Department of Physical Therapy, Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil.
Department of Physical Therapy, Universidade de Alfenas, Alfenas, Brazil.
Disabil Rehabil. 2021 Mar;43(5):713-717. doi: 10.1080/09638288.2019.1632942. Epub 2019 Jun 26.
To determine the Duke Activity Status Index (DASI) cut-off scores and verify if they would be able to discriminate between chronic stroke individuals, who had poor, from those who had good functional capacity (FC).
Cross-sectional study, where 92 individuals with chronic stroke had their FC measured by DASI scores and were classified into community and non-community walkers. Both the receiver operating characteristic and the area under the curve were used to determine the best DASI cut-off values that could discriminate between individuals, who had poor, from those who had good FC. Binary logistic regression analysis is used to investigate the ability of DASI scores in predicting community walkers.
DASI cut-off value of 31.95 showed to be sensitive and specific to differentiate between individuals, who had poor from good FC. The regression analysis revealed that the chance of individuals, who had better FC (≥ 31.95) be community walkers was 10.69 (95%CI:4-32.75) times higher than that of those who had poor FC (< 31.95). The model demonstrated good predictive ability.
The DASI cut-off value of 31.95 showed to be sensitive and specific to distinguish between chronic stroke individuals, who had poor, from those who had good FC.IMPLICATIONS FOR REHABILITATIONThe identification of individuals, who have good and poor functional capacity, is important for clinical reasoning and decision-making in stroke rehabilitation.The Duke Activity Status Index (DASI) is a clinically useful tool for the assessment of functional capacity, based upon the performance of common daily living activities.The DASI cut-off of 31.95 points was able to discriminate between individuals with stroke, who had poor, from those who had good functional capacity.The chance of individuals, who had good functional capacity (DASI ≥ 31.95) be community walkers was 10.69 times higher than that of those who had poor functional capacity (DASI < 31.95).The findings support the use of the DASI as a simple tool for the assessment of functional capacity, especially in low-resource settings.
确定杜克活动状态指数（DASI）的截断分数，并验证其是否能够区分慢性脑卒中患者中功能能力较差者和功能能力较好者。
这是一项横断面研究，92 名慢性脑卒中患者的功能能力通过 DASI 评分进行测量，并分为社区步行者和非社区步行者。采用受试者工作特征曲线和曲线下面积来确定最佳的 DASI 截断值，以区分功能能力较差者和功能能力较好者。使用二元逻辑回归分析来研究 DASI 评分预测社区步行者的能力。
DASI 截断值为 31.95 时，能够敏感且特异地区分功能能力较差者和功能能力较好者。回归分析显示，功能能力较好者（≥31.95）成为社区步行者的可能性是功能能力较差者（<31.95）的 10.69 倍（95%CI：4-32.75）。该模型显示出良好的预测能力。
DASI 截断值为 31.95 时，能够敏感且特异地区分慢性脑卒中患者中功能能力较差者和功能能力较好者。
识别功能能力较好者和较差者对于脑卒中康复的临床推理和决策至关重要。
杜克活动状态指数（DASI）是一种基于日常生活活动表现的评估功能能力的临床有用工具。
DASI 截断值为 31.95 分能够区分脑卒中患者中功能能力较差者和功能能力较好者。
功能能力较好者（DASI ≥ 31.95）成为社区步行者的可能性是功能能力较差者（DASI < 31.95）的 10.69 倍。
这些发现支持将 DASI 用作评估功能能力的简单工具，特别是在资源有限的环境中。
