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Trares, K.* ; Wiesenfarth, M.* ; Stocker, H.* ; Perna, L.* ; Petrera, A. ; Hauck, S.M. ; Beyreuther, K.* ; Brenner, H.* ; Schöttker, B.*

Addition of inflammation-related biomarkers to the CAIDE model for risk prediction of all-cause dementia, Alzheimer's disease and vascular dementia in a prospective study.

Immun. Ageing 21:23 (2024)
Verlagsversion DOI PMC
Creative Commons Lizenzvertrag
BACKGROUND: It is of interest whether inflammatory biomarkers can improve dementia prediction models, such as the widely used Cardiovascular Risk Factors, Aging and Dementia (CAIDE) model. METHODS: The Olink Target 96 Inflammation panel was assessed in a nested case-cohort design within a large, population-based German cohort study (n = 9940; age-range: 50-75 years). All study participants who developed dementia over 20 years of follow-up and had complete CAIDE variable data (n = 562, including 173 Alzheimer's disease (AD) and 199 vascular dementia (VD) cases) as well as n = 1,356 controls were selected for measurements. 69 inflammation-related biomarkers were eligible for use. LASSO logistic regression and bootstrapping were utilized to select relevant biomarkers and determine areas under the curve (AUCs). RESULTS: The CAIDE model 2 (including Apolipoprotein E (APOE) ε4 carrier status) predicted all-cause dementia, AD, and VD better than CAIDE model 1 (without APOE ε4) with AUCs of 0.725, 0.752 and 0.707, respectively. Although 20, 7, and 4 inflammation-related biomarkers were selected by LASSO regression to improve CAIDE model 2, the AUCs did not increase markedly. CAIDE models 1 and 2 generally performed better in mid-life (50-64 years) than in late-life (65-75 years) sub-samples of our cohort, but again, inflammation-related biomarkers did not improve their predictive abilities. CONCLUSIONS: Despite a lack of improvement in dementia risk prediction, the selected inflammation-related biomarkers were significantly associated with dementia outcomes and may serve as a starting point to further elucidate the pathogenesis of dementia.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Alzheimer’s Disease ; Cohort Study ; Dementia ; Inflammation ; Risk Prediction ; Vascular Dementia; Cognitive Impairment; Score; Population
ISSN (print) / ISBN 1742-4933
e-ISSN 1742-4933
Zeitschrift Immunity and Ageing
Quellenangaben Band: 21, Heft: 1, Seiten: , Artikelnummer: 23 Supplement: ,
Verlag BMC
Verlagsort Campus, 4 Crinan St, London N1 9xw, England
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) CF Metabolomics & Proteomics (CF-MPC)
Förderungen Deutsches Krebsforschungszentrum (DKFZ) (1052)