Faculty Bibliography

The use of race as a risk assessment tool and pharmacologic target has garnered recent attention and debate. It is currently unclear if a relationship between race and the development of severe alcohol withdrawal exists. We explored this potential relationship using several study groups. Methods: A simultaneous prospective enrollment of patients and retrospective chart review of severe alcohol withdrawal in two separate settings was performed comparing both the incidence of withdrawal and alcoholism based on race. These two study groups were then compared to an 'at risk' group of alcoholics and the general ED population to determine differences in the distribution of race. Results: Individuals of white race in both study groups were at increased odds [OR 1.93 (CI 1.11-3.39) and 2.19 (CI 1.41-3.40)] of having severe alcohol withdrawal when compared to non-White 'at risk' alcoholics. Blacks in both study groups however, appear to have lower odds [OR 0.23 (CI 0.11-0.47) and 0.11 (CI 0.05-0.23)] of having severe alcohol withdrawal when compared to non-Black 'at risk' alcoholics. Conclusions: Despite the controversial use of race in medical research and targeting therapies, there appears to be a difference in the odds of severe alcohol withdrawal based on race. The reasons for this finding are currently unclear

It is well documented that transplants save lives and improve quality of life for patients suffering from kidney, liver, and heart failure. Uncontrolled donation after cardiac death (UDCD) is an effective and ethical alternative to existing efforts towards increasing the available pool of organs. However, people who die from an out-of-hospital cardiac arrest are currently being denied the opportunity to be organ donors except in those few locations where out-of-hospital UDCD programs are active, such as in Paris, Madrid, and Barcelona. Societies have the medical and moral obligation to develop UDCD programs

Patients with frequent hospitalizations generate a disproportionate share of hospital visits and costs. Accurate determination of patients who might benefit from interventions is challenging: most patients with frequent admissions in 1 year would not continue to have them in the next. Our objective was to employ a validated regression algorithm to case-find Medicaid patients at high-risk for hospitalization in the next 12 months and identify intervention-amenable characteristics to reduce hospitalization risk. We obtained encounter data for 36,457 Medicaid patients with any visit to an urban public hospital from 2001 to 2006 and generated an algorithm-based score for hospitalization risk in the subsequent 12 months for each patient (0 = lowest, 100 = highest). To determine medical and social contributors to the current admission, we conducted in-depth interviews with high-risk hospitalized patients (scores >50) and analyzed associated Medicaid claims data. An algorithm-based risk score >50 was attained in 2,618 (7.2%) patients. The algorithm's positive predictive value was equal to 0.67. During the study period, 139 high-risk patients were admitted: 60 met inclusion criteria and 50 were interviewed. Fifty-six percent cited the Emergency Department as their usual source of care or had none. Sixty-eight percent had >1 chronic medical conditions, and 42% were admitted for conditions related to substance use. Sixty percent were homeless or precariously housed. Mean Medicaid expenditures for the interviewed patients were $39,188 and $84,040 per patient for the years immediately prior to and following study participation, respectively. Findings including high rates of substance use, homelessness, social isolation, and lack of a medical home will inform the design of interventions to improve community-based care and reduce hospitalizations and associated costs

BACKGROUND: Treatment group imbalances in baseline stroke severity in the NINDS intravenous t-PA for acute stroke treatment trial led to controversy regarding the efficacy of tissue plasminogen activator (t-PA) in the treatment of acute ischemic stroke. PURPOSE: Describe the steps used to independently re-evaluate this trial. METHODS: NIH appointed an independent multidisciplinary committee that gained access to the original data. We undertook analyses of t-PA efficacy accounting for this imbalance, as well as analyses to identify subgroups that experienced additional harm or benefit from t-PA. Analyses of time from stroke onset to treatment (OTT), blood pressure, and intracerebral hemorrhage are given as illustrations. RESULTS: Despite subgroup imbalances in baseline stroke severity, when t-PA was administered to acute ischemic stroke patients according to study protocol, there was a statistically significant and clinically important benefit of t-PA treatment resulting in a higher likelihood of having a favorable clinical outcome at 3 months. Moreover, we were unable to identify subgroups of patients between which t-PA treatment effect differed, albeit these analyses had low power. These data failed to support the NINDS investigators' conclusion that effect of t-PA therapy diminished with increasing values of OTT within the protocol-specified 3 h time limit. In addition, the blood pressure measurements were highly variable and inconsistently determined so as to be too unreliable for inclusion in analysis. CONCLUSION: With new NIH requirements for data-sharing, the frequency of re-analysis of clinical trial data may increase substantially. This re-evaluation provides a blueprint for future re-evaluations of other trials. These best practices include re-analysis of the study data, after suitable replication, by an independent multidisciplinary committee, including a skilled statistical programmer analyst. Primary investigators should address significant errors determined in such re-analyses.

The public health community must advocate for the design and administration of plans and regulations that protect public health, promote effective medical response in evacuations, and require active participation by public health officials in evacuation planning. The public health response during recent natural disasters has highlighted the inadequacies of meeting the needs of complex populations of vulnerable individuals. Critical issues in the emergency management and public health systems with regard to the evaluation of a population are delineated, and potential solutions are suggested.

The importance of the public hospital system to medical education is often absent from the debate about its value. Best known as a core provider of services to the underserved, the safety net hospital system also plays a critical role in the education of future physicians. Particular strengths include its ability to imbue physicians in training with core professional values, to reveal through the enormous range of clinical experience provided many of the social forces shaping health, and to foster interest in and commitment to advancing population health. Faculty teaching in the public hospital system has unusual opportunities to reveal to learners the broader meanings of their diverse and rich experiences. Now, as an alarming array of pressures bearing down on the safety net system threaten its stability, the potential negative impact on medical education, were it to shrink or be forced to change its essential mission, must be considered. As advocates of the safety net system marshal forces to rationalize its funding and support, its tremendous contribution to the training of physicians and other health care professionals must be clearly set forth to ensure that support for the public hospital system's health is appropriately broad based