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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Foundation for Rehabilitation Information
2021
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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 |
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. |
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