Classen Sherrilene, Brumback Babette, Crawford Karla, Jenniex Sara
University of Florida, Gainesville, USA.
University of Western Ontario, London, Canada.
OTJR (Thorofare N J). 2019 Oct;39(4):257-265. doi: 10.1177/1539449219836689. Epub 2019 Mar 24.
This study determined whether the Useful Field of View™ Risk Index (UFOV RI) adds value as a predictor of on-road outcomes in drivers with Parkinson's disease (PD) and compared with community-dwelling older drivers (Controls). A total of 101 PD drivers and 138 Controls underwent a comprehensive driving evaluation, including an on-road assessment. Logistic regression analyses determined the associations of age, gender, visual attention, and disease severity to on-road outcomes. Receiver operating characteristic curve analyses determined the optimal UFOV RI cut points to predict on-road outcomes. Above adding age and gender, the UFOV RI alone predicted on-road outcomes in PD, while the UFOV RI and age predicted on-road outcomes in Controls. Regardless of disease severity, visual attention was more impaired in PD than in Controls. The UFOV RI cut point of 3 provided the fewest misclassifications ( = 25) in PD. The UFOV RI is a valid screening predictor of on-road outcomes across PD drivers of different disease severity, but has moderate sensitivity and specificity.
本研究旨在确定有用视野风险指数(UFOV RI)作为帕金森病(PD)患者道路驾驶结果预测指标是否具有额外价值,并与社区居住的老年驾驶员(对照组)进行比较。共有101名PD患者驾驶员和138名对照者接受了包括道路评估在内的全面驾驶评估。逻辑回归分析确定了年龄、性别、视觉注意力和疾病严重程度与道路驾驶结果之间的关联。受试者工作特征曲线分析确定了预测道路驾驶结果的最佳UFOV RI切点。除了年龄和性别外,UFOV RI单独就能预测PD患者的道路驾驶结果,而UFOV RI和年龄能预测对照组的道路驾驶结果。无论疾病严重程度如何,PD患者的视觉注意力受损程度均高于对照组。UFOV RI切点为3时,PD患者的错误分类最少(=25)。UFOV RI是不同疾病严重程度的PD患者道路驾驶结果的有效筛查预测指标,但敏感性和特异性中等。