Weight change modulates epicardial fat burden: a 4-year serial study with non-contrast computed tomography - PubMed (original) (raw)

. 2012 Jan;220(1):139-44.

doi: 10.1016/j.atherosclerosis.2011.10.014. Epub 2011 Oct 20.

Ronak Rajani, Victor Y Cheng, Haim Shmilovich, Rine Nakanishi, Yuka Otaki, Heidi Gransar, Piotr J Slomka, Sean W Hayes, Louise E J Thomson, John D Friedman, Nathan D Wong, Leslee J Shaw, Matthew Budoff, Alan Rozanski, Daniel S Berman, Damini Dey

Affiliations

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

Ryo Nakazato et al. Atherosclerosis. 2012 Jan.

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.

Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest statement

All authors disclose no conflict of interest.

Figures

Figure 1

Figure 1

Relationship between baseline EFV and baseline weight (a), BMI (b) and waist circumference (c). Relationship between percentage EFV change and percentage weight (d), BMI (e) and waist circumference change (f). EFV, epicardial fat volume.

Figure 2

Figure 2

Scatter plot comparing the percentage EFV change among subjects with >5% weight loss, maintained weight and >5% weight gain.

References

    1. Mazurek T, Zhang L, Zalewski A, et al. Human epicardial adipose tissue is a source of inflammatory mediators. Circulation. 2003;108:2460–2466. -PubMed
    1. Pou KM, Massaro JM, Hoffmann U, et al. Visceral and subcutaneous adipose tissue volumes are cross-sectionally related to markers of inflammation and oxidative stress: the Framingham Heart Study. Circulation. 2007;116:1234–1241. -PubMed
    1. Rosito GA, Massaro JM, Hoffmann U, et al. Pericardial fat, visceral abdominal fat, cardiovascular disease risk factors, and vascular calcification in a community-based sample: the Framingham Heart Study. Circulation. 2008;117:605–613. -PubMed
    1. Greif M, Becker A, von Ziegler F, et al. Pericardial adipose tissue determined by dual source CT is a risk factor for coronary atherosclerosis. Arterioscler Thromb Vasc Biol. 2009;29:781–786. -PubMed
    1. Ding J, Kritchevsky SB, Harris TB, et al. The association of pericardial fat with calcified coronary plaque. Obesity (Silver Spring) 2008;16:1914–1919. -PMC -PubMed

Publication types

MeSH terms

LinkOut - more resources