Development of a model to predict gait independence in individuals with very severe gait disorder due to subacute hemiparetic stroke.

A model combining age, days from onset to admission, stroke type, affected side, severity of paresis, unaffected side muscle strength, and cognitive function effectively predicted gait independence at discharge in individuals with very severe gait disorder due to subacute hemiparetic stroke.

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Publication Details

Journal
PubMed
Published
2026-02-01
DOI
https://doi.org/10.20407/fmj.2025-026
Citations
1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
60.11
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Development of a model to predict gait independence in individuals with very severe gait disorder due to subacute hemiparetic stroke.

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Development of a model to predict gait independence in individuals with very severe gait disorder due to subacute hemiparetic stroke.

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article en
1 citations

Abstract

A model combining age, days from onset to admission, stroke type, affected side, severity of paresis, unaffected side muscle strength, and cognitive function effectively predicted gait independence at discharge in individuals with very severe gait disorder due to subacute hemiparetic stroke.

PubMedVol. 12(1)
Fujita Health University (JP), Gifu University Hospital (JP), Fujita Health University Hospital (JP), Fujita Health University Nanakuri Memorial Hospital
Openalex Percentile: Top 1%
Balance, Gait, and Falls Prevention
60.11
DOIOpen Access PDFOpenAlex
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