应用功能性步态评价预测帕金森病患者跌倒情况的研究

目的:本研究拟应用功能性步态评价(FGA)对帕金森病(PD)患者进行跌倒预测。方法:选择北京天坛医院神经内科入院PD患者121例。由1名治疗师进行FGA测评,6个月后,另外一名神经病学医师对患者进行电话随访。收集其6个月内的跌倒情况,绘制FGA的接受者操作特征曲线,并确定FGA预测跌倒的分界值、敏感性、特异性、似然比等。结果:FGA对未来6个月内的跌倒预测,其最佳分界值为18,敏感度为80.6%,特异度为80.0%,似然比为4.03。结论:FGA可用于预测未来6个月内PD患者的跌倒,是较好的评价工具。

Predicting falls of the functional gait assessment in patients with Parkinson disease

Objective:The purpose of the present study was to investigate the predicting falls of the functional gait assessment(FGA)in patients with Parkinson disease(PD).Method:One hundred and twenty one participants with PD were recruited from Department of Neurology,Beijing Tiantan Hospital,Capital Medical University.Participants were evaluated by one rater on performance of the FGA.Six months later,one follow-up telephone interview was conducted to collect data on the incidence of subsequent falls.Cutoff point,sensitivity,specificity,and positive likelihood ratios were calculated for predicting falls based on receiver operating characteristic curve.Result:The cutoff point of the FGA for predicting falls was 18,with sensitivity of 80.6%,specificity of 80.0%,and positive likelihood ratios of 4.03.Conclusion:The FGA can be used to predict falls in patients with PD.