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WHICH BALANCE EVALUATION SYSTEMS TEST SECTIONS BEST DISTINGUISH LEVELS OF POST-STROKE FUNCTIONAL WALKING STATUS?

OBJECTIVE: To determine which sections of the Balance Evaluation Systems Test (BESTest) distinguish levels of post-stroke functional walking status and to establish their cut-off scores. DESIGN: A retrospective cross-sectional study. SUBJECTS AND METHODS: The BESTest was administered to 87 stroke pa...

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Detalles Bibliográficos
Autores principales: MIYATA, Kazuhiro, HASEGAWA, Satoshi, IWAMOTO, Hiroki, OTANI, Tomohiro, KAIZU, Yoichi, SHINOHARA, Tomoyuki, USUDA, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Foundation for Rehabilitation Information 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638744/
https://www.ncbi.nlm.nih.gov/pubmed/34486068
http://dx.doi.org/10.2340/16501977-2870
Descripción
Sumario:OBJECTIVE: To determine which sections of the Balance Evaluation Systems Test (BESTest) distinguish levels of post-stroke functional walking status and to establish their cut-off scores. DESIGN: A retrospective cross-sectional study. SUBJECTS AND METHODS: The BESTest was administered to 87 stroke patients who were able to walk without physical assistance upon discharge from the hospital. Subjects were divided into 3 functional walking status groups: namely, household ambulators, limited community ambulators, and unlimited community ambulators. The receiver operating characteristic curve was determined and the cut-off score and area under the receiver operating characteristic curve (AUROC) of each section calculated. RESULTS: In the comparison of household and limited community ambulators, the accuracies of all BESTest sections were moderate (AUROC>0.7), and the cut-off scores were 36.1–78.6%. In the comparison of limited and unlimited community ambulators, one section (stability in gait) had high accuracy (AUROC=0.908, cut-off scores=73.8%) and 3 sections (biomechanical constraints, anticipatory postural adjustments, and postural response) had moderate accuracy (AUROC=0.812–0.834, cut-off scores=75.0–83.4%). CONCLUSION: This study demonstrated that different sections of the BESTest had different abilities to discriminate levels of post-stroke functional walking status, and identified cut-off values for targeted improvement.