Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/6831 |
Resumo: | Background: White matter changes (WMC) are related to cognitive deficits and dementia. Our aim was to determine the extent to which the performance in neuropsychological tests would be able to predict the clinical diagnosis of dementia. Methods: The LADIS (Leukoaraiosis and Disability) is a prospective study that evaluates the impact of WMC on the transition of independent elderly to disability. The subjects were evaluated at baseline and yearly during 3 years with a comprehensive clinical, functional and neuropsychological protocol. At each visit, dementia was classified according to clinical criteria. The performance in the neuropsychological batteries was compared according to the clinical diagnosis of dementia. Results: From the initially enrolled 639 subjects, 480 were evaluated at year 3. Dementia was diagnosed in 90 participants. The demented subjects had worse performance in almost all the baseline cognitive tests. Using receiver operating characteristic curves, we found that the Vascular Dementia Assessment Scale (VADAS) battery had higher sensitivity and specificity rates (area under the curve = 82%) to identify dementia compared with the Mini-Mental State Examination (MMSE) and Alzheimer’s Disease Assessment Scale. Worse performance on baseline MMSE (β = 0.33; p < 0.001) and VADAS (β = –0.07; p = 0.02) were predictors of dementia (regression analyses). Conclusion: Performance on the MMSE and the VADAS battery were important predictors of dementia at a 3-year period. |
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Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS StudyNeuropsychological predictorsDementiaLADISWhite matter changesBackground: White matter changes (WMC) are related to cognitive deficits and dementia. Our aim was to determine the extent to which the performance in neuropsychological tests would be able to predict the clinical diagnosis of dementia. Methods: The LADIS (Leukoaraiosis and Disability) is a prospective study that evaluates the impact of WMC on the transition of independent elderly to disability. The subjects were evaluated at baseline and yearly during 3 years with a comprehensive clinical, functional and neuropsychological protocol. At each visit, dementia was classified according to clinical criteria. The performance in the neuropsychological batteries was compared according to the clinical diagnosis of dementia. Results: From the initially enrolled 639 subjects, 480 were evaluated at year 3. Dementia was diagnosed in 90 participants. The demented subjects had worse performance in almost all the baseline cognitive tests. Using receiver operating characteristic curves, we found that the Vascular Dementia Assessment Scale (VADAS) battery had higher sensitivity and specificity rates (area under the curve = 82%) to identify dementia compared with the Mini-Mental State Examination (MMSE) and Alzheimer’s Disease Assessment Scale. Worse performance on baseline MMSE (β = 0.33; p < 0.001) and VADAS (β = –0.07; p = 0.02) were predictors of dementia (regression analyses). Conclusion: Performance on the MMSE and the VADAS battery were important predictors of dementia at a 3-year period.Karger Medical and Scientific Publishers2014-03-31T14:40:59Z2010-01-01T00:00:00Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/6831eng1420-8008Madureira, SofiaVerdelho, AnaMoleiro, CarlaFerro, José M.Erkinjuntti, TimoJokinen, H.Pantoni, L.Fazekas, F.Van der Flier, W.Visser, M.Waldemar, G.Wallin, A.Hennerici, M.Inzitari, D.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T18:02:00Zoai:repositorio.iscte-iul.pt:10071/6831Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:33:19.415554Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
title |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
spellingShingle |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study Madureira, Sofia Neuropsychological predictors Dementia LADIS White matter changes |
title_short |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
title_full |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
title_fullStr |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
title_full_unstemmed |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
title_sort |
Neuropsychological Predictors of Dementia in a Three-Year Follow-Up Period: Data from the LADIS Study |
author |
Madureira, Sofia |
author_facet |
Madureira, Sofia Verdelho, Ana Moleiro, Carla Ferro, José M. Erkinjuntti, Timo Jokinen, H. Pantoni, L. Fazekas, F. Van der Flier, W. Visser, M. Waldemar, G. Wallin, A. Hennerici, M. Inzitari, D. |
author_role |
author |
author2 |
Verdelho, Ana Moleiro, Carla Ferro, José M. Erkinjuntti, Timo Jokinen, H. Pantoni, L. Fazekas, F. Van der Flier, W. Visser, M. Waldemar, G. Wallin, A. Hennerici, M. Inzitari, D. |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Madureira, Sofia Verdelho, Ana Moleiro, Carla Ferro, José M. Erkinjuntti, Timo Jokinen, H. Pantoni, L. Fazekas, F. Van der Flier, W. Visser, M. Waldemar, G. Wallin, A. Hennerici, M. Inzitari, D. |
dc.subject.por.fl_str_mv |
Neuropsychological predictors Dementia LADIS White matter changes |
topic |
Neuropsychological predictors Dementia LADIS White matter changes |
description |
Background: White matter changes (WMC) are related to cognitive deficits and dementia. Our aim was to determine the extent to which the performance in neuropsychological tests would be able to predict the clinical diagnosis of dementia. Methods: The LADIS (Leukoaraiosis and Disability) is a prospective study that evaluates the impact of WMC on the transition of independent elderly to disability. The subjects were evaluated at baseline and yearly during 3 years with a comprehensive clinical, functional and neuropsychological protocol. At each visit, dementia was classified according to clinical criteria. The performance in the neuropsychological batteries was compared according to the clinical diagnosis of dementia. Results: From the initially enrolled 639 subjects, 480 were evaluated at year 3. Dementia was diagnosed in 90 participants. The demented subjects had worse performance in almost all the baseline cognitive tests. Using receiver operating characteristic curves, we found that the Vascular Dementia Assessment Scale (VADAS) battery had higher sensitivity and specificity rates (area under the curve = 82%) to identify dementia compared with the Mini-Mental State Examination (MMSE) and Alzheimer’s Disease Assessment Scale. Worse performance on baseline MMSE (β = 0.33; p < 0.001) and VADAS (β = –0.07; p = 0.02) were predictors of dementia (regression analyses). Conclusion: Performance on the MMSE and the VADAS battery were important predictors of dementia at a 3-year period. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01T00:00:00Z 2010 2014-03-31T14:40:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/6831 |
url |
http://hdl.handle.net/10071/6831 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1420-8008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Karger Medical and Scientific Publishers |
publisher.none.fl_str_mv |
Karger Medical and Scientific Publishers |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134894729723904 |