Funding agencies: This work was supported by the University of Iowa Huntington Disease Society of America Center of Excellence, National Institute of Neurological Disorders and Stroke (grant no.: NS040068; principal investigator: J.S.P.), and the CHDI Foundation; University of Iowa Center for Research by Undergraduates fellowship (to L.P.).
Article first published online: 28 JUN 2012
Copyright © 2012 Movement Disorder Society
Volume 27, Issue 9, pages 1146–1152, August 2012
How to Cite
Beglinger, L. J., Prest, L., Mills, J. A., Paulsen, J. S., Smith, M. M., Gonzalez-Alegre, P., Rowe, K. C., Nopoulos, P. and Uc, E. Y. (2012), Clinical predictors of driving status in Huntington's disease. Mov. Disord., 27: 1146–1152. doi: 10.1002/mds.25101
Relevant conflicts of interest/financial disclosures: Nothing to report.
Full financial disclosures and author roles may be found in the online version of this article.
- Issue published online: 3 AUG 2012
- Article first published online: 28 JUN 2012
- Manuscript Accepted: 4 JUN 2012
- Manuscript Revised: 13 APR 2012
- Manuscript Received: 23 SEP 2011
- Huntington's disease;
- neuropsychological assessment;
- cognitive disorders/dementia
The aim of this study was to identify the motor, cognitive, and behavioral determinants of driving status and risk factors for driving cessation in Huntington's disease (HD). Seventy-four patients with HD were evaluated for cognitive, motor, psychiatric, and functional status using a standardized battery (Unified Huntington's Disease Rating Scale [UHDRS] and supplemental neuropsychological testing) during a research clinic visit. Chart review was used to categorize patients into two driving status categories: (1) “currently driving” included those driving and driving but with clinician recommendation to restrict, and (2) “not driving” included those with clinician recommendation to cease driving and those not currently driving because of HD. Multi- and univariate logistic regression was used to identify significant clinical predictors of those driving versus not driving. Global cognitive performance and UHDRS Total Functional Capacity scores provided the best predictive model of driving cessation (Nagelkerke R2 = 0.65; P < 0.0001). Measures of learning (P = 0.006) and psychomotor speed/attention (P = 0.003) accounted for the overall cognitive finding. In univariate analyses, numerous cognitive, motor, and daily functioning items were significantly associated with driving. Although driving status is associated with many aspects of the disease, results suggest that the strongest association is with cognitive performance. A detailed cognitive evaluation is an important component of multidisciplinary clinical assessment in patients with HD who are driving. © 2012 Movement Disorder Society