Quantitative mobility measures complement the MDS-UPDRS for characterization of Parkinson's disease heterogeneity.
Quantitative mobility measures complement the MDS-UPDRS for characterization of Parkinson's disease heterogeneity.
复制标题
DOI：
10.1016/j.parkreldis.2021.02.006
复制
发表时间：
2021-03
影响因子：
4.1
通讯作者：
Shulman JM
中科院分区：
文献类型：
--
作者：
Hill EJ;Mangleburg CG;Alfradique-Dunham I;Ripperger B;Stillwell A;Saade H;Rao S;Fagbongbe O;von Coelln R;Tarakad A;Hunter C;Dawe RJ;Jankovic J;Shulman LM;Buchman AS;Shulman JM
新兴技术显示出增强帕金森病（PD）运动表现表征的前景。我们评估了可穿戴设备与传统运动评估（运动障碍协会-统一PD评定量表第三部分（运动MDS-PDRS））相比的定量运动测量。我们在常规门诊访视期间使用运动MDS-MRS和使用身体固定传感器（DynaPort MT，McRoberts BV）的10分钟运动方案评估了176名PD受试者（平均年龄65岁，65%男性，66% H&Y 2期），包括32英尺步行，定时起身和行走（TUG）和闭眼站立姿势。回归模型检查了12项定量活动性指标与以下各项的相关性：（i）运动性MDS-MRS，（ii）运动亚型（震颤显性与姿势不稳定/步态困难），（iii）蒙特利尔认知评估（莫卡）和（iv）身体功能障碍（PROMIS-29）。所有分析均包括年龄、性别和疾病持续时间作为协变量。对模型iii-iv进行了二次调整，以适应电机MDS-MLS。步态、TUG转换、转身和姿势的定量活动性测量与运动MDS-MRS（12项测量中的7项，p<0.05）和运动亚型（12项测量中的6项，p<0.05）显著相关。与运动型MDS-MRS相比，几种定量移动性测量分别导致认知或身体功能障碍的方差增加1.5倍或1.9倍。在运动MDS-MRS最低四分位数的轻度受损受试者中，包括步态检查正常的受试者，这些措施捕获了大量的残余运动异质性。使用可穿戴传感器的基于临床的定量移动性评估捕获了运动性能的特征，这些特征超出了使用运动MDS-MRS获得的特征，并且可以提供疾病异质性的增强表征。
Emerging technologies show promise for enhanced characterization of Parkinson’s Disease (PD) motor manifestations. We evaluated quantitative mobility measures from a wearable device compared to the conventional motor assessment, the Movement Disorders Society-Unified PD Rating Scale part III (motor MDS-UPDRS). We evaluated 176 PD subjects (mean age 65, 65% male, 66% H&Y stage 2) during routine clinic visits using the motor MDS-UPDRS and a 10-minute motor protocol with a body-fixed sensor (DynaPort MT, McRoberts BV), including the 32-ft walk, Timed Up and Go (TUG), and standing posture with eyes closed. Regression models examined 12 quantitative mobility measures for associations with (i) motor MDS-UPDRS, (ii) motor subtype (tremor dominant vs. postural instability/gait difficulty), (iii) Montreal Cognitive Assessment (MoCA), and (iv) physical functioning disability (PROMIS-29). All analyses included age, gender, and disease duration as covariates. Models iii-iv were secondarily adjusted for motor MDS-UPDRS. Quantitative mobility measures from gait, TUG transitions, turning, and posture were significantly associated with motor MDS-UPDRS (7 of 12 measures, p<0.05) and motor subtype (6 of 12 measures, p<0.05). Compared with motor MDS-UPDRS, several quantitative mobility measures accounted for a 1.5- or 1.9-fold increased variance in either cognition or physical functioning disability, respectively. Among minimally-impaired subjects in the bottom quartile of motor MDS-UPDRS, including subjects with normal gait exam, the measures captured substantial residual motor heterogeneity. Clinic-based quantitative mobility assessments using a wearable sensor captured features of motor performance beyond those obtained with the motor MDS-UPDRS and may offer enhanced characterization of disease heterogeneity.
登录
查看更多内容
REM睡眠行为障碍患者的微妙步态变化。
影响因子：
8.6
作者：
McDade, Eric M.;Boot, Brendon P.;Christianson, Teresa J. H.;Pankratz, V. Shane;Boeve, Bradley F.;Ferman, Tanis J.;Bieniek, Kevin;Hollman, John H.;Roberts, Rosebud O.;Mielke, Michelle M.;Knopman, David S.;Petersen, Ronald C.
通讯作者：
Petersen, Ronald C.
影响因子：
2.4
作者：
Mancini M;Carlson-Kuhta P;Zampieri C;Nutt JG;Chiari L;Horak FB
通讯作者：
Horak FB
影响因子：
5.1
作者：
Mancini, M.;Zampieri, C.;Horak, F. B.
通讯作者：
Horak, F. B.
影响因子：
11
作者：
Jankovic, Joseph;Tan, Eng King
通讯作者：
Tan, Eng King
影响因子：
8.6
作者：
Espay, Alberto J.;Hausdorff, Jeffrey M.;Maetzler, Walter
通讯作者：
Maetzler, Walter