Classification of Mild Stroke: A Mapping Review.

Persons with mild stroke experience motor and cognitive impairments that negatively affect their health and quality of life. To address these deficits, it is essential for clinicians and researchers to precisely identify mild stroke survivors. Despite the fact that half of all strokes are categorized as mild, no standards exist on what constitutes a "mild" stroke. The purpose of this study is to summarize the current classification of mild stroke using a mapping review approach. Strategies to categorize "mild stroke" severity were explored in 188 papers indexed in the PubMed database. The results indicate that there was substantial variability in the procedures and scoring criteria used to determine mild stroke. To identify persons with mild stroke, researchers have largely applied assessment instruments developed to inform acute stroke care (eg, National Institutes of Health Stroke Scale, Modified Rankin Scale, Barthel Index). Unfortunately, these approaches demonstrate floor effects and fail to detect the long-term disabling impairments that often limit the outcomes of mild stroke survivors. Additional research is warranted to suggest an evidence-based mild stroke categorization strategy that enhances diagnosis, treatment, and referral decisions to the benefit of mild stroke survivors.

The Impact of Advanced Age on Driving Safety in Adults with Medical Conditions.

BACKGROUND: Adults aged 85 and older, often referred to as the oldest-old, are the fastest-growing segment of the population. The rapidly increasing number of older adults with chronic and multiple medical conditions poses challenges regarding their driving safety. OBJECTIVE: To investigate the effect of advanced age on driving safety in drivers with medical conditions. METHODS: We categorized 3,425 drivers with preexisting medical conditions into four age groups: middle-aged (55-64 years, n = 1,386), young-old (65-74 years, n = 1,013), old-old (75-84 years, n = 803), or oldest-old (85 years and older, n = 223). All underwent a formal driving evaluation. The outcome measures included fitness to drive recommendation by the referring physician, comprehensive fitness to drive decision from an official driving evaluation center, history of motor vehicle crashes (MVCs), and history of traffic violations. RESULTS: The oldest-old reported more cardiopulmonary and visual conditions, but less neurological conditions than the old-old. Compared to the middle-aged, the oldest-old were more likely to be considered unfit to drive by the referring physicians (odds ratio [OR] = 4.47, 95% confidence interval [CI] 2.20-9.10) and by the official driving evaluation center (OR = 2.74, 95% CI 1.87-4.03). The oldest-old reported more MVCs (OR = 2.79, 95% CI 1.88-4.12) compared to the middle-aged. CONCLUSION: Advanced age adversely affected driving safety outcomes. The oldest-old are a unique age group with medical conditions known to interfere with safe driving. Driving safety strategies should particularly target the oldest-old since they are the fastest-growing group and their increased frailty is associated with severe or fatal injuries due to MVCs.

Comorbidity in Drivers with Parkinson's Disease.

OBJECTIVES: To determine the effect of comorbidity on fitness-to-drive recommendations that physicians and on-road driving assessors make and to investigate the agreement in fitness-to-drive recommendations between physicians and on-road driving assessors. DESIGN: Retrospective. SETTING: Data on comorbidities associated with Parkinson's disease (PD) and fitness-to-drive recommendations were investigated. PARTICIPANTS: Individuals with PD who underwent an official on-road test in Belgium (N = 72). MEASUREMENTS: Correlations between comorbidity and fitness-to-drive recommendations were calculated. Stepwise logistic regression models were used to investigate whether comorbidity was an independent predictor of fitness-to-drive recommendations (pass/fail) that the physicians or the on-road assessors made. The percentage of agreement and the prevalence and bias-adjusted kappa (PABAK) were used to investigate agreement between the physicians and the on-road assessors. RESULTS: Moderate correlations were found between comorbidity and fitness-to-drive recommendations that the physicians (ρ = 0.34, P = .004) and the on-road assessors (ρ = 0.30, P = .01) made. Comorbidity was the most important determinant (coefficient of determination = 0.16, P = .005) of the physicians fitness-to-drive recommendations. No significant effect of comorbidity on the on-road recommendations was found. The physicians and the on-road assessors agreed in 46 (64%) of the cases (PABAK = 0.46, P < .001). CONCLUSION: Comorbidity plays a role in physicians' recommendations of fitness to drive that may explain, in part, inconsistencies between physicians and on-road assessors' fitness-to-drive recommendations. This study indicates the need for an interdisciplinary dialogue between physicians and on-road assessors to reach a comprehensive fitness-to-drive decision.

Association between site of lesion and driving performance after ischemic stroke.

BACKGROUND: Stroke presents with heterogeneous recovery periods, severity, and manifestation of deficits, all of which may adversely impact fitness-to-drive. Little is known about the association between site of lesion and driving performance after stroke. OBJECTIVE: To investigate the association between site of stroke lesion and driving performance. METHOD: Seventy-three participants (age = 56 ± 11 years; 66 men) underwent a detailed battery of visual, cognitive, and on-road tests to determine fitness-to-drive at about 10 months after ischemic stroke. Associations between stroke location and driving performance were calculated using rank biserial (r rb) correlation coefficients. Correlations were considered weak below 0.10, moderate between 0.10 and 0.49, and strong above 0.50. Wilcoxon rank sum tests were employed to discern differences in on-road driving performance between participants whose performance was of concern to the driving assessor and those who exhibited no major difficulties on the road. RESULTS: In all, 28 (38%) out of the 73 participants exhibited major difficulties on the road. Those who showed difficulties on the road performed worse in all driving skills (P < 0.05). Correlation analysis showed moderate to strong correlations between site of lesion and performance in several visual, cognitive and on-road tests. Lesions in the parietal lobe showed correlations ranging between 0.23 and 0.25 with driving skills including vehicle control and speed adaptations. Lesions in the occipital lobes correlated strongly with visual field (r rb = 0.53) and moderately with visual neglect (r rb = 0.28). CONCLUSIONS: Our results suggest that cortical lesions in the parietal and occipital lobes are associated with driving deficits after stroke. Further advances in our understanding of the neural correlates of driving performance may provide prognostic markers of fitness-to-drive and lead to early, targeted rehabilitation.

Agreement Between Physician's Recommendation and Fitness-to-Drive Decision in Multiple Sclerosis.

OBJECTIVE: To investigate the agreement of fitness-to-drive decisions made by the referring physicians and by the on-road assessors in individuals with multiple sclerosis (MS). DESIGN: Retrospective analysis. SETTING: Driving institute. PARTICIPANTS: A sample of individuals with MS (N=218) who completed the medical and driving questionnaire and performed an official on-road test. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Fitness-to-drive decision made by the on-road assessor. RESULTS: The referring physician and on-road assessor agreed on fitness to drive in 191 (88%) of the cases (prevalence-adjusted and bias-adjusted κ=.81, P<.0001). When compared with the on-road assessor's judgment, the physician's recommendation of fitness to drive was overestimated in 16 individuals with MS and underestimated in 11 individuals with MS. Patients with poor binocular acuity were more likely to be inaccurately classified by the physician (P=.001). CONCLUSIONS: This study showed a high level of agreement between the fitness-to-drive decisions made by the physicians and the on-road assessors in individuals with MS. Visual functions should be assessed in the doctor's office for more accurate referrals.

Improvement of driving skills in persons with relapsing-remitting multiple sclerosis: a pilot study.

OBJECTIVE: To determine the potential to improve driving-related skills using a simulator-based program in persons with relapsing-remitting multiple sclerosis (RRMS). DESIGN: Pre-post intervention. SETTING: A university driving simulator laboratory. PARTICIPANTS: Participants (N=50) with RRMS and Expanded Disability Status Scale (EDSS) scores between 1 and 7 were enrolled. Pre- and posttraining data from 36 participants (mean age ± SD, 46±11y; 30 women) who received training and 6 participants (mean age ± SD, 48±13y; 5 women) who did not receive training (control group) were compared. INTERVENTIONS: Five hours of driving training in a simulator. MAIN OUTCOME MEASURES: Performance on a road test at pre- and posttraining. Secondary outcome measures were performance on visual, physical, and cognitive tests. RESULTS: Overall, no significant differences were observed between the training and control groups before and after training. However, 4 of the 7 participants in the training group who failed the road test at pretraining passed posttraining, while the only participant in the control group who failed at pretraining still failed at posttraining. The training group also improved on perception of red and colored numbers, the Paced Auditory Serial Addition Test, and the dot cancellation test of the Stroke Driver Screening Assessment battery and reported less fatigue. These improvements were most pronounced among those with an EDSS score between 3 and 7. CONCLUSIONS: This pilot study demonstrates the potential of using a simulator to improve driving-related visual, cognitive, and on-road skills in individuals with RRMS, particularly those with an EDSS score >3. Future randomized controlled trials with adequate power are needed to expand this field of study.

United States version of the Stroke Driver Screening Assessment: a pilot study.

BACKGROUND: Most stroke survivors who resume driving in the United States do so within the first year. More than 87% of these individuals resume driving without a formal evaluation of their fitness to drive because of the absence of standard practices and generally accepted and valid screening tools. The Stroke Driver Screening Assessment (SDSA) is an established battery for predicting stroke survivors' driving performance but is not currently used in the United States. This pilot study investigated the predictive ability of the US version of the battery in a US-based cohort of stroke survivors. METHOD: Fifteen first-ever stroke survivors (age, 52±12 years) and 16 healthy adults (age, 40±16 years) were administered the US version of the SDSA in a standardized format. Performance on the SDSA was compared with driving performance in a high-fidelity driving simulator. RESULTS: Stroke and healthy participants' driving performance was predicted with 87% and 88% accuracy, respectively. CONCLUSION: The US version of the SDSA battery has the potential to be a good predictor of driving performance of mildly impaired stroke survivors. Larger studies are needed to further establish its predictive accuracy.

Predictors of driving in individuals with relapsing-remitting multiple sclerosis.

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.

Driving simulation for evaluation and rehabilitation of driving after stroke.

Driving is an important activity of daily living. Loss of driving privileges can lead to depression, decreased access to medical care, and increased healthcare costs. The ability to drive is often affected after stroke. In approximately 30% of stroke survivors, it is clear from the onset that driving will no longer be possible. Approximately 33% of survivors will be able to return to driving with little or no retraining, and 35% will require driving-related rehabilitation before they can resume safe driving again. The ability to drive is not routinely evaluated after stroke, and there is no established rehabilitation program for poststroke driving. When driving evaluation does occur, it is not always clear which tests are the most salient for accurately assessing poststroke driving ability. Investigators have examined the efficacy of various methodologies to predict driving performance after stroke and have found mixed results, with each method having unique weaknesses, including poor predictive ability, poor face validity, poor sensitivity or specificity, and limited reliability. Here we review common models of driving to gain insight into why single-construct visual or cognitive off-road measures are inadequate for evaluating driving, a complex and dynamic activity that involves timely interaction of multiple motor, visual, cognitive, and perceptual skills. We also examine the potential for driving simulators to overcome the problems currently faced in the evaluation and rehabilitation of driving after stroke. Finally, we offer suggestions for the future direction of simulator-based poststroke driving evaluation and training.

Prediction of driving ability in people with relapsing-remitting multiple sclerosis using the stroke driver screening assessment.

The ability to drive is often affected in individuals with multiple sclerosis (MS) because of the motor, visual, or cognitive deficits commonly associated with the condition. In this study, we investigated the accuracy with which the Stroke Driver Screening Assessment (SDSA), an established battery for the prediction of driving performance of stroke survivors, would predict driving performance of individuals with MS. Driving performance of 44 individuals with relapsing-remitting MS (mean ± SD age, 46 ± 11 years; 37 females and 7 males) who were currently driving at least once a month was predicted using their performance on the SDSA. Outcomes of a road test and the Useful Field of View (UFOV) test were used as measures of driving ability. Participants' performance on both the road and UFOV tests was predicted with more than 80% accuracy. The SDSA was more accurate in predicting who would pass the two tests than who would fail the tests. The SDSA battery appears to be a good predictor of driving performance of individuals with relapsing-remitting MS, especially those who have sufficient cognitive skills to continue driving. Larger studies are needed to definitively establish its predictive accuracy and confirm the validity of the predictions.

Effect of simulator training on fitness-to-drive after stroke: a 5-year follow-up of a randomized controlled trial.

BACKGROUND: No long-term studies have been reported on the effect of training programs on driving after stroke. OBJECTIVES: The authors' primary aim was to determine the effect of simulator versus cognitive rehabilitation therapy on fitness-to-drive at 5 years poststroke. A second aim was to investigate differences in clinical characteristics between stroke survivors who resumed and stopped driving. METHODS: In a previously reported randomized controlled trial, 83 stroke survivors received 15 hours of simulator training (n = 42) or cognitive therapy (n = 41). In this 5-year follow-up study, 61 participants were reassessed. Fitness-to-drive decisions were obtained from medical, visual, neuropsychological, and on-road tests; 44 participants (simulator group, n = 21; cognitive group, n = 23) completed all assessments. The primary outcome measures were fitness-to-drive decision and current driving status. RESULTS: The authors found that 5 years after stroke, 18 of 30 participants (60%) in the simulator group were considered fit to drive, compared with 15 of 31 (48%) in the cognitive group (P = .36); 34 of 61 (56%) participants were driving. Current drivers were younger (P = .04), had higher Barthel scores (P = .008), had less comorbidity (P = .01), and were less severely depressed (P = .02) than those who gave up driving. CONCLUSIONS: The advantage of simulator-based driving training over cognitive rehabilitation therapy, evident at 6 months poststroke, had faded 5 years later. Poststroke drivers were younger and less severely affected and depressed than nondrivers.

Comparison of the effect of two driving retraining programs on on-road performance after stroke.

BACKGROUND: Several driving retraining programs have been developed to improve driving skills after stroke. Those programs rely on different rehabilitation concepts. OBJECTIVES: The current study sought to examine the specific carryover effect of driving skills of a comprehensive training program in a driving simulator when compared with a cognitive training program. METHODS: Further analysis from a previous randomized controlled trial that investigated the effect of simulator training on driving after stroke. Forty-two participants received simulator-based driving training, whereas 41 participants received cognitive training for 15 hours. Overall performance in the on-road test and each of its 13 items were compared between groups immediately posttraining and at 6 months poststroke. RESULTS: Generalized estimating equation analysis showed that the total score on the on-road test and each item score improved significantly over time for both groups. Those who received driving simulator training achieved better results when compared with the cognitive training group in the overall on-road score and the items of anticipation and perception of signs, visual behavior and communication, quality of traffic participation, and turning left. Most of the differences in improvement between the 2 interventions were observed at 6 months poststroke. CONCLUSIONS: Contextual training in a driving simulator appeared to be superior to cognitive training to treat impaired on-road driving skills after stroke. The effects were primarily seen in visuointegrative driving skills. Our results favor the implementation of driving simulator therapy in the conventional rehabilitation program of subacute stroke patients with mild deficits.

The validity of a road test after stroke.

OBJECTIVES: To determine the validity of a road test performed by stroke patients in Belgium and to reestablish its reliability. DESIGN: Prospective study of a predriving evaluation. SETTING: University hospital in Belgium. PARTICIPANTS: Thirty-eight patients with sequelae of first-ever stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Performance in the Stroke Driver Screening Assessment (SDSA) and on a road test. RESULTS: Interrater reliability of the road test subitems was moderate to substantial (weighted kappa range, .44-.78). Item-per-item reliability varied from moderately high (intraclass correlation coefficient [ICC]=.63) to very high (ICC=.87). The reliability of the overall performance in the road test was very high (ICC=.83). For the criterion validity of the road test, 78.9% of the subjects were correctly classified when the judgments of the principal evaluator were compared with outcomes of the SDSA. Agreement in classification between the principal evaluator and a state-registered evaluator's judgments was 81.6%. The sensitivity and specificity of the agreement were very high (80.6%) and perfect (100%), respectively. CONCLUSIONS: The road test is a reliable and valid test of driving ability after stroke.

Reliability of a road test after stroke.

OBJECTIVE: To determine the reliability of the road test performed by stroke patients. DESIGN: Prospective study of a 6-month predriving evaluation. SETTING: Driving safety center in Belgium. PARTICIPANTS: Thirty patients with sequelae of stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Results of driving performance as judged by 2 assessors from the Center for Determination of Fitness to Drive and Car Adaptations (CARA), in a car fitted with a video camera. A third assessor also evaluated all the video recordings. Interrater reliability was evaluated by comparing results from real-life performance and video recording, as judged by the CARA assessors and video judgments between CARA assessors and the third assessor. RESULTS: Most subitems of the road test showed more than 80% scoring agreement between the various evaluations. Intraclass correlation coefficients (ICCs) of the items varied from -.08 to 1.0. The ICC of the overall performance was.62 when real-life scores were compared with video evaluations and.80 in video versus video comparison. CONCLUSION: The reliability of assessing overall performance of stroke patients in the road test is moderately high and better when assessed using the same evidence. Yet, the reliability of some items needs further attention.