Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Mov Disord. 2012 Aug;27(9):1146-52. doi: 10.1002/mds.25101. Epub 2012 Jun 28.
The aim of this study was to identify the motor, cognitive, and behavioral determinants of driving status and risk factors for driving cessation in Huntington's disease (HD). Seventy-four patients with HD were evaluated for cognitive, motor, psychiatric, and functional status using a standardized battery (Unified Huntington's Disease Rating Scale [UHDRS] and supplemental neuropsychological testing) during a research clinic visit. Chart review was used to categorize patients into two driving status categories: (1) "currently driving" included those driving and driving but with clinician recommendation to restrict, and (2) "not driving" included those with clinician recommendation to cease driving and those not currently driving because of HD. Multi- and univariate logistic regression was used to identify significant clinical predictors of those driving versus not driving. Global cognitive performance and UHDRS Total Functional Capacity scores provided the best predictive model of driving cessation (Nagelkerke R(2) = 0.65; P < 0.0001). Measures of learning (P = 0.006) and psychomotor speed/attention (P = 0.003) accounted for the overall cognitive finding. In univariate analyses, numerous cognitive, motor, and daily functioning items were significantly associated with driving. Although driving status is associated with many aspects of the disease, results suggest that the strongest association is with cognitive performance. A detailed cognitive evaluation is an important component of multidisciplinary clinical assessment in patients with HD who are driving.
本研究旨在确定亨廷顿病(HD)患者的运动、认知和行为决定因素,以及导致驾驶能力丧失的风险因素。74 名 HD 患者在研究门诊就诊期间,使用标准化电池(统一亨廷顿病评定量表[UHDRS]和补充神经心理学测试)评估认知、运动、精神和功能状态。通过病历回顾,将患者分为两类驾驶状态:(1)“当前驾驶”包括正在驾驶和有医生建议限制驾驶的患者,(2)“不驾驶”包括有医生建议停止驾驶和因 HD 而不驾驶的患者。多变量和单变量逻辑回归用于确定驾驶与不驾驶的显著临床预测因素。总体认知表现和 UHDRS 总功能能力评分提供了最佳的驾驶能力丧失预测模型(Nagelkerke R²=0.65;P<0.0001)。学习能力(P=0.006)和心理运动速度/注意力(P=0.003)的测量结果解释了整体认知发现。在单变量分析中,许多认知、运动和日常功能项目与驾驶显著相关。尽管驾驶状态与疾病的许多方面有关,但结果表明,与认知表现的关联最强。详细的认知评估是对正在驾驶的 HD 患者进行多学科临床评估的重要组成部分。