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Official PDF TranslationChinese Journal of Tissue Engineering Research

Analysis of influencing factors and risk prediction model for spasticity severity in stroke patients with hemiplegia

Authors: Cao Xinyan; Leng Xiaoxuan; Gao Shiai; Chen Jinhui; Liu Xihua

DOI: 10.12307/2026.21273Status: Verified Translated Edition
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Key Findings in This Report

• Advanced age, normal sensory function, higher Barthel index, and Fugl-Meyer motor function score are protective factors against severe spasticity in stroke hemiplegic patients. • Depression/anxiety, poor sleep quality, and pain are significant risk factors for increased spasticity severity. • A logistic regression model incorporating these factors achieved an AUC of 0.969, demonstrating high predictive accuracy for spasticity severity. • Multidimensional and individualized interventions are recommended to prevent and reduce spasticity, improving functional outcomes and quality of life.