• Fereshteh Ghaderi, Shabnam Niroomand, Hoorak Poorzand, Hedieh Alimi, Laila Bigdelu, Afsoon Fazlinezhad, and Faeze Keihanian.
• Cardiovascular Department, Echocardiography Laboratory, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran.
• Medicine (Baltimore). 2023 Jul 21; 102 (29): e34243e34243.

IntroductionCoronary 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 MethodsRelevant 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.ResultsEventually, 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, I2: 84%, Q: 19.03). The diagnostic value of APV in predicting CAD showed 86.3% sensitivity (95% CI: 74-91, P value < .001, I2: 65%, Q: 8.53, P value: .03) and 83.8% specificity (95% CI: 69-94, P value < .001, I2: 60%, Q: 9.89, P value: .01).ConclusionThere 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.Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.

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