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10.1186/s13195-025-01925-1

http://scihub22266oqcxt.onion/10.1186/s13195-025-01925-1
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suck abstract from ncbi

pmid41339948      Alzheimers+Res+Ther 2025 ; ? (?): ?
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  • Individualized prediction of clinical progression to dementia using plasma biomarkers in non-demented elderly #MMPMID41339948
  • Honey MIJ; van Maurik IS; van Harten AC; Gouda M; van Leeuwenstijn M; Mank A; Trieu C; Bouteloup V; Chene G; Pellegrin I; Dufouil C; Doecke JD; Fowler CJ; Masters CL; Pijnenburg Y; Wilson D; van der Flier WM; Teunissen CE; Verberk IMW
  • Alzheimers Res Ther 2025[Dec]; ? (?): ? PMID41339948show ga
  • BACKGROUND: We aimed to develop individualized predictions for risk of developing any-cause dementia and Alzheimer's disease (AD) dementia, in individuals with subjective cognitive decline (SCD) or mild cognitive impairment (MCI), using plasma phosphorylated-tau-181 (pTau181), phosphorylated-tau-217 (pTau217; in a subset), amyloid beta1-42/1-40 (Abeta42/40), glial fibrillary acidic protein (GFAP) and/or neurofilament light (NfL). METHODS: From the Amsterdam Dementia Cohort we included 314 individuals with SCD (age 61 +/- 9 years, n = 184 (59%) male, MMSE 29 +/- 1) and 253 individuals with MCI (age 65 +/- 7 years, n = 165 (65%) male, MMSE 27 +/- 2), who had annual follow-up (median duration 2.4 years). Cox proportional hazards regression models were used to calculate probabilities for progression to dementia and were externally validated in MEMENTO and AIBL cohorts. RESULTS: During follow-up 20 SCD and 99 MCI patients developed dementia. For MCI patients who progressed to any form of dementia, plasma GFAP contributed on top of age, sex, and MMSE score in the parsimonious individualized prognostic model (C-index = 0.69 [95%CI = 0.63; 0.76]). With AD-dementia as the outcome, GFAP and pTau181 were selected in the parsimonious model on top of the demographic variables (C-index = 0.71 [95%CI = 0.65; 0.76]). In the subset of 197 MCI individuals with pTau217 measurements, pTau217 was selected in the parsimonious model on top of the demographic variables (C-index = 0.75 [95%CI = 0.69; 0.79]). External validation demonstrated that the models are robust in a memory clinic setting. CONCLUSIONS: Our prediction models have utility for clinical practice to calculate progression probabilities for development of dementia in individual patients living with MCI over a 1-, 3- and 5-year time period.
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