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基于平板电脑的帕金森病运动波动客观测量应用程序。

Tablet-Based Application for Objective Measurement of Motor Fluctuations in Parkinson Disease.

作者信息

Wissel Benjamin D, Mitsi Georgia, Dwivedi Alok K, Papapetropoulos Spyridon, Larkin Sydney, López Castellanos José Ricardo, Shanks Emily, Duker Andrew P, Rodriguez-Porcel Federico, Vaughan Jennifer E, Lovera Lilia, Tsoulos Ioannis, Stavrakoudis Athanassios, Espay Alberto J

机构信息

Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA.

Apptomics Inc., Wellesley Hills, Massachusetts, USA.

出版信息

Digit Biomark. 2018 Jan 9;1(2):126-135. doi: 10.1159/000485468. eCollection 2017 Oct-Dec.

Abstract

BACKGROUND

The motor subscale of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS-III) has limited applicability for the assessment of motor fluctuations in the home setting.

METHODS

To assess whether a self-administered, tablet-based application can reliably quantify differences in motor performance using two-target finger tapping and forearm pronation-supination tasks in the ON (maximal dopaminergic medication efficacy) and OFF (reemergence of parkinsonian deficits) medication states, we recruited 11 Parkinson disease (PD) patients (age, 60.6 ± 9.0 years; disease duration, 12.8 ± 4.1 years) and 11 healthy age-matched controls (age, 62.5 ± 10.5 years). The total number of taps, tap interval, tap duration, and tap accuracy were algorithmically calculated by the application, using the more affected side in patients and the dominant hand in healthy controls.

RESULTS

Compared to the OFF state, PD patients showed a higher number of taps (84.2 ± 20.3 vs. 54.9 ± 26.9 taps; = 0.0036) and a shorter tap interval (375.3 ± 97.2 vs. 708.2 ± 412.8 ms; = 0.0146) but poorer tap accuracy (2,008.4 ± 995.7 vs. 1,111.8 ± 901.3 pixels; = 0.0055) for the two-target task in the ON state, unaffected by the magnitude of coexistent dyskinesia. Overall, test-retest reliability was high ( >0.75) and the discriminatory ability between OFF and ON states was good (0.60 ≤ AUC ≤ 0.82). The correlations between tapping data and MDS-UPDRS-III scores were only moderate (-0.55 to 0.55).

CONCLUSIONS

A self-administered, tablet-based application can reliably distinguish between OFF and ON states in fluctuating PD patients and may be sensitive to additional motor phenomena, such as accuracy, not captured by the MDS-UPDRS-III.

摘要

背景

运动障碍协会统一帕金森病评定量表(MDS-UPDRS-III)的运动亚量表在家庭环境中评估运动波动的适用性有限。

方法

为了评估基于平板电脑的自我管理应用程序能否通过双目标手指敲击和前臂旋前-旋后任务可靠地量化帕金森病患者在服药开启状态(最大多巴胺能药物疗效)和服药关闭状态(帕金森病症状重现)下运动表现的差异,我们招募了11名帕金森病(PD)患者(年龄60.6±9.0岁;病程12.8±4.1年)和11名年龄匹配的健康对照者(年龄62.5±10.5岁)。应用程序通过算法计算敲击总数、敲击间隔、敲击持续时间和敲击准确性,患者使用受累较重的一侧,健康对照者使用优势手。

结果

与服药关闭状态相比,PD患者在服药开启状态下双目标任务的敲击次数更多(84.2±20.3次对54.9±26.9次;P = 0.0036)、敲击间隔更短(375.3±97.2毫秒对708.2±412.8毫秒;P = 0.0146),但敲击准确性较差(2008.4±995.7像素对1111.8±901.3像素;P = 0.0055),不受并存异动症严重程度的影响。总体而言,重测信度较高(>0.75),服药关闭和开启状态之间的鉴别能力良好(0.60≤AUC≤0.82)。敲击数据与MDS-UPDRS-III评分之间的相关性仅为中等(-0.55至0.55)。

结论

基于平板电脑的自我管理应用程序能够可靠地区分帕金森病波动患者的服药关闭和开启状态,并且可能对MDS-UPDRS-III未涵盖的其他运动现象(如准确性)敏感。

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