Adegbala, Oluwole Muyiwa

Background: Prior studies have shown that hospital case volume is not associated with survival in patients with out-of-hospital cardiac arrest (OHCA). However, how case volume impact on survival for in-hospital cardiac arrest (IHCA) is unknown Methods: We queried the National Inpatient Sample (NIS) in the U.S. 2005-2011 to identify cases in which in-hospital CPR was performed for IHCA. Years > 2011 were excluded due to redesign of NIS that precludes case volume calculation. Restricted cubic spine was used to evaluate the association between hospital annual CPR volume and survival to hospital discharge. Further analysis was conducted with case volume in quartiles. Results: Across more than 1000 hospitals in NIS, we identified 137,466 cases (mean age 67, 45% female) of IHCA for which CPR was performed over the study period. Median [Q1, Q3] case volume was 68 [34, 100]. Compared to those in the 1 st quartile (q1) of case volume, hospitals in the 4 th quartile (q4) tends to have younger patients (mean=66 vs 68 yrs), higher comorbidities (median Elixhauser score=4 vs 3), large bed size (89 vs 37%), and in low income areas (37 vs 32%). After adjustment for patient and hospital factors, higher hospital case volume was inversely associated with lower rates of survival (Fig1). Risk-adjusted rates of survival from q1 through q4 were: 28.1%, 25.5%, 25.4% and 23.7%. We arrived at similar results when analysis was stratified by age, gender and hospital bed size (not shown) except that the difference across quartiles was more pronounced among small bed size hospitals (survival rate=27.4% in q1 vs 8.1% in q4). However, among those who survived to hospital discharge, nonroutine home discharge was higher among patients in q1 (73.9%) vs q4 (69.6%) Conclusion: Unlike OHCA, hospital case volume is inversely associated with survival to hospital discharge in patients undergoing CPR for IHCA. Hence, quality measures to reduce the incidence of CPR/IHCA have the potential to reduce in-hospital mortality

AbstractObjectivesThe aim of this study was to determine the prevalence of peripheral artery disease (PAD) and its association with in‐hospital outcomes after endovascular transcatheter aortic valve replacement (EV‐TAVR).BackgroundTAVR is an established treatment for patients at prohibitive, high, or intermediate surgical risk. PAD is a significant comorbidity in the determination of surgical risk. However, data on association of PAD with outcomes after EV‐TAVR are limited.MethodsPatients in the National Inpatient Sample who underwent EV‐TAVR between January 1, 2012 and September 30, 2015 were evaluated. The primary outcome was in‐hospital mortality.ResultsA total of 51,685 patients underwent EV‐TAVR during the study period. Of these, 12,740 (24.6%) had a coexisting diagnosis of PAD. The adjusted odds for in‐hospital mortality [OR 1.08 (95% CI 0.83–1.41)], permanent pacemaker implantation [OR 0.98 (0.85–1.14)], conversion to open aortic valve replacement [OR 1.05 (0.49–2.26)], or acute myocardial infarction [OR 1.31(0.99–1.71)] were not different in patients with versus without PAD. However, patients with PAD had greater adjusted odds of vascular complications [OR 1.80 (1.50–2.16)], major bleeding [OR 1.20 (1.09–1.34)], acute kidney injury (AKI) [OR 1.19 (1.05–1.36)], cardiac complications [aOR 1.21 (1.01–1.44)], and stroke [OR 1.39(1.10–1.75)] compared with patients without PAD. Length of stay (LOS) was significantly longer for patients with PAD [7.23 (0.14) days vs. 7.11 (0.1) days, p < 0.001].ConclusionOf patients undergoing EV‐TAVR, ~25% have coexisting PAD. PAD was not associated with increased risk of in‐hospital mortality but was associated with higher risk of vascular complications, major bleeding, AKI, stroke, cardiac complications, and longer LOS.

Background Evidence exists for racial/ethnic differences in left ventricular mass index (LVMI). How this translates to future cardiovascular disease (CVD) events is unknown. Hypothesis The impact of racial/ethnic differences in LVMI on incident cardiovascular outcomes could have potential implications for the optimization of risk stratification strategies. Methods Using the prospectively collected database of the Multi‐Ethnic Study of Atherosclerosis (MESA) involving 4 racial/ethnic groups (non‐Hispanic Whites, Chinese, Blacks, and Hispanics) free of CVD at baseline, we assessed for racial/ethnic differences in the relationship between LVMI and incident CVD using a Cox model. Results 5004 participants (mean age, 62 ± 10 years; 48% male) were included in this study. After an average follow‐up of 10.2 years, 369 (7.4%) CVD events occurred. Significant racial/ethnic differences existed in the relationship between LVMI and incident CVD ( P for interaction = 0.04). Notably, the relationship was strongest for Chinese (HR per 10‐unit increase in LVMI: 1.7, 95% CI: 1.1–2.8) and Hispanics (HR per 10‐unit increase in LVMI: 1.9, 95% CI: 1.5–2.2). Non‐Hispanic Whites demonstrated the lowest relationship (HR: 1.3, 95% CI: 1.1–1.5). LVMI values of 36.9 g/m 2.7 , 31.8 g/m 2.7 , 39.9 g/m 2.7 , and 41.7 g/m 2.7 were identified as optimal cutpoints for defining left ventricular hypertrophy (LVH) for non‐Hispanic Whites, Chinese, Blacks, and Hispanics, respectively. In secondary analysis of LVH (vs no LVH) using these optimal cutpoints, we found a similar pattern of association as above ( P for interaction = 0.04). For example, compared with those without LVH, Chinese with LVH had HR: 5.3, 95% CI: 1.6–17, whereas non‐Hispanic Whites with LVH had HR: 1.6, 95% CI: 1.2–2.1 for CVD events. Conclusions Among 4 races/ethnicities studied, LVMI has more prognostic utility predicting future CVD events for Chinese and Hispanics and is least significant for non‐Hispanic Whites.

BackgroundThere is lack of evidence of the impact of varying season on heart failure (HF) hospitalization outcomes in the U.S.HypothesisHF hospitalization outcomes exhibit significant seasonal variation in the U.S.MethodsUsing data from the National Inpatient Sample (2011‐2013), seasonal variation was classified based on meteorological classification of Northern Hemisphere–Spring, Summer, Fall, & Winter–and analysis was conducted via multivariable‐adjusted mixed‐effect model.ResultsAn estimated 2.8 million adults were hospitalized for HF in the U.S. from 2011 to 2013. Of all hospitalizations, admissions were highest in Winter (27%), followed by Spring (26%), Fall (24%), and Summer (23%). The overall mortality rate was 3.1%. Compared with Spring, there was significantly lower mortality in Summer (odds ratio [OR]: 0.95, 95% CI: 0.91‐0.99) and Fall (OR: 0.94, 95% CI: 0.89‐0.98), but the highest mortality was in Winter (OR: 1.06, 95% CI: 1.02‐1.11). In addition, mean length of stay and median cost of hospitalization were highest in Winter (5.3 days, USD7459, respectively) and lowest in Summer (5.1 days, USD7181, respectively). However, age and sex differences existed (e.g. seasonal variation in inpatient mortality was only significant for patients age ≥65 years, and, comparedwith the Spring season, males had higher risk of inpatient mortality in Winter (OR: 1.10, 95% CI: 1.04‐1.17) and females had lower risk of inpatient mortality in Summer (OR: 0.94, 95% CI: 0.88‐1.00) and Fall (OR: 0.92, 95% CI: 0.87‐0.98).ConclusionsAmong HF patients in the U.S., hospitalization outcomes were worse in Winter but better in Summer.