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Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults

OBJECTIVE: Validation and widespread use of markers indicating decline in serial neuropsychological exams has remained elusive despite potential value in prognostic and treatment decision-making. This study aimed to operationalize neuropsychological decline, termed “neuropsychological (NP) decline,”...

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Autores principales: Ho, Jean K., Nation, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339652/
https://www.ncbi.nlm.nih.gov/pubmed/35923551
http://dx.doi.org/10.3389/fnagi.2022.838459
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author Ho, Jean K.
Nation, Daniel A.
author_facet Ho, Jean K.
Nation, Daniel A.
author_sort Ho, Jean K.
collection PubMed
description OBJECTIVE: Validation and widespread use of markers indicating decline in serial neuropsychological exams has remained elusive despite potential value in prognostic and treatment decision-making. This study aimed to operationalize neuropsychological decline, termed “neuropsychological (NP) decline,” in older adults followed over 12 months in order to aid in the stratification of dementia risk along the cognitively unimpaired-to-mild cognitive impairment (MCI) spectrum. METHODS: A prospective cohort study utilized 6,794 older adults from the National Alzheimer’s Coordinating Center (NACC) database with a baseline diagnosis of normal cognition, impaired without MCI or with MCI. Operationalization of NP decline over 12-month follow-up used regression-based norms developed in a robustly normal reference sample. The extent to which each participant’s 12-month follow-up score deviated from norm-referenced expectations was quantified and standardized to an NP decline z-score. Cox regression evaluated whether the NP decline metric predicted future dementia. RESULTS: Participant’s NP decline scores predicted future all-cause dementia in the total sample, χ(2) = 110.71, hazard ratio (HR) = 1.989, p < 0.001, and in the subset diagnosed with normal cognition, χ(2) = 40.84, HR = 2.006, p < 0.001, impaired without MCI diagnosis, χ(2) = 14.89, HR = 2.465, p < 0.001, and impaired with MCI diagnosis, χ(2) = 55.78, HR = 1.916, p < 0.001. CONCLUSION: Operationalizing NP decline over 12 months with a regression-based norming method allows for further stratification of dementia risk along the cognitively unimpaired-to-MCI spectrum. The use of NP decline as an adjunctive marker of risk beyond standard cognitive diagnostic practices may aid in prognosis and clinical decision-making.
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spelling pubmed-93396522022-08-02 Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults Ho, Jean K. Nation, Daniel A. Front Aging Neurosci Neuroscience OBJECTIVE: Validation and widespread use of markers indicating decline in serial neuropsychological exams has remained elusive despite potential value in prognostic and treatment decision-making. This study aimed to operationalize neuropsychological decline, termed “neuropsychological (NP) decline,” in older adults followed over 12 months in order to aid in the stratification of dementia risk along the cognitively unimpaired-to-mild cognitive impairment (MCI) spectrum. METHODS: A prospective cohort study utilized 6,794 older adults from the National Alzheimer’s Coordinating Center (NACC) database with a baseline diagnosis of normal cognition, impaired without MCI or with MCI. Operationalization of NP decline over 12-month follow-up used regression-based norms developed in a robustly normal reference sample. The extent to which each participant’s 12-month follow-up score deviated from norm-referenced expectations was quantified and standardized to an NP decline z-score. Cox regression evaluated whether the NP decline metric predicted future dementia. RESULTS: Participant’s NP decline scores predicted future all-cause dementia in the total sample, χ(2) = 110.71, hazard ratio (HR) = 1.989, p < 0.001, and in the subset diagnosed with normal cognition, χ(2) = 40.84, HR = 2.006, p < 0.001, impaired without MCI diagnosis, χ(2) = 14.89, HR = 2.465, p < 0.001, and impaired with MCI diagnosis, χ(2) = 55.78, HR = 1.916, p < 0.001. CONCLUSION: Operationalizing NP decline over 12 months with a regression-based norming method allows for further stratification of dementia risk along the cognitively unimpaired-to-MCI spectrum. The use of NP decline as an adjunctive marker of risk beyond standard cognitive diagnostic practices may aid in prognosis and clinical decision-making. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC9339652/ /pubmed/35923551 http://dx.doi.org/10.3389/fnagi.2022.838459 Text en Copyright © 2022 Ho and Nation. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ho, Jean K.
Nation, Daniel A.
Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title_full Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title_fullStr Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title_full_unstemmed Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title_short Neuropsychological Decline Stratifies Dementia Risk in Cognitively Unimpaired and Impaired Older Adults
title_sort neuropsychological decline stratifies dementia risk in cognitively unimpaired and impaired older adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339652/
https://www.ncbi.nlm.nih.gov/pubmed/35923551
http://dx.doi.org/10.3389/fnagi.2022.838459
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