The role of Personal KinetiGraph™ fluctuator score in quantifying the progression of motor fluctuations in Parkinson's disease.

Q2 Medicine Functional neurology Pub Date : 2019-01-01
E E Tan, E J Hogg, M Tagliati
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Abstract

Motor fluctuations (MF) are important determinants of quality of life in Parkinson's disease (PD). To determine whether the Personal Kineti Graph (PKG), a wearable motion tracking device, can define MF progression, we correlated PKG fluctuator scores (FS) with clinical motor fluctuator profiles in a case-control cohort study. 54 subjects completed a 6-day PKG trial and completed a standardized motor diary. We distinguished non-fluctuators (NF), early (EF), moderate (MF) and troublesome fluctuators (TF), based on Wearing Off Questionnaire and Movement Disorders Society-Unified Parkinson's Disease Rating Scale scores. PKG FS significantly differentiated EF and TF, as well as dyskinetic and non-dyskinetic subjects. Motor diaries could not distinguish the four study groups on the basis of average OFF time, while average time with dyskinesia distinguished NF and MF. In conclusion, PKG FS can distinguish EF from TF, as well as dyskinetic from non-dyskinetic patients, but cannot discriminate subtler MF. PKG may provide objective MF measures for routine PD management and clinical trials.

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Personal KinetiGraph™波动器评分在量化帕金森病运动波动进展中的作用
运动波动(MF)是帕金森病(PD)生活质量的重要决定因素。为了确定个人运动图(PKG),一种可穿戴运动跟踪设备,是否可以定义MF进展,我们在一项病例对照队列研究中将PKG波动因子评分(FS)与临床运动波动因子特征相关联。54名受试者完成了为期6天的PKG试验,并完成了标准化的运动日记。我们根据磨损问卷和运动障碍学会统一帕金森病评定量表评分区分无波动者(NF)、早期(EF)、中度(MF)和麻烦波动者(TF)。PKG FS显著区分EF和TF,以及运动障碍和非运动障碍受试者。运动日记不能根据平均OFF时间区分四个研究组,而运动障碍的平均时间区分NF和MF。综上所述,PKG FS可以区分EF和TF,以及运动障碍和非运动障碍患者,但不能区分轻微的MF。PKG可为PD的日常管理和临床试验提供客观的MF指标。
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来源期刊
Functional neurology
Functional neurology 医学-神经科学
CiteScore
3.90
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Information not localized
期刊最新文献
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