Heart Rate Variability and Autonomic Dysfunction After Stroke: Prognostic Markers for Recovery.

Area of Science:

• Neurology
• Cardiology
• Biomedical Engineering

Background:

• Stroke significantly impacts motor, cognitive, and autonomic nervous system (ANS) functions.
• Heart rate variability (HRV) is a key physiological marker reflecting ANS activity post-stroke.
• Assessing HRV aids in understanding stroke severity and predicting patient recovery.

Purpose of the Study:

• To review the role of linear and non-linear HRV parameters in stroke.
• To highlight HRV's relevance in understanding autonomic dysfunction and guiding rehabilitation.
• To discuss practical considerations and interventional strategies for HRV in stroke care.

Main Methods:

• Narrative review of existing literature on HRV in stroke.
• Analysis of traditional time- and frequency-domain HRV measures.
• Inclusion of advanced non-linear HRV metrics (e.g., entropy, DFA).

Main Results:

• Reduced HRV correlates with poorer functional outcomes, increased mortality, and complications post-stroke.
• HRV trends provide insights into treatment effectiveness and individual recovery.
• HRV analysis is a valuable, accessible tool for prognosis and intervention tailoring.

Conclusions:

• HRV analysis is crucial for assessing autonomic dysfunction following stroke.
• Integrating HRV into stroke care can improve prognosis and personalize rehabilitation strategies.
• Standardized HRV measurement and intervention are key for optimal patient outcomes.