Banks Sarah J, Bayram Ece, Shan Guogen, LaBelle Denise R, Bluett Brent
Department of Neurosciences, University of California San Diego, San Diego, CA, USA.
Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, USA.
Gait Posture. 2019 Feb;68:311-316. doi: 10.1016/j.gaitpost.2018.12.009. Epub 2018 Dec 6.
The etiology of freezing of gait in Parkinson's disease (PD) is yet to be clarified. Non-motor risk factors including cognitive impairment, sleep disturbance and mood disorders have been shown in freezing of gait.
We aimed to determine the predictive value of non-motor features in freezing of gait development.
Data were obtained from the Parkinson's Progression Markers Initiative. Fifty PD patients with self-reported freezing of gait, and 50 PD patients without freezing of gait at the fourth year visit were included. Groups were matched for Movement Disorders Society-Unified Parkinson's Disease Rating Scale Part III scores. Several cognitive and non-cognitive tests were used for non-motor features at baseline and over time. Executive function, visuospatial function, processing speed, learning and memory tests were used for cognition. Non-cognitive tests included sleepiness, REM sleep behavior disorder, depression and anxiety scales.
Patients with freezing of gait had higher scores on sleepiness, REM sleep behavior disorder, depression and anxiety scales. However, predictor model analysis revealed that baseline processing speed, learning and sleepiness scores were predictive of self-reported freezing of gait development over time.
Our findings suggest that specific cognitive deficits and sleep disorders are predictive of future freezing of gait. These features may be helpful in identifying underlying networks in freezing of gait and should be further investigated with neuroimaging studies.
帕金森病(PD)中冻结步态的病因尚未明确。包括认知障碍、睡眠障碍和情绪障碍在内的非运动风险因素已在冻结步态中有所体现。
我们旨在确定非运动特征在冻结步态发展中的预测价值。
数据来自帕金森病进展标志物倡议项目。纳入了50例自我报告有冻结步态的PD患者以及50例在第四次随访时无冻结步态的PD患者。两组在运动障碍协会统一帕金森病评定量表第三部分得分上进行匹配。在基线和随访期间,使用了多种认知和非认知测试来评估非运动特征。执行功能、视觉空间功能、处理速度、学习和记忆测试用于评估认知。非认知测试包括嗜睡、快速眼动睡眠行为障碍、抑郁和焦虑量表。
有冻结步态的患者在嗜睡、快速眼动睡眠行为障碍、抑郁和焦虑量表上得分更高。然而,预测模型分析显示,基线处理速度、学习和嗜睡得分可预测随时间推移自我报告的冻结步态发展情况。
我们的研究结果表明,特定的认知缺陷和睡眠障碍可预测未来的冻结步态。这些特征可能有助于识别冻结步态的潜在神经通路,应通过神经影像学研究进一步探究。