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Published on: June 5, 2019

Study on the correlation between ventricular arrhythmia and heart rate variability in patients with coronary heart

Xin Guan1, Zhiyue Jia1, Bing Yang1

  • 1Electrocardiogram Room, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.

Frontiers in Cardiovascular Medicine
|July 30, 2026
PubMed

Insights

Heart rate variability (HRV) indices like SDANN, rMSSD, and PNN50 are lower in coronary heart disease (CHD) patients with ventricular arrhythmia (VA). These HRV metrics are significantly associated with VA occurrence, aiding risk assessment.

Area of Science:

  • Cardiology
  • Medical Technology
  • Biomedical Engineering

Background:

  • Ventricular arrhythmia (VA) is a frequent complication in patients diagnosed with coronary heart disease (CHD).
  • Heart rate variability (HRV) is recognized as a potential biomarker for assessing VA risk.
  • Understanding the relationship between HRV and VA is crucial for improving patient outcomes in CHD.

Purpose of the Study:

  • To investigate the correlation between heart rate variability (HRV) parameters and the occurrence of ventricular arrhythmia (VA) in patients with coronary heart disease (CHD).
  • To identify specific HRV indices that can serve as predictive markers for VA in this patient population.

Main Methods:

  • A cohort of coronary heart disease (CHD) patients was divided into ventricular arrhythmia (VA) and control groups based on VA presence.
  • Twenty-four-hour dynamic electrocardiogram monitoring was employed to measure HRV indices, including SDNN, SDANN, rMSSD, and PNN50.
  • Linear regression analysis was utilized to determine the association between HRV parameters and VA occurrence.

Main Results:

  • Significantly lower levels of HRV indices (SDNN, SDANN, rMSSD, PNN50) were observed in the VA group compared to the control group (P < 0.05).
  • Linear regression analysis confirmed a significant association between SDANN, rMSSD, and PNN50 and the occurrence of VA (P < 0.05).

Conclusions:

  • Specific HRV indices, namely SDANN, rMSSD, and PNN50, demonstrate a significant association with VA occurrence in CHD patients.
  • These HRV parameters hold potential as valuable indicators for risk stratification of ventricular arrhythmia in patients with coronary heart disease.
Abstract

Keywords:
coronary heart diseaseelectrocardiogramheart ratelinear regressionrisk factorventricular arrhythmia

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