BACKGROUND AND AIM: Epicardial adipose tissue (EAT), which is thought to be a component of visceral adiposity, is associated with the metabolic syndrome. We aimed to test the hypothesis that echocardiographic EAT thickness can be a marker for the presence and severity of coronary artery disease (CAD). METHOD AND RESULTS: In all, 150 patients (100 patients with CAD and 50 patients with normal coronary arteries by diagnostic coronary angiography; 65 women, 85 men; mean age 55.7+/-7.4 years) were enrolled. EAT thickness was measured using 2-D echocardiographic parasternal long- and short-axis views. EAT thickness measurements were compared with angiographic findings. EAT thickness was significantly higher in patients with CAD in comparison to those with normal coronary arteries (6.9+/-1.5 mm vs. 4.4+/-0.8 mm; P<0.001). Furthermore, EAT thickness increased with the severity of CAD (multivessel disease 7.4+/-1.2 mm vs. single vessel disease 5.7+/-1.7 mm; P<0.001). Gensini's score significantly correlated with EAT thickness (r=0.600, P<0.001). EAT thickness of > or = 5.2 mm had 85% sensitivity and 81% specificity (ROC area 0.914, P<0.001, 95% CI [0.86-0.96]) for predicting CAD. CONCLUSION: EAT thickness, which is easily and non-invasively evaluated by transthoracic echocardiography, can be an adjunctive marker to classical risk factors for the prediction of CAD.
BACKGROUND AND AIM: Epicardial adipose tissue (EAT), which is thought to be a component of visceral adiposity, is associated with the metabolic syndrome. We aimed to test the hypothesis that echocardiographic EAT thickness can be a marker for the presence and severity of coronary artery disease (CAD). METHOD AND RESULTS: In all, 150 patients (100 patients with CAD and 50 patients with normal coronary arteries by diagnostic coronary angiography; 65 women, 85 men; mean age 55.7+/-7.4 years) were enrolled. EAT thickness was measured using 2-D echocardiographic parasternal long- and short-axis views. EAT thickness measurements were compared with angiographic findings. EAT thickness was significantly higher in patients with CAD in comparison to those with normal coronary arteries (6.9+/-1.5 mm vs. 4.4+/-0.8 mm; P<0.001). Furthermore, EAT thickness increased with the severity of CAD (multivessel disease 7.4+/-1.2 mm vs. single vessel disease 5.7+/-1.7 mm; P<0.001). Gensini's score significantly correlated with EAT thickness (r=0.600, P<0.001). EAT thickness of > or = 5.2 mm had 85% sensitivity and 81% specificity (ROC area 0.914, P<0.001, 95% CI [0.86-0.96]) for predicting CAD. CONCLUSION: EAT thickness, which is easily and non-invasively evaluated by transthoracic echocardiography, can be an adjunctive marker to classical risk factors for the prediction of CAD.
Authors: Damien I Sequeira; Lars C Ebert; Patricia M Flach; Thomas D Ruder; Michael J Thali; Garyfalia Ampanozi Journal: Forensic Sci Med Pathol Date: 2015-02-25 Impact factor: 2.007