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

PubMed 2026 Open access

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Authors: Ryo MAKINO, Satoshi Hirano, Daisuke Imoto, Hiroki Kawanai, Makoto Watanabe, Takuma Ishihara, Shigeru Sonoda, Yohei Otaka
DOI: 10.20407/fmj.2025-026
Cited by: 1

Abstract

Objectives: We aimed to develop and validate a model to predict gait independence at discharge from inpatient rehabilitation in individuals with subacute hemiparetic stroke who have very severe gait disorder. Methods: Overall, 298 individuals with subacute hemiparetic stroke and completely dependent gait were selected in one hospital as the training cohort. Seventy-seven individuals were selected in another hospital as the validation cohort. The prediction model was developed using multivariable logistic regression analysis, with individual characteristics selected based on a p-value threshold (

Fields of Study & Subjects

Balance Gait and Falls Prevention Stroke Rehabilitation and Recovery Acute Ischemic Stroke Management

Publication details

Journal / source
PubMed
Volume
12
Issue
1
Pages
60–66
Publication date
1 February 2026
Language
EN