Key result
Heart rate variability noninvasively assesses autonomic activity and predicts stroke outcomes.
Why the study?
Autonomic nervous system dysfunction is common after stroke, and this study aimed to summarize evidence on heart rate variability mechanisms and associations across different stroke types.
Does heart rate variability associate with different types of stroke and predict outcomes such as post-stroke infection in patients after stroke?
Systematic Review
Does heart rate variability associate with different types of stroke and predict outcomes such as post-stroke infection in patients after stroke?
Heart rate variability serves as a valuable noninvasive monitoring tool to assess autonomic dysfunction and predict clinical outcomes, including infection, in post-stroke patients.
Answers are grounded in this paper and cite their sources.
Supports HRV integration into post-stroke monitoring for autonomic assessment and outcome prediction; extends evidence via systematic synthesis.
The autonomic nervous system dysfunction has been reported in up to 76% of stroke patients 7 days after an acute stroke. Heart rate variability (HRV) is one of the important indicators reflecting the balance of sympathetic and parasympathetic nerves. Therefore, we performed a systematic literature review of existing literature on the association between heart rate variability and the different types of stroke. We included studies published in the last 32 years (1990 to 2022). The electronic databases MEDLINE and PubMed were searched. We selected the research that met the inclusion or exclusion criteria. A narrative synthesis was performed. This review aimed to summarize evidence regarding the potential mechanism of heart rate variability among patients after stroke. In addition, the association of clinical characteristics of heart rate variability and stroke has been depicted. The review further discussed the relationship between post-stroke infection and heart rate variability, which could assist in curbing clinical infection in patients with stroke. HRVas a noninvasive clinical monitoring tool can quantitatively assess the changes in autonomic nervous system activity and further predict the outcome of stroke. HRV could play an important role in guiding the clinical practice for autonomic nervous system disorder after stroke.
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Bai et al. (2023) conducted a systematic review in Stroke. Heart rate variability (HRV) assessment was evaluated on Association between heart rate variability and stroke types, mechanisms, and post-stroke infection. Heart rate variability serves as a noninvasive clinical monitoring tool to quantitatively assess autonomic nervous system activity and predict stroke outcomes.
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