Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients

This study found that abnormal variation in HRV parameters was more observed in patients with acute ischemic stroke. Then, unlike previous research, this study uniquely integrated multiple HRV parameters to develop novel indices such as AVTD, AVFD, AVA, and CDV, which somehow demonstrated a significant association with the risk of AIS. These new metrics, combined with conventional risk factors and CHA2DS2-VASc score, brought great improvement to the model prediction for AIS risk.

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Publication Details

Journal
European journal of medical research
Published
2025-04-19
DOI
https://doi.org/10.1186/s40001-025-02583-7
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
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article

Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients

Fabrice Yves Ndjana Lessomo, Zhiquan Wang, Yiwen Bu
1 links
European journal of medical research
Heart Rate Variability and Autonomic Control
article

Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients

Fabrice Yves Ndjana Lessomo, Zhiquan Wang, Yiwen Bu
article en

Abstract

This study found that abnormal variation in HRV parameters was more observed in patients with acute ischemic stroke. Then, unlike previous research, this study uniquely integrated multiple HRV parameters to develop novel indices such as AVTD, AVFD, AVA, and CDV, which somehow demonstrated a significant association with the risk of AIS. These new metrics, combined with conventional risk factors and CHA2DS2-VASc score, brought great improvement to the model prediction for AIS risk.

European journal of medical researchVol. 30(1)
Wuhan University (CN), Zhongnan Hospital of Wuhan University (CN)
Good health and well-being
Openalex Percentile: Top 86%
Heart Rate Variability and Autonomic Control
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