Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA.
Wayne State University, Departments of Health Care Sciences and Neurology, Detroit, MI, USA.
Clin Biomech (Bristol). 2022 Jun;96:105658. doi: 10.1016/j.clinbiomech.2022.105658. Epub 2022 Apr 26.
Postural control impairments begin early in Huntington's disease yet measures most sensitive to progression have not been identified. The aims of this study were to: 1) evaluate postural control and gait in people with and without Huntington's disease using wearable sensors; and 2) identify measures related to diagnosis and clinical severity.
43 individuals with Huntington's disease and 15 age-matched peers performed standing with feet together and feet apart, sitting, and walking with wearable inertial sensors. One-way analysis of variance determined differences in measures of postural control and gait between early and mid-disease stage, and non-Huntington's disease peers. A random forest analysis identified feature importance for Huntington's disease diagnosis. Stepwise and ordinal regressions were used to determine predictors of clinical chorea and tandem walking scores respectively.
There was a significant main effect for all postural control and gait measures comparing early stage, mid stage and non-Huntington's disease peers, except for gait cycle duration and step duration. Total sway, root mean square and mean velocity during sitting, as well as gait speed had the greatest importance in classifying disease status. Stepwise regression showed that root mean square during standing with feet apart significantly predicted clinical measure of chorea, and ordinal regression model showed that root mean square and total sway standing feet together significantly predicted clinical measure of tandem walking.
Root mean square measures obtained in sitting and standing using wearable sensors have the potential to serve as biomarkers of postural control impairments in Huntington's disease.
姿势控制障碍在亨廷顿病早期就开始出现,但尚未确定最能反映疾病进展的测量方法。本研究的目的是:1)使用可穿戴传感器评估亨廷顿病患者和无亨廷顿病患者的姿势控制和步态;2)确定与诊断和临床严重程度相关的测量方法。
43 名亨廷顿病患者和 15 名年龄匹配的健康对照者使用可穿戴惯性传感器进行并足站立、分足站立、坐立和行走。单因素方差分析确定了早期和中期亨廷顿病患者与非亨廷顿病对照者之间的姿势控制和步态测量值的差异。随机森林分析确定了用于亨廷顿病诊断的特征重要性。逐步和有序回归分别用于确定运动徐缓和串联行走评分的预测因子。
除了步态周期持续时间和步幅持续时间外,所有姿势控制和步态测量值在早期、中期和非亨廷顿病对照组之间的比较中都有显著的主效应。坐姿时的总摆动、均方根和平均速度,以及步态速度在疾病状态分类中具有最大的重要性。逐步回归显示,分足站立时的均方根显著预测舞蹈运动的临床指标,有序回归模型显示,站立时并足的均方根和总摆动显著预测串联行走的临床指标。
使用可穿戴传感器获得的坐姿和站立位的均方根测量值有可能成为亨廷顿病姿势控制障碍的生物标志物。