Can Heart Rate Variability Parameters Be a Biomarker for Predicting Motor Function Prognosis in Patients with Chronic Stroke?

Zhang, Xiaoyu; Li, Xin; Liu, Haoyang; Zhang, Guigang; Xing, Chunxiao

doi:10.1007/978-3-030-32962-4_10

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Similarly, Zhang et al [ 57 ] found that HRV of hospitalized stroke patients had a synchronous relationship with the recovery of motor function. The SDNN (r = 0.274; p = 0.032) and SDANN (r = 0.276; p = 0.031) values support the assessment and evaluation of the motor function of stroke patients in the chronic rehabilitation phase.…”

Section: Discussionmentioning

confidence: 93%

Exploring the Utility of Autonomic Nervous System Evaluation for Stroke Prognosis

Orgianelis,

Merkouris,

Kitmeridou

et al. 2023

Neurology International

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Stroke is a major cause of functional disability and is increasing in frequency. Therefore, stroke prognosis must be both accurate and timely. Among other biomarkers, heart rate variability (HRV) is investigated in terms of prognostic accuracy within stroke patients. The literature research of two databases (MEDLINE and Scopus) is performed to trace all relevant studies published within the last decade addressing the potential utility of HRV for stroke prognosis. Only the full-text articles published in English are included. In total, forty-five articles have been traced and are included in the present review. The prognostic value of biomarkers of autonomic dysfunction (AD) in terms of mortality, neurological deterioration, and functional outcome appears to be within the range of known clinical variables, highlighting their utility as prognostic tools. Moreover, they may provide additional information regarding poststroke infections, depression, and cardiac adverse events. AD biomarkers have demonstrated their utility not only in the setting of acute ischemic stroke but also in transient ischemic attack, intracerebral hemorrhage, and traumatic brain injury, thus representing a promising prognostic tool whose clinical application may greatly facilitate individualized stroke care.

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Section: Discussionmentioning

confidence: 93%

Exploring the Utility of Autonomic Nervous System Evaluation for Stroke Prognosis

Orgianelis,

Merkouris,

Kitmeridou

et al. 2023

Neurology International

View full text Add to dashboard Cite

show abstract

“…First, most studies examined HRV in patients in the subacute (>7 days following stroke onset) or chronic phase of stroke (>6 months), whereas the most severe stroke complications, including autonomic dysfunction, appear in the acute phase of stroke. Second, most studies included only patients with minor stroke with less disability and smaller infarcts with frequent favorable outcomes and a low risk of cardiac complications, which increases proportionally to the severity of ischemic stroke and neurological deficits ( Yoshimura et al, 2008 ; Guan et al, 2019 ; Zhang et al, 2019 ; Li et al, 2021 ). Third, the studies had different follow-ups, and the risk of stroke complications was the highest in the first 3 months after stroke.…”

Section: Discussionmentioning

confidence: 99%

Heart rate variability as a predictor of stroke course, functional outcome, and medical complications: A systematic review

et al. 2023

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Background: Heart rate variability (HRV) is a non-invasive marker of autonomic nervous system function that is based on the analysis of length differences between subsequent RR intervals of the electrocardiogram. The aim of this systematic review was to assess the current knowledge gap in the utility of HRV parameters and their value as predictors of the acute stroke course.Methods: A systematic review was performed in accordance with the PRISMA guidelines. Relevant articles published between 1 January 2016 and 1 November 2022 available in the PubMed, Web of Science, Scopus, and Cochrane Library databases were obtained using a systematic search strategy. The following keywords were used to screen the publications: “heart rate variability” AND/OR “HRV” AND “stroke.” The eligibility criteria that clearly identified and described outcomes and outlined restrictions on HRV measurement were pre-established by the authors. Articles assessing the relationship between HRV measured in the acute phase of stroke and at least one stroke outcome were considered. The observation period did not exceed 12 months. Studies that included patients with medical conditions influencing HRV with no established stroke etiology and non-human subjects were excluded from the analysis. To minimize the risk of bias, disagreements throughout the search and analysis were resolved by two independent supervisors.Results: Of the 1,305 records obtained from the systematic search based on keywords, 36 were included in the final review. These publications provided insight into the usability of linear and non-linear HRV analysis in predicting the course, complications, and mortality of stroke. Furthermore, some modern techniques, such as HRV biofeedback, for the improvement of cognition performance after a stroke are discussed.Discussion: The present study showed that HRV could be considered a promising biomarker of a stroke outcome and its complications. However, further research is needed to establish a methodology for appropriate quantification and interpretation of HRV-derived parameters.

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Can Heart Rate Variability Parameters Be a Biomarker for Predicting Motor Function Prognosis in Patients with Chronic Stroke?

Cited by 2 publications

References 28 publications

Exploring the Utility of Autonomic Nervous System Evaluation for Stroke Prognosis

Exploring the Utility of Autonomic Nervous System Evaluation for Stroke Prognosis

Heart rate variability as a predictor of stroke course, functional outcome, and medical complications: A systematic review

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