Heart Rate Variability Dynamics as Predictors of Functional Recovery and Mortality After Acute Ischemic Stroke

<b>Background</b>: Autonomic dysfunction is commonly encountered after acute ischemic stroke (AIS) and may influence both functional recovery and survival. Heart rate variability (HRV) provides a non-invasive measure of autonomic balance, but its temporal evolution and prognostic significance in AIS remain insufficiently evaluated. <b>Methods</b>: In this prospective observational study, 148 AIS patients (mean age of 65.93 ± 9.19 years) underwent HRV assessment at baseline, one month, and three months follow-up, between January 2022 and October 2024. Time and frequency domain parameters, including Standard Deviation of NN intervals (SDNN), Low-Frequency (LF) power, High-Frequency (HF) power, and LF/HF ratio, were analyzed. Functional outcome was assessed using the modified Rankin Scale (mRS), with a good outcome defined as mRS ≤ 2. Multivariable logistic regression identified independent predictors of poor outcome (mRS > 2) at each time point. Mortality was recorded at one and three months, and potential predictors were evaluated. <b>Results</b>: Over three months, SDNN increased by 34.84% (<i>p</i> < 0.001), HF power rose by 22.26% (<i>p</i> < 0.001), LF power decreased by 21.61% (<i>p</i> < 0.001), and LF/HF ratio declined by 35.41% (<i>p</i> < 0.001), indicating a shift toward parasympathetic predominance. Higher SDNN correlated strongly with better functional status and was an important predictor of favorable outcome at all time points (<i>p</i> < 0.001). Higher LF/HF ratio predicted poor outcome at baseline (<i>p</i> < 0.01) and three months (<i>p</i> < 0.001). At three months, mortality reached 12.2%, with significant predictors including coronary artery disease (CAD), heart failure (HF), chronic kidney disease (CKD), and altered HRV parameters. <b>Conclusions</b>: Post-stroke recovery is characterized by the progressive restoration of autonomic balance, with higher SDNN and lower LF/HF associated with improved functional recovery and survival. HRV analysis offers valuable prognostic insight and may aid in risk stratification after AIS.

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Publication Details

Journal
Biomedicines
Published
2025-09-10
DOI
https://doi.org/10.3390/biomedicines13092217
Citations
2
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
2.78
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article

Heart Rate Variability Dynamics as Predictors of Functional Recovery and Mortality After Acute Ischemic Stroke

Mihaela Simu, Adrian Apostol, Alexandru Covaciu, Carina Bogdan et al.
2 citations
Biomedicines
Heart Rate Variability and Autonomic Control
2.78
article

Heart Rate Variability Dynamics as Predictors of Functional Recovery and Mortality After Acute Ischemic Stroke

Mihaela Simu, Adrian Apostol, Alexandru Covaciu, Carina Bogdan, Viviana Ivan, Victor-Dan Moga, Oana Elena Sandu, Radu-Mihai Pecingina
article en
2 citations

Abstract

<b>Background</b>: Autonomic dysfunction is commonly encountered after acute ischemic stroke (AIS) and may influence both functional recovery and survival. Heart rate variability (HRV) provides a non-invasive measure of autonomic balance, but its temporal evolution and prognostic significance in AIS remain insufficiently evaluated. <b>Methods</b>: In this prospective observational study, 148 AIS patients (mean age of 65.93 ± 9.19 years) underwent HRV assessment at baseline, one month, and three months follow-up, between January 2022 and October 2024. Time and frequency domain parameters, including Standard Deviation of NN intervals (SDNN), Low-Frequency (LF) power, High-Frequency (HF) power, and LF/HF ratio, were analyzed. Functional outcome was assessed using the modified Rankin Scale (mRS), with a good outcome defined as mRS ≤ 2. Multivariable logistic regression identified independent predictors of poor outcome (mRS > 2) at each time point. Mortality was recorded at one and three months, and potential predictors were evaluated. <b>Results</b>: Over three months, SDNN increased by 34.84% (<i>p</i> < 0.001), HF power rose by 22.26% (<i>p</i> < 0.001), LF power decreased by 21.61% (<i>p</i> < 0.001), and LF/HF ratio declined by 35.41% (<i>p</i> < 0.001), indicating a shift toward parasympathetic predominance. Higher SDNN correlated strongly with better functional status and was an important predictor of favorable outcome at all time points (<i>p</i> < 0.001). Higher LF/HF ratio predicted poor outcome at baseline (<i>p</i> < 0.01) and three months (<i>p</i> < 0.001). At three months, mortality reached 12.2%, with significant predictors including coronary artery disease (CAD), heart failure (HF), chronic kidney disease (CKD), and altered HRV parameters. <b>Conclusions</b>: Post-stroke recovery is characterized by the progressive restoration of autonomic balance, with higher SDNN and lower LF/HF associated with improved functional recovery and survival. HRV analysis offers valuable prognostic insight and may aid in risk stratification after AIS.

BiomedicinesVol. 13(9)
Transylvania University of Brașov (RO), Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO), Spitalul Clinic Judeţean de Urgenţă "Pius Brînzeu" Timişoara (RO), Victor Babeș University of Medicine and Pharmacy Timișoara (RO)
Openalex Percentile: Top 8%
Heart Rate Variability and Autonomic Control
2.78
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