title: Weight change modulates epicardial fat burden: a 4-year serial study with non-contrast computed tomography.
abstract: BACKGROUND
  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.
authors: Departments of Imaging (Division of Nuclear Medicine), Medicine (Division of Cardiology), and the Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
authors: Ryo
authors: R
authors: Nakazato
authors: Ronak
authors: R
authors: Rajani
authors: Victor Y
authors: VY
authors: Cheng
authors: Haim
authors: H
authors: Shmilovich
authors: Rine
authors: R
authors: Nakanishi
authors: Yuka
authors: Y
authors: Otaki
authors: Heidi
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authors: Gransar
authors: Piotr J
authors: PJ
authors: Slomka
authors: Sean W
authors: SW
authors: Hayes
authors: Louise E J
authors: LE
authors: Thomson
authors: John D
authors: JD
authors: Friedman
authors: Nathan D
authors: ND
authors: Wong
authors: Leslee J
authors: LJ
authors: Shaw
authors: Matthew
authors: M
authors: Budoff
authors: Alan
authors: A
authors: Rozanski
authors: Daniel S
authors: DS
authors: Berman
authors: Damini
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authors: Dey
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D015992:Body Mass Index; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010496:Pericardium / Q000000981:diagnostic imaging*; D011857:Radiographic Image Interpretation, Computer-Assisted; D012042:Registries; D013997:Time Factors; D014057:Tomography, X-Ray Computed; D014481:United States; D055105:Waist Circumference; D015430:Weight Gain; D015431:Weight Loss