Sheikh, Muhammad Adil

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.