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Prognostic significance of heart rate variability in dilated cardiomyopathy

Maciej Karcz1, Lidia Chojnowska, Wojciech Zareba

  • 1National Institute of Cardiology, ul. Alpejska 42, 04-628 Warsaw, Poland. alicjakarcz@poczta.onet.pl

International Journal of Cardiology
|December 7, 2002
PubMed

Insights

Heart rate variability (HRV) analysis, specifically the standard deviation of normal-to-normal intervals (SDNN), can predict cardiac events in dilated cardiomyopathy (DCM) patients. Low SDNN identifies high-risk individuals, aiding in clinical evaluation and heart transplant prioritization.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Clinical Trials

Background:

  • Identifying high-risk patients with nonischemic dilated cardiomyopathy (DCM) remains a clinical challenge.
  • Left ventricular function is a key factor, but further prognostic markers are needed.

Purpose of the Study:

  • To investigate the prognostic significance of heart rate variability (HRV) in predicting cardiac events in DCM patients.
  • To assess HRV's role in risk stratification for patients with depressed left ventricular function.

Main Methods:

  • A cohort of 69 DCM patients in sinus rhythm underwent 24-h digital Holter monitoring.
  • Baseline time-domain HRV parameters, including standard deviation of normal-to-normal intervals (SDNN), were analyzed.
  • Cardiac events (death or heart transplantation) were recorded over a mean 20-month follow-up.

Main Results:

  • 18 (26%) patients experienced cardiac events.
  • SDNN and ejection fraction were significant independent predictors of cardiac events in multivariate analysis.
  • One-year event-free survival was significantly lower for patients with SDNN < 80 ms (35%) compared to those with SDNN >= 80 ms (89%).

Conclusions:

  • Time-domain HRV analysis provides independent prognostic information for DCM patients.
  • Incorporating HRV into routine clinical evaluation can improve risk stratification and prioritize patients for heart transplantation.
Abstract

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