Adams Jamie L, Dinesh Karthik, Xiong Mulin, Tarolli Christopher G, Sharma Saloni, Sheth Nirav, Aranyosi A J, Zhu William, Goldenthal Steven, Biglan Kevin M, Dorsey E Ray, Sharma Gaurav
Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Center for Health and Technology, University of Rochester Medical Center, Rochester, New York, USA.
Digit Biomark. 2017 Aug 17;1(1):52-63. doi: 10.1159/000479018. eCollection 2017 Sep-Dec.
Clinician rating scales and patient-reported outcomes are the principal means of assessing motor symptoms in Parkinson disease and Huntington disease. However, these assessments are subjective and generally limited to episodic in-person visits. Wearable sensors can objectively and continuously measure motor features and could be valuable in clinical research and care.
We recruited participants with Parkinson disease, Huntington disease, and prodromal Huntington disease (individuals who carry the genetic marker but do not yet exhibit symptoms of the disease), and controls to wear 5 accelerometer-based sensors on their chest and limbs for standardized in-clinic assessments and for 2 days at home. The study's aims were to assess the feasibility of use of wearable sensors, to determine the activity (lying, sitting, standing, walking) of participants, and to survey participants on their experience.
Fifty-six individuals (16 with Parkinson disease, 15 with Huntington disease, 5 with prodromal Huntington disease, and 20 controls) were enrolled in the study. Data were successfully obtained from 99.3% (278/280) of sensors dispatched. On average, individuals with Huntington disease spent over 50% of the total time lying down, substantially more than individuals with prodromal Huntington disease (33%, = 0.003), Parkinson disease (38%, = 0.01), and controls (34%; < 0.001). Most (86%) participants were "willing" or "very willing" to wear the sensors again.
Among individuals with movement disorders, the use of wearable sensors in clinic and at home was feasible and well-received. These sensors can identify statistically significant differences in activity profiles between individuals with movement disorders and those without. In addition, continuous, objective monitoring can reveal disease characteristics not observed in clinic.
临床医生评定量表和患者报告结局是评估帕金森病和亨廷顿病运动症状的主要手段。然而,这些评估是主观的,并且通常限于偶尔的面对面就诊。可穿戴传感器能够客观且持续地测量运动特征,在临床研究和医疗中可能具有重要价值。
我们招募了帕金森病、亨廷顿病和前驱期亨廷顿病(携带遗传标记但尚未出现疾病症状的个体)患者以及对照组,让他们在胸部和四肢佩戴5个基于加速度计的传感器,用于标准化的门诊评估以及在家中佩戴2天。该研究的目的是评估使用可穿戴传感器的可行性,确定参与者的活动情况(躺、坐、站、行走),并就参与者的体验进行调查。
56名个体(16名帕金森病患者、15名亨廷顿病患者、5名前驱期亨廷顿病患者和20名对照组)参与了该研究。从所发放的传感器中成功获取了99.3%(278/280)的数据。平均而言,亨廷顿病患者躺下的时间占总时间的50%以上,显著多于前驱期亨廷顿病患者(33%,P = 0.003)、帕金森病患者(38%,P = 0.01)和对照组(34%;P < 0.001)。大多数(86%)参与者“愿意”或“非常愿意”再次佩戴传感器。
在患有运动障碍的个体中,在门诊和家中使用可穿戴传感器是可行的且受到好评。这些传感器能够识别出运动障碍患者与非运动障碍患者在活动模式上具有统计学意义的差异。此外,持续、客观的监测能够揭示在门诊未观察到的疾病特征。