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

Fereshteh Ghaderi1, Shabnam Niroomand2, Hoorak Poorzand1

  • 1Cardiovascular Department, Echocardiography Laboratory, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran.

Medicine
|July 21, 2023
PubMed

Insights

Aortic propagation velocity (APV) is a novel echocardiographic index that can predict coronary artery disease (CAD). This meta-analysis found APV has suitable sensitivity and specificity for screening CAD.

Area of Science:

  • Cardiovascular Medicine
  • Diagnostic Imaging

Background:

  • Coronary artery disease (CAD) remains a leading cause of mortality and morbidity.
  • Aortic propagation velocity (APV) is a novel echocardiographic index for CAD risk stratification.

Approach:

  • A meta-analysis was conducted by systematically searching major electronic databases.
  • Five studies involving 490 patients were included to evaluate the predictive role of APV in CAD.
  • Comprehensive Meta-analysis 2.0 software was utilized for data synthesis.

Key Points:

  • Pooled findings revealed significantly higher APV in the non-CAD group compared to the CAD group (SMD: 2.39).
  • APV demonstrated a diagnostic sensitivity of 86.3% and specificity of 83.8% for predicting CAD.
  • Significant differences in aortic distensibility and strain were observed between CAD and non-CAD patients.

Conclusions:

  • APV shows predictive value for CAD with appropriate sensitivity and specificity.
  • Aortic propagation velocity can serve as a valuable noninvasive tool for CAD screening.
Abstract

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