Pattern Recognition to Objectively Differentiate the Etiology of Cognitive Decline: Analysis of the Impact of Stroke and Alzheimer's Disease.
Adaptive diagnostics
Cerebrovascular disease
Neuroepidemiology
Pattern recognition
Journal
Neuroepidemiology
ISSN: 1423-0208
Titre abrégé: Neuroepidemiology
Pays: Switzerland
ID NLM: 8218700
Informations de publication
Date de publication:
2020
2020
Historique:
received:
01
05
2020
accepted:
13
07
2020
pubmed:
6
10
2020
medline:
25
9
2021
entrez:
5
10
2020
Statut:
ppublish
Résumé
Undetected Alzheimer's disease (AD) and stroke neuropathology is believed to account for a large proportion of decline in cognitive performance that is attributed to normal aging. This study examined the amount of variance in age-related cognitive change that is accounted for by AD and stroke using a novel pattern recognition protocol. Secondary analyses of data collected for the Health and Retirement Study (N = 17,579) were used to objectively characterize patterns of cognitive decline associated with AD and stroke. The rate of decline in episodic memory and orientation was the outcome of interest, while algorithms indicative of AD and stroke pathology were the predictors of interest. The average age of the sample was 67.54 ± 10.45 years at baseline, and they completed, on average, 14.20 ± 3.56 years of follow-up. After adjusting for demographics, AD and stroke accounted for approximately half of age-associated decline in cognition (51.07-55.6% for orientation and episodic memory, respectively) and explained variance attributed to random slopes in longitudinal multilevel models. The results of this study suggested that approximately half of the cognitive decline usually attributed to normal aging are more characteristic of AD and stroke.
Sections du résumé
BACKGROUND
Undetected Alzheimer's disease (AD) and stroke neuropathology is believed to account for a large proportion of decline in cognitive performance that is attributed to normal aging. This study examined the amount of variance in age-related cognitive change that is accounted for by AD and stroke using a novel pattern recognition protocol.
METHOD
Secondary analyses of data collected for the Health and Retirement Study (N = 17,579) were used to objectively characterize patterns of cognitive decline associated with AD and stroke. The rate of decline in episodic memory and orientation was the outcome of interest, while algorithms indicative of AD and stroke pathology were the predictors of interest.
RESULTS
The average age of the sample was 67.54 ± 10.45 years at baseline, and they completed, on average, 14.20 ± 3.56 years of follow-up. After adjusting for demographics, AD and stroke accounted for approximately half of age-associated decline in cognition (51.07-55.6% for orientation and episodic memory, respectively) and explained variance attributed to random slopes in longitudinal multilevel models.
DISCUSSION
The results of this study suggested that approximately half of the cognitive decline usually attributed to normal aging are more characteristic of AD and stroke.
Identifiants
pubmed: 33017832
pii: 000510133
doi: 10.1159/000510133
pmc: PMC7726036
mid: NIHMS1615647
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
446-453Subventions
Organisme : NIA NIH HHS
ID : P01 AG043362
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG058595
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Informations de copyright
© 2020 The Author(s) Published by S. Karger AG, Basel.
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