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- Title
PREDICTION OF RETURN TO DRIVING AFTER FIRST-EVER STROKE IN KOREA: THE KOSCO STUDY.
- Authors
Sungju JEE; Min Kyun SOHN; Jongmin LEE; Deog Young KIM; Sam-Gyu LEE; Yong-Il SHIN; Gyung-Jae OH; Yang-Soo LEE; Min Cheol JOO; Eun Young HAN; Yun-Hee KIM
- Abstract
Objective: To identify contributing factors that can be used to predict which patients with first-ever stroke will return to driving during 1 year after stroke. Design: Multicentre cohort study. Subjects: A total of 620 first-ever stroke patients who drove before stroke. Methods: The Stroke Cohort for Functioning and Rehabilitation is a large, multicentre, prospective cohort study of all patients with acute first-ever stroke admitted to participating hospitals in 9 areas of Korea. This study analysed the data from 1,354 patients who completed a face-to-face survey about return to driving at 1 year after stroke. A multiple binary logistic regression analysis model was used to analyse factors that potentially influenced return to driving during 12 months after stroke. Results: Of 620 subjects, 410 (66.1%) returned to driving after stroke. They resumed driving at a mean of 2.15 months after stroke (standard deviation 2.32 years). Regression models showed that sex, age, modified Rankin scale (mRS), education about return to driving, and Fugl-Meyer Assessment (FMA) were significantly related to return to driving. Stroke type, ambulatory function, and language function at 7 days were not correlated with return to driving. Conclusion: Male patients, education about return to driving, lower mRS, and higher FMA at 7 days after stroke are predictors of return to driving. This model could be used by clinicians to help counsel patients and their families.
- Subjects
SOUTH Korea; AGE distribution; AUTOMOBILE driving; CHI-squared test; CONFIDENCE intervals; FORECASTING; LIFE skills; LONGITUDINAL method; NEUROPSYCHOLOGICAL tests; MEDICAL cooperation; PROBABILITY theory; QUESTIONNAIRES; RESEARCH; SEX distribution; T-test (Statistics); TIME; LOGISTIC regression analysis; RECEIVER operating characteristic curves; DATA analysis software; STROKE rehabilitation; DESCRIPTIVE statistics; ODDS ratio; NIH Stroke Scale
- Publication
Journal of Rehabilitation Medicine (Stiftelsen Rehabiliteringsinformation), 2018, Vol 50, Issue 9, p800
- ISSN
1650-1977
- Publication type
Article
- DOI
10.2340/16501977-2373