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.
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.
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