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Compared with global cardiac adiposity, the local accumulation of fat surrounding coronary arteries might have a more direct impact on coronary artery disease (CAD). Here, we compared the local epicardial adipose tissue (EAT) thickness and global cardiac adiposity volumes for predicting CAD.Methods and Results:A total of 197 consecutive subjects underwent 320-slice multi-detector computed tomography coronary angiography and were segregated into CAD (≥1 coronary artery branch stenosis ≥50%) and non-CAD groups. EAT thickness was measured at the right coronary artery (EAT RCA ), the left anterior descending artery (EAT LAD ), and the left circumflex artery (EAT LCX ). Although EAT RCA and EAT LCX were similar between the 2 groups, EAT LAD was larger in the CAD group than in the non-CAD group (5.45±2.16 mm vs. 6.86±2.19 mm, P&lt;0.001). EAT LAD , after correcting for confounding factors, was strongly associated with CAD (r=0.276, P&lt;0.001) and Gensini score (r=0.239, P&lt;0.001). On multiple regression analysis, Framingham risk score combined with EAT LAD was a strong predictor of CAD (adjusted R 2 =0.121; P&lt;0.001).

circulation journal

Local Thickness of Epicardial Adipose Tissue Surrounding the Left Anterior Descending Artery Is a Simple Predictor of Coronary Artery Disease ― New Prediction Model in Combination With Framingham Risk Score ―