Evidence map›Paper›PMID 39044502›Full record

ArticleThe journal of prevention of Alzheimer's disease2024

Predicting Cognitive Decline for Non-Demented Adults with High Burden of Tau Pathology, Independent of Amyloid Status.

H-S Wu, L Li, Q-Q Sun, C-C Tan, L Tan, W Xu

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

H-S WuDr. Wei Xu, MD, PhD, Department of Neurology, Qingdao Municipal Hospital, Qingdao, China, Donghai Middle Road, No.5, Qingdao, China. E-mail address: dr_xuwei@qdu.edu.cn or 1037219730@qq.com.
L Li
Q-Q Sun
C-C Tan
L Tan
W Xu

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundAbnormal tau proteins are independent contributors to cognitive impairment. Nevertheless, not all individuals exposed to high-level tau pathology will develop cognitive dysfunction. We aimed to construct a model to predict cognitive trajectory for this high-risk population.

methodLongitudinal data of 181 non-demented adults (mean age= 73.1; female= 45%), who were determined to have high cerebral burden of abnormal tau by cerebrospinal fluid (CSF) measurements of phosphorylated tau (ptau181) or total tau, were derived from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Cognitive decline was defined as Mini-Mental State Examination scores decline ≥ 3 over three years. A predictive nomogram was constructed using stepwise backward regression method. The discrimination, calibration, and clinical usefulness of the nomogram were evaluated. The model was validated in another 189 non-demented adults via a cross-sectional set (n=149, mean age = 73.9, female = 51%) and a longitudinal set (n= 40, mean age = 75, female = 48%). Finally, the relationships of the calculated risk scores with cognitive decline and risk of Alzheimer's disease were examined during an extended 8-year follow-up.

resultLower volume of hippocampus (odds ratio [OR] = 0.37, p< 0.001), lower levels of CSF sTREM2 (OR = 0.76, p = 0.003), higher scores of Alzheimer's Disease Assessment Scale-Cognitive (OR = 1.15, p = 0.001) and Functional Activities Questionnaire (OR = 1.16, p = 0.016), and number of APOE ε4 (OR = 1.88, p = 0.039) were associated with higher risk of cognitive decline independent of the amyloid status and were included in the final model. The nomogram had an area of under curve (AUC) value of 0.91 for training set, 0.93 for cross-sectional validation set, and 0.91 for longitudinal validation set. Over the 8-year follow-up, the high-risk group exhibited faster cognitive decline (p< 0.001) and a higher risk of developing Alzheimer's dementia (HR= 6.21, 95% CI= 3.61-10.66, p< 0.001 ).

conclusionAPOE ε4 status, brain reserve capability, neuroinflammatory marker, and neuropsychological scores can help predict cognitive decline in non-demented adults with high burden of tau pathology, independent of the presence of amyloid pathology.

Indexed as

Cognitive Dysfunctiontau ProteinsAgedAmyloid beta-PeptidesBiomarkersCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMental Status and Dementia TestsMiddle AgedNomogramsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseasecognitive declinenomogrampredictTau

Identifiers

PMID39044502
PMCPMC12275652

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.