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Prognostic value of heart rate variability in time domain analysis in congestive heart failure

S Boveda1, M Galinier, A Pathak

  • 1Department of Cardiology, Rangueil University Hospital, Toulouse, France. boveda.s@chu-toulouse.fr

Insights

Reduced heart rate variability (HRV) is a significant predictor of mortality in patients with chronic heart failure (CHF). This noninvasive measure offers valuable prognostic information for managing CHF patients.

Area of Science:

  • Cardiology
  • Autonomic Nervous System Function
  • Heart Failure Research

Background:

  • Heart rate variability (HRV) analysis is a noninvasive method to assess cardiac autonomic control.
  • Disturbances in HRV are frequently observed in patients diagnosed with chronic heart failure (CHF).

Purpose of the Study:

  • To evaluate the prognostic significance of time-domain heart rate variability measures in patients with CHF.
  • To determine if HRV can predict mortality risk in individuals with chronic heart failure.

Main Methods:

  • Prospective study including 190 CHF patients in sinus rhythm.
  • Collected 24-hour Holter ECG recordings to measure time-domain HRV parameters.
  • Follow-up period of 22 months to track all-cause mortality.

Main Results:

  • Independent predictors of all-cause mortality identified: ischemic heart disease, cardiothoracic ratio >= 60%, and standard deviation of normal-to-normal intervals (SDNN) < 67 ms.
  • SDNN < 67 ms was associated with a 2.5-fold increased risk of mortality (95% CI 1.5-4.2).

Conclusions:

  • Depressed heart rate variability demonstrates independent prognostic value in patients with chronic heart failure.
  • HRV parameters, specifically SDNN, can aid in risk stratification for mortality in CHF populations.
Abstract

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