Relation of systolic and diastolic epicardial adipose tissue thickness with presence and severity of coronary artery disease (The EAT CAD study)

Abstract

Background: Recent studies have shown EAT to be an indicator of cardiovascular risk and atherosclerotic plaque development. However, such data is sparse from Indian sub-continent. The present study evaluated the relationship of EAT as determined by echocardiography to the presence and severity of coronary artery disease (CAD). Materials and Methods: This was a cross-sectional observational study constituting 500 patients including 250 with angiographically normal coronary arteries (non-CAD group), and 250 patients with significant CAD on coronary angiogram (CAD group). CAD severity was assessed by Gensini and SYNTAX scores. Results: The mean systolic and diastolic EAT thickness in the CAD group (5.7 ± 1.5 mm and 4.3 ± 1.1 mm) were significantly higher than the non-CAD group (4.2 ± 1.2 mm and 3.2 ± 1.2 mm), both P < 0.001. EAT thickness showed a significant positive correlation with waist circumference, LDL-C levels, Gensini score, and SYNTAX score. On multivariate logistic regression analysis, both systolic and diastolic EAT thickness were found to be independent predictor of CAD in addition traditional risk factors. Receiver operating characteristics (ROC) analysis showed that systolic EAT thickness of 5 mm and diastolic EAT thickness of 4 mm had similar sensitivity (85% vs 83%, respectively) and specificity (70% vs 72%, respectively) to detect presence of CAD. Conclusion: Systolic and diastolic EAT thicknesses are increased in CAD patients and related to both presence and severity of CAD. EAT, being modifiable, may be an attractive target for future interventions to reduce CV risk and has potential to monitor the response to life-style modification and therapy. However, larger and prospective studies required to validate these findings.

Keywords

• Coronary artery disease
• echocardiography
• epicardial fat
• Gensini score
• syntax score