Usefulness of Estimated Pulse Wave Velocity in Prediction of Cardiovascular Mortality in Patients With Acute

Po-Chao Hsu1, Wen-Hsien Lee2, Wei-Chung Tsai1

  • 1Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Insights

Estimated pulse wave velocity (ePWV) can predict long-term cardiovascular mortality in acute myocardial infarction (AMI) patients. This simple calculation offers a valuable tool for assessing arterial stiffness and predicting outcomes post-AMI.

Area of Science:

  • Cardiology
  • Vascular Medicine
  • Biomedical Engineering

Background:

  • Pulse wave velocity (PWV) is a key indicator of arterial stiffness and cardiovascular outcome.
  • Estimated PWV (ePWV), derived from age and blood pressure, also predicts cardiovascular outcomes.
  • The utility of ePWV in acute myocardial infarction (AMI) patients for predicting long-term mortality remained unevaluated.

Purpose of the Study:

  • To assess the predictive value of ePWV for long-term cardiovascular and overall mortality in AMI patients.
  • To determine if ePWV is a useful, accessible tool for risk stratification in AMI survivors.

Main Methods:

  • 187 patients admitted with AMI were enrolled.
  • ePWV was calculated for each patient using established equations.
  • Patients were followed for a median of 73 months to track mortality events.

Main Results:

  • ePWV independently predicted both cardiovascular (CV) and overall mortality in univariable analysis.
  • After multivariable adjustment, ePWV remained a significant independent predictor of long-term CV mortality.
  • 35 CV deaths and 125 overall deaths were recorded during follow-up.

Conclusions:

  • This study is the first to evaluate ePWV in AMI patients for predicting long-term mortality.
  • ePWV is a simple, easily calculable tool that independently predicts long-term CV mortality in AMI patients.
  • ePWV serves as a valuable method for assessing arterial stiffness and predicting CV outcomes in AMI patients without specialized equipment.
Abstract

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