MovDisordV3, Main, Exploration, bibRecord, 001D44

Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study

Identifieur interne : 001D44 ( Main/Exploration ); précédent : 001D43; suivant : 001D45

Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study

Auteurs : Nico J. Diederich [Luxembourg (pays)] ; Vannina Pieri [Luxembourg (pays)] ; Géraldine Hipp [Luxembourg (pays)] ; Olivier Rufra [Luxembourg (pays)] ; Sara Blyth [Luxembourg (pays)] ; Michel Vaillant [Luxembourg (pays)]

Source :

Movement Disorders [ 0885-3185 ] ; 2010-05-15.

RBID : ISTEX:0C03FFD2C797BFC0C592272E2B4DC5F45873C636

Descripteurs français

Pascal (Inist)
- Atonie, Etude cas témoin, Maladie de Parkinson, Pathologie du système nerveux, Signe, Sommeil paradoxal, Trouble de l'odorat, Trouble de la vision.

English descriptors

Abstract

The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society

Url:

https://api.istex.fr/document/0C03FFD2C797BFC0C592272E2B4DC5F45873C636/fulltext/pdf

DOI: 10.1002/mds.22963

Affiliations:

Luxembourg (pays)

Le document en format XML

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<front><div type="abstract" xml:lang="en">The objective of this study was to evaluate the discriminative power of different nonmotor signs for early diagnosis of Parkinson's disease (PD). Thirty patients with PD with ≤3 years of disease duration were compared with 30 healthy controls. Six deficit domains (DD) were defined: hyposmia, sleep abnormalities, dysautonomia, visual deficits, executive dysfunction, and depression. Plotting of Receiver operating characteristic (ROC) curves and exact conditional logistic modeling, followed by manual stepwise descending procedure were used to identify a model for nonmotor signs that detects early PD. Patients with PD and controls did not differ in terms of age, gender, and educational level. Several DD discriminated patients with PD from healthy controls. Visual deficits showed the largest area under the ROC curve (0.83), followed by hyposmia (0.81) and dysautonomia (0.80). When combining the DD visual deficits and dysautonomia, the best residual model was obtained; it maximized both sensitivity and specificity for PD at a level of 0.77. At an early disease stage, several nonmotor domains were already able to discriminate patients with PD from healthy controls. Visual deficits had the best discriminatory power. Being brief and inexpensive, visual tests should be further investigated in larger cohorts as potential screening tool for early PD. © 2010 Movement Disorder Society</div>
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Movement Disorders (revue)

Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study

Discriminative power of different nonmotor signs in early Parkinson's disease. A case–control study

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)
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