Aortic Elasticity Indices as Predictors of Coronary Artery Disease Severity Assessed by SYNTAX Score

Background: Aortic elastic properties have been related to coronary artery disease (CAD) morbidity and mortality. We aimed to assess the relation of aortic elasticity indices to the severity and complexity of CAD assessed using the SYNTAX Score (SS), evaluating which of these indices have better predictivity for CAD severity. Materials and Methods: We prospectively enrolled 150 individuals who underwent elective coronary angiography for suspected CAD, out of them 29 (19.3%) had normal or nonsignificant angiographic findings (Group I), whereas 121 (80.7%) had significant CAD (Group II) for whom the SS was calculated. Echo-derived aortic elasticity indices were performed for all patients. Results: Logistic regression analyses showed that each of aortic distensibility, stiffness index, elastic modulus, aortic strain, and aortic peak early diastolic velocity were predictors for significant CAD and further for more complex CAD as indicated by intermediate-high SS. Receiver operator characteristic curves-derived cutoff points were performed for each of the aortic elasticity indices. Along with diabetes, decreased aortic strain ≤10.2% was the only independent predictor of intermediate-high SS (odds ratio = 4.31, 95% confidence interval = 1.38–13.50, P = 0.01). Conclusion: Simple M-mode derived aortic elasticity indices, particularly aortic strain ≤10.2%, might predict patients with more severe and complex CAD.