Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals.

J Thorac Imaging

*Department of Cardiology, Cardiac Imaging, Prince Sultan Cardiac Center, Qassim PSCCQ †Mathematics Department, College of Science, Qassim University, Buraydah, Saudi Arabia ‡Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.

Published: November 2017

AI Article Synopsis

  • Excessive epicardial adipose tissue (EAT) is linked to coronary artery disease (CAD), but its density and volume's relationship with CAD needs more investigation.
  • A study analyzed CT scans from 609 patients to measure EAT volume and density, assessing the correlation with coronary artery calcification (CAC), which is considered a sign of subclinical CAD.
  • Results indicated that higher EAT volume and lower density were significantly associated with the presence of CAC, suggesting that both the quality and quantity of EAT can predict subclinical CAD risks.

Article Abstract

Purpose: Excessive quantity of epicardial adipose tissue (EAT) is considered a risk factor for coronary artery disease (CAD). There are limited data, however, on the relationship between the quality of EAT and CAD. We investigated the association between the density and volume of EAT and subclinical CAD defined by positive coronary artery calcification (CAC), using computed tomography (CT).

Materials And Methods: We reviewed 609 consecutive CT scans of patients with a mild to moderate risk for CAD to assess the EAT volume, which was measured manually by tracing the parietal pericardial sac on axial images. Fat density was recorded in mean Hounsfield units (HU), and CAC was measured using the Agatston method.

Results: The mean patients' age was 50±11 years, and 393 (64.5%) were men. Overall, CAC was present in 135 (22%) patients, of whom 97 (72%) were men and 38 (28%) were women. The mean EAT volume and density were 65±27 cm and -87.0±3.4 HU, respectively. Patients with CAC had significantly higher EAT volume (74±27 vs. 62±26 cm, P<0.001) and lower EAT density (-88±3 vs. -87±3.4 HU, P<0.001) compared with patients without CAC. Multivariate regression analysis showed that both EAT density (hazard ratio, 0.879; 95% confidence interval, 0.817-0.946; P=0.001) and EAT volume >100 cm (hazard ratio, 1.693; 95% confidence interval, 1.256-2.999; P=0.029) predicted the presence of CAC.

Conclusions: Both the quality and quantity of EAT derived from noncontrast CT scan predict subclinical CAD, with lower density and higher volume of epicardial fat associated with higher CACs.

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http://dx.doi.org/10.1097/RTI.0000000000000296DOI Listing

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