White matter changes and diabetes predict cognitive decline in the elderly: 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/10071/6803 |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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 |
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/10071/6803 |
url |
http://hdl.handle.net/10071/6803 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0028-3878 |
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 |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1817546283076812800 |