stage.”
“Because of this, we are unable to recommend the drug in preliminary recommendations. We hope that the manufacturer, Celgene, will look again at their submission.”
NICE also pointed out that, since the organization recommended lenalidomide for MM in 2009, there have been no studies comparing lenalidomide to other treatments in these patients. Celgene has only provided data comparing lenalidomide to placebo.
In addition, for the 2009 guidance, Celgene submitted a patient access scheme, where they bear the costs of the drug beyond 26 cycles (normally for a period of 2 years). And this enabled NICE to recommend the drug. But Celgene has not submitted a patient access scheme for the current appraisal.
NICE considered all the cost effectiveness models Celgene submitted to be fundamentally flawed.
NICE concluded that the most plausible costs per quality-adjusted life-year for lenalidomide compared with bortezomib or standard chemotherapies were more than £30,000, whether bortezomib re-treatment was appropriate or not.
Lenalidomide is available as a 21-capsule pack. The cost per pack varies according to capsule size: £3570 (5 mg), £3780 (10 mg), £3969 (15 mg), and £4368 (25 mg). The recommended starting dose is 25 mg orally, once daily on days 1-21 of repeated 28-day cycles.
The draft guidance is open for public comment until April 4. Until a final guidance is issued, NHS bodies should make decisions locally on the funding of specific treatments. Once NICE issues its final guidance, it replaces local recommendations.
FDA approves drug for infantile hemangioma
infant’s stomach
The US Food and Drug Administration has approved oral propranolol hydrochloride (Hemangeol) to treat proliferating infantile hemangiomas that require systemic therapy.
The drug, which is also under review in the European Union, will be available in the US in June.
Infantile hemangioma is the most common vascular benign tumor of infancy, affecting 3% to 10% of newborns. The lesions are rarely detectable at birth and start growing noticeably in the first 4 to 6 weeks of life.
While most infantile hemangiomas do not require treatment, approximately 12% do. Depending upon their location, infantile hemangiomas might impair breathing, eating, or vision, or become life-threatening.
Propranolol has long been used in cardiology, but its use in infantile hemangiomas is relatively new. In 2007, Christine Léauté-Labreze, MD, a dermatologist at the Bordeaux University Hospital in France, discovered that propranolol could treat infantile hemangiomas.
Since then, the drug has been used for this indication off-label. And in 2009, Pierre Fabre Dermatologie began developing propranolol hydrochloride for use in infantile hemangiomas.
In a study of 32 children, propranolol slowed the growth of infantile hemangiomas in 100% of patients. Patients had received propranolol at 2 to 3 mg/kg per day for a median of 6.1 months. Side effects were “limited and mild,” according to researchers (V Sans et al. Pediatrics 2009).
Researchers also conducted a randomized, controlled trial of the drug in infants 5 weeks to 5 months old at therapy initiation. The team compared 4 propranolol treatment protocols (1 or 3 mg/kg/day for 3 or 6 months) to placebo.
Propranolol at a daily dose of 3 mg/kg for 6 months had a 60.4% success rate, compared to 3.6% in the placebo group (P<0.0001). Success was defined as complete or nearly complete resolution of the target hemangioma. However, 11.4% of patients needed to be re-treated after stopping propranolol.
The drug is contraindicated in premature infants who have a corrected age of less than 5 weeks, weight less than 2 kg, known hypersensitivity to propranolol or any of its excipients, asthma or a history of bronchospasm, pheochromocytoma, blood pressure less than 50/30 mmHg, a heart rate less than 80 beats per minute, greater than first degree heart block, or decompensated heart failure.
Propranolol hydrochloride can cause serious side effects, including hypoglycemia, bradycardia, hypotension, and bronchospasm. The drug can worsen congestive heart failure and may increase the risk of stroke in children with PHACE syndrome.
The most frequently reported adverse reactions, occurring in more than 10% of infants receiving propranolol hydrochloride, were sleep disorders, diarrhea, vomiting, and aggravated respiratory tract infections, such as bronchitis and bronchiolitis associated with cough and fever. Adverse reactions led to treatment discontinuation in fewer than 2% of treated patients.
infant’s stomach
The US Food and Drug Administration has approved oral propranolol hydrochloride (Hemangeol) to treat proliferating infantile hemangiomas that require systemic therapy.
The drug, which is also under review in the European Union, will be available in the US in June.
Infantile hemangioma is the most common vascular benign tumor of infancy, affecting 3% to 10% of newborns. The lesions are rarely detectable at birth and start growing noticeably in the first 4 to 6 weeks of life.
While most infantile hemangiomas do not require treatment, approximately 12% do. Depending upon their location, infantile hemangiomas might impair breathing, eating, or vision, or become life-threatening.
Propranolol has long been used in cardiology, but its use in infantile hemangiomas is relatively new. In 2007, Christine Léauté-Labreze, MD, a dermatologist at the Bordeaux University Hospital in France, discovered that propranolol could treat infantile hemangiomas.
Since then, the drug has been used for this indication off-label. And in 2009, Pierre Fabre Dermatologie began developing propranolol hydrochloride for use in infantile hemangiomas.
In a study of 32 children, propranolol slowed the growth of infantile hemangiomas in 100% of patients. Patients had received propranolol at 2 to 3 mg/kg per day for a median of 6.1 months. Side effects were “limited and mild,” according to researchers (V Sans et al. Pediatrics 2009).
Researchers also conducted a randomized, controlled trial of the drug in infants 5 weeks to 5 months old at therapy initiation. The team compared 4 propranolol treatment protocols (1 or 3 mg/kg/day for 3 or 6 months) to placebo.
Propranolol at a daily dose of 3 mg/kg for 6 months had a 60.4% success rate, compared to 3.6% in the placebo group (P<0.0001). Success was defined as complete or nearly complete resolution of the target hemangioma. However, 11.4% of patients needed to be re-treated after stopping propranolol.
The drug is contraindicated in premature infants who have a corrected age of less than 5 weeks, weight less than 2 kg, known hypersensitivity to propranolol or any of its excipients, asthma or a history of bronchospasm, pheochromocytoma, blood pressure less than 50/30 mmHg, a heart rate less than 80 beats per minute, greater than first degree heart block, or decompensated heart failure.
Propranolol hydrochloride can cause serious side effects, including hypoglycemia, bradycardia, hypotension, and bronchospasm. The drug can worsen congestive heart failure and may increase the risk of stroke in children with PHACE syndrome.
The most frequently reported adverse reactions, occurring in more than 10% of infants receiving propranolol hydrochloride, were sleep disorders, diarrhea, vomiting, and aggravated respiratory tract infections, such as bronchitis and bronchiolitis associated with cough and fever. Adverse reactions led to treatment discontinuation in fewer than 2% of treated patients.
infant’s stomach
The US Food and Drug Administration has approved oral propranolol hydrochloride (Hemangeol) to treat proliferating infantile hemangiomas that require systemic therapy.
The drug, which is also under review in the European Union, will be available in the US in June.
Infantile hemangioma is the most common vascular benign tumor of infancy, affecting 3% to 10% of newborns. The lesions are rarely detectable at birth and start growing noticeably in the first 4 to 6 weeks of life.
While most infantile hemangiomas do not require treatment, approximately 12% do. Depending upon their location, infantile hemangiomas might impair breathing, eating, or vision, or become life-threatening.
Propranolol has long been used in cardiology, but its use in infantile hemangiomas is relatively new. In 2007, Christine Léauté-Labreze, MD, a dermatologist at the Bordeaux University Hospital in France, discovered that propranolol could treat infantile hemangiomas.
Since then, the drug has been used for this indication off-label. And in 2009, Pierre Fabre Dermatologie began developing propranolol hydrochloride for use in infantile hemangiomas.
In a study of 32 children, propranolol slowed the growth of infantile hemangiomas in 100% of patients. Patients had received propranolol at 2 to 3 mg/kg per day for a median of 6.1 months. Side effects were “limited and mild,” according to researchers (V Sans et al. Pediatrics 2009).
Researchers also conducted a randomized, controlled trial of the drug in infants 5 weeks to 5 months old at therapy initiation. The team compared 4 propranolol treatment protocols (1 or 3 mg/kg/day for 3 or 6 months) to placebo.
Propranolol at a daily dose of 3 mg/kg for 6 months had a 60.4% success rate, compared to 3.6% in the placebo group (P<0.0001). Success was defined as complete or nearly complete resolution of the target hemangioma. However, 11.4% of patients needed to be re-treated after stopping propranolol.
The drug is contraindicated in premature infants who have a corrected age of less than 5 weeks, weight less than 2 kg, known hypersensitivity to propranolol or any of its excipients, asthma or a history of bronchospasm, pheochromocytoma, blood pressure less than 50/30 mmHg, a heart rate less than 80 beats per minute, greater than first degree heart block, or decompensated heart failure.
Propranolol hydrochloride can cause serious side effects, including hypoglycemia, bradycardia, hypotension, and bronchospasm. The drug can worsen congestive heart failure and may increase the risk of stroke in children with PHACE syndrome.
The most frequently reported adverse reactions, occurring in more than 10% of infants receiving propranolol hydrochloride, were sleep disorders, diarrhea, vomiting, and aggravated respiratory tract infections, such as bronchitis and bronchiolitis associated with cough and fever. Adverse reactions led to treatment discontinuation in fewer than 2% of treated patients.