Additive Value of Heart Rate Variability in Predicting Obstructive Coronary Artery Disease Beyond Framingham Risk

Hsin-Ru Li1, Tse-Min Lu, Hao-Min Cheng

  • 1Department of Medicine, Shuang Ho Hospital, Taipei Medical University.

Insights

Reduced heart rate variability (HRV) predicts coronary artery disease (CAD) in stable angina patients, independent of traditional risk factors. HRV may be most relevant for individuals with high cardiovascular risk or diabetes.

Area of Science:

  • Cardiology
  • Medical Diagnostics

Background:

  • Heart rate variability (HRV) is often diminished in patients diagnosed with coronary artery disease (CAD).
  • Investigated the predictive capability of reduced HRV for angiographic CAD in stable angina patients, beyond established Framingham risk factors.

Purpose of the Study:

  • To determine if reduced HRV is an independent predictor of angiographic CAD in patients with stable angina.
  • To assess the added value of HRV in predicting CAD compared to the Framingham risk score.

Main Methods:

  • Enrolled 514 patients with stable angina, performing 24-hour Holter ECG before coronary angiography.
  • Analyzed HRV in both frequency (VLF, LF, HF, total power) and time domains (SDNN, SDANN, RMSSD, pNN20).
  • Defined angiographic CAD as ≥ 50% diameter reduction in coronary arteries.

Main Results:

  • 203 patients (39.6%) had angiographic CAD, with higher Framingham risk and lower HRV in this group.
  • Reduced HRV indices (LF, HF, SDNN, RMSSD, pNN20) remained significant predictors of CAD after adjusting for clinical variables and Framingham risk.
  • HRV was predictive of CAD primarily in patients with high Framingham risk or diabetes.

Conclusions:

  • Diminished HRV is a significant predictor of CAD in stable angina patients, independent of conventional risk factors.
  • The predictive utility of HRV appears most pronounced in individuals with high Framingham risk scores or diabetes mellitus.
Abstract

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