TY  - JOUR
PY  - 2013//
TI  - Prediction of on-road driving ability after traumatic brain injury and stroke
JO  - European journal of neurology
A1  - Aslaksen, P. M.
A1  - Orbo, M.
A1  - Elvestad, R.
A1  - Schäfer, C.
A1  - Anke, A.
SP  - 1227
EP  - 1233
VL  - 20
IS  - 9
N2  - BACKGROUND AND PURPOSE: The aim of the study was to examine the predictive value of widely used standardized neuropsychological tests in a clinical setting for on-road driving performance in patients with cerebral stroke or traumatic brain injury (TBI), and to provide cut-off values for neuropsychological test results under which driving should not be recommended. METHODS: Data from 78 patients who had undergone comprehensive driving assessment after stroke or TBI were retrospectively included in the analysis. Patients underwent medical examination, neuropsychological testing and on-road assessment. Medical data, demographic variables and neuropsychological performance were used as predictors in a stepwise logistic regression analysis with pass/fail after the on-road test as the dependent variable. Receiver operating characteristic curve analysis was employed to select cut-off values for the tests that were significant predictors for on-road performance. RESULTS: Forty-three patients passed and 35 failed the on-road driving task. Logistic regression analysis revealed three significant neuropsychological tests (CalCap simple reaction time, Trail Making Test A, Grooved Pegboard) as predictors for on-road performance explaining 46% of the variance with an overall classification accuracy of 82.1%. Receiver operating characteristic curve analysis showed the following cut-off values: CalCap, 395 ms; Trail Making Test A, 46 s; Grooved Pegboard, 97.5 s. CONCLUSION: The results suggest that driving ability after brain damage and cerebral disease with no severe neurological deficits can be measured with a few distinctive neuropsychological tests together with medical examination and on-road assessment. Cut-off scores are a useful supplement to normative data/scaled scores.<p />  <p>Language: en</p>
LA  - en
SN  - 1351-5101
UR  - http://dx.doi.org/10.1111/ene.12172
ID  - ref1
ER  -