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Published on: June 10, 2025
[Prognostic significance of cardiac rhythm variability in patients with chronic heart failure]
Insights
Heart rhythm variability (HRV) can predict chronic heart failure (CCF) outcomes. Low heart rhythm variability (LF) is linked to higher risks of CCF decompensation, repeated heart attacks, and death in CCF patients.
Area of Science:
- Cardiology
- Medical Prognostics
- Heart Failure Research
Background:
- Prognosis for chronic heart failure (CCF) presents significant clinical challenges.
- The role of heart rhythm variability (HRV) in the pathogenesis of CCF remains poorly understood.
Purpose of the Study:
- To evaluate the potential of using HRV for predicting the prognosis of CCF.
- To investigate the association between HRV parameters and adverse cardiovascular events in CCF patients.
Main Methods:
- HRV analysis was performed using 5-minute recordings in 110 patients with CCF post-myocardial infarction.
- Patients were stratified into two groups based on the median low-frequency (LF) component of the HRV spectrum (5.2 ln ms²).
- Kaplan-Meier survival analysis was used to compare outcomes between the groups.
Main Results:
- A low-frequency (LF) component below 5.2 ln ms² was associated with increased risks of CCF decompensation (p=0.03), secondary myocardial infarction (p=0.007), and mortality (p=0.03).
- The LF component showed an inverse relationship with age, heart rate, NT-proBNP, CRP, and left ventricular ejection fraction.
- LF < 5.2 ln ms² was identified as an independent risk factor for adverse outcomes in CCF.
Conclusions:
- Low heart rhythm variability, specifically a low-frequency component below 5.2 ln ms², is a significant independent risk factor for poor prognosis in chronic heart failure patients.
- HRV analysis, particularly the LF component, offers a valuable tool for risk stratification and prognosis in patients with chronic heart failure.
- Further research into HRV mechanisms in CCF pathogenesis is warranted.
Abstract:
Prognosis of chronic heart failure (CCF) is a challenging clinical problem. The role of heart rhythm variability (HRV) in CCF pathogensis is poorly known. This study was aimed at estimating the possibility of using HRV for prognosis of CCF. It included 110 patients (mean age 55.1 +/- 6.4 yr) with CCF symptoms after myocardial infarction. HRV analysis was based on 5 minute records. During the first year; 44 patients developed cardiovascular complications, 20 aggravation of CCF 5 unstable angina, 7 repeated infarction, 9 died. The low-frequency component (LF) of the spectrum was inversely related to age, HR, NT-proBNP, CRP and left ventricular election fraction. Based on the low-frequency component median, the patients were allocated to 2 groups (less than 5.2 ln ms2 and 5.2 ln ms2 or more). Comparison of survival curves by the Kaplan-Meier method showed that at LF < 5.2 ln ms2 the probability of CCF decompensation (p = 0.03), secondary infarction (p = 0.007), lethal outcome (p = 0.03) is significantly higher than at LF of 5.2 ln ms2 or more. It means that LF < 5.2 ln ms is an independent risk factor of CCF decompensation, repeated myocardial infarction, amd lethal outcome.
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