Weight change modulates epicardial fat burden: a 4-year serial study with non-contrast computed tomography

Atherosclerosis. 2012 Jan;220(1):139-44. doi: 10.1016/j.atherosclerosis.2011.10.014. Epub 2011 Oct 20.

Abstract

Introduction: Epicardial fat volume (EFV) is linked to cardiovascular event risk. We aimed to investigate the relationships between EFV and weight change.

Methods: From the EISNER (Early Identification of Subclinical Atherosclerosis using Non-invasive Imaging Research) Registry with baseline and follow-up coronary calcium scans (1248 subjects), we selected a cohort of 374 asymptomatic subjects matched using age decade, gender and coronary calcium score (CCS) as a measure of subclinical cardiovascular risk, who underwent 2 scans at an interval of 4.1±0.4 years. Using semi-automated validated software, pericardial contours were generated on all slices by spline interpolation from 5 to 10 control points. EFV was computed as fat volume within the pericardial contours. Weight gain/loss was defined as >5% change.

Results: At baseline, EFV was moderately correlated to weight, body mass index (BMI) and waist circumference (r=0.51, 0.41 and 0.50, p<0.0001). EFV change was weakly correlated to change in weight (r=0.37, p<0.0001), BMI (r=0.39, p<0.0001) and waist circumference (r=0.21, p=0.002). On multivariable linear regression analysis, weight change [β=1.2, 95% confidence interval (CI) 0.9-1.5, p<0.001], BMI change (β=1.2, 95% CI 0.9-1.5, p<0.001), gender (β=-6.4, 95% CI -10.9 to -1.8, p=0.006) and hypertension (β=4.7, 95% CI 0.5-9.0, p=0.03) predicted EFV change. EFV decreased in 54 subjects with weight loss and increased in 71 subjects with weight gain (-2.3±21.1% vs. 23.3±24.4%, p<0.001).

Conclusions: EFV is related to body weight, BMI and waist circumference. Reduction in weight may stabilize or reduce EFV, while weight gain may promote EFV increase.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Adult
  • Aged
  • Analysis of Variance
  • Body Mass Index
  • Case-Control Studies
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Pericardium / diagnostic imaging*
  • Radiographic Image Interpretation, Computer-Assisted
  • Registries
  • Time Factors
  • Tomography, X-Ray Computed*
  • United States
  • Waist Circumference
  • Weight Gain*
  • Weight Loss*