Fitness-to-drive agreements after stroke: medical versus practical recommendations.

BACKGROUND AND PURPOSE: Physicians often struggle to screen out patients who are no longer fit to drive after stroke. The agreement between the recommendations of physicians and on-road assessors with regard to fitness to drive after stroke was investigated. METHODS: In this retrospective study, 735 patients with stroke underwent medical, visual and road tests at an official fitness-to-drive center of the Belgian Road Safety Institute. Physicians provided medical fitness-to-drive recommendations using one of three categories (favorable, reserved or unfavorable). On-road assessors used the same three categories to make practical fitness-to-drive recommendations. Agreement between the medical and practical fitness-to-drive recommendations was calculated using the percentage of agreement and prevalence and bias adjusted kappa (PABAK). Area under the curve (AUC) was used to predict the medical and practical recommendations after stepwise logistic regression analyses. RESULTS: The percentage of agreement was 73% and the PABAK was 0.60 (P < 0.0001). Physicians disagreed on 92% of patients classified as unfavorable and 80% of those classified as reserved by the on-road assessor. Previous visits to the driving center and number of comorbidities predicted medical fitness-to-drive recommendations (AUC = 0.68). Age, previous visits to the center, binocular acuity and driving experience constituted the best model to predict practical fitness-to-drive recommendations (AUC = 0.70). CONCLUSIONS: Although there was a moderate agreement between the medical and practical fitness-to-drive recommendations, physicians were less likely to screen out those patients who may pose an actual risk on the road. Demographic, clinical and driving factors differently affected the medical and practical fitness-to-drive recommendations.

Grey scales uncover similar attentional effects in homonymous hemianopia and visual hemi-neglect.

Multi-component models of visual hemi-neglect have postulated that visual hemi-neglect is characterised by various attentional deficits. A grey scales task has been developed to quantify the early, automatic, (perhaps obligatory) ipsilesional orienting of visual attention, frequently assumed as the first of these attentional deficits. Explanations for this attentional imbalance are up until now mainly formulated in terms of right hemisphere activation. This lateral attentional bias has also been demonstrated in controls, in whom it is expressed as a leftward perceptual asymmetry. We reproduced previous literature findings on a grey scales task, considering controls and neglect patients. Three patients with neglect showed an extreme ipsilesional lateral bias. This bias did not change during or after cognitive rehabilitation. Additionally, we presented this grey scale task to 32 patients with left- and right-sided homonymous hemianopia (HP). HP is the loss of sight in one visual hemi-field. The HH patients had no clinical signs of impaired lateralised attention. Results revealed that HH patients showed a similar ipsilesional bias, albeit to a lesser degree than in neglect. Left-sided HH patients presented a quantitatively similar, but qualitatively opposite bias than the right-sided HH patients. We suggest that sensory effects can be an alternative source of attentional imbalance, which can interact with the previously proposed (right) hemispheric effects. This suggests that the perceptual asymmetry in the grey scales task is not necessarily an indicator of impaired right hemisphere attention. It rather suggests a pattern of functional cerebral asymmetry, which can also be caused by asymmetric sensory input.

Hemianopic visual field defects elicit hemianopic scanning.

Previous explanations for the variability in success of compensating for homonymous hemianopia (HH) has been in terms of extent of the brain injury. In using on-line eye movement registrations, we simulated HH in 16 healthy subjects and compared their scanning performance on a dot counting task to their own "normal" condition and to real HH patients' performance. We evidenced clear parallels between simulated and real HH, suggesting that hemianopic scanning behaviour is primarily visually elicited, namely by the visual field defect, and not by the additional brain damage. We further observed age-related processes in compensating for the HH.

Screening for fitness to drive after stroke: a systematic review and meta-analysis.

OBJECTIVE: To identify the best determinants of fitness to drive after stroke, following a systematic review and meta-analysis. METHODS: Twenty databases were searched, from inception until May 1, 2010. Potentially relevant studies were reviewed by 2 authors for eligibility. Methodologic quality was assessed by Newcastle-Ottawa scores. The fitness-to-drive outcome was a pass-fail decision following an on-road evaluation. Differences in off-road performance between the pass and fail groups were calculated using weighted mean effect sizes (d(w)). Statistical heterogeneity was determined with the I² statistic. Random-effects models were performed when the assumption of homogeneity was not met. Cutoff scores of accurate determinants were estimated via receiver operating characteristic analyses. RESULTS: Thirty studies were included in the systematic review and 27 in the meta-analysis. Out of 1,728 participants, 938 (54%) passed the on-road evaluation. The best determinants were Road Sign Recognition (d(w) 1.22; 95% confidence interval [CI] 1.01-1.44; I(2), 58%), Compass (d(w) 1.06; 95% CI 0.74-1.39; I², 36%), and Trail Making Test B (TMT B; d(w) 0.81; 95% CI 0.48-1.15; I(2), 49%). Cutoff values of 8.5 points for Road Sign Recognition, 25 points for Compass, and 90 seconds for TMT B were identified to classify unsafe drivers with accuracies of 84%, 85%, and 80%, respectively. Three out of 4 studies found no increased risk of accident involvement in persons cleared to resume driving after stroke. CONCLUSIONS: The Road Sign Recognition, Compass, and TMT B are clinically administrable office-based tests that can be used to identify persons with stroke at risk of failing an on-road assessment.

Predictors of fitness to drive in people with Parkinson disease.

OBJECTIVE: To develop an efficient clinical screening battery to accurately predict the fitness to drive in people with Parkinson disease (PD). METHODS: This prospective study included 80 participants: 40 patients with PD and 40 healthy age- and sex-matched control subjects. All participants were assessed using a driving simulator, a driving history survey, and the Clinical Dementia Rating. The patients with PD also underwent a clinical test battery and an evaluation of fitness to drive performed by an official center, which included visual, cognitive, and on-road tests. A two-class decision from this driving assessment center was the main outcome measure. RESULTS: A screening battery assessing four clinical variables (disease duration, contrast sensitivity, Clinical Dementia Rating, and motor part of the Unified Parkinson's Disease Rating Scale) provided the best model (R(2) = 0.52) to predict the fitness to drive and correctly classified 36 (90%) of the patients with PD as pass or fail (sensitivity = 91%, specificity = 90%). The Test Ride for Investigating Practical fitness to drive (TRIP) driving simulator score discriminated significantly between drivers with PD and their healthy peers (p = 0.0008). When the TRIP driving simulator score was added to the clinical model, the total explained variance increased (R(2) = 0.60) and correctly classified 39 (97.5%) of drivers with PD into the pass/fail category (sensitivity = 91%, specificity = 100%). CONCLUSIONS: A short clinical screening battery that measures disease duration, contrast sensitivity, cognitive and motor functions can predict fitness to drive in people with Parkinson disease with a high degree of accuracy.

Cataplexy brought on by playing checkers.

A 55-year-old man had experienced spells of weakness and trembling daily for 24 years before the correct diagnosis of cataplexy was reached. While the patient played checkers, the degree of cataplexy worsened when it was the patient's move and improved when it was his opponent's. Response to therapy was excellent.

Immune response to intramuscular revaccination after primary intradermal vaccination against hepatitis B.

We studied the immune response to (re)vaccination with three 1-mL doses of recombinant hepatitis B vaccine administered intramuscularly on days 0, 30, and 180 to 75 public safety workers (PSWs) who had not developed antibody to hepatitis B surface antigen (anti-HBs) after three intradermal doses of hepatitis B vaccine; to 45 PSWs who had initially developed antibody but did not have detectable levels 11 months after intradermal vaccination; and to 16 hepatitis B-susceptible PSWs. Levels of anti-HBs were measured on days 14 and 210 after the first intramuscular dose. Overall, 46 (61%) of 75 PSWs in the initial-nonresponse group, 43 (96%) of 45 PSWs in the lost-response group, and 5 (31%) of 16 PSWs in the new-vaccinee group had anti-HBs titers of > or = 10 mIU/mL on day 14. On day 210 (after three doses), the figures were 62 (89%) of 70 PSWs in the initial-nonresponse group, 43 (98%) of 44 PSWs in the lost-response group, and 15 (94%) of 16 PSWs in the new-vaccine group. We conclude that persons who do not seroconvert after intradermal vaccination should receive three doses of hepatitis B vaccine by the intramuscular route.