[Objective] The purpose of this study was to determine the optimal scale for predicting gait independence in patients with acute cerebellar infarction. [Method] Twenty–five patients with cerebellar infarction who presented with ataxia and independent gait and were admitted to our hospital between January 2019 to December 2020 were included in the study. We compared results of motor function assessments (Scale for the Assessment and Rating of Ataxia : SARA,Postural Assessment Scale for Stroke Patients : PASS,and Functional Ambulation Categories : FAC), results of cognitive function assessments (Mini–Mental State Examination : MMSE, and Frontal Assessment Battery : FAB), and background information at the time of admission between two groups : independent group (14 patients) and non–independent group (11 patients), based on walking function on day 14 of illness. ROC curve analysis was used to predict gait independence objectively for the parameters that showed significant differences. [Results] Significant differences were found in SARA, PASS, FAC, and FAB between the two groups. Among these assessments, SARA was the most effective in predicting gait independence, with a cut–off value of 9/10 points, sensitivity of 100%, specificity of 91%, and Area Under the Curve (AUC) of 0.977 (95% CI : 0.926–1.000).
[Conclusion] The results suggest that SARA at the time of admission can predict gait independence in patients with acute cerebellar infarction more accurately than other assessments.
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