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

Abstract:

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.

journal_name

Top Stroke Rehabil

authors

Lee HH,Lee JW,Kim BR,Jung HJ,Choi DH,Lee J

doi

10.1080/10749357.2020.1806437

subject

Has Abstract

pub_date

2020-08-12 00:00:00

pages

1-10

eissn

1074-9357

issn

1945-5119

pub_type

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