Predictors of fitness to drive in people with Parkinson disease

Objective: To develop an efficient clinical screening battery to accurately predict the fitness to drive in people with Parkinson disease ( PD). Methods: This prospective study included 80 participants: 40 patients with PD and 40 healthy age- and sex- matched control subjects. All participants were assessed using a driving simulator, a driving history survey, and the Clinical Dementia Rating. The patients with PD also underwent a clinical test battery and an evaluation of fitness to drive performed by an official center, which included visual, cognitive, and on- road tests. A two- class decision from this driving assessment center was the main outcome measure. Results: A screening battery assessing four clinical variables ( disease duration, contrast sensitivity, Clinical Dementia Rating, and motor part of the Unified Parkinson's Disease Rating Scale) provided the best model ( R-2 = 0.52) to predict the fitness to drive and correctly classified 36 ( 90%) of the patients with PD as pass or fail ( sensitivity = 91%, specificity = 90%). The Test Ride for Investigating Practical fitness to drive ( TRIP) driving simulator score discriminated significantly between drivers with PD and their healthy peers ( p = 0.0008). When the TRIP driving simulator score was added to the clinical model, the total explained variance increased ( R2 = 0.60) and correctly classified 39 ( 97.5%) of drivers with PD into the pass/ fail category ( sensitivity = 91%, specificity = 100%). Conclusions: A short clinical screening battery that measures disease duration, contrast sensitivity, cognitive and motor functions can predict fitness to drive in people with Parkinson disease with a high degree of accuracy.