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

ABSTRACT: Background: Chronic heart failure (CHF) involves changes in cardiac structure and function, along with extensive neuroendocrine adaptations and metabolic abnormalities. Heart rate variability (HRV) is a noninvasive measure of autonomic nervous system function and is associated with mortality in CHF. However, the significance of HRV in predicting major adverse cardiovascular events (MACEs) in CHF patients has not been fully explored. This study was aimed at investigating the predictive value of HRV parameters assessed by 24-h Holter monitoring for MACEs in CHF patients. Methods: This prospective cohort study included 906 CHF patients from five centers in Xinjiang, China, who underwent Holter monitoring and were followed up. Cox proportional hazards regression models were used to assess the

SUBMITTER: Men L 

PROVIDER: S-EPMC12370394 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature