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Topics in stroke rehabilitation · 2020

Predicting independence of gait by assessing sitting balance through sitting posturography in patients with subacute hemiplegic stroke.

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Lee Hyun Haeng, Lee Jong Won, Kim Bo-Ram, Jung Ho Joong, Choi Dong-Hee, Lee Jongmin

Аннотация

BACKGROUND: Post-stroke sitting balance is a known predictor of independence of gait after stroke. However, previous studies used only qualitative scales or measured static or dynamic sitting balance alone.

OBJECTIVES: To investigate whether quantitative parameters of sitting posturography at post-stroke 1 month can predict independent gait.

METHODS: In this prospective cohort study, we enrolled patients with first-ever stroke who could hold a sitting posture at post-stroke 1 month. Sitting balance was assessed using posturography at post-stroke 1 month. Independence of gait was assessed using functional ambulation categories at post-stroke 2 months. We predicted mobility independence at post-stroke 2 months according to sitting balance at post-stroke 1 month. We also assessed the correlation between sitting posturography parameters and clinical scales.

RESULTS: We enrolled 27 patients. The limit of stability deviation predicted independent gait at post stroke 2 months (cutoff, 78.4%). Further, there was a high degree of correlation between sitting posturography parameters (weight-bearing distribution deviation and limit of stability deviation) and Berg Balance Scale (ρ = 0.763, ρ = 0.777; p < .001, respectively), Scale for Assessment and Rating of Ataxia (ρ = -0.853, ρ = -0.929; p < .001, respectively), and Fugl-Meyer Assessment scale (upper extremities: ρ = 0.520, ρ = 0.480 [p = .005, p = .011, respectively]; lower extremities: ρ = 0.744, ρ = 0.564 [p < .001, p = .002, respectively]) scores.

CONCLUSIONS: Sitting posturography parameters is clinically useful because they can quantitatively assess post-stroke balance and neurological impairment and predict post-stroke independence of gait even when patients cannot reach their arms forward or stand upright.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты