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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6804616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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