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迷你平衡-行动组合测试可预测帕金森病反复跌倒者:一项 6 个月前瞻性研究。

The mini-BESTest can predict parkinsonian recurrent fallers: a 6-month prospective study.

机构信息

Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.

出版信息

J Rehabil Med. 2013 Jun;45(6):565-71. doi: 10.2340/16501977-1144.

DOI:10.2340/16501977-1144
PMID:23673397
Abstract

OBJECTIVES

To examine whether the Mini-Balance Evaluation Systems Test (Mini-BESTest) independently predicts recurrent falls in people with Parkinson's disease.

DESIGN

The study used a longitudinal cohort design.

SUBJECTS

A total of 110 patients with Parkinson's disease completed the study and were included in the final analysis. Most of the patients had moderate disease severity.

METHODS

All subjects were measured to establish a baseline. The tests used were Unified Parkinson's Disease Rating Scale (MDS-UPDRS III), Freezing of Gait Questionnaire, Five-Time-Sit-To-Stand Test, and Mini-BESTest. All patients were followed by telephone interview for 6 months to register the incidence of monthly falls.

RESULTS

Twenty-four patients (21.2%) reported more than one fall and were classified as recurrent fallers. Results of the multivariate logistic regression showed that, after adjusting for fall history and MDS-UPDRS III score, the Mini-BESTest score remained a significant predictor of recurrent falls. We further established that a cut-off Mini-BESTest score of 19 had the best sensitivity (79%) for predicting future falls in patients with Parkinson's disease.

CONCLUSION

The results indicate that those with a Mini-BESTest score < 19 at baseline had a significantly higher risk of sustaining recurrent falls in the next 6 months. These findings highlight the importance of evaluating dynamic balance ability during fall risk assessment in patients with Parkinson's disease.

摘要

目的

探讨 Mini-Balance Evaluation Systems Test(Mini-BESTest)是否能独立预测帕金森病患者的复发性跌倒。

设计

本研究采用纵向队列设计。

受试者

共有 110 例帕金森病患者完成了研究并纳入最终分析。大多数患者的疾病严重程度为中度。

方法

所有受试者均进行了基线测量。使用的测试包括统一帕金森病评定量表(MDS-UPDRS III)、冻结步态问卷、五次坐立试验和 Mini-BESTest。所有患者均通过电话访谈进行 6 个月的随访,以登记每月跌倒的发生率。

结果

24 例(21.2%)患者报告了多次跌倒,被归类为复发性跌倒者。多变量逻辑回归结果显示,在调整了跌倒史和 MDS-UPDRS III 评分后,Mini-BESTest 评分仍然是复发性跌倒的显著预测因素。我们进一步确定,Mini-BESTest 评分<19 是预测帕金森病患者未来跌倒的最佳截断值,具有 79%的灵敏度。

结论

研究结果表明,基线时 Mini-BESTest 评分<19 的患者在接下来的 6 个月内发生复发性跌倒的风险显著更高。这些发现强调了在帕金森病患者的跌倒风险评估中评估动态平衡能力的重要性。

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