Publication
Weight change modulates epicardial fat burden: A 4-year serial study with non-contrast computed tomography
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- Persistent URL
- Last modified
- 05/15/2025
- Type of Material
- Authors
- 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
- Keywords
- DISEASE
- Life Sciences & Biomedicine
- ATHEROSCLEROSIS
- RISK-FACTORS
- Science & Technology
- Weight loss
- Epicardial fat volume
- NONCONTRAST CT
- PERICARDIAL FAT
- Adipose tissue
- QUANTIFICATION
- Cardiovascular System & Cardiology
- Cardiac & Cardiovascular Systems
- CALCIUM
- VISCERAL ABDOMINAL FAT
- ASSOCIATION
- ADIPOSE-TISSUE
- Weight
- Peripheral Vascular Disease
- Research Categories
- Health Sciences, Medicine and Surgery
- Health Sciences, Nutrition
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