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Heart rate variability enhances the prognostic value of established parameters in patients with congestive heart
1Department of Cardiology, University of Heidelberg, Germany. carstenkrueger@web.de
Insights
Heart rate variability (HRV) measured by Holter ECG offers significant prognostic value for congestive heart failure (CHF) patients. This assessment improves risk stratification beyond traditional LVEF and peak VO(2) measures.
Area of Science:
- Cardiology
- Medical Technology
- Prognostics
Background:
- Congestive heart failure (CHF) poses a significant mortality risk.
- Established prognostic markers include left ventricular ejection fraction (LVEF) and peak oxygen uptake (peak VO(2)).
- The prognostic utility of heart rate variability (HRV) in CHF patients requires further evaluation.
Purpose of the Study:
- To assess the prognostic value of HRV in patients with CHF.
- To determine if HRV provides additional predictive information beyond LVEF and peak VO(2).
- To enhance risk stratification for cardiac mortality or CHF deterioration.
Main Methods:
- Prospective study of 222 CHF patients with dilated or ischemic cardiomyopathy.
- Holter ECG monitoring to assess HRV, specifically SDNN (standard deviation of all intervals between normal beats).
- Follow-up for a mean of 15 months to record mortality and CHF hospitalizations.
Main Results:
- Lower SDNN, LVEF, and peak VO(2) were observed in patients who died or were hospitalized for CHF.
- SDNN was significantly lower in non-survivors/hospitalized patients (118+/-6 ms) compared to event-free patients (142+/-5 ms).
- Multivariate analysis confirmed HRV provides independent and additional prognostic information for cardiac events.
Conclusions:
- HRV determination enhances the prognostic power of LVEF and peak VO(2) in predicting CHF mortality or deterioration.
- HRV assessment can improve risk stratification in patients with congestive heart failure.
- Holter ECG-derived HRV is a valuable tool for CHF patient management.
Abstract:
This prospective study evaluated whether heart rate variability (HRV) assessed from Holter ECG has prognostic value in addition to established parameters in patients with congestive heart failure (CHF). The study included 222 patients with CHF due to dilated or ischemic cardiomyopathy (left ventricular ejection fraction LVEF 21+/-1%; mean+/-SEM). During a mean follow-up of 15+/-1 months, 38 (17%) patients died and 45 (20%) were hospitalized due to worsening of CHF. The HRV parameter SDNN (standard deviation of all intervals between normal beats) was significantly lower in non-surviving or hospitalized than in event-free patients (118+/-6 vs 142+/-5 ms), as were LVEF (18+/-1 vs 23+/-1%), and peak oxygen uptake during exercise (peak VO(2)) (12.8+/-0.5 vs 15.6+/-0.5 ml/min/kg). While each of these parameters was a risk predictor in univariate analysis, multivariate analysis revealed that HRV provides both independent and additional prognostic information with respect to the risk 'cardiac mortality or deterioration of CHF'. It is concluded that the determination of HRV enhances the prognostic power given by the most widely used parameters LVEF and peak VO(2) in the prediction of mortality or deterioration of CHF and thus enables to improve risk stratification.