Caligiuri Michael, Culbert Braden, Prasad Nikita, Snell Chase, Hall Andrew, Smirnova Anna, Churchill Emma, Corey-Bloom Jody
Department of Psychiatry, UC San Diego, La Jolla, CA, USA.
Department of Neurosciences, UC San Diego, La Jolla, CA, USA.
J Huntingtons Dis. 2023;12(3):283-292. doi: 10.3233/JHD-230562.
Prior studies have relied on conventional observer-based severity ratings such as the Unified Huntington's Disease Rating Scale (UHDRS) to identify early motor markers of decline in Huntington's disease (HD).
The present study examined the predictive utility of graphomotor measures handwriting and drawing movements.
Seventeen gene-positive premanifest HD subjects underwent comprehensive clinical, cognitive, motor, and graphomotor assessments at baseline and at follow-up intervals ranging from 9-36 months. Baseline graphomotor assessments were subjected to linear multiple regression procedures to identify factors associated with change on the comprehensive UHDRS index.
Subjects were followed for an average of 21.2 months. Three multivariate regression models based on graphomotor variables derived from a complex loop task, a maximum speed circle drawing task and a combined task returned adjusted R2 coefficients of 0.76, 0.71, and 0.80 respectively accounting for a significant portion of the variability in cUHDRS change score. The best-fit model based on the combined tasks indicated that greater decline on the cUHDRS was associated with increased pen movement dysfluency and stroke-stroke variability at baseline.
Performance on multiple measures of graphomotor dysfluency assessed during the premanifest or prodromal stage in at-risk HD individuals was associated with decline on a multidimensional index of HD morbidity preceding an HD diagnosis.
先前的研究依赖于传统的基于观察者的严重程度评分,如统一亨廷顿病评定量表(UHDRS)来识别亨廷顿病(HD)病情恶化的早期运动标志物。
本研究检验了书写运动测量(笔迹和绘图动作)的预测效用。
17名基因阳性的症状前HD受试者在基线以及9至36个月的随访间隔期接受了全面的临床、认知、运动和书写运动评估。对基线书写运动评估进行线性多元回归分析,以确定与综合UHDRS指数变化相关的因素。
受试者平均随访21.2个月。基于复杂环路任务、最大速度画圆任务和组合任务得出的书写运动变量建立的三个多元回归模型,调整后的R2系数分别为0.76、0.71和0.80,分别解释了综合UHDRS变化分数中很大一部分的变异性。基于组合任务的最佳拟合模型表明,基线时综合UHDRS下降幅度更大与笔运动流畅性降低和笔画间变异性增加有关。
在有HD风险的个体症状前或前驱期评估的多种书写运动流畅性测量指标的表现,与HD诊断前HD发病率的多维指数下降有关。