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Heart Rate Variability Dynamics as Predictors of Functional Recovery and Mortality After Acute Ischemic Stroke
Oana Elena Sandu1,2, Carina Bogdan1, Adrian Apostol1
1Department VII, Internal Medicine II, Discipline of Cardiology, "Victor Babeş" University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timişoara, Romania.
Heart rate variability (HRV) improves after acute ischemic stroke (AIS), with higher Standard Deviation of NN intervals (SDNN) predicting better outcomes. Autonomic balance restoration aids functional recovery and survival post-stroke.
Area of Science:
- Neurology
- Cardiology
- Medical Statistics
Background:
- Autonomic dysfunction is common after acute ischemic stroke (AIS), impacting recovery and survival.
- Heart rate variability (HRV) measures autonomic balance but its prognostic role in AIS needs further evaluation.
Purpose of the Study:
- To prospectively evaluate the temporal changes in HRV after AIS.
- To determine the prognostic significance of HRV parameters for functional outcomes and mortality in AIS patients.
Main Methods:
- 148 AIS patients underwent HRV assessment (SDNN, LF, HF, LF/HF ratio) at baseline, 1 month, and 3 months.
- Functional outcome assessed using modified Rankin Scale (mRS); mortality recorded at 1 and 3 months.
- Multivariable logistic regression identified predictors of poor outcome (mRS > 2) and mortality.
Main Results:
- Over 3 months, HRV showed a shift towards parasympathetic predominance (increased SDNN, HF; decreased LF, LF/HF ratio).
- Higher SDNN strongly predicted better functional status and favorable outcomes (p < 0.001).
- Higher LF/HF ratio predicted poor outcomes at baseline and 3 months (p < 0.01, p < 0.001). 12.2% mortality at 3 months, predicted by comorbidities and altered HRV.
Conclusions:
- Post-stroke recovery involves progressive restoration of autonomic balance, indicated by HRV changes.
- Higher SDNN and lower LF/HF ratio are associated with improved functional recovery and survival after AIS.
- HRV analysis provides valuable prognostic insight for risk stratification in AIS patients.
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