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首页> 外文期刊>Gait & posture >Is posturography able to identify fallers in patients with Parkinson's disease?
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Is posturography able to identify fallers in patients with Parkinson's disease?

机译：体位描记法能够确定帕金森氏病患者的跌倒者吗？

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Introduction: Parkinson' disease (PD) is one of the most prevalent neurodegenerative diseases, and more than half of patients with PD experience falls. Research for clinically useful risk factors predicting falls has yielded inconsistent findings so far. Hence the aim of the study is to validate two different posturography techniques and one modified-timed up and go test (TUG) in discriminating fallers and non-fallers among PD patients. Methods: 32 patients diagnosed with idiopathic PD were assessed with: Dizziness handicap inventory, Activities-specific balance confidence scale, modified-TUG, sensorial organization test (SOT) and limits of stability (LOS) of computer dynamic posturography, results of free-field body sway analysis with Vertiguard device and number of falls. Results: Fallers had longer time to perform modified-TUG and required more steps. On average, fallers performed SOT and LOS significantly worse and Vertiguard device indicated a higher risk of falling. Based on the area under the curve of receiver operating characteristics analyses, the overall accuracy of directional control of LOS and steps in modified-TUG are close to 0.9 (high accuracy). Also assessment with Vertiguard device is more efficient in identifying fallers than the parameters of SOT. Discussion: Our results indicate that LOS, mobile posturography (Vertiguard), vestibular input of SOT and number of steps taken in modified-TUG are very useful to identify fallers in PD patients.
机译：简介：帕金森氏病（PD）是最普遍的神经退行性疾病之一，超过一半的PD患者经历跌倒。迄今为止，对临床上有用的预测跌倒的危险因素的研究结果不一致。因此，本研究的目的是验证两种不同的姿势描记技术和一种改良的定时进门测验（TUG），以区分PD患者中的跌倒者和非跌倒者。方法：对32名诊断为特发性PD的患者进行以下评估：头晕障碍清单，活动特异性平衡置信量表，改良的TUG，感觉组织测试（SOT）和计算机动态姿势描记术的稳定性极限（LOS），自由视野结果使用Vertiguard装置进行人体摇摆分析和跌倒次数。结果：下落者有更长的时间来执行改良的TUG，并且需要更多的步骤。平均而言，跌倒者的SOT和LOS表现明显较差，Vertiguard装置显示跌倒的风险更高。根据接收器工作特性曲线下的面积，改进后的TUG中LOS的方向控制和步长的总体精度接近0.9（高精度）。此外，与SOT参数相比，使用Vertiguard设备进行评估可以更有效地识别跌倒者。讨论：我们的结果表明，LOS，移动体位成像（Vertiguard），SOT的前庭输入以及在改良的TUG中采取的步骤数对于识别PD患者中的跌倒者非常有用。

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