title: Gender disparities in the association between epicardial adipose tissue volume and coronary atherosclerosis: a 3-dimensional cardiac computed tomography imaging study in Japanese subjects.
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.
authors.affiliation: Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, Tokushima, Japan. mshimabukuro-ur@umin.ac.jp.
authors.forename: Munkhbaatar
authors.initials: M
authors.lastname: Dagvasumberel
authors.forename: Michio
authors.initials: M
authors.lastname: Shimabukuro
authors.forename: Takeshi
authors.initials: T
authors.lastname: Nishiuchi
authors.forename: Junji
authors.initials: J
authors.lastname: Ueno
authors.forename: Shoichiro
authors.initials: S
authors.lastname: Takao
authors.forename: Daiju
authors.initials: D
authors.lastname: Fukuda
authors.forename: Yoichiro
authors.initials: Y
authors.lastname: Hirata
authors.forename: Hirotsugu
authors.initials: H
authors.lastname: Kurobe
authors.forename: Takeshi
authors.initials: T
authors.lastname: Soeki
authors.forename: Takashi
authors.initials: T
authors.lastname: Iwase
authors.forename: Kenya
authors.initials: K
authors.lastname: Kusunose
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Niki
authors.forename: Koji
authors.initials: K
authors.lastname: Yamaguchi
authors.forename: Yoshio
authors.initials: Y
authors.lastname: Taketani
authors.forename: Shusuke
authors.initials: S
authors.lastname: Yagi
authors.forename: Noriko
authors.initials: N
authors.lastname: Tomita
authors.forename: Hirotsugu
authors.initials: H
authors.lastname: Yamada
authors.forename: Tetsuzo
authors.initials: T
authors.lastname: Wakatsuki
authors.forename: Masafumi
authors.initials: M
authors.lastname: Harada
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Kitagawa
authors.forename: Masataka
authors.initials: M
authors.lastname: Sata
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D000367:Age Factors; D000368:Aged; D044466:Asian People; D001830:Body Surface Area; D016009:Chi-Square Distribution; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000208:ethnology; D023921:Coronary Stenosis / Q000000981:diagnostic imaging* / Q000208:ethnology; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D007564:Japan / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography; D015999:Multivariate Analysis; D010496:Pericardium / Q000000981:diagnostic imaging*; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D012737:Sex Factors