用于预测帕金森病患者驾驶表现的筛查工具的实用性。
Usefulness of screening tools for predicting driving performance in people with Parkinson's disease.
机构信息
Institute for Mobility, Activity and Participation, University of Florida, PO Box 100164, Gainesville, FL 32611-0164, USA.
出版信息
Am J Occup Ther. 2011 Sep-Oct;65(5):579-88. doi: 10.5014/ajot.2011.001073.
OBJECTIVE
We used screening tests administered by a certified driving rehabilitation specialist and by Parkinson's disease (PD) specialty neurologists to develop a model to predict on-road outcomes for patients with PD.
METHOD
We administered a battery of screening tests to 41 patients with PD and 41 age-matched control participants before on-road testing. We used statistical models to predict actual on-road performance.
RESULTS
The PD group had a higher failure rate, indicating more on-road errors. For the PD participants, the Useful Field of View (UFOV) Subtest 2 and Rapid Pace Walk were responsible for most of the variance in the on-road test. The model accurately categorized pass-fail outcomes for 81% of PD patients.
CONCLUSION
Clinical screening batteries may be predictive of driving performance in PD. The UFOV Subtest 2, administered in approximately 15 min, may be the single most useful clinical test for such predictions.
目的
我们使用经认证的驾驶康复专家和帕金森病（PD）专科医生进行的筛选测试，开发了一种预测 PD 患者道路测试结果的模型。
方法
我们在道路测试前对 41 名 PD 患者和 41 名年龄匹配的对照组参与者进行了一系列筛选测试。我们使用统计模型来预测实际的道路表现。
结果
PD 组的失败率较高，表明道路上的错误更多。对于 PD 参与者，有用视野测试（UFOV）第 2 项子测试和快速步伐步行测试是导致道路测试中大部分差异的原因。该模型准确地对 81%的 PD 患者的通过/失败结果进行了分类。
结论
临床筛选测试可能可以预测 PD 患者的驾驶表现。大约 15 分钟即可完成的 UFOV 第 2 项子测试可能是此类预测中最有用的单一临床测试。
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