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September 10, 2025

Heart Rate Variability's Value in Predicting Out-of-Hospital Major Adverse Cardiovascular Events in Patients With Chronic Heart Failure.

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Authors

LMLi MenBCBingxin ChenLYLong Yang

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Overview

Prospective cohort study identifies predictive value of heart rate variability parameters for MACEs in CHF patients, suggesting new risk assessment strategies.

Key Points

  • Heart rate variability parameters, particularly SDNN and triangular index, predict major adverse cardiovascular events in chronic heart failure patients.
  • Among 906 patients followed for 16 months, 23.3% experienced MACEs, highlighting a significant risk within this population.
  • Cox regression analysis found multiple HRV indices independently associated with MACEs, emphasizing their importance in patient risk stratification.
  • Incorporating HRV metrics into existing risk models enhances predictive accuracy for cardiovascular mortality and MACEs.

Cite This Study

Men et al. (2025) studied this question.

synapsesocial.com/papers/68c23b8fb210217d647850d2https://doi.org/10.1155/cdr/6412775
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