Schlenstedt Christian, Brombacher Stephanie, Hartwigsen Gesa, Weisser Burkhard, Möller Bettina, Deuschl Günther
C. Schlenstedt, PhD, Departments of Neurology and Sport Science, Christian-Albrechts University, Kiel, Germany.
S. Brombacher, DiplPsych, Department of Neurology, Christian-Albrechts University.
Phys Ther. 2016 Apr;96(4):494-501. doi: 10.2522/ptj.20150249. Epub 2015 Sep 17.
The correct identification of patients with Parkinson disease (PD) at risk for falling is important to initiate appropriate treatment early.
This study compared the Fullerton Advanced Balance (FAB) scale with the Mini-Balance Evaluation Systems Test (Mini-BESTest) and Berg Balance Scale (BBS) to identify individuals with PD at risk for falls and to analyze which of the items of the scales best predict future falls.
This was a prospective study to assess predictive criterion-related validity.
The study was conducted at a university hospital in an urban community.
Eighty-five patients with idiopathic PD (Hoehn and Yahr stages: 1-4) participated in the study.
Measures were number of falls (assessed prospectively over 6 months), FAB scale, Mini-BESTest, BBS, and Unified Parkinson's Disease Rating Scale.
The FAB scale, Mini-BESTest, and BBS showed similar accuracy to predict future falls, with values for area under the curve (AUC) of the receiver operating characteristic (ROC) curve of 0.68, 0.65, and 0.69, respectively. A model combining the items "tandem stance," "rise to toes," "one-leg stance," "compensatory stepping backward," "turning," and "placing alternate foot on stool" had an AUC of 0.84 of the ROC curve.
There was a dropout rate of 19/85 participants.
The FAB scale, Mini-BESTest, and BBS provide moderate capacity to predict "fallers" (people with one or more falls) from "nonfallers." Only some items of the 3 scales contribute to the detection of future falls. Clinicians should particularly focus on the item "tandem stance" along with the items "one-leg stance," "rise to toes," "compensatory stepping backward," "turning 360°," and "placing foot on stool" when analyzing postural control deficits related to fall risk. Future research should analyze whether balance training including the aforementioned items is effective in reducing fall risk.
正确识别有跌倒风险的帕金森病(PD)患者对于尽早启动适当治疗很重要。
本研究比较了富勒顿高级平衡(FAB)量表、迷你平衡评估系统测试(Mini-BESTest)和伯格平衡量表(BBS),以识别有跌倒风险的PD患者,并分析量表中的哪些项目最能预测未来的跌倒情况。
这是一项评估预测性标准相关效度的前瞻性研究。
研究在城市社区的一家大学医院进行。
85例特发性PD患者(霍恩和雅尔分期:1 - 4期)参与了研究。
测量指标包括跌倒次数(前瞻性评估6个月)、FAB量表、Mini-BESTest、BBS和统一帕金森病评定量表。
FAB量表、Mini-BESTest和BBS在预测未来跌倒方面显示出相似的准确性,受试者工作特征(ROC)曲线的曲线下面积(AUC)值分别为0.68、0.65和0.69。一个结合了“前后站立”“踮脚尖”“单腿站立”“向后代偿性迈步”“转身”和“将脚交替放在凳子上”这些项目的模型,其ROC曲线的AUC为0.84。
85名参与者中有19人退出研究。
FAB量表、Mini-BESTest和BBS在从“无跌倒者”中预测“跌倒者”(有一次或多次跌倒的人)方面具有中等能力。这3个量表中只有一些项目有助于检测未来的跌倒情况。临床医生在分析与跌倒风险相关的姿势控制缺陷时,应特别关注“前后站立”项目以及“单腿站立”“踮脚尖”“向后代偿性迈步”“360°转身”和“将脚放在凳子上”这些项目。未来的研究应分析包括上述项目的平衡训练是否能有效降低跌倒风险。