Aortic propagation velocity in predicting coronary artery disease: A systematic review and meta-analysis

Introduction:Coronary artery disease (CAD) and its outcome, myocardial infarction, is yet a significant etiology of mortality and morbidity nowadays. The aortic propagation velocity (APV) can be a simple, straightforward and novel echocardiographic index for the risk stratification in the evaluation of CAD. In this meta-analysis, we evaluated the predictive role of APV in CAD. Material and methods:Relevant electronic bibliographies (PubMed, ScienceDirect, Scopus, EMbase, the Cochrane library) were explored. Related reports were selected according to the inclusion and exclusion criteria. Meta-analysis was performed using the Comprehensive Meta-analysis 2.0 software. Results:Eventually, 5 articles met the inclusion criteria and included in the meta-analysis. Five studies with 490 patients reported the APV mean in CAD and non-CAD groups. A random-effect model was used and the pooled findings demonstrated a significant higher APV in non-CAD group compared to CAD group (SMD: 2.39, 95% CI: 1.70-3.07, P < .001, I-2: 84%, Q: 19.03). The diagnostic value of APV in predicting CAD showed 86.3% sensitivity (95% CI: 74-91, P value < .001, I-2: 65%, Q: 8.53, P value: .03) and 83.8% specificity (95% CI: 69-94, P value < .001, I-2: 60%, Q: 9.89, P value: .01). Conclusion:There was a predictive role of APV in CAD with suitable specificity and sensitivity. Moreover, aortic distensibility and aortic strain were significantly different in CAD and non-CAD patients. APV could be used as a good noninvasive tool for screening CAD.