MovDisordV3, Main, Exploration, bibRecord, 003257

Predictors of driving assessment outcome in Parkinson's disease

Identifieur interne : 003257 ( Main/Exploration ); précédent : 003256; suivant : 003258

Predictors 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.

RBID : ISTEX:AE613A062AEF01977732877E839C756420F5509E

Descripteurs français

Pascal (Inist)
- Facteur risque, Parkinson maladie, Performance, Pronostic, Prédiction, Système nerveux pathologie, Vision.

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:

https://api.istex.fr/document/AE613A062AEF01977732877E839C756420F5509E/fulltext/pdf

DOI: 10.1002/mds.20709

Affiliations:

Australie

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Movement Disorders (revue)

Predictors of driving assessment outcome in Parkinson's disease

Predictors of driving assessment outcome in Parkinson's disease

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

	Movement Disorders (revue)
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.