Abstract P588: The Association of Anthropometric Measures With Risk for Pre-HF

Abstract

Introduction: Obesity is an epidemiologic challenge and a key risk factor for heart failure (HF). Pre-heart failure (pre-HF) has been recognized as an important entity to prevent progression to clinical HF. Defining the long-term effect of obesity on pre-HF is essential for understanding of HF risk and prevention. Purpose: To determine the prospective association of obesity on the incidence of pre-HF (defined as the presence of abnormal cardiac structure or function among persons without clinical HF). Methods: Data from 1580 individuals without HF and with anthropometric data from the population-based Echocardiographic-Study of Latinos were included. Pre-HF was defined as: 1) Systolic dysfunction - LV ejection fraction (LVEF) < 50% and global longitudinal strain (GLS) <15%; 2) LV diastolic dysfunction - E/e’ >10 and left atrial volume index (LAVI) >34 mL/m 2 ; or 3) LV remodeling - LV mass index (LVMI)> 115gm/m 2 , >95gm/m 2 (male and female, respectively) and relative wall thickness (RWT) >0.42. Anthropometric data were: (body mass index {BMI}, waist circumference {WC}, waist-to-hip ratio {WHR}, fat mass {FM) and free fat mass {FFM}). Echocardiographic and anthropometric data were collected twice, on average 4.3 years apart, and analyzed using survey-weighted multivariable-adjusted regression models. Incident pre-HF was determined among participants Results: Mean age of 56 (42-74) years and 1048 (66%) were female. Baseline mean BMI was 29.9 kgm 2 , FM kg 28.3, FFM kg 50.1, WC 99.7cm, and WHR 0.94. Baseline BMI, FFM, FM, WC and WHR were significantly higher in individuals with prevalent pre-HF (all p<0.007). Longitudinal data showed that WC and WHR were associated with greater probability of incident pre-HF (WC and WHR p<0.0006. Regression models showed BMI, WC, WHR and FFM were associated with increased odds of incident Pre-HF (Table 1).