Aortic pulse wave velocity and its relationship with complexity of coronary artery disease based on SYNTAX score

R Ranjith1, T G Binu1, Vijo George1

  • 1Department of Cardiology , Govt TD Medical College Alappuzha , Alappuzha, Kerala , India.

Heart Asia
|June 22, 2016
PubMed

Insights

Aortic pulse wave velocity (APWV) predicts coronary artery disease (CAD) complexity. Higher APWV indicates more severe CAD, suggesting it’s a valuable tool for assessing atherosclerosis progression.

Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Aortic pulse wave velocity (APWV) is a validated marker for arterial stiffness and predictor of cardiovascular events.
  • Echo Doppler measurement of APWV offers a simple, accessible alternative to complex imaging modalities.
  • The relationship between APWV and coronary artery disease (CAD) complexity remained unexplored.

Purpose of the Study:

  • To investigate the correlation between APWV measurements and the severity of coronary artery disease (CAD).
  • To assess if APWV can predict the complexity of CAD, as quantified by SYNTAX (SX) scores.

Main Methods:

  • A study cohort of 500 patients undergoing APWV measurement and coronary angiography was analyzed.
  • APWV was calculated using pulsed Doppler ultrasound with ECG synchronization.
  • SYNTAX scores were determined by blinded observers to APWV values.

Main Results:

  • A significant, nearly linear correlation was found between APWV and the advancement of CAD (p<0.0001).
  • Patients with multi-vessel CAD exhibited significantly higher APWV compared to those without CAD.
  • Elevated APWV values (>11.5 m/s) were identified as a predictor for the presence of CAD.

Conclusions:

  • APWV demonstrates predictive value for SYNTAX scores, indicating its utility in assessing CAD complexity.
  • A positive association exists between aortic stiffening and coronary atherosclerosis.
  • 2D Doppler-derived APWV is an effective predictor of advancing coronary artery disease.
Abstract

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