Correlation of Aortic Elasticity Indices with the Severity of Coronary Artery Disease

Parvathareddy Krishna Mala Konda Reddy1, Konda Bharath2, Nagula Praveen2

  • 1Department of Cardiology, Osmania General Hospital, Hyderabad, Telangana, India.

PubMed

Insights

Aortic distensibility (AD) is a reliable indicator for assessing coronary artery disease (CAD) severity. Lower AD predicts more severe CAD, aiding in risk stratification and treatment decisions for patients with this condition.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Medical Imaging

Background:

  • Coronary artery disease (CAD) is a leading cause of death globally.
  • Aortic elasticity indices (AEI) show promise in evaluating CAD risk.
  • This study investigates the link between AEI and CAD severity.

Purpose of the Study:

  • To explore the association between aortic elasticity indices (AEI) and coronary artery disease (CAD) severity.
  • To determine if AEI can predict the extent and complexity of CAD.
  • To identify the most reliable AEI for CAD assessment.

Main Methods:

  • 100 individuals with suspected CAD underwent coronary angiography.
  • Participants were grouped based on CAD severity (normal/insignificant vs. significant).
  • Aortic distensibility (AD) and aortic strain were measured using echocardiography and correlated with the modified Gensini score (mGS).

Main Results:

  • Patients with significant CAD had lower aortic distensibility (AD) and aortic strain compared to those without.
  • AD was significantly lower in patients with significant CAD (P=0.03).
  • Aortic strain was also significantly lower in patients with significant CAD (P=0.04).
  • AD emerged as the strongest predictor of CAD severity and complexity, especially for intermediate-high mGS tertiles.

Conclusions:

  • Aortic distensibility (AD) is the most reliable AEI for assessing CAD severity.
  • Integrating AEI into clinical practice can improve risk stratification for CAD patients.
  • These findings may lead to better treatment decisions and improved patient outcomes.
Abstract

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