Gender disparities in the association between epicardial adipose tissue volume and coronary atherosclerosis: a 3-dimensional cardiac computed tomography imaging study in Japanese subjects

Cardiovasc Diabetol. 2012 Sep 10:11:106. doi: 10.1186/1475-2840-11-106.

Abstract

Background: Growing evidence suggests that epicardial adipose tissue (EAT) may contribute to the development of coronary artery disease (CAD). In this study, we explored gender disparities in EAT volume (EATV) and its impact on coronary atherosclerosis.

Methods: The study population consisted of 90 consecutive subjects (age: 63 ± 12 years; men: 47, women: 43) who underwent 256-slice multi-detector computed tomography (MDCT) coronary angiography. EATV was measured as the sum of cross-sectional epicardial fat area on CT images, from the lower surface of the left pulmonary artery origin to the apex. Subjects were segregated into the CAD group (coronary luminal narrowing > 50%) and non-CAD group.

Results: EATV/body surface area (BSA) was higher among men in the CAD group than in the non-CAD group (62 ± 13 vs. 33 ± 10 cm3/m2, p < 0.0001), but did not differ significantly among women in the 2 groups (49 ± 18 vs. 42 ± 9 cm3/m2, not significant). Multivariate logistic analysis showed that EATV/BSA was the single predictor for >50% coronary luminal narrowing in men (p < 0.0001). Predictors excluded were age, body mass index, hypertension, diabetes mellitus, and hyperlipidemia.

Conclusions: Increased EATV is strongly associated with coronary atherosclerosis in men.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Age Factors
  • Aged
  • Asian People*
  • Body Surface Area
  • Chi-Square Distribution
  • Coronary Angiography / methods*
  • Coronary Artery Disease / diagnostic imaging*
  • Coronary Artery Disease / ethnology
  • Coronary Stenosis / diagnostic imaging*
  • Coronary Stenosis / ethnology
  • Female
  • Health Status Disparities*
  • Humans
  • Japan / epidemiology
  • Logistic Models
  • Male
  • Middle Aged
  • Multidetector Computed Tomography*
  • Multivariate Analysis
  • Pericardium / diagnostic imaging*
  • Predictive Value of Tests
  • Risk Assessment
  • Risk Factors
  • Severity of Illness Index
  • Sex Factors