Predictors of driving assessment outcome in Parkinson's disease
Identifieur interne : 003257 ( Main/Exploration ); précédent : 003256; suivant : 003258Predictors of driving assessment outcome in Parkinson's disease
Auteurs : Charles J. Worringham [Australie] ; Joanne M. Wood [Australie] ; Graham K. Kerr [Australie] ; Peter A. Silburn [Australie]Source :
- Movement Disorders [ 0885-3185 ] ; 2006-02.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
- Activities of Daily Living (classification), Aged, Automobile Driver Examination (statistics & numerical data), Cognition Disorders (diagnosis), Cognition Disorders (epidemiology), Female, Humans, Male, Middle Aged, Nervous system diseases, Neurologic Examination (statistics & numerical data), Neuropsychological Tests (statistics & numerical data), Outcome Assessment (Health Care) (statistics & numerical data), Parkinson Disease (diagnosis), Parkinson Disease (epidemiology), Parkinson disease, Performance, Prediction, Prognosis, Psychomotor Disorders (diagnosis), Psychomotor Disorders (epidemiology), Reference Values, Reproducibility of Results, Risk factor, Vision, Vision Disorders (diagnosis), Vision Disorders (epidemiology), driving, prediction, psychomotor performance, risk factors, vision.
- MESH :
- classification : Activities of Daily Living.
- diagnosis : Cognition Disorders, Parkinson Disease, Psychomotor Disorders, Vision Disorders.
- epidemiology : Cognition Disorders, Parkinson Disease, Psychomotor Disorders, Vision Disorders.
- statistics & numerical data : Automobile Driver Examination, Neurologic Examination, Neuropsychological Tests, Outcome Assessment (Health Care).
- Aged, Female, Humans, Male, Middle Aged, Reference Values, Reproducibility of Results.
Abstract
This study evaluated selected clinical and functional tests as predictors of driving safety outcomes in Parkinson's disease (PD) patients. A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. These simple tests confer more objectivity and predictive power to clinical recommendations for driving, they reflect distinct functions that are necessary for safe driving, and they may be especially useful when on‐road assessments are not feasible. © 2005 Movement Disorder Society
Url:
DOI: 10.1002/mds.20709
Affiliations:
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Le document en format XML
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<term>Cognition Disorders (epidemiology)</term>
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<term>Nervous system diseases</term>
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<term>Neuropsychological Tests (statistics & numerical data)</term>
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<term>Parkinson Disease (epidemiology)</term>
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<term>Risk factor</term>
<term>Vision</term>
<term>Vision Disorders (diagnosis)</term>
<term>Vision Disorders (epidemiology)</term>
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<front><div type="abstract" xml:lang="en">This study evaluated selected clinical and functional tests as predictors of driving safety outcomes in Parkinson's disease (PD) patients. A total of 25 PD patients and 21 age‐matched controls, all regular drivers, underwent neurological evaluation and assessment of cognitive, visual, and motor function and a standardized, on‐road driving assessment. The capacity of the tests to predict pass/fail driving outcomes was determined by selecting a subset with the highest predictive value from each domain and then subjecting these subsets to discriminant function analysis. Accuracy, sensitivity, specificity, and positive and negative predictive values were determined. Three relatively simple tests from the larger battery predicted passes with relatively high sensitivity (PD, 72.7%; controls, 93.8%; both combined, 85.2%); and moderate specificity (PD, 64.3%; controls, 60.0%; both combined. 63.2%). These tests assessed motor performance (Purdue Pegboard test), contrast sensitivity (Pelli–Robson test), and cognitive function (verbal version of Symbol Digit Modalities test). Adding time since diagnosis for the PD group increased sensitivity to 90.9% and specificity to 71.4%. These simple tests confer more objectivity and predictive power to clinical recommendations for driving, they reflect distinct functions that are necessary for safe driving, and they may be especially useful when on‐road assessments are not feasible. © 2005 Movement Disorder Society</div>
</front>
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