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Published on: May 22, 2019
Resting Heart Rate Predicts Depression and Cognition Early after Ischemic Stroke: A Pilot Study
Arnaud Tessier1, Igor Sibon2, Mathilde Poli3
1Département de psychiatrie adulte, Centre Hospitalier Charles Perrens, CS81285, 33076 Bordeaux Cedex, France; Université de Bordeaux, INCIA, CNRS UMR 5287, F-33000 Bordeaux, France.
Resting heart rate (HR) and heart rate variability (HRV) in early stroke can predict poststroke depression (PSD) and cognitive impairment (PSCI). These autonomic nervous system measures offer objective tools for early detection when patients cannot complete standard assessments.
Area of Science:
- Neurology
- Cardiology
- Psychiatry
Background:
- Early detection of poststroke depression (PSD) and cognitive impairment (PSCI) is challenging.
- Autonomic nervous system function is linked to depression and cognition.
- This relationship is unexplored in the early poststroke phase.
Purpose of the Study:
- To determine if resting heart rate (HR) parameters in early stroke correlate with depression and cognition.
- To assess if these HR parameters can predict PSD or PSCI objectively, especially for non-responsive patients.
Main Methods:
- Fifty-four first-ever ischemic stroke patients were studied.
- Resting HR and heart rate variability (HRV) were measured within the first week post-stroke.
- Depression and cognition were assessed at 1 week and 3 months.
Main Results:
- Higher HR, lower HRV, and higher sympathovagal balance correlated with higher depressive symptoms in the first week.
- Early sympathovagal balance predicted 3-month depressive symptoms.
- Early HR and HRV predicted 3-month cognitive function.
Conclusions:
- Resting HR measurements in early stroke can objectively predict PSD and PSCI.
- This method is valuable for patients unable to complete traditional questionnaires.
- HR parameters offer a new avenue for early, objective assessment of poststroke complications.
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