Department of Neurology, University of Colorado Denver, Aurora, CO, USA.
Colorado School of Public Health-Biostatistics and Informatics, Aurora, CO, USA.
J Electromyogr Kinesiol. 2022 Oct;66:102695. doi: 10.1016/j.jelekin.2022.102695. Epub 2022 Aug 22.
Fine motor impairments are frequent complaints in people with Parkinson's disease (PD). While they may develop at an early stage of the disease, they become more problematic as the disease progresses. Tremors and fine motor symptoms may seem related, but evidence suggests two distinct phenomena. The purpose of our study was to investigate the relationships between fine motor skills and clinical characteristics of PD patients. We hypothesized worse fine motor skills to be associated with greater motor severity that is independent of tremor. We measured fine motor abilities using the Grooved Pegboard test (GPT) in each hand separately and collected clinical and demographics data in a cohort of 82 persons with PD. We performed regression analyses between GPT scores and a range of outcomes: motor severity, time from diagnosis, age and tremors. We also explored similar associations using finger and hand dexterity scores from a standardized PD rating scale. Our results indicate that scores on the GPT for each hand, as measures of manual dexterity, are associated with motor severity and time from diagnosis. The presence of tremors was not a confounding factor, as hypothesized, but age was associated with GPT scores for the dominant hand. Motor severity was also associated with hand and finger dexterity as measured by single items from the clinical Parkinson's rating scale. These findings suggest that the GPT to be useful tool for motor severity assessments of people with PD.
精细运动障碍是帕金森病(PD)患者常见的主诉。虽然它们可能在疾病早期出现,但随着疾病的进展,它们会变得更加成问题。震颤和精细运动症状似乎有关联,但证据表明这是两种不同的现象。我们的研究目的是调查 PD 患者精细运动技能与临床特征之间的关系。我们假设精细运动技能较差与运动严重程度有关,而与震颤无关。我们使用Grooved Pegboard 测试(GPT)分别测量了每个手的精细运动能力,并在 82 名 PD 患者的队列中收集了临床和人口统计学数据。我们在 GPT 分数和一系列结果之间进行了回归分析:运动严重程度、从诊断到现在的时间、年龄和震颤。我们还使用标准化 PD 评定量表中的手指和手部灵巧性评分来探索类似的关联。我们的结果表明,作为手动灵巧度的测量指标,双手的 GPT 分数与运动严重程度和从诊断到现在的时间有关。震颤的存在并不是一个假设的混杂因素,但年龄与优势手的 GPT 分数有关。运动严重程度也与手部和手指灵巧性有关,这些指标是临床帕金森氏症评定量表中的单项测量结果。这些发现表明 GPT 可作为 PD 患者运动严重程度评估的有用工具。