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Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife
Knowledge of a person’s risk for Alzheimer’s disease and related dementias (ADRDs) is required to triage candidates for preventive interventions, surveillance, and treatment trials. ADRD risk indexes exist for this purpose, but each includes only a subset of known risk factors. Information missing f...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535507/ https://www.ncbi.nlm.nih.gov/pubmed/36213312 http://dx.doi.org/10.1093/braincomms/fcac223 |
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author | Reuben, Aaron Moffitt, Terrie E Abraham, Wickliffe C Ambler, Antony Elliott, Maxwell L Hariri, Ahmad R Harrington, Honalee Hogan, Sean Houts, Renate M Ireland, David Knodt, Annchen R Leung, Joan Pearson, Amber Poulton, Richie Purdy, Suzanne C Ramrakha, Sandhya Rasmussen, Line J H Sugden, Karen Thorne, Peter R Williams, Benjamin Wilson, Graham Caspi, Avshalom |
author_facet | Reuben, Aaron Moffitt, Terrie E Abraham, Wickliffe C Ambler, Antony Elliott, Maxwell L Hariri, Ahmad R Harrington, Honalee Hogan, Sean Houts, Renate M Ireland, David Knodt, Annchen R Leung, Joan Pearson, Amber Poulton, Richie Purdy, Suzanne C Ramrakha, Sandhya Rasmussen, Line J H Sugden, Karen Thorne, Peter R Williams, Benjamin Wilson, Graham Caspi, Avshalom |
author_sort | Reuben, Aaron |
collection | PubMed |
description | Knowledge of a person’s risk for Alzheimer’s disease and related dementias (ADRDs) is required to triage candidates for preventive interventions, surveillance, and treatment trials. ADRD risk indexes exist for this purpose, but each includes only a subset of known risk factors. Information missing from published indexes could improve risk prediction. In the Dunedin Study of a population-representative New Zealand-based birth cohort followed to midlife (N = 938, 49.5% female), we compared associations of four leading risk indexes with midlife antecedents of ADRD against a novel benchmark index comprised of nearly all known ADRD risk factors, the Dunedin ADRD Risk Benchmark (DunedinARB). Existing indexes included the Cardiovascular Risk Factors, Aging, and Dementia index (CAIDE), LIfestyle for BRAin health index (LIBRA), Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI), and risks selected by the Lancet Commission on Dementia. The Dunedin benchmark was comprised of 48 separate indicators of risk organized into 10 conceptually distinct risk domains. Midlife antecedents of ADRD treated as outcome measures included age-45 measures of brain structural integrity [magnetic resonance imaging-assessed: (i) machine-learning-algorithm-estimated brain age, (ii) log-transformed volume of white matter hyperintensities, and (iii) mean grey matter volume of the hippocampus] and measures of brain functional integrity [(i) objective cognitive function assessed via the Wechsler Adult Intelligence Scale-IV, (ii) subjective problems in everyday cognitive function, and (iii) objective cognitive decline measured as residualized change in cognitive scores from childhood to midlife on matched Weschler Intelligence scales]. All indexes were quantitatively distributed and proved informative about midlife antecedents of ADRD, including algorithm-estimated brain age (β's from 0.16 to 0.22), white matter hyperintensities volume (β's from 0.16 to 0.19), hippocampal volume (β's from −0.08 to −0.11), tested cognitive deficits (β's from −0.36 to −0.49), everyday cognitive problems (β's from 0.14 to 0.38), and longitudinal cognitive decline (β's from −0.18 to −0.26). Existing indexes compared favourably to the comprehensive benchmark in their association with the brain structural integrity measures but were outperformed in their association with the functional integrity measures, particularly subjective cognitive problems and tested cognitive decline. Results indicated that existing indexes could be improved with targeted additions, particularly of measures assessing socioeconomic status, physical and sensory function, epigenetic aging, and subjective overall health. Existing premorbid ADRD risk indexes perform well in identifying linear gradients of risk among members of the general population at midlife, even when they include only a small subset of potential risk factors. They could be improved, however, with targeted additions to more holistically capture the different facets of risk for this multiply determined, age-related disease. |
format | Online Article Text |
id | pubmed-9535507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95355072022-10-07 Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife Reuben, Aaron Moffitt, Terrie E Abraham, Wickliffe C Ambler, Antony Elliott, Maxwell L Hariri, Ahmad R Harrington, Honalee Hogan, Sean Houts, Renate M Ireland, David Knodt, Annchen R Leung, Joan Pearson, Amber Poulton, Richie Purdy, Suzanne C Ramrakha, Sandhya Rasmussen, Line J H Sugden, Karen Thorne, Peter R Williams, Benjamin Wilson, Graham Caspi, Avshalom Brain Commun Original Article Knowledge of a person’s risk for Alzheimer’s disease and related dementias (ADRDs) is required to triage candidates for preventive interventions, surveillance, and treatment trials. ADRD risk indexes exist for this purpose, but each includes only a subset of known risk factors. Information missing from published indexes could improve risk prediction. In the Dunedin Study of a population-representative New Zealand-based birth cohort followed to midlife (N = 938, 49.5% female), we compared associations of four leading risk indexes with midlife antecedents of ADRD against a novel benchmark index comprised of nearly all known ADRD risk factors, the Dunedin ADRD Risk Benchmark (DunedinARB). Existing indexes included the Cardiovascular Risk Factors, Aging, and Dementia index (CAIDE), LIfestyle for BRAin health index (LIBRA), Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI), and risks selected by the Lancet Commission on Dementia. The Dunedin benchmark was comprised of 48 separate indicators of risk organized into 10 conceptually distinct risk domains. Midlife antecedents of ADRD treated as outcome measures included age-45 measures of brain structural integrity [magnetic resonance imaging-assessed: (i) machine-learning-algorithm-estimated brain age, (ii) log-transformed volume of white matter hyperintensities, and (iii) mean grey matter volume of the hippocampus] and measures of brain functional integrity [(i) objective cognitive function assessed via the Wechsler Adult Intelligence Scale-IV, (ii) subjective problems in everyday cognitive function, and (iii) objective cognitive decline measured as residualized change in cognitive scores from childhood to midlife on matched Weschler Intelligence scales]. All indexes were quantitatively distributed and proved informative about midlife antecedents of ADRD, including algorithm-estimated brain age (β's from 0.16 to 0.22), white matter hyperintensities volume (β's from 0.16 to 0.19), hippocampal volume (β's from −0.08 to −0.11), tested cognitive deficits (β's from −0.36 to −0.49), everyday cognitive problems (β's from 0.14 to 0.38), and longitudinal cognitive decline (β's from −0.18 to −0.26). Existing indexes compared favourably to the comprehensive benchmark in their association with the brain structural integrity measures but were outperformed in their association with the functional integrity measures, particularly subjective cognitive problems and tested cognitive decline. Results indicated that existing indexes could be improved with targeted additions, particularly of measures assessing socioeconomic status, physical and sensory function, epigenetic aging, and subjective overall health. Existing premorbid ADRD risk indexes perform well in identifying linear gradients of risk among members of the general population at midlife, even when they include only a small subset of potential risk factors. They could be improved, however, with targeted additions to more holistically capture the different facets of risk for this multiply determined, age-related disease. Oxford University Press 2022-10-06 /pmc/articles/PMC9535507/ /pubmed/36213312 http://dx.doi.org/10.1093/braincomms/fcac223 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Reuben, Aaron Moffitt, Terrie E Abraham, Wickliffe C Ambler, Antony Elliott, Maxwell L Hariri, Ahmad R Harrington, Honalee Hogan, Sean Houts, Renate M Ireland, David Knodt, Annchen R Leung, Joan Pearson, Amber Poulton, Richie Purdy, Suzanne C Ramrakha, Sandhya Rasmussen, Line J H Sugden, Karen Thorne, Peter R Williams, Benjamin Wilson, Graham Caspi, Avshalom Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title | Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title_full | Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title_fullStr | Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title_full_unstemmed | Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title_short | Improving risk indexes for Alzheimer’s disease and related dementias for use in midlife |
title_sort | improving risk indexes for alzheimer’s disease and related dementias for use in midlife |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535507/ https://www.ncbi.nlm.nih.gov/pubmed/36213312 http://dx.doi.org/10.1093/braincomms/fcac223 |
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