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Left Ventricular Function Across the Spectrum of Body Mass Index in African Americans

Authors :
James G. Terry
Edmond K. Kabagambe
Vivek G. Patel
Aldolfo Correa
Deepak K. Gupta
Herman A. Taylor
Thomas J. Wang
Michael Griswold
J. Jeffrey Carr
Source :
JACC: Heart Failure. 5:182-190
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Objectives This study sought to assess whether body mass index (BMI) was associated with subclinical left ventricular (LV) systolic dysfunction in African-American individuals. Background Higher BMI is a risk factor for cardiovascular disease, including heart failure. Obesity disproportionately affects African Americans; however, the association between higher BMI and LV function in African Americans is not well understood. Methods Peak systolic circumferential strain (ECC) was measured by tagged cardiac magnetic resonance in 1,652 adult African-American participants of the Jackson Heart Study between 2008 and 2012. We evaluated the association between BMI and ECC in multivariate linear regression and restricted cubic spline analyses adjusted for prevalent cardiovascular disease, conventional cardiovascular risk factors, LV mass, and ejection fraction. In exploratory analyses, we also examined whether inflammation, insulin resistance, or volume of visceral adipose tissue altered the association between BMI and ECC. Results The proportions of female, nonsmokers, diabetic, and hypertensive participants rose with increase in BMI. In multivariate-adjusted models, higher BMI was associated with worse ECC (β = 0.052; 95% confidence interval: 0.028 to 0.075), even in the setting of preserved LV ejection fraction. Higher BMI was also associated with worse ECC when accounting for markers of inflammation (C-reactive protein, E-selection, and P-selectin), insulin resistance, and volume of visceral adipose tissue. Conclusions Higher BMI is significantly associated with subclinical LV dysfunction in African Americans, even in the setting of preserved LV ejection fraction.

Details

ISSN :
22131779
Volume :
5
Database :
OpenAIRE
Journal :
JACC: Heart Failure
Accession number :
edsair.doi...........9f93ba069152fed794b2af9cc6113132
Full Text :
https://doi.org/10.1016/j.jchf.2016.12.020