Publication

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

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Last modified
  • 05/15/2025
Type of Material
Authors
    Ryo Nakazato, Cedars Sinai Medical CenterRonak Rajani, Cedars Sinai Medical CenterVictor Y. Cheng, Cedars Sinai Medical CenterHaim Shmilovich, Cedars Sinai Medical CenterRine Nakanishi, Cedars Sinai Medical CenterYuka Otaki, Cedars Sinai Medical CenterHeidi Gransar, Cedars Sinai Medical CenterPiotr J. Slomka, Cedars Sinai Medical CenterSean W. Hayes, Cedars Sinai Medical CenterLouise E. J. Thomson, Cedars Sinai Medical CenterJohn D. Friedman, Cedars Sinai Medical CenterNathan D. Wong, University of California IrvineLeslee J Shaw, Emory UniversityMatthew Budoff, Los Angeles Biomedical Research InstituteAlan Rozanski, St. Lukes Roosevelt HospitalDaniel S. Berman, Cedars Sinai Medical CenterDamini Dey, Cedars Sinai Medical Center
Language
  • English
Date
  • 2012-01-01
Publisher
  • Elsevier: 12 months
Publication Version
Copyright Statement
  • © 2011 Elsevier Ireland Ltd.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0021-9150
Volume
  • 220
Issue
  • 1
Start Page
  • 139
End Page
  • 144
Grant/Funding Information
  • The EISNER study was partially supported by the NIH NCRR GCRC grant (M01-RR00425).
  • This work was partly supported by a grant from the Eisner, Glazer, and Lincy Foundations (to Dr. Berman), the National Institute of Biomedical Imaging and Bioengineering (R21EB006829 to Dr. Dey).
  • Dr. Ronak Rajani was an advanced imaging fellow and was supported by the British Cardiac Society and the American College of Cardiology.
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.
Author Notes
  • Address for correspondence Damini Dey, PhD, Departments of Imaging (Division of Nuclear Medicine) and Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Taper Building Room A238, Los Angeles, CA 90048, USA, Phone: +1-310-423-1517, Fax: +1-310-423-8396 deyd@cshs.org
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Health Sciences, Nutrition

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