Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease

Detalhes bibliográficos
Autor(a) principal: Souza,Carolina Pinto
Data de Publicação: 2016
Outros Autores: Oliveira,Guiomar Nascimento, Foss,Maria Paula, Tumas,Vitor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Dementia & Neuropsychologia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642016000400315
Resumo: ABSTRACT Background: Cognitive impairment is a common feature of Parkinson's disease (PD). The diagnoses of mild cognitive impairment (MCI) in patients with PD implies an increased risk for later development of dementia, however, it is unclear whether a specific type of cognitive loss confers increased risk for faster cognitive decline. Objective: Determine whether it was possible to identify distinct cognitive phenotypes in a sample of patients with PD. Methods: A cross-sectional evaluation of 100 patients with PD recruited from a movement disorders clinic was conducted. The patients were evaluated using the simplified motor score of the UPDRS, the Hoehn and Yahr, Schwab and England, Geriatric Depression Scale, Pfeffer Functional Activities Questionnaire, Clinical Dementia Rating Scale, Mini-Mental State Examination, clock drawing test, digit span, word list battery of CERAD, Frontal Assessment Battery and verbal fluency test. We classified the patients as having normal cognition (PDNC), MCI (PDMCI) or dementia (PDD). Data were analyzed using the chi-square test, non-parametric statistics and cluster analysis. Results: There were 40 patients with PDD, 39 with PDMCI and 21 with PDNC. Patients with PDD were older, had longer disease duration, lower education and lower MMSE scores. Cluster analysis showed 3 general distinct cognitive profiles that represented a continuum from mild to severe impairment of cognition, without distinguishing specific cognitive profiles. Conclusion: Cognitive impairment in PD occurs progressively and heterogeneously in most patients. It is unclear whether the definition of the initial phenotype of cognitive loss can be used to establish the cognitive prognosis of patients.
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spelling Cluster analysis of cognitive performance in a sample of patients with Parkinson's diseaseParkinson's diseasecognitive impairmentdementiamild cognitive impairmentcluster analysisABSTRACT Background: Cognitive impairment is a common feature of Parkinson's disease (PD). The diagnoses of mild cognitive impairment (MCI) in patients with PD implies an increased risk for later development of dementia, however, it is unclear whether a specific type of cognitive loss confers increased risk for faster cognitive decline. Objective: Determine whether it was possible to identify distinct cognitive phenotypes in a sample of patients with PD. Methods: A cross-sectional evaluation of 100 patients with PD recruited from a movement disorders clinic was conducted. The patients were evaluated using the simplified motor score of the UPDRS, the Hoehn and Yahr, Schwab and England, Geriatric Depression Scale, Pfeffer Functional Activities Questionnaire, Clinical Dementia Rating Scale, Mini-Mental State Examination, clock drawing test, digit span, word list battery of CERAD, Frontal Assessment Battery and verbal fluency test. We classified the patients as having normal cognition (PDNC), MCI (PDMCI) or dementia (PDD). Data were analyzed using the chi-square test, non-parametric statistics and cluster analysis. Results: There were 40 patients with PDD, 39 with PDMCI and 21 with PDNC. Patients with PDD were older, had longer disease duration, lower education and lower MMSE scores. Cluster analysis showed 3 general distinct cognitive profiles that represented a continuum from mild to severe impairment of cognition, without distinguishing specific cognitive profiles. Conclusion: Cognitive impairment in PD occurs progressively and heterogeneously in most patients. It is unclear whether the definition of the initial phenotype of cognitive loss can be used to establish the cognitive prognosis of patients.Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642016000400315Dementia & Neuropsychologia v.10 n.4 2016reponame:Dementia & Neuropsychologiainstname:Associação de Neurologia Cognitiva e do Comportamento (ANCC)instacron:ANCC10.1590/s1980-5764-2016dn1004010info:eu-repo/semantics/openAccessSouza,Carolina PintoOliveira,Guiomar NascimentoFoss,Maria PaulaTumas,Vitoreng2016-12-19T00:00:00Zoai:scielo:S1980-57642016000400315Revistahttp://www.demneuropsy.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||demneuropsy@uol.com.br1980-57641980-5764opendoar:2016-12-19T00:00Dementia & Neuropsychologia - Associação de Neurologia Cognitiva e do Comportamento (ANCC)false
dc.title.none.fl_str_mv Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
title Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
spellingShingle Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
Souza,Carolina Pinto
Parkinson's disease
cognitive impairment
dementia
mild cognitive impairment
cluster analysis
title_short Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
title_full Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
title_fullStr Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
title_full_unstemmed Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
title_sort Cluster analysis of cognitive performance in a sample of patients with Parkinson's disease
author Souza,Carolina Pinto
author_facet Souza,Carolina Pinto
Oliveira,Guiomar Nascimento
Foss,Maria Paula
Tumas,Vitor
author_role author
author2 Oliveira,Guiomar Nascimento
Foss,Maria Paula
Tumas,Vitor
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza,Carolina Pinto
Oliveira,Guiomar Nascimento
Foss,Maria Paula
Tumas,Vitor
dc.subject.por.fl_str_mv Parkinson's disease
cognitive impairment
dementia
mild cognitive impairment
cluster analysis
topic Parkinson's disease
cognitive impairment
dementia
mild cognitive impairment
cluster analysis
description ABSTRACT Background: Cognitive impairment is a common feature of Parkinson's disease (PD). The diagnoses of mild cognitive impairment (MCI) in patients with PD implies an increased risk for later development of dementia, however, it is unclear whether a specific type of cognitive loss confers increased risk for faster cognitive decline. Objective: Determine whether it was possible to identify distinct cognitive phenotypes in a sample of patients with PD. Methods: A cross-sectional evaluation of 100 patients with PD recruited from a movement disorders clinic was conducted. The patients were evaluated using the simplified motor score of the UPDRS, the Hoehn and Yahr, Schwab and England, Geriatric Depression Scale, Pfeffer Functional Activities Questionnaire, Clinical Dementia Rating Scale, Mini-Mental State Examination, clock drawing test, digit span, word list battery of CERAD, Frontal Assessment Battery and verbal fluency test. We classified the patients as having normal cognition (PDNC), MCI (PDMCI) or dementia (PDD). Data were analyzed using the chi-square test, non-parametric statistics and cluster analysis. Results: There were 40 patients with PDD, 39 with PDMCI and 21 with PDNC. Patients with PDD were older, had longer disease duration, lower education and lower MMSE scores. Cluster analysis showed 3 general distinct cognitive profiles that represented a continuum from mild to severe impairment of cognition, without distinguishing specific cognitive profiles. Conclusion: Cognitive impairment in PD occurs progressively and heterogeneously in most patients. It is unclear whether the definition of the initial phenotype of cognitive loss can be used to establish the cognitive prognosis of patients.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642016000400315
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642016000400315
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1980-5764-2016dn1004010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento
publisher.none.fl_str_mv Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento
dc.source.none.fl_str_mv Dementia & Neuropsychologia v.10 n.4 2016
reponame:Dementia & Neuropsychologia
instname:Associação de Neurologia Cognitiva e do Comportamento (ANCC)
instacron:ANCC
instname_str Associação de Neurologia Cognitiva e do Comportamento (ANCC)
instacron_str ANCC
institution ANCC
reponame_str Dementia & Neuropsychologia
collection Dementia & Neuropsychologia
repository.name.fl_str_mv Dementia & Neuropsychologia - Associação de Neurologia Cognitiva e do Comportamento (ANCC)
repository.mail.fl_str_mv ||demneuropsy@uol.com.br
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