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Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease

INTRODUCTION: Trials in Alzheimer's disease (AD) now include participants at the earliest stages to prevent further decline. However, the lack of tools sensitive to subtle functional changes in early-stage AD hinders the development of new therapies as it is difficult to prove their clinical re...

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Autores principales: Villeneuve, Sarah-Christine, Houot, Marion, Cacciamani, Federica, Verrijp, Merike, Dubois, Bruno, Sikkes, Sietske, Epelbaum, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804616/
https://www.ncbi.nlm.nih.gov/pubmed/31650012
http://dx.doi.org/10.1016/j.trci.2019.08.009
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author Villeneuve, Sarah-Christine
Houot, Marion
Cacciamani, Federica
Verrijp, Merike
Dubois, Bruno
Sikkes, Sietske
Epelbaum, Stéphane
author_facet Villeneuve, Sarah-Christine
Houot, Marion
Cacciamani, Federica
Verrijp, Merike
Dubois, Bruno
Sikkes, Sietske
Epelbaum, Stéphane
author_sort Villeneuve, Sarah-Christine
collection PubMed
description INTRODUCTION: Trials in Alzheimer's disease (AD) now include participants at the earliest stages to prevent further decline. However, the lack of tools sensitive to subtle functional changes in early-stage AD hinders the development of new therapies as it is difficult to prove their clinical relevance. METHODS: We assessed functional changes over three years in 289 elderly memory complainers from the Investigation of Alzheimer's Predictors in subjective memory complainers cohort using the Amsterdam Instrumental-Activities-of-Daily-Living questionnaire (A-IADL-Q). RESULTS: No overall functional decline related to AD imaging markers was evidenced. However, five distinct classes of A-IADL-Q trajectories were identified. The largest class (212 [73.4%]) had stable A-IADL-Q scores over 3 years. A second group (23 [8.0%]) showed a persistent functional decline, higher amyloid load (P = .0005), and lower education (P = .0392). DISCUSSION: The A-IADL-Q identified a subtle functional decline in asymptomatic at-risk AD individuals. This could have important implications in the field of early intervention in AD.
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spelling pubmed-68046162019-10-24 Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease Villeneuve, Sarah-Christine Houot, Marion Cacciamani, Federica Verrijp, Merike Dubois, Bruno Sikkes, Sietske Epelbaum, Stéphane Alzheimers Dement (N Y) Featured Article INTRODUCTION: Trials in Alzheimer's disease (AD) now include participants at the earliest stages to prevent further decline. However, the lack of tools sensitive to subtle functional changes in early-stage AD hinders the development of new therapies as it is difficult to prove their clinical relevance. METHODS: We assessed functional changes over three years in 289 elderly memory complainers from the Investigation of Alzheimer's Predictors in subjective memory complainers cohort using the Amsterdam Instrumental-Activities-of-Daily-Living questionnaire (A-IADL-Q). RESULTS: No overall functional decline related to AD imaging markers was evidenced. However, five distinct classes of A-IADL-Q trajectories were identified. The largest class (212 [73.4%]) had stable A-IADL-Q scores over 3 years. A second group (23 [8.0%]) showed a persistent functional decline, higher amyloid load (P = .0005), and lower education (P = .0392). DISCUSSION: The A-IADL-Q identified a subtle functional decline in asymptomatic at-risk AD individuals. This could have important implications in the field of early intervention in AD. Elsevier 2019-10-08 /pmc/articles/PMC6804616/ /pubmed/31650012 http://dx.doi.org/10.1016/j.trci.2019.08.009 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Featured Article
Villeneuve, Sarah-Christine
Houot, Marion
Cacciamani, Federica
Verrijp, Merike
Dubois, Bruno
Sikkes, Sietske
Epelbaum, Stéphane
Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title_full Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title_fullStr Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title_full_unstemmed Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title_short Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease
title_sort latent class analysis identifies functional decline with amsterdam iadl in preclinical alzheimer's disease
topic Featured Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804616/
https://www.ncbi.nlm.nih.gov/pubmed/31650012
http://dx.doi.org/10.1016/j.trci.2019.08.009
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