Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?
Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status?
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DOI：
10.2340/16501977-2870
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发表时间：
2021-09-24
影响因子：
3.5
通讯作者：
Usuda S
中科院分区：
文献类型：
--
作者：
Miyata K;Hasegawa S;Iwamoto H;Otani T;Kaizu Y;Shinohara T;Usuda S
确定平衡评估系统测试 (BESTest) 的哪些部分区分中风后功能性步行状态的水平并确定其截止分数。一项回顾性横断面研究。 BESTest 对 87 名中风患者进行了测试，这些患者出院后无需身体帮助即可行走。受试者被分为 3 个功能步行状态组：即家庭步行者、有限社区步行者和无限社区步行者。确定受试者工作特征曲线并计算各部分的截止分数和受试者工作特征曲线下面积（AUROC）。在家庭和有限社区步行机的比较中，所有 BESTest 部分的准确性均为中等（AUROC>0.7），截止分数为 36.1-78.6%。在有限和无限社区步行机的比较中，1 个部分（步态稳定性）具有较高的准确性（AUROC=0.908，截止分数=73.8%），3 个部分（生物力学约束、预期姿势调整和姿势反应）具有中等准确性（AUROC=0.812–0.834，截止分数=75.0–83.4%）。这项研究表明，BESTest 的不同部分具有不同的能力来区分中风后功能性步行状态的水平，并确定有针对性的改善的临界值。摘要 平衡评估系统测试 (BESTest) 是一种临床姿势控制测量方法，将姿势控制系统分为 6 个不同的部分。这项研究调查了 BESTest 的哪些部分区分中风后功能性步行状态的水平，而这又是基于步行速度的。在步行速度较慢的人中，BESTest 的所有部分都显示出与步行状态类别的中等关系。在步行速度较快的人中，4 个部分显示出中度至较强的关系，2 个部分显示出较弱的关系。这项研究可能对旨在改善中风患者功能性步行状态的康复具有临床意义。这些发现将帮助康复专业人员评估与中风患者在不同环境（例如家庭或社区）行走能力相关的姿势控制，并确定在治疗干预中应优先考虑哪些姿势控制系统。
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. A retrospective cross-sectional study. 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. 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%). 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. LAY ABSTRACT The Balance Evaluation Systems Test (BESTest), a clinical postural control measure, categorizes postural control systems in 6 different sections. This study investigated which sections of the BESTest distinguish levels of post-stroke functional walking status, which, in turn, is based on walking speed. Among the slower walkers, all sections of the BESTest showed moderate relationships to categories of walking status. Among the faster walkers, 4 sections showed moderate to strong relationships and 2 sections showed weak relationships. This study may have clinical implications for rehabilitation aimed at improving functional walking status in individuals with stroke. These findings will help rehabilitation professionals assess postural control in relation to stroke patients’ ability to walk in different settings (e.g. their household or the community) and determine which postural control systems should be prioritized in therapeutic interventions.
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DOI：
10.1016/s0003-9993(95)80038-7
发表时间：
1995-01-01
影响因子：
4.3
作者：
JORGENSEN, HS;NAKAYAMA, H;OLSEN, TS
通讯作者：
OLSEN, TS
影响因子：
6.7
作者：
Horak, Fay B.
通讯作者：
Horak, Fay B.
影响因子：
4
作者：
Aslan, Ummuhan Bas;Cavlak, Ugur;Akdag, Beyza
通讯作者：
Akdag, Beyza
影响因子：
2.4
作者：
Hendrickson, Janna;Patterson, Kara K.;Mansfield, Avril
通讯作者：
Mansfield, Avril
影响因子：
3.5
作者：
Flansbjer, UB;Holmbäck, AM;Lexell, J
通讯作者：
Lexell, J