Mallikethi‐Reddy, Sagar

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.

BACKGROUNDThere is a concerted push for adopting a minimalist strategy with emphasis on early hospital discharge for patients undergoing Transcatheter aortic valve implantation (TAVI). However, studies on discharge patterns and predictors of early discharge (≤3 days post‐TAVI) are sparse, in the United States.METHODSWe analyzed using Healthcare Utilization Project, Nationwide Inpatient Sample database, 2011‐2012. A total of 7321 TAVI procedures were identified. We compared in‐hospital outcomes between early and late discharge cohorts, and determined the predictors of early discharge. Correlation of costs and post‐TAVI length of stay was also performed.RESULTSEarly discharge rate post‐TAVI was about 21% in the United States, in 2011‐2012. Overall mean age was 81 years. In‐hospital adverse outcomes post‐TAVI were higher in late discharge cohort (P < 0.001). Mean length of stay post‐TAVI (7.7 days vs 2.6 days) and costs ($208 752 vs $157 663) were significantly higher in late discharge than early discharge cohort. Females, bleeding, blood transfusions, stroke, permanent pacemakers, mechanical circulatory support, acute kidney injury were associated with significantly lower adjusted odds for early discharge. Transfemoral TAVI approach, prior aortic valvuloplasty, and procedure year 2012 were associated with significantly higher odds for early discharge. We observed positive correlation between costs of hospitalization and post‐TAVI length of stay (R = 0.58; P < 0.001).CONCLUSIONSFemales, bleeding, blood transfusions, stroke, permanent pacemakers, mechanical circulatory support devices, renal failure were associated with lower odds for early discharge. Transfemoral approach and prior aortic valvuloplasty increased the likelihood for early discharge. Post‐TAVI length of stay was associated with significantly higher hospitalization costs.