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September 12, 2025Frontiers in NeurologyOpen Access

Early heart rate predicts 3-month outcomes in acute ischemic stroke patients receiving intravenous thrombolysis: a machine learning approach

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Early heart rate dynamics correlate with 3-month functional outcomes after thrombolysis, highlighting their predictive power.
A machine learning model achieved an area under the ROC curve of 0.82 for predicting outcomes based on heart rate and NIHSS scores.
Patients with elevated maximum and minimum heart rates showed significant risk for poor outcomes, underscoring the importance of early monitoring.
No heart rate metrics significantly predicted early neurological deterioration, indicating a specific focus on longer-term outcomes.

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Implication

Retrospective analysis shows early heart rate variability predicts functional outcomes in acute ischemic stroke, indicating potential for personalized management.

Cite This Study

Yao et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4631b076d99fa55c4d https://doi.org/10.3389/fneur.2025.1668901

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Implication

Retrospective analysis shows early heart rate variability predicts functional outcomes in acute ischemic stroke, indicating potential for personalized management.

Early heart rate predicts 3-month outcomes in acute ischemic stroke patients receiving intravenous thrombolysis: a machine learning approach

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Discussion

Implication

Cite This Study

Early heart rate predicts 3-month outcomes in acute ischemic stroke patients receiving intravenous thrombolysis: a machine learning approach

Key Points

Discussion

Implication

Cite This Study

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