Predictors of driving in individuals with relapsing–remitting multiple sclerosis

Multiple Sclerosis Journal - Tập 19 Số 3 - Trang 344-350 - 2013
Abiodun Akinwuntan1,2, Hannes Devos3, Lara M. Stepleman4, Rhonda S. Casillas4, Rebecca Rahn1, Suzanne Smith1, Mitzi Williams5
1Department of Neurology, Georgia Health Sciences University, Augusta, USA
2Department of Physical Therapy, Georgia Health Sciences University, Augusta, USA
3Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Belgium
4Department of Psychiatry, Georgia Health Sciences University, Augusta, USA
5MS Center of Atlanta, USA

Tóm tắt

Background: We previously reported that performance on the Stroke Driver Screening Assessment (SDSA), a battery of four cognitive tests that takes less than 30 min to administer, predicted the driving performance of participants with multiple sclerosis (MS) on a road test with 86% accuracy, 80% sensitivity, and 88% specificity. Objectives: In this study, we further investigated if the addition of driving-related physical and visual tests and other previously identified cognitive predictors, including performance on the Useful Field of View test, will result in a better accuracy of predicting participants’ on-road driving performance. Methods: Forty-four individuals with relapsing–remitting MS (age = 46 ± 11 years, 37 females) and Expanded Disability Status Scale values between 1 and 7 were administered selected physical, visual and cognitive tests including the SDSA. The model that explained the highest variance of participants’ performance on a standardized road test was identified using multiple regression analysis. A discriminant equation containing the tests included in the best model was used to predict pass or fail performance on the test. Results: Performance on 12 cognitive and three visual tests were significantly associated with performance on the road test. Five of the tests together explained 59% of the variance and predicted the pass or fail outcome of the road test with 91% accuracy, 70% sensitivity, and 97% specificity. Conclusion: Participants’ on-road performance was more accurately predicted by the model identified in this study than using only performance on the SDSA test battery. The five psychometric/off-road tests should be used as a screening battery, after which a follow-up road test should be conducted to finally decide the fitness to drive of individuals with relapsing–remitting MS. Future studies are needed to confirm and validate the findings in this study.

Từ khóa


Tài liệu tham khảo

10.1034/j.1600-0404.2002.1o165.x

10.1053/apmr.2002.34279

10.1159/000073057

10.1016/j.apmr.2008.12.017

10.1016/j.apmr.2009.09.026

10.1212/WNL.56.8.1089

10.1053/apmr.2002.33730

10.1111/1467-9450.00179

10.1177/1352458507080467

10.1016/j.apmr.2007.12.049

10.1016/j.apmr.2009.09.021

10.1080/0963828031000062651

10.5014/ajot.60.4.428

Akinwuntan AE, 2012, Int J Mult Scler

10.5014/ajot.64.1.114

10.1093/brain/112.2.283

10.1212/WNL.33.11.1444

State of Georgia, USA Licensing Requirements: Available at: http://www.nhtsa.dot.gov/people/injury/olddrive/OlderDriversBook/pages/Georgia.htm (last accessed 01/16/2012).

10.1016/0022-3956(75)90026-6

10.1177/135245859900500409

10.1016/j.acn.2005.07.003

10.1037/h0054651

10.1016/S0887-6177(03)00039-8

10.1111/j.1600-0447.1983.tb09716.x

10.1177/135245859900500410

10.1076/clin.13.1.30.1976

10.1016/S0166-4115(08)60472-0

Jackson S. Research methods and statistics: a critical thinking approach. 3rd ed. Wadsworth: Cengage Learning, 2009, p.142.

SAS version 9.2. SAS Institute Inc., SAS Campus Drive, Cary, North Carolina, 2008.

10.1212/WNL.0b013e31820d6300

10.1212/01.wnl.0000277640.58685.fc

10.1002/gps.1604

Lezak MD, 2004, Neuropsychological assessment, 4

10.1111/j.1532-5415.2005.00471.x

10.1002/ana.20958

10.1111/j.1475-1313.1987.tb01018.x

10.1136/bmj.307.6902.482

10.1080/09638280310001629633

10.1080/02699050310001657394

2009 National statistics on patient and hospital characteristics for all diagnosis of Multiple Sclerosis. Available at: http://hcupnet.ahrq.gov/HCUPnet.jsp (last accessed 01/16/2012).