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A trichotomy method for defining homogeneous subgroups in a dementia population

INTRODUCTION: Diagnosis of dementia in the aging brain is confounded by the presence of multiple pathologies. Mixed dementia (MX), a combination of Alzheimer's disease (AD) proteins with vascular disease (VD), is frequently found at autopsy, and has been difficult to diagnose during life. This...

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Autores principales: Caprihan, Arvind, Hillmer, Laura, Erhardt, Erik Barry, Adair, John C., Knoefel, Janice E., Prestopnik, Jillian, Rosenberg, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578887/
https://www.ncbi.nlm.nih.gov/pubmed/37602520
http://dx.doi.org/10.1002/acn3.51869
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author Caprihan, Arvind
Hillmer, Laura
Erhardt, Erik Barry
Adair, John C.
Knoefel, Janice E.
Prestopnik, Jillian
Rosenberg, Gary A.
author_facet Caprihan, Arvind
Hillmer, Laura
Erhardt, Erik Barry
Adair, John C.
Knoefel, Janice E.
Prestopnik, Jillian
Rosenberg, Gary A.
author_sort Caprihan, Arvind
collection PubMed
description INTRODUCTION: Diagnosis of dementia in the aging brain is confounded by the presence of multiple pathologies. Mixed dementia (MX), a combination of Alzheimer's disease (AD) proteins with vascular disease (VD), is frequently found at autopsy, and has been difficult to diagnose during life. This report develops a method for separating the MX group and defining preclinical AD (presence of AD factors with normal cognition) and preclinical VD subgroups (presence of white matter damage with normal cognition). METHODS: Clustering was based on three diagnostic axes: (1) AD factor (ADF) derived from cerebrospinal fluid proteins (Aβ42 and pTau), (2) VD factor (VDF) calculated from mean free water and peak width of skeletonized mean diffusivity in the white matter, and (3) Cognition (Cog) based on memory and executive function. The trichotomy method was applied to an Alzheimer's Disease Neuroimaging Initiative cohort (N = 538). RESULTS: Eight biologically defined subgroups were identified which included the MX group with both high ADF and VDF (9.3%) and a preclinical VD group (3.9%), and a preclinical AD group (13.6%). Cog is significantly associated with both ADF and VDF, and the partial‐correlation remains significant even when the effect of the other variable is removed (r(Cog, ADF/VDF removed) = 0.46, p < 10(−28) and r(Cog, VDF/ADF removed) = 0.24, p < 10(−7)). DISCUSSION: The trichotomy method creates eight biologically characterized patient groups, which includes MX, preclinical AD, and preclinical VD subgroups. Further longitudinal studies are needed to determine the utility of the 3‐way clustering method with multimodal biological biomarkers.
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spelling pubmed-105788872023-10-17 A trichotomy method for defining homogeneous subgroups in a dementia population Caprihan, Arvind Hillmer, Laura Erhardt, Erik Barry Adair, John C. Knoefel, Janice E. Prestopnik, Jillian Rosenberg, Gary A. Ann Clin Transl Neurol Research Articles INTRODUCTION: Diagnosis of dementia in the aging brain is confounded by the presence of multiple pathologies. Mixed dementia (MX), a combination of Alzheimer's disease (AD) proteins with vascular disease (VD), is frequently found at autopsy, and has been difficult to diagnose during life. This report develops a method for separating the MX group and defining preclinical AD (presence of AD factors with normal cognition) and preclinical VD subgroups (presence of white matter damage with normal cognition). METHODS: Clustering was based on three diagnostic axes: (1) AD factor (ADF) derived from cerebrospinal fluid proteins (Aβ42 and pTau), (2) VD factor (VDF) calculated from mean free water and peak width of skeletonized mean diffusivity in the white matter, and (3) Cognition (Cog) based on memory and executive function. The trichotomy method was applied to an Alzheimer's Disease Neuroimaging Initiative cohort (N = 538). RESULTS: Eight biologically defined subgroups were identified which included the MX group with both high ADF and VDF (9.3%) and a preclinical VD group (3.9%), and a preclinical AD group (13.6%). Cog is significantly associated with both ADF and VDF, and the partial‐correlation remains significant even when the effect of the other variable is removed (r(Cog, ADF/VDF removed) = 0.46, p < 10(−28) and r(Cog, VDF/ADF removed) = 0.24, p < 10(−7)). DISCUSSION: The trichotomy method creates eight biologically characterized patient groups, which includes MX, preclinical AD, and preclinical VD subgroups. Further longitudinal studies are needed to determine the utility of the 3‐way clustering method with multimodal biological biomarkers. John Wiley and Sons Inc. 2023-08-21 /pmc/articles/PMC10578887/ /pubmed/37602520 http://dx.doi.org/10.1002/acn3.51869 Text en © 2023 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Caprihan, Arvind
Hillmer, Laura
Erhardt, Erik Barry
Adair, John C.
Knoefel, Janice E.
Prestopnik, Jillian
Rosenberg, Gary A.
A trichotomy method for defining homogeneous subgroups in a dementia population
title A trichotomy method for defining homogeneous subgroups in a dementia population
title_full A trichotomy method for defining homogeneous subgroups in a dementia population
title_fullStr A trichotomy method for defining homogeneous subgroups in a dementia population
title_full_unstemmed A trichotomy method for defining homogeneous subgroups in a dementia population
title_short A trichotomy method for defining homogeneous subgroups in a dementia population
title_sort trichotomy method for defining homogeneous subgroups in a dementia population
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578887/
https://www.ncbi.nlm.nih.gov/pubmed/37602520
http://dx.doi.org/10.1002/acn3.51869
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