Faculty Bibliography

BACKGROUND: Angiotensin converting enzyme inhibitors (ACEi) are widely used in the treatment of patients with hypertension. However, their efficacy in hypertensive blacks when compared with other antihypertensive agents is not well established. METHODS: Cohort study of patients using data from a clinical data warehouse of 434,646 patients from New York City's Health and Hospitals Corporation (HHC) from January 2004 - December 2009. Patients were divided into the following comparison groups: ACEi vs. Calcium Channel Blocker (CCB); ACEi vs. thiazide diuretics and ACEi vs. beta-blockers. Primary outcome was a composite of death, myocardial infarction or stroke. Secondary outcomes include the individual components and heart failure. RESULTS: In the propensity score matched ACEi vs. CCB comparison cohort (4,506 blacks in each group), ACEi was associated with higher risk of primary outcome (HR=1.45; 95% CI 1.19, 1.77; P=0.0003), myocardial infarction (HR=3.40; 95% CI 1.25, 9.22; P=0.02), stroke (HR=1.82; 95% CI 1.29, 2.57; P=0.001) and heart failure (HR=1.77; 95% CI 1.30, 2.42; P=0.0003) when compared with CCB. For the ACEi vs. thiazide diuretics comparison (5,337 blacks in each group), ACEi was associated with higher risk of primary outcome (HR=1.65; 95% CI 1.33, 2.05; P<0.0001), death (HR=1.35; 95% CI 1.03, 1.76; P=0.03), myocardial infarction (HR=4.00; 95% CI 1.34, 11.96; P=0.01), stroke (HR=1.97; 95% CI 1.34, 2.92; P=0.001) and heart failure (HR=3.00; 95% CI 1.99, 4.54; P<0.0001). For the ACEi vs. beta-blocker comparison, the outcomes between the groups were not significantly different. CONCLUSIONS: In a real-world cohort of hypertensive blacks, ACEi was associated with higher risk of cardiovascular events when compared with CCB or thiazide diuretics.

BACKGROUND: Hospital care on weekends has been associated with delays in care, reduced quality, and poor clinical outcomes. OBJECTIVE: The purpose of this study was to evaluate the impact of a weekend hospital intervention on processes of care and clinical outcomes. The multifaceted intervention included expanded weekend diagnostic services, improved weekend discharge processes, and increased physician and care management services on weekends. DESIGN AND PATIENTS: This was an interrupted time series observational study of adult non-obstetric patients hospitalized at a single academic medical center between January 2011 and January 2014. The study included 18 months prior to and 19 months following the implementation of the intervention. Data were analyzed using segmented regression analysis with adjustment for confounders. MAIN MEASURES: The primary outcome was average length of stay. Secondary outcomes included percent of patients discharged on weekends, 30-day readmission rate, and in-hospital mortality rate. KEY RESULTS: The study included 57,163 hospitalizations. Following implementation of the intervention, average length of stay decreased by 13 % (95 % CI 10-15 %) and continued to decrease by 1 % (95 % CI 1-2 %) per month as compared to the underlying time trend. The proportion of weekend discharges increased by 12 % (95 % CI 2-22 %) at the time of the intervention and continued to increase by 2 % (95 % CI 1-3 %) per month thereafter. The intervention had no impact on readmissions or mortality. During the post-implementation period, the hospital was evacuated and closed for 2 months due to damage from Hurricane Sandy, and a new hospital-wide electronic health record was introduced. The contributions of these events to our findings are not known. We observed a lower inpatient census and found differences in patient characteristics, including higher rates of Medicaid insurance and comorbidities, in the post-Hurricane Sandy period as compared to the pre-Sandy period. CONCLUSIONS: The intervention was associated with a reduction in length of stay and an increase in weekend discharges. Our longitudinal study also illuminated the challenges of evaluating the effectiveness of a large-scale intervention in a real-world hospital setting.

We performed a retrospective cohort study of patients with chronic obstructive lung disease (COPD) on long-term oxygen treatment (LTOT) who received invasive mechanical ventilation for COPD exacerbation. Of the 4791 patients, 23% died in the hospital, and 45% died in the subsequent 12 months. 67% of patients were readmitted at least once in the subsequent 12 months, and 26.8% were discharged to a nursing home or skilled nursing facility within 30 days. We conclude that these patients have high mortality rates, both in-hospital and in the 12 months postdischarge. If patients survive, many will be readmitted to the hospital and discharged to nursing home. These potential outcomes may support informed critical care decision making and more preference congruent care.

BACKGROUND: Treatment of acute heart failure in the emergency department (ED) or observation unit is an alternative to hospitalization. Both ED management and observation unit management have been associated with reduced costs and may be used to avoid penalties related to rehospitalizations. The purpose of this study was to examine trends in ED visits for heart failure and disposition following such visits. METHODS: We used the National Hospital Ambulatory Medical Care Survey, a representative sample of ED visits in the United States, to estimate rates and characteristics of ED visits for heart failure between 2002 and 2010. The primary outcome was the discharge disposition from the ED. Regression models were fit to estimate trends and predictors of hospitalization and admission to an observation unit. RESULTS: The number of ED visits for heart failure remained stable over the period, from 914,739 in 2002 to 848,634 in 2010 (annual change -0.7%, 95% CI -3.7% to +2.5%). Of these visits, 74.2% led to hospitalization, wheras 3.1% led to observation unit admission. The likelihood of hospitalization did not change during the period (adjusted prevalence ratio 1.00, 95% CI 0.99-1.01 for each additional year), whereas admission to the observation unit increased annually (adjusted prevalence ratio 1.12, 95% CI 1.01-1.25). We observed significant regional differences in likelihood of hospitalization and observation admission. CONCLUSIONS: The number of ED visits for heart failure and the high proportion of ED visits with subsequent inpatient hospitalization have not changed in the last decade. Opportunities may exist to reduce hospitalizations by increasing short-term management of heart failure in the ED or observation unit.

OBJECTIVE: The purpose of this study was to evaluate the association of physician continuity of care with length of stay, likelihood of weekend discharge, in-hospital mortality and 30-day readmission. DESIGN: A cohort study of hospitalized medical patients. The primary exposure was the weekend usual provider continuity (UPC) over the initial weekend of care. This metric was adapted from an outpatient continuity of care index. Regression models were developed to determine the association between UPC and outcomes. SETTING: An academic medical center. MAIN OUTCOME MEASURE: Length of stay which was calculated as the number of days from the first Saturday of the hospitalization to the day of discharge. RESULTS: Of the 3391 patients included in this study, the prevalence of low, moderate and high UPC for the initial weekend of hospitalization was 58.7, 22.3 and 19.1%, respectively. When compared with low continuity of care, both moderate and high continuity of care were associated with reduced length of stay, with adjusted rate ratios of 0.92 (95% CI 0.86-1.00) and 0.64 (95% CI 0.53-0.76), respectively. High continuity of care was associated with likelihood of weekend discharge (adjusted odds ratio 2.84, 95% CI 2.11-3.83) but was not significantly associated with mortality (adjusted odds ratio 0.72, 95% CI 0.29-1.80) or readmission (adjusted odds ratio 0.88, 95% CI 0.68-1.14) when compared with low continuity of care. CONCLUSIONS: Increased weekend continuity of care is associated with reduced length of stay. Improvement in weekend cross-coverage and patient handoffs may be useful to improve clinical outcomes.

Cost-effectiveness analysis is an important tool that can be applied to the evaluation of a health treatment or policy. When the observed costs and outcomes result from a nonrandomized treatment, making causal inference about the effects of the treatment requires special care. The challenges are compounded when the observation period is truncated for some of the study subjects. This paper presents a method of unbiased estimation of cost-effectiveness using observational study data that is not fully observed. The method-twice-weighted multiple interval estimation of a marginal structural model-was developed in order to analyze the cost-effectiveness of treatment protocols for advanced dementia residents living nursing homes when they become acutely ill. A key feature of this estimation approach is that it facilitates a sensitivity analysis that identifies the potential effects of unmeasured confounding on the conclusions concerning cost-effectiveness