Academic Journal
Adding cognition to AT(N) models improves prediction of cognitive and functional decline
| Title: | Adding cognition to AT(N) models improves prediction of cognitive and functional decline |
|---|---|
| Authors: | Deirdre M. O'Shea, Kelsey R. Thomas, Breton Asken, Athene K.W. Lee, Jennifer D. Davis, Paul F. Malloy, Stephen P. Salloway, Stephen Correia, for the Alzheimer's Disease Neuroimaging Initiative |
| Source: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 13, Iss 1, Pp n/a-n/a (2021) |
| Publisher Information: | Wiley, 2021. |
| Publication Year: | 2021 |
| Collection: | LCC:Neurology. Diseases of the nervous system LCC:Geriatrics |
| Subject Terms: | aging, Alzheimer's disease, AT(N), cognitive decline, dementia, functional decline, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6 |
| More Details: | Abstract Introduction This study sought to determine whether adding cognition to a model with Alzheimer's disease biomarkers based on the amyloid, tau, and neurodegeneration/neuronal injury—AT(N)—biomarker framework predicts rates of cognitive and functional decline in older adults without dementia. Methods The study included 465 participants who completed amyloid positron emission tomography, cerebrospinal fluid phosphorylated tau, structural magnetic resonance imaging, and serial neuropsychological testing. Using the AT(N) framework and a newly validated cognitive metric as the independent variables, we used linear mixed effects models to examine a 4‐year rate of change in cognitive and functional measures. Results The inclusion of baseline cognitive status improved model fit in predicting rate of decline in outcomes above and beyond biomarker variables. Specifically, those with worse cognitive functioning at baseline had faster rates of memory and functional decline over a 4‐year period, even when accounting for AT(N). Discussion Including a newly validated measure of baseline cognition may improve clinical prognosis in non‐demented older adults beyond the use of AT(N) biomarkers alone. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2352-8729 |
| Relation: | https://doaj.org/toc/2352-8729 |
| DOI: | 10.1002/dad2.12174 |
| Access URL: | https://doaj.org/article/3b479985924e49fd99c62d46f3acb6da |
| Accession Number: | edsdoj.3b479985924e49fd99c62d46f3acb6da |
| Database: | Directory of Open Access Journals |
| ISSN: | 23528729 |
|---|---|
| DOI: | 10.1002/dad2.12174 |
| Published in: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
| Language: | English |