White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study

Detalhes bibliográficos
Autor(a) principal: Verdelho, Ana
Data de Publicação: 2010
Outros Autores: Madureira, S., Moleiro, Carla, Ferro, J. M., Santos, C. O., Erkinjuntti, T., Pantoni, L., Fazekas, F., Visser, M., Waldemar, G., Wallin, A., Hennerici, M., Inzitari, D., LADIS Study
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/6803
Resumo: Objective: We aimed to study if age-related white matter changes (WMC) and vascular risk factors were predictors of cognitive decline in elderly subjects with WMC living independently. Methods: The Leukoaraiosis and Disability prospective multinational European study (LADIS) evaluates the impact of WMC on the transition of independent elderly subjects into disability. Independent elderly were enrolled due to the presence of WMC. Subjects were evaluated yearly during 3 years with a comprehensive clinical protocol and a neuropsychological battery. Additionally, dementia, subtypes of dementia, and cognitive decline without dementia were classified according to usual clinical criteria. MRI was performed at entry and at the end of the study. Results: A total of 639 subjects were included (74.1 ± 5 years, 55% women, 9.6 ± 3.8 years of schooling). At end of follow-up, 90 patients had dementia and 147 had cognitive impairment no dementia. Using Cox regression analysis, WMC severity independently predicted cognitive decline (dementia and not dementia), independently of age, education, and medial temporal atrophy (MTA). Diabetes at baseline was the only vascular risk factor that independently predicted cognitive decline during follow-up, controlling for age, education, WMC severity, and temporal atrophy. Considering subtypes of dementia, Alzheimer disease (AD) was predicted only by MTA, while vascular dementia was predicted by previous stroke, WMC severity, and MTA. Conclusion: WMC severity and diabetes are independent predictors of cognitive decline in an initially nondisabled elderly population. Vascular dementia is predicted by previous stroke and WMC, while AD is predicted only by MTA.
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spelling White matter changes and diabetes predict cognitive decline in the elderly: the LADIS studyObjective: We aimed to study if age-related white matter changes (WMC) and vascular risk factors were predictors of cognitive decline in elderly subjects with WMC living independently. Methods: The Leukoaraiosis and Disability prospective multinational European study (LADIS) evaluates the impact of WMC on the transition of independent elderly subjects into disability. Independent elderly were enrolled due to the presence of WMC. Subjects were evaluated yearly during 3 years with a comprehensive clinical protocol and a neuropsychological battery. Additionally, dementia, subtypes of dementia, and cognitive decline without dementia were classified according to usual clinical criteria. MRI was performed at entry and at the end of the study. Results: A total of 639 subjects were included (74.1 ± 5 years, 55% women, 9.6 ± 3.8 years of schooling). At end of follow-up, 90 patients had dementia and 147 had cognitive impairment no dementia. Using Cox regression analysis, WMC severity independently predicted cognitive decline (dementia and not dementia), independently of age, education, and medial temporal atrophy (MTA). Diabetes at baseline was the only vascular risk factor that independently predicted cognitive decline during follow-up, controlling for age, education, WMC severity, and temporal atrophy. Considering subtypes of dementia, Alzheimer disease (AD) was predicted only by MTA, while vascular dementia was predicted by previous stroke, WMC severity, and MTA. Conclusion: WMC severity and diabetes are independent predictors of cognitive decline in an initially nondisabled elderly population. Vascular dementia is predicted by previous stroke and WMC, while AD is predicted only by MTA.Lippincott Williams & Wilkins2014-03-26T17:54:07Z2010-01-01T00:00:00Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/6803eng0028-3878Verdelho, AnaMadureira, S.Moleiro, CarlaFerro, J. M.Santos, C. O.Erkinjuntti, T.Pantoni, L.Fazekas, F.Visser, M.Waldemar, G.Wallin, A.Hennerici, M.Inzitari, D.LADIS Studyinfo: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:RCAAP2024-07-07T02:38:22Zoai:repositorio.iscte-iul.pt:10071/6803Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T02:38:22Repositório 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 White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
title White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
spellingShingle White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
Verdelho, Ana
title_short White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
title_full White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
title_fullStr White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
title_full_unstemmed White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
title_sort White matter changes and diabetes predict cognitive decline in the elderly: the LADIS study
author Verdelho, Ana
author_facet Verdelho, Ana
Madureira, S.
Moleiro, Carla
Ferro, J. M.
Santos, C. O.
Erkinjuntti, T.
Pantoni, L.
Fazekas, F.
Visser, M.
Waldemar, G.
Wallin, A.
Hennerici, M.
Inzitari, D.
LADIS Study
author_role author
author2 Madureira, S.
Moleiro, Carla
Ferro, J. M.
Santos, C. O.
Erkinjuntti, T.
Pantoni, L.
Fazekas, F.
Visser, M.
Waldemar, G.
Wallin, A.
Hennerici, M.
Inzitari, D.
LADIS Study
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Verdelho, Ana
Madureira, S.
Moleiro, Carla
Ferro, J. M.
Santos, C. O.
Erkinjuntti, T.
Pantoni, L.
Fazekas, F.
Visser, M.
Waldemar, G.
Wallin, A.
Hennerici, M.
Inzitari, D.
LADIS Study
description Objective: We aimed to study if age-related white matter changes (WMC) and vascular risk factors were predictors of cognitive decline in elderly subjects with WMC living independently. Methods: The Leukoaraiosis and Disability prospective multinational European study (LADIS) evaluates the impact of WMC on the transition of independent elderly subjects into disability. Independent elderly were enrolled due to the presence of WMC. Subjects were evaluated yearly during 3 years with a comprehensive clinical protocol and a neuropsychological battery. Additionally, dementia, subtypes of dementia, and cognitive decline without dementia were classified according to usual clinical criteria. MRI was performed at entry and at the end of the study. Results: A total of 639 subjects were included (74.1 ± 5 years, 55% women, 9.6 ± 3.8 years of schooling). At end of follow-up, 90 patients had dementia and 147 had cognitive impairment no dementia. Using Cox regression analysis, WMC severity independently predicted cognitive decline (dementia and not dementia), independently of age, education, and medial temporal atrophy (MTA). Diabetes at baseline was the only vascular risk factor that independently predicted cognitive decline during follow-up, controlling for age, education, WMC severity, and temporal atrophy. Considering subtypes of dementia, Alzheimer disease (AD) was predicted only by MTA, while vascular dementia was predicted by previous stroke, WMC severity, and MTA. Conclusion: WMC severity and diabetes are independent predictors of cognitive decline in an initially nondisabled elderly population. Vascular dementia is predicted by previous stroke and WMC, while AD is predicted only by MTA.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010
2014-03-26T17:54:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/6803
url http://hdl.handle.net/10071/6803
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language eng
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dc.publisher.none.fl_str_mv Lippincott Williams & Wilkins
publisher.none.fl_str_mv Lippincott Williams & Wilkins
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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