MovDisordV3, PascalFrancis, Corpus, bibRecord, 000B11

Discriminative Power of Different Nonmotor Signs in Early Parkinson's Disease. A Case-Control Study

Identifieur interne : 000B11 ( PascalFrancis/Corpus ); précédent : 000B10; suivant : 000B12

Discriminative Power of Different Nonmotor Signs in Early Parkinson's Disease. A Case-Control Study

Auteurs : Nico J. Diederich ; Vannina Pieri ; Géraldine Hipp ; Olivier Rufra ; Sara Blyth ; Michel Vaillant

Source :

Movement disorders [ 0885-3185 ] ; 2010.

RBID : Pascal:10-0288346

Descripteurs français

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

English descriptors

KwdEn :
- Atonia, Case control study, Nervous system diseases, Olfactory disorder, Parkinson disease, Rapid eye movement sleep, Sign, Vision disorder.

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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C01	`01`		`ENG`	@0 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.
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C07	`03`	`X`	`FRE`	`@0 Maladie dégénérative @5 39`
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Format Inist (serveur)

NO :	PASCAL 10-0288346 INIST
ET :	Discriminative Power of Different Nonmotor Signs in Early Parkinson's Disease. A Case-Control Study
AU :	DIEDERICH (Nico J.); PIERI (Vannina); HIPP (Géraldine); RUFRA (Olivier); BLYTH (Sara); VAILLANT (Michel)
AF :	Department of Neurosciences, Centre Hospitalier de Luxembourg/Luxembourg-City/Luxembourg (1 aut., 2 aut., 3 aut., 5 aut.); Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg/Luxembourg-City/Luxembourg (1 aut., 4 aut.); Centre of Health Studies, Clinical Epidemiology, CRP Santé/Luxembourg-City/Luxembourg (6 aut.)
DT :	Publication en série; Niveau analytique
SO :	Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 7; Pp. 882-887; Bibl. 29 ref.
LA :	Anglais
EA :	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.
CC :	002B17; 002B17G
FD :	Maladie de Parkinson; Trouble de la vision; Trouble de l'odorat; Pathologie du système nerveux; Signe; Etude cas témoin; Sommeil paradoxal; Atonie
FG :	Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du système nerveux central; Pathologie de l'oeil; Cycle veille sommeil; Trouble neurologique
ED :	Parkinson disease; Vision disorder; Olfactory disorder; Nervous system diseases; Sign; Case control study; Rapid eye movement sleep; Atonia
EG :	Cerebral disorder; Extrapyramidal syndrome; Degenerative disease; Central nervous system disease; Eye disease; Sleep wake cycle; Neurological disorder
SD :	Parkinson enfermedad; Trastorno visión; Trastorno olfatorio; Sistema nervioso patología; Signo; Estudio caso control; Sueño paradojal; Atonía
LO :	INIST-20953.354000193040220100
ID :	10-0288346

Links to Exploration step

Pascal:10-0288346

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.</div>
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<fC01 i1="01" l="ENG"><s0>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.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B17</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>002B17G</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Maladie de Parkinson</s0>
<s2>NM</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Parkinson disease</s0>
<s2>NM</s2>
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<s5>03</s5>
</fC03>
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<s5>03</s5>
</fC03>
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<s5>03</s5>
</fC03>
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<s5>04</s5>
</fC03>
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</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Signe</s0>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Sign</s0>
<s5>09</s5>
</fC03>
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<s5>09</s5>
</fC03>
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<fC03 i1="06" i2="X" l="ENG"><s0>Case control study</s0>
<s5>10</s5>
</fC03>
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<s5>10</s5>
</fC03>
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<s5>11</s5>
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<s5>11</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Atonie</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Atonia</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Atonía</s0>
<s5>12</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Pathologie de l'encéphale</s0>
<s5>37</s5>
</fC07>
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<s5>37</s5>
</fC07>
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<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Syndrome extrapyramidal</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Extrapyramidal syndrome</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Extrapiramidal síndrome</s0>
<s5>38</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Maladie dégénérative</s0>
<s5>39</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Degenerative disease</s0>
<s5>39</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Enfermedad degenerativa</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Pathologie du   système nerveux central</s0>
<s5>40</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Central nervous system disease</s0>
<s5>40</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Sistema nervosio central patología</s0>
<s5>40</s5>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Pathologie de l'oeil</s0>
<s5>42</s5>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Eye disease</s0>
<s5>42</s5>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Ojo patología</s0>
<s5>42</s5>
</fC07>
<fC07 i1="06" i2="X" l="FRE"><s0>Cycle veille sommeil</s0>
<s5>43</s5>
</fC07>
<fC07 i1="06" i2="X" l="ENG"><s0>Sleep wake cycle</s0>
<s5>43</s5>
</fC07>
<fC07 i1="06" i2="X" l="SPA"><s0>Ciclo sueño vigilia</s0>
<s5>43</s5>
</fC07>
<fC07 i1="07" i2="X" l="FRE"><s0>Trouble neurologique</s0>
<s5>44</s5>
</fC07>
<fC07 i1="07" i2="X" l="ENG"><s0>Neurological disorder</s0>
<s5>44</s5>
</fC07>
<fC07 i1="07" i2="X" l="SPA"><s0>Trastorno neurológico</s0>
<s5>44</s5>
</fC07>
<fN21><s1>186</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
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<fN82><s1>OTO</s1>
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<server><NO>PASCAL 10-0288346 INIST</NO>
<ET>Discriminative Power of Different Nonmotor Signs in Early Parkinson's Disease. A Case-Control Study</ET>
<AU>DIEDERICH (Nico J.); PIERI (Vannina); HIPP (Géraldine); RUFRA (Olivier); BLYTH (Sara); VAILLANT (Michel)</AU>
<AF>Department of Neurosciences, Centre Hospitalier de Luxembourg/Luxembourg-City/Luxembourg (1 aut., 2 aut., 3 aut., 5 aut.); Interdisciplinary Sleep Laboratory, Centre Hospitalier de Luxembourg/Luxembourg-City/Luxembourg (1 aut., 4 aut.); Centre of Health Studies, Clinical Epidemiology, CRP Santé/Luxembourg-City/Luxembourg (6 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 7; Pp. 882-887; Bibl. 29 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>002B17; 002B17G</CC>
<FD>Maladie de Parkinson; Trouble de la vision; Trouble de l'odorat; Pathologie du   système nerveux; Signe; Etude cas témoin; Sommeil paradoxal; Atonie</FD>
<FG>Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du   système nerveux central; Pathologie de l'oeil; Cycle veille sommeil; Trouble neurologique</FG>
<ED>Parkinson disease; Vision disorder; Olfactory disorder; Nervous system diseases; Sign; Case control study; Rapid eye movement sleep; Atonia</ED>
<EG>Cerebral disorder; Extrapyramidal syndrome; Degenerative disease; Central nervous system disease; Eye disease; Sleep wake cycle; Neurological disorder</EG>
<SD>Parkinson enfermedad; Trastorno visión; Trastorno olfatorio; Sistema nervioso patología; Signo; Estudio caso control; Sueño paradojal; Atonía</SD>
<LO>INIST-20953.354000193040220100</LO>
<ID>10-0288346</ID>
</server>
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	Movement Disorders (revue)
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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

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