Cognitive and SPECT characteristics predict progression of Parkinson's disease in newly diagnosed patients
Identifieur interne : 003030 ( Main/Curation ); précédent : 003029; suivant : 003031Cognitive and SPECT characteristics predict progression of Parkinson's disease in newly diagnosed patients
Auteurs : Kathy Dujardin [France] ; Luc Defebvre [France] ; Alain Duhamel [France] ; Pascal Lecouffe [France] ; Pascal Rogelet [France] ; Marc Steinling [France] ; Alain Destée [France]Source :
- Journal of neurology [ 0340-5354 ] ; 2004.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Homme.
English descriptors
- KwdEn :
- Aged, Brain Mapping, Cerebrovascular Circulation (physiology), Cognition (physiology), Cohort Studies, Disease Progression, Evolution, Factor Analysis, Statistical, Female, Follow-Up Studies, Functional Laterality (physiology), Human, Humans, Iodine Radioisotopes (metabolism), Male, Middle Aged, Nervous system diseases, Neuropsychological Tests (statistics & numerical data), Parkinson Disease (diagnostic imaging), Parkinson Disease (physiopathology), Parkinson disease, Photon, Predictive Value of Tests, Single photon emission tomography, Survey, Tomography, Emission-Computed, Single-Photon.
- MESH :
- chemical , metabolism : Iodine Radioisotopes.
- diagnostic imaging : Parkinson Disease.
- physiology : Cerebrovascular Circulation, Cognition, Functional Laterality.
- physiopathology : Parkinson Disease.
- statistics & numerical data : Neuropsychological Tests.
- Aged, Brain Mapping, Cohort Studies, Disease Progression, Factor Analysis, Statistical, Female, Follow-Up Studies, Humans, Male, Middle Aged, Predictive Value of Tests, Tomography, Emission-Computed, Single-Photon.
Abstract
Objective To identify features in cognitive functioning and regional cerebral blood flow (rCBF) in newly diagnosed Parkinson's disease (PD) patients and to determine whether these factors are able to predict the progression of the disease in general and the development of cognitive decline in particular. Methods 50 previously treatment-naive PD patients participated in the study. Cognitive assessment and SPECT were performed twice: at the time of diagnosis and then 3 years later. Six patients died or refused to continue. The Mattis dementia rating scale, the WAIS-R digit span test, a word list learning/recall test, a word fluency task and the Stroop wordcolour test were used to assess cognitive function. rCBF was measured in 10 pairs of regions of interest. Principal component analysis of the data from the final examination was used to determine which variables allowed the formation of patient subgroups. Thereafter, factorial discriminant analysis (FDA) was performed in order to obtain a predictive model of these final classes. Results A stepwise procedure enabled the identification of 3 clusters (26, 16 and 2 patients). As the patients in the smallest cluster met the criteria for dementia at the final examination, they were discarded from further analyses. All the cognitive variables contributed to the constitution of the two other clusters. Age, educational level and all the rCBF parameters also contributed but to a lesser extent. Comparison of these groups showed reduced overall cognitive efficiency and an exacerbated subcorticofrontal syndrome in the 16-patient cluster. FDA showed that the best predictive model for the final classes was based on 7 variables: educational level, semantic and alternating word fluency, Stroop interference index and the right medial frontal, left parietal and left lenticular nucleus rCBF findings. Conclusion Even though both cognitive and rCBF parameters help predict the progression of newly diagnosed PD patients and bearing in mind the limitations of the SPECT method used here, it appears that the contribution of cognitive assessment is greater than that of rCBF measurement.
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<series><title level="j" type="main">Journal of neurology</title>
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<term>Brain Mapping</term>
<term>Cerebrovascular Circulation (physiology)</term>
<term>Cognition (physiology)</term>
<term>Cohort Studies</term>
<term>Disease Progression</term>
<term>Evolution</term>
<term>Factor Analysis, Statistical</term>
<term>Female</term>
<term>Follow-Up Studies</term>
<term>Functional Laterality (physiology)</term>
<term>Human</term>
<term>Humans</term>
<term>Iodine Radioisotopes (metabolism)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Nervous system diseases</term>
<term>Neuropsychological Tests (statistics & numerical data)</term>
<term>Parkinson Disease (diagnostic imaging)</term>
<term>Parkinson Disease (physiopathology)</term>
<term>Parkinson disease</term>
<term>Photon</term>
<term>Predictive Value of Tests</term>
<term>Single photon emission tomography</term>
<term>Survey</term>
<term>Tomography, Emission-Computed, Single-Photon</term>
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<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Iodine Radioisotopes</term>
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<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Parkinson Disease</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Cerebrovascular Circulation</term>
<term>Cognition</term>
<term>Functional Laterality</term>
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<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term>
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<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Neuropsychological Tests</term>
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<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Brain Mapping</term>
<term>Cohort Studies</term>
<term>Disease Progression</term>
<term>Factor Analysis, Statistical</term>
<term>Female</term>
<term>Follow-Up Studies</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Predictive Value of Tests</term>
<term>Tomography, Emission-Computed, Single-Photon</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Système nerveux pathologie</term>
<term>Tomoscintigraphie émission monophotonique</term>
<term>Photon</term>
<term>Parkinson maladie</term>
<term>Homme</term>
<term>Evolution</term>
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<front><div type="abstract" xml:lang="en">Objective To identify features in cognitive functioning and regional cerebral blood flow (rCBF) in newly diagnosed Parkinson's disease (PD) patients and to determine whether these factors are able to predict the progression of the disease in general and the development of cognitive decline in particular. Methods 50 previously treatment-naive PD patients participated in the study. Cognitive assessment and SPECT were performed twice: at the time of diagnosis and then 3 years later. Six patients died or refused to continue. The Mattis dementia rating scale, the WAIS-R digit span test, a word list learning/recall test, a word fluency task and the Stroop wordcolour test were used to assess cognitive function. rCBF was measured in 10 pairs of regions of interest. Principal component analysis of the data from the final examination was used to determine which variables allowed the formation of patient subgroups. Thereafter, factorial discriminant analysis (FDA) was performed in order to obtain a predictive model of these final classes. Results A stepwise procedure enabled the identification of 3 clusters (26, 16 and 2 patients). As the patients in the smallest cluster met the criteria for dementia at the final examination, they were discarded from further analyses. All the cognitive variables contributed to the constitution of the two other clusters. Age, educational level and all the rCBF parameters also contributed but to a lesser extent. Comparison of these groups showed reduced overall cognitive efficiency and an exacerbated subcorticofrontal syndrome in the 16-patient cluster. FDA showed that the best predictive model for the final classes was based on 7 variables: educational level, semantic and alternating word fluency, Stroop interference index and the right medial frontal, left parietal and left lenticular nucleus rCBF findings. Conclusion Even though both cognitive and rCBF parameters help predict the progression of newly diagnosed PD patients and bearing in mind the limitations of the SPECT method used here, it appears that the contribution of cognitive assessment is greater than that of rCBF measurement.</div>
</front>
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<author><name sortKey="Destee, Alain" sort="Destee, Alain" uniqKey="Destee A" first="Alain" last="Destee">Alain Destée</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Cognitive and SPECT characteristics predict progression of Parkinson's disease in newly diagnosed patients</title>
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<author><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name>
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<s2>59037 Lille</s2>
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<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
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<placeName><settlement type="city">Lille</settlement>
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<orgName type="university" n="3">Université Lille 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
</affiliation>
</author>
<author><name sortKey="Duhamel, Alain" sort="Duhamel, Alain" uniqKey="Duhamel A" first="Alain" last="Duhamel">Alain Duhamel</name>
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<s2>Lille</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Hauts-de-France</region>
<region type="old region">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
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<author><name sortKey="Lecouffe, Pascal" sort="Lecouffe, Pascal" uniqKey="Lecouffe P" first="Pascal" last="Lecouffe">Pascal Lecouffe</name>
<affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Nuclear Medicine Unit, Faculty of Medicine and Lille University Hospital</s1>
<s2>Lille</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Hauts-de-France</region>
<region type="old region">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Rogelet, Pascal" sort="Rogelet, Pascal" uniqKey="Rogelet P" first="Pascal" last="Rogelet">Pascal Rogelet</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Neurologie et Pathologie du Mouvement, Neurologie A, Hôpital Salengro, Centre Hospitalier Universitaire</s1>
<s2>59037 Lille</s2>
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<placeName><region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
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<author><name sortKey="Steinling, Marc" sort="Steinling, Marc" uniqKey="Steinling M" first="Marc" last="Steinling">Marc Steinling</name>
<affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Nuclear Medicine Unit, Faculty of Medicine and Lille University Hospital</s1>
<s2>Lille</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Hauts-de-France</region>
<region type="old region">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Destee, Alain" sort="Destee, Alain" uniqKey="Destee A" first="Alain" last="Destee">Alain Destée</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Neurologie et Pathologie du Mouvement, Neurologie A, Hôpital Salengro, Centre Hospitalier Universitaire</s1>
<s2>59037 Lille</s2>
<s3>FRA</s3>
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<country>France</country>
<placeName><region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
<settlement type="city">Lille</settlement>
</placeName>
<placeName><settlement type="city">Lille</settlement>
<region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
</placeName>
<orgName type="university" n="3">Université Lille 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Journal of neurology</title>
<title level="j" type="abbreviated">J. neurol.</title>
<idno type="ISSN">0340-5354</idno>
<imprint><date when="2004">2004</date>
</imprint>
</series>
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<seriesStmt><title level="j" type="main">Journal of neurology</title>
<title level="j" type="abbreviated">J. neurol.</title>
<idno type="ISSN">0340-5354</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Evolution</term>
<term>Human</term>
<term>Nervous system diseases</term>
<term>Parkinson disease</term>
<term>Photon</term>
<term>Single photon emission tomography</term>
<term>Survey</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Système nerveux pathologie</term>
<term>Tomoscintigraphie émission monophotonique</term>
<term>Photon</term>
<term>Parkinson maladie</term>
<term>Homme</term>
<term>Evolution</term>
<term>Enquête</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term>
</keywords>
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<front><div type="abstract" xml:lang="en">Objective To identify features in cognitive functioning and regional cerebral blood flow (rCBF) in newly diagnosed Parkinson's disease (PD) patients and to determine whether these factors are able to predict the progression of the disease in general and the development of cognitive decline in particular. Methods 50 previously treatment-naive PD patients participated in the study. Cognitive assessment and SPECT were performed twice: at the time of diagnosis and then 3 years later. Six patients died or refused to continue. The Mattis dementia rating scale, the WAIS-R digit span test, a word list learning/recall test, a word fluency task and the Stroop wordcolour test were used to assess cognitive function. rCBF was measured in 10 pairs of regions of interest. Principal component analysis of the data from the final examination was used to determine which variables allowed the formation of patient subgroups. Thereafter, factorial discriminant analysis (FDA) was performed in order to obtain a predictive model of these final classes. Results A stepwise procedure enabled the identification of 3 clusters (26, 16 and 2 patients). As the patients in the smallest cluster met the criteria for dementia at the final examination, they were discarded from further analyses. All the cognitive variables contributed to the constitution of the two other clusters. Age, educational level and all the rCBF parameters also contributed but to a lesser extent. Comparison of these groups showed reduced overall cognitive efficiency and an exacerbated subcorticofrontal syndrome in the 16-patient cluster. FDA showed that the best predictive model for the final classes was based on 7 variables: educational level, semantic and alternating word fluency, Stroop interference index and the right medial frontal, left parietal and left lenticular nucleus rCBF findings. Conclusion Even though both cognitive and rCBF parameters help predict the progression of newly diagnosed PD patients and bearing in mind the limitations of the SPECT method used here, it appears that the contribution of cognitive assessment is greater than that of rCBF measurement.</div>
</front>
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<affiliation wicri:level="3"><nlm:affiliation>Neurologie et Pathologie du Mouvement Neurologie A, Hôpital Salengro Centre Hospitalier Universitaire, 59037, Lille Cedex, France. dujardin@univ-lille3.fr</nlm:affiliation>
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<orgName type="university" n="3">Université Lille 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
<country>France</country>
<placeName><settlement type="city">Lille</settlement>
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<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Cognitive and SPECT characteristics predict progression of Parkinson's disease in newly diagnosed patients.</title>
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<affiliation wicri:level="3"><nlm:affiliation>Neurologie et Pathologie du Mouvement Neurologie A, Hôpital Salengro Centre Hospitalier Universitaire, 59037, Lille Cedex, France. dujardin@univ-lille3.fr</nlm:affiliation>
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<author><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name>
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<placeName><settlement type="city">Lille</settlement>
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<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
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<author><name sortKey="Duhamel, Alain" sort="Duhamel, Alain" uniqKey="Duhamel A" first="Alain" last="Duhamel">Alain Duhamel</name>
</author>
<author><name sortKey="Lecouffe, Pascal" sort="Lecouffe, Pascal" uniqKey="Lecouffe P" first="Pascal" last="Lecouffe">Pascal Lecouffe</name>
</author>
<author><name sortKey="Rogelet, Pascal" sort="Rogelet, Pascal" uniqKey="Rogelet P" first="Pascal" last="Rogelet">Pascal Rogelet</name>
</author>
<author><name sortKey="Steinling, Marc" sort="Steinling, Marc" uniqKey="Steinling M" first="Marc" last="Steinling">Marc Steinling</name>
</author>
<author><name sortKey="Destee, Alain" sort="Destee, Alain" uniqKey="Destee A" first="Alain" last="Destée">Alain Destée</name>
<affiliation><country>France</country>
<placeName><settlement type="city">Lille</settlement>
<region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
</placeName>
<orgName type="university" n="3">Université Lille 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
<country>France</country>
<placeName><settlement type="city">Lille</settlement>
<region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
</placeName>
<orgName type="university" n="3">Université Lille 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j">Journal of neurology</title>
<idno type="ISSN">0340-5354</idno>
<imprint><date when="2004" type="published">2004</date>
</imprint>
</series>
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<term>Brain Mapping</term>
<term>Cerebrovascular Circulation (physiology)</term>
<term>Cognition (physiology)</term>
<term>Cohort Studies</term>
<term>Disease Progression</term>
<term>Factor Analysis, Statistical</term>
<term>Female</term>
<term>Follow-Up Studies</term>
<term>Functional Laterality (physiology)</term>
<term>Humans</term>
<term>Iodine Radioisotopes (metabolism)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Neuropsychological Tests (statistics & numerical data)</term>
<term>Parkinson Disease (diagnostic imaging)</term>
<term>Parkinson Disease (physiopathology)</term>
<term>Predictive Value of Tests</term>
<term>Tomography, Emission-Computed, Single-Photon</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Iodine Radioisotopes</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Cerebrovascular Circulation</term>
<term>Cognition</term>
<term>Functional Laterality</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Neuropsychological Tests</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Brain Mapping</term>
<term>Cohort Studies</term>
<term>Disease Progression</term>
<term>Factor Analysis, Statistical</term>
<term>Female</term>
<term>Follow-Up Studies</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Predictive Value of Tests</term>
<term>Tomography, Emission-Computed, Single-Photon</term>
</keywords>
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<front><div type="abstract" xml:lang="en">To identify features in cognitive functioning and regional cerebral blood flow (rCBF) in newly diagnosed Parkinson's disease (PD) patients and to determine whether these factors are able to predict the progression of the disease in general and the development of cognitive decline in particular.</div>
</front>
</TEI>
</PubMed>
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