Heart Rate Variability and Autonomic Dysfunction After Stroke: Prognostic Markers for Recovery Article Swipe
Sara Lago
,
Toon T. de Beukelaar
,
Ilaria Casetta
,
Giorgio Arcara
,
Dante Mantini
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/biomedicines13071659
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/biomedicines13071659
Stroke is a major cause of long-term disability and mortality worldwide, often resulting in impairments not only in motor and cognitive functions but also in autonomic nervous system (ANS) regulation. Among the physiological markers that reflect ANS activity, heart rate variability (HRV) has emerged as a promising biomarker for assessing stroke severity and predicting recovery outcomes. HRV quantifies the temporal fluctuations between heartbeats and is traditionally analyzed through time- and frequency-domain measures. More recent approaches have introduced non-linear metrics such as approximate entropy, sample entropy, and detrended fluctuation analysis to capture complex heart rate dynamics. In this narrative review, we address the role of both linear and non-linear HRV parameters in the context of stroke, highlighting their relevance for understanding autonomic dysfunction and guiding rehabilitation. Evidence shows that reduced HRV is associated with poorer functional outcomes, higher mortality, and increased risk of complications post-stroke. Moreover, HRV trends can provide valuable insights into treatment effectiveness and individual recovery trajectories. We also discuss practical considerations for HRV measurement, including device selection, preprocessing strategies, and the need for methodological standardization. Finally, we outline interventional strategies that may enhance HRV and promote better recovery. Together, these findings support the integration of HRV analysis into stroke care as a non-invasive, accessible tool to guide prognosis and tailor interventions.
Related Topics
Concepts
Heart rate variability
Stroke (engine)
Context (archaeology)
Detrended fluctuation analysis
Medicine
Physical medicine and rehabilitation
Sample entropy
Rehabilitation
Stroke recovery
Heart rate
Physical therapy
Psychology
Internal medicine
Cognitive psychology
Blood pressure
Geometry
Mechanical engineering
Mathematics
Pattern recognition (psychology)
Paleontology
Biology
Engineering
Scaling
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/biomedicines13071659
- https://www.mdpi.com/2227-9059/13/7/1659/pdf?version=1751887375
- OA Status
- gold
- Cited By
- 1
- References
- 89
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412087882
All OpenAlex metadata
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https://openalex.org/W4412087882Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/biomedicines13071659Digital Object Identifier
- Title
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Heart Rate Variability and Autonomic Dysfunction After Stroke: Prognostic Markers for RecoveryWork title
- Type
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reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-07-07Full publication date if available
- Authors
-
Sara Lago, Toon T. de Beukelaar, Ilaria Casetta, Giorgio Arcara, Dante MantiniList of authors in order
- Landing page
-
https://doi.org/10.3390/biomedicines13071659Publisher landing page
- PDF URL
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https://www.mdpi.com/2227-9059/13/7/1659/pdf?version=1751887375Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-9059/13/7/1659/pdf?version=1751887375Direct OA link when available
- Concepts
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Heart rate variability, Stroke (engine), Context (archaeology), Detrended fluctuation analysis, Medicine, Physical medicine and rehabilitation, Sample entropy, Rehabilitation, Stroke recovery, Heart rate, Physical therapy, Psychology, Internal medicine, Cognitive psychology, Blood pressure, Geometry, Mechanical engineering, Mathematics, Pattern recognition (psychology), Paleontology, Biology, Engineering, ScalingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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89Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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