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Published on: December 16, 2022
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Predictors of Track Test Performance in Drivers with Stroke
Yasutaka Kobayashi1, Yutaro Omokute, Akiyo Mitsuyama
1Fukui General Hospital, Department of Rehabilitation Medicine, Fukui, Japan.
Turkish Neurosurgery
|September 6, 2016
Summary
Neuropsychological tests help assess stroke survivors
Area of Science:
- Neurorehabilitation
- Clinical Neurology
- Traffic Safety
Background:
- Stroke survivors often face challenges in resuming driving.
- Objective assessment is crucial for determining driving eligibility post-stroke.
Purpose of the Study:
- To identify in-house assessment criteria for predicting driving test outcomes in stroke patients.
- To evaluate the utility of neuropsychological tests in this context.
Main Methods:
- 181 stroke patients without significant motor impairment were studied.
- Participants underwent neuropsychological testing, a driving simulator test, and a track test.
- Logistic regression analysis was used to identify predictive factors.
Main Results:
- Patients unable to drive performed worse on most neuropsychological tests.
- The Symbol Digit Modalities Test (SDMT) was a significant predictor of driving ability (OR=1.05, p=0.028).
- SDMT achievement rate < 37.3% showed 65% sensitivity and 79% specificity for driving inability.
Conclusions:
- Neuropsychological tests are valuable for assessing driving readiness in stroke survivors.
- The SDMT is a highly suitable tool for predicting driving test outcomes.
