Functional and motor outcome 5 years after stroke is equivalent to outcome at 2 months: follow-up of the collaborative evaluation of rehabilitation in stroke across Europe.

BACKGROUND AND PURPOSE: Recovery of patients within the first 6 months after stroke is well documented, but there has been little research on long-term recovery. The aim of this study was to analyze functional and motor recovery between admission to rehabilitation centres and 5 years after stroke. METHODS: This follow-up of the Collaborative Evaluation of Rehabilitation in Stroke Across Europe study, included patients from 4 European rehabilitation centres. Patients were assessed on admission, at 2 and 6 months, and 5 years after stroke, using the Barthel Index, Rivermead Motor Assessment Gross Function, Leg and Trunk function, and Arm function. Linear mixed models were used, corrected for baseline characteristics. To account for the drop-out during follow-up, the analysis is likelihood-based (assumption of missingness at random). RESULTS: A total of 532 patients were included in this study, of which 238 were followed up at 5 years post stroke. Mean age at stroke onset was 69 (±10 SD) years, 53% were men, 84% had ischemic strokes, and 53% had left-sided motor impairment. Linear mixed model analysis revealed a significant deterioration for all 4 outcomes between 6 months and 5 years (P<0.0001). Scores at 2 months were not statistically significant different from scores at 5 years after stroke. Higher age (P<0.0001) and increasing stroke severity on admission (P<0.0001) negatively affected long-term functional and motor recovery. CONCLUSIONS: Five-year follow-up revealed deterioration in functional and motor outcome, with a return to the level measured at 2 months. Increasing age and increasing stroke severity negatively affected recovery up to 5 years after stroke.

On-road driving impairments in Huntington disease.

OBJECTIVE: To determine the driving skill impairments and underlying visual, motor, and cognitive deficits that lead to failure on road testing in manifest Huntington disease (HD). METHODS: Certified driving assessment experts scored performance on 13 specific on-road driving skills in 30 persons with HD and 30 controls and issued a pass/fail decision based on their overall impression. These on-road skill items were mapped onto an existing theoretical framework that categorized driving skills into operational, tactical, visuo-integrative, and mixed clusters. The HD group additionally completed a detailed off-road battery of motor, visual, and neuropsychological tests. RESULTS: The HD group performed worse on all on-road items. Fourteen drivers with HD (47%) failed the road test compared with none of the controls. Scores on the Total Functional Capacity scale discriminated significantly between pass and fail groups. Total on-road score and performance in operational, tactical, and visuo-integrative clusters correlated strongly (Spearman ρ >0.50) with the pass/fail decision. The off-road tests showed variable strengths of association depending on the level of driving skill. Selective attention was strongly associated (Spearman ρ >0.50) with the total on-road score and all driving clusters. CONCLUSIONS: HD affects driving at many levels due to motor and cognitive deficits and leads to unsafe road performance even in mild stages. The high failure rate on the road test and difficulties in all aspects of on-road driving suggest that monitoring of fitness to drive should be initiated in the early course of HD.

Long-term prediction of functional outcome after stroke using single items of the Barthel Index at discharge from rehabilitation centre.

PURPOSE: To determine the prognostic value of single items of the Barthel Index (BI) at discharge from rehabilitation, in predicting independence in personal activities of daily living (ADL) (BI score ≥ 95/100) at five years after stroke. METHOD: People with stroke were recruited consecutively from four European rehabilitation centres. BI was assessed on discharge and at five years after stroke. Stepwise multivariate logistic regression analysis was used to determine independent predictors of BI score ≥ 95/100 at five years after stroke. Thereupon, percentage chance of reaching BI ≥ 95/100 at five years after stroke was calculated. RESULTS: Data were available for 153 patients. Independence in dressing (odds ratio (OR)=5.22, 95% confidence interval (CI)=1.85-14.76, p=0.002) and bathing (OR=8.10, 95% CI=3.40-19.32, p<0.0001) were independent predictors. Independence in both items resulted in 74.1% (57.6-85.8) chance of reaching BI ≥ 95/100 at five years after stroke. Dependence in both items resulted in 6.3% (5.1-7.9) chance. Independence in bathing, but dependence in dressing resulted in 35.4% (30.7-40.4) chance whereas the opposite resulted in 26.1% (20.7-32.3) chance. CONCLUSION: Simple assessment of dressing and bathing on discharge from rehabilitation enables therapeutic staff to predict prognosis for long-term independence in personal ADL. This method can be used for early identification of persons with stroke who need intensive follow-up. Implications for Rehabilitation (In)dependence for dressing and bathing at discharge from a rehabilitation centre are significant factors in the prediction of (in)dependence in personal ADL at five years after stroke. This predictive tool can be used for targeting inpatient stroke rehabilitation and early identification of those patients who need intensive follow-up.

Driving and off-road impairments underlying failure on road testing in Parkinson's disease.

Parkinson's disease (PD) affects driving ability. We aimed to determine the most critical impairments in specific road skills and in clinical characteristics leading to failure on a road test in PD. In this cross-sectional study, certified driving assessment experts evaluated specific driving skills in 104 active, licensed drivers with PD using a standardized, on-road checklist and issued a global decision of pass/fail. Participants also completed an off-road evaluation assessing demographic features, disease characteristics, motor function, vision, and cognition. The most important driving skills and off-road predictors of the pass/fail outcome were identified using multivariate stepwise regression analyses. Eighty-six (65%) passed and 36 (35%) failed the on-road driving evaluation. Persons who failed performed worse on all on-road items. When adjusted for age and gender, poor performances on lateral positioning at low speed, speed adaptations at high speed, and left turning maneuvers yielded the best model that determined the pass/fail decision (R(2) = 0.56). The fail group performed poorer on all motor, visual, and cognitive tests. Measures of visual scanning, motor severity, PD subtype, visual acuity, executive functions, and divided attention were independent predictors of pass/fail decisions in the multivariate model (R(2) = 0.60). Our study demonstrated that failure on a road test in PD is determined by impairments in specific driving skills and associated with deficits in motor, visual, executive, and visuospatial functions. These findings point to specific driving and off-road impairments that can be targeted in multimodal rehabilitation programs for drivers with PD.

Validation of a screening battery to predict driving fitness in people with Parkinson's disease.

BACKGROUND: We previously developed a short clinical battery, consisting of contrast sensitivity, Clinical Dementia Rating, the Unified Parkinson's Disease Rating Scale-motor section (UPDRS III), and disease duration, which correctly classified 90% of drivers with Parkinson's Disease (PD). The aim of this study was to validate that screening battery in a different sample of PD drivers. METHODS: Sixty drivers with PD were enrolled to validate our original screening battery to predict driving fitness decisions (pass-fail) by a state agency where drivers underwent detailed visual, cognitive, and on-road testing. RESULTS: Twenty-four participants (40%) failed the driving evaluation. The screening battery correctly classified 46 (77%) participants (sensitivity and negative predictive value = 96%; specificity and positive predictive value = 64%). Adding other clinical predictors (e.g., age of onset, Hoehn-Yahr stage instead of UPDRS III) failed to improve the specificity of the model when the sensitivity was kept constant at 96%. However, a driving simulator evaluation improved the specificity of the model to 94%. CONCLUSIONS: The original clinical battery proved to be a valid screening tool that accurately identifies fit drivers with PD and select those who need more detailed testing at specialized centers.

How does brain activation differ in children with unilateral cerebral palsy compared to typically developing children, during active and passive movements, and tactile stimulation? An fMRI study.

The aim of the functional magnetic resonance imaging (fMRI) study was to investigate brain activation associated with active and passive movements, and tactile stimulation in 17 children with right-sided unilateral cerebral palsy (CP), compared to 19 typically developing children (TD). The active movements consisted of repetitive opening and closing of the hand. For passive movements, an MRI-compatible robot moved the finger up and down. Tactile stimulation was provided by manually stroking the dorsal surface of the hand with a sponge cotton cloth. In both groups, contralateral primary sensorimotor cortex activation (SM1) was seen for all tasks, as well as additional contralateral primary somatosensory cortex (S1) activation for passive movements. Ipsilateral cerebellar activity was observed in TD children during all tasks, but only during active movements in CP children. Of interest was additional ipsilateral SM1 recruitment in CP during active movements as well as ipsilateral S1 activation during passive movements and tactile stimulation. Another interesting new finding was the contralateral cerebellum activation in both groups during different tasks, also in cerebellar areas not primarily linked to the sensorimotor network. Active movements elicited significantly more brain activation in CP compared to TD children. In both groups, active movements displayed significantly more brain activation compared to passive movements and tactile stimulation.

Understanding the mechanisms behind deficits in imitation: do individuals with autism know 'what' to imitate and do they know 'how' to imitate?

Although imitation problems have been associated with autism for many years, the underlying mechanisms of these problems remain subject to debate. In this article, the question whether imitation problems are caused by selection or correspondence problems is explored and discussed. This review revealed that hypotheses on the nature of imitation problems in autism are complicated and inconclusive at the present time. There is some evidence for impaired selection, especially implicating poor preferential attention to biological motion and poor ascription of intention to action. There is also some evidence that both transformations of perspectives and mapping of visual to motor information are impaired, characterized as correspondence problems. However, it is not yet clear how poor selection processes contribute to correspondence problems and vice versa. Insight in this interaction may provide a valuable contribution to our understanding of imitation problems in autism. For further research we recommend that tasks should be constrained to target as few mechanisms as possible in given experiments.

Determinants of fitness to drive in Huntington disease.

OBJECTIVES: To identify the most accurate clinical predictors of fitness to drive (FTDr) in Huntington disease (HD). METHODS: This cross-sectional study included 60 active drivers: 30 patients with manifest HD (8 women) and 30 age- and gender-matched healthy controls. Mean (SD) age of the HD group was 50 (12) years and median (Q1-Q3) disease duration was 24 (12-48) months. A clinical battery consisting of a driving history questionnaire, the cognitive section of the Unified Huntington's Disease Rating Scale (UHDRS), Trail Making Test, and Mini-Mental State Examination, as well as a driving simulator evaluation, were administered to all participants. Additionally, the subjects with HD completed the motor, behavioral, and Total Functional Capacity sections of the UHDRS and underwent an official FTDr evaluation comprising visual, neuropsychological, and on-road tests. The blinded neurologist's appraisal of FTDr and the 3 most predictive clinical tests were compared with the official pass/fail FTDr decision. RESULTS: The patients with HD performed worse on all tests of the clinical battery and driving simulator than the healthy controls. Fifteen patients with HD (50) failed the FTDr evaluation. The blinded neurologist correctly classified 21 patients (70%). The Symbol Digit Modalities Test, Stroop word reading, and Trail Making Test B provided the best model (R(2) = 0.49) to predict FTDr, correctly classifying 26 patients (87%). CONCLUSIONS: Half of active drivers with HD fail a driving evaluation and pose a potential hazard on the road. Our results suggest that those at risk can be accurately identified using a clinical screening tool.

Functioning at 6 months post stroke following discharge from inpatient rehabilitation.

OBJECTIVES: To determine activity limitations, participation restrictions, health-related quality of life and caregiver strain in community-dwelling stroke survivors discharged from an intensive inpatient rehabilitation programme at 6 months post stroke. METHODS: Fifty-one consecutive stroke patients admitted to a Western Cape rehabilitation centre were included. Community-dwelling participants (N=46) at 6 months post stroke were assessed using the Modified Rankin Scale (MRS), Barthel index (BI), Nottingham extended activities of daily living (NEADL) scale, Euroqol (EQ-5D) instrument and caregiver strain index (CSI). RESULTS: Most participants (73.9%) were independent in activities of daily living or had minimal disability (BI 75 - 100). However, according to the NEADL, many participants were not independent in housework (60.9%), food preparation (52.2%), shopping (80.4%) and public transport use (65.2%), implying the need for caregiver assistance. According to the MRS, 29% of participants were severely disabled, requiring caregiver assistance for basic needs, and 20% could not be left alone. Feelings of anxiety or depression were felt in 50% of participants and 59% reported pain or discomfort, according to the EQ-5D. High levels of caregiver strain were reported in 56% of caregivers (CSI). Follow-up after discharge was reported in few participants. CONCLUSIONS: Consideration should be given to support for stroke survivors and caregivers after discharge and whether targeted programmes can improve specific aspects of functioning, such as community mobility.

Frontoparietal involvement in passively guided shape and length discrimination: a comparison between subcortical stroke patients and healthy controls.

Fifty to 85 % of patients with sensorimotor hemiparesis following stroke encounter impaired tactile processing and proprioception. Sensory feedback is, however, paramount for motor recovery. Sensory feedback through passively guided somatosensory discrimination exercises has been used in therapy, but so far, no studies have investigated which brain areas are involved in this process. Therefore, we performed a study with functional magnetic resonance imaging (fMRI) to examine brain areas related to discriminating passively guided shape and length discrimination in stroke patients and evaluate whether they differed from healthy age-matched controls. Eight subcortical stroke patients discriminated different shapes or length based on passive finger movements provided by an fMRI compatible robot. The data were contrasted to a control condition whereby patients discriminated music fragments. Passively guided somatosensory discrimination versus music discrimination elicited activation in similar frontoparietal areas in stroke patients compared to the healthy control group. Still, patients had increased activation in the right angular gyrus, left superior lingual gyrus, and right cerebellar lobule VI compared to healthy volunteers. Conversely, healthy volunteers activated the right precentral gyrus to a greater extent than patients. In both groups, shape discrimination resulted in anterior intraparietal sulcus and premotor activation, while length discrimination elicited a more medially located parietal activation with mainly right-sided premotor activity. The current study is a first step in clarifying brain activations during passively guided shape and length discrimination in subcortical stroke patients. Research into the effects of the use of sensory discrimination exercises on brain reorganization and brain plasticity is encouraged.

Five-year mortality and related prognostic factors after inpatient stroke rehabilitation: a European multi-centre study.

OBJECTIVE: To determine 5-year mortality and its association with baseline characteristics and functional status 6 months post-stroke for patients who received inpatient rehabilitation. DESIGN: A prospective rehabilitation-based cohort study. SUBJECTS: A total of 532 consecutive stroke patients from 4 European rehabilitation centres. METHODS: Predictors were recorded on admission. Barthel Index was assessed at 6 months (BI6mths) and patients were followed for 5 years post-stroke. Survival probability was computed using Kaplan-Meier analysis and compared across 3 BI6mths-classes (0-60, 65-90, 95-100) (log-rank test). Significant independent predictors were determined using multivariate Cox regression analysis (hazard ratio (HR)). RESULTS: Five-year cumulative risk of death was 29.12% (95% confidence interval (CI): 22.86-35.38). Age (HR=1.06, 95% CI: 1.04-1.09), cognitive impairment (HR=1.77, 95% CI: 1.21-2.57), diabetes mellitus (HR=1.68, 95% CI: 1.16-2.41) and atrial fibrillation (HR=1.52, 95% CI: 1.08-2.14) were independent predictors of increased mortality. Hyperlipidaemia (HR=0.66, 95% CI: 0.46-0.94), and higher BI6mths (HR=0.98, 95% CI: 0.97-0.99) were independent predictors of decreased mortality. Five-year survival probability was 0.85 (95% CI: 0.80-0.89) for patients in BI6mths-class: 95-100, 0.72 (95% CI: 0.63-0.79) in BI6mths-class: 65-90 and 0.50 (95% CI: 0.40-0.60) in BI6mths-class: 0-60 (p<0.0001). CONCLUSION: Nearly one-third of rehabilitation patients died during the first 5 years following stroke. Functional status at 6 months was a powerful predictor of long-term mortality. Maximum functional independence at 6 months post-stroke should be promoted through medical interventions and rehabilitation. Future studies are recommended to evaluate the direct effect of rehabilitation on long-term survival.

Objectivity and stability of the Preschool Imitation and Praxis Scale.

OBJECTIVE: We examined rater and test-retest reliability of the Preschool Imitation and Praxis Scale (PIPS). METHOD: We administered the PIPS to 119 typically developing children ages 1.5-4.9 yr. RESULTS: The PIPS demonstrated acceptable intra- and interrater reliability on item level (k(w) = 0.45-1) and scale level (intraclass correlation coefficient ICC = 0.996; 95% CI: 0.968-0.999 and ICC = 0.995; 95% CI: 0.990-0.997, respectively). The smallest detectable difference of the PIPS was 5.6%, indicating that the change score rated by different raters for an individual child is valid and that the PIPS can be used by different raters as an outcome measure to determine children's improvement or maturation. Results of test-retest analysis revealed that the PIPS score is stable over time (r = .93). CONCLUSION: The PIPS appears to meet the required standards regarding objectivity and stability. The PIPS may assist clinicians and researchers in evaluating and reevaluating preschoolers' imitation ability, which is a primary learning strategy of young children.

Measuring procedural imitation aptitude in children: further validation of the Preschool Imitation and Praxis Scale (PIPS).

The Preschool Imitation and Praxis Scale (PIPS) was developed to measure bodily and procedural imitation aptitude in young children. However, the investigation of procedural imitation is more complex than that of bodily imitation. The procedural imitation tasks of the PIPS mainly consisted of unusual acts upon objects (for example, switching on a lamp in a toy animal with the forehead). This study assessed the suitability of these tasks by ruling out nonimitative learning in 15 typically developing children between 12 and 55 mo. of age (6 girls, 9 boys). Results indicated that the tasks seem novel and unlikely to be performed spontaneously by the children. In addition, the number of target acts performed by the children in the imitation condition was significantly higher than in the baseline, investigator-manipulation, and imitation-enhancement nonimitative control conditions. Finally, the tasks elicited more frequently imitative behaviour than end-state emulation. Therefore, the tasks appear appropriate to measure procedural imitation, and the findings support the theoretical validity of the PIPS.

Imitation assessment and its utility to the diagnosis of autism: evidence from consecutive clinical preschool referrals for suspected autism.

The present study sought to examine imitation difficulties as a risk factor for autism. Imitation aptitude was examined in 86 preschoolers suspected of autism (1.9-4.5 years) using the Preschool Imitation and Praxis Scale (PIPS). Differences between imitation, language, motor age-equivalents and nonverbal mental age were used to predict the diagnosis of autism. Multidisciplinary team diagnoses and ADOS-G classifications were used to differentiate children with autism spectrum disorders and non-spectrum developmental disorders. Two factors were found to be significantly associated with autism using simple logistic regression analyses: procedural imitation delay and receptive language delay. In a multivariable setting, only procedural imitation delay remained a significant predictor of autism. Results are new to the literature and require replications.

Retraining moderately impaired stroke survivors in driving-related visual attention skills.

BACKGROUND: Visual inattention is a major cause of road accidents and is a problem commonly experienced after stroke. PURPOSE: This study investigated the effects of 2 training programs on performance in the Useful Field of View (UFOV), a validated test of driving-related visual attention skills. METHOD: Data from 69 first-ever, moderately impaired stroke survivors who participated in a randomized controlled trial (RCT) to determine the effects of simulator training on driving after stroke were analyzed. In addition to regular interventions at a rehabilitation center, participants received 15 hours of either simulator-based driving-related training or non-computer-based cognitive training over 5 weeks. RESULTS: Total percentage reduction in UFOV and performance in divided and selective attention and speed of processing subtests were documented at 6 to 9 weeks (pretraining), 11 to 15 weeks (posttraining), and 6 months post stroke (follow-up). Generalized estimating equation (GEE) model revealed neither group effects nor significant interaction effects of group with time in the UFOV total score and the 3 subtests. However, there were significant within-group improvements from pre- through posttraining to follow-up for all the UFOV parameters. Post-hoc GEE analysis revealed that most improvement in both groups occurred from pre- to posttraining. CONCLUSION: Both training programs significantly improved visual attention skills of moderately impaired stroke survivors after 15 hours of training and retention of benefit lasted up to 6 months after stroke. Neither of the training programs was better than the other.

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.

Variations in follow-up services after inpatient stroke rehabilitation: a multicentre study.

BACKGROUND: Care after discharge from inpatient stroke rehabilitation units varies across Europe. The aim of this study was to compare service delivery after discharge. METHODS: A total of 532 consecutive patients after stroke were recruited from 4 European rehabilitation centres in Germany, Switzerland, Belgium and the UK. At 2-month intervals, clinical assessments and structured interviews were carried out to document functional status and delivery of services after discharge. Significant factors for receiving follow-up services were analysed using a logistic generalized estimating equation model. RESULTS: After controlling for case-mix, the results showed that Belgian patients were most likely to receive physical therapy but least likely to receive occupational therapy. German patients were least likely to receive nursing care. UK patients were less likely to receive medical care from their general practitioner compared with the other patient groups. CONCLUSION: Clinical characteristics did not explain the variations in service delivery after discharge from in-patient stroke rehabilitation. The decision-making processes involved in the provision of follow-up services need to be better documented. To improve our understanding of events post-discharge, the influence of non-clinical factors, such as healthcare regulations, should be explored further.

The use of a biplot in studying outcomes after stroke.

BACKGROUND AND PURPOSE: This study aimed to unravel the multidimensional profile of stroke outcomes by investigating the global correlation structure of motor, functional, and emotional problems of patients, as well as their caregivers' strain, at 6 months after stroke. Potential differential associations based on patients' level of functioning on admission to the rehabilitation center were analyzed. METHODS: Data were collected within the CERISE-study (Collaborative Evaluation of Rehabilitation in Stroke across Europe). Six months after stroke, the Rivermead Motor Assessment (RMA), Extended Activities of Daily Living (EADL), Hospital Anxiety and Depression Scale-Anxiety (HADS-A) and Hospital Anxiety and Depression Scale-Depression (HADS-D), EuroQol-Health State (EQ-HS), EuroQol-Visual Analogue Scale (EQ-VAS), and Caregiver Strain Index (CSI) were administered. Patients were classified into 3 categories according to their Barthel Index (BI) score on admission to the rehabilitation center. Principal component analysis was carried out, and a biplot was constructed. RESULTS: Data were available on 510 patients. One cluster was formed by RMA and EADL, and a second one by HADS-A, HADS-D, and EQ-VAS. EQ-HS was situated between these two. CSI formed a third dimension. Patients with low BI scores on admission to the rehabilitation center had higher HADS-A and HADS-D scores 6 months after stroke. High BI scores were associated with large variations in HADS-A and HADS-D scores. CONCLUSIONS: This novel biplot strategy for rehabilitation studies revealed 2 clusters: one of motor/functional problems and one of emotional problems. Patients with mild functional deficit measured on admission to the rehabilitation center can suffer from mild to severe anxiety and depression at 6 months poststroke. Screening for emotional disorders in all patients is recommended.

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.

Additional exercises improve trunk performance after stroke: a pilot randomized controlled trial.

BACKGROUND: Sitting balance and the ability to perform selective trunk movements are important predictors of functional outcome after stroke. However, studies evaluating the effect of exercises aimed at improving trunk performance are sparse. OBJECTIVE: To examine the effect of additional trunk exercises on trunk performance after stroke. METHODS: An assessor-blinded randomized controlled trial was carried out at an inpatient stroke rehabilitation center. In total 33 participants were assigned to an experimental group (n = 17) or a control group (n = 16). In addition to conventional therapy, the experimental group received 10 hours of individual and supervised trunk exercises; 30 minutes, 4 times a week, for 5 weeks. Trunk performance was evaluated by the Trunk Impairment Scale (TIS) and its subscales of static and dynamic sitting balance and coordination. A general linear repeated measures model was used to analyze the results of our study. RESULTS: No significant differences were found pretreatment between the 2 groups for the collected demographic variables, stroke-related parameters, clinical measures, number of therapy sessions received, and primary outcome measure used. Posttreatment, a significantly better improvement was noted in the experimental group compared to the control group for the dynamic sitting balance subscale only; measuring selective lateral flexion initiated from the upper and lower part of the trunk, (P = .002, post hoc power calculation = .90, effect size = 1.16). CONCLUSIONS: Our results suggest that, in addition to conventional therapy, trunk exercises aimed at improving sitting balance and selective trunk movements have a beneficial effect on the selective performance of lateral flexion of the trunk after stroke.