TY - JOUR
T1 - ABIDEing with automated cerebrospinal fluid assays
T2 - update of an MCI to dementia prediction model
AU - van der Veere, Pieter J.
AU - van Harten, Argonde C.
AU - van Maurik, Ingrid S.
AU - Teunissen, Charlotte E.
AU - Barkhof, Frederik
AU - Vos, Stephanie J. B.
AU - Frölich, Lutz
AU - Kornhuber, Johannes
AU - Wiltfang, Jens
AU - Maier, Wolfgang
AU - Peters, O.
AU - Rüther, Eckart
AU - Frisoni, Giovanni B.
AU - Spiru, Luiza
AU - Freund-Levi, Yvonne
AU - Wallin, Åsa K.
AU - Hampel, Harald
AU - Tsolaki, Magda
AU - Kłoszewska, Iwona
AU - Mecocci, Patrizia
AU - Vellas, Bruno
AU - Lovestone, Simon
AU - Galluzzi, Samantha
AU - Herukka, Sanna-Kaisa
AU - Santana, Isabel
AU - Baldeiras, Inês
AU - Mendonca, Alexandre
AU - Silva, Dina
AU - Chételat, Gael
AU - Poisnel, G. raldine
AU - Visser, Pieter Jelle
AU - Johnson, Sterling C.
AU - Stomrud, Erik
AU - Hansson, Oskar
AU - Palmqvist, Sebastian
AU - Piñol-Ripoll, Gerard
AU - Berkhof, Johannes
AU - van der Flier, Wiesje M.
N1 - Publisher Copyright:
© 2025 The Alzheimer's Association. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - BACKGROUND: Automated cerebrospinal fluid (CSF) biomarker assays have largely replaced manual immunoassays for measuring amyloid pathology. Their relevance is increasing as amyloid-targeting therapies (ATTs) are becoming available for amyloid-positive mild cognitively impaired (MCI) individuals. Therefore, we refitted and validated the ABIDE model, predicting progression from MCI to dementia, with CSF measurements from the automated Elecsys platform. Additionally, we evaluated the performance in an amyloid-positive subpopulation, potentially eligible for ATTs. METHOD: We combined data from MCI participants of seven single-centre and multicentre observational cohorts: Amsterdam Dementia Cohort (n =648), Alzheimer's Disease Neuroimaging Initiative (n =544), BioFINDER (n =212), European Medical Information Framework for Alzheimer's Disease (n =809), Lleida (n =88), National Alzheimer's Coordinating Centre (n =63), and Wisconsin Alzheimer's Disease Cohort (n =9). Participants were included with MCI at baseline, a baseline Mini-Mental State Examination, either a magnetic resonance imaging hippocampal volume or CSF Aβ1-42 and pTau181 measurements, and at least six months of follow-up. Elecsys was used in 737 (31%) participants. A Cox model was used to predict time to dementia using the variables in the previous ABIDE model (Maurik et al. 2019). Model discrimination and calibration were evaluated with leave-one-cohort-out cross-validation. Calibration was assessed in the pooled cohort (PC) and amyloid-positive (APos) subgroup, stratified by predicted risk: PC/APos1 (P86). RESULT: Of 2372 MCI participants (Table 1; 70±8yrs, 57%F; 41% amyloid-positive) with a median follow-up of 2.1yrs, 997 (42%; 563 [58%] amyloid-positive) developed dementia (IQR:1.3-3.2yrs). The refitted coefficients resemble the prior model, except for a larger effect of the Aβ1-42*pTau interaction (Table 2). Discrimination was similar to the prior ABIDE model, with Harrell's C of 0.70 (95%CI:0.69-0.71), and calibration was good in the pooled cohort, amyloid-positive subgroup (Figure 1), and across CSF assays. In the amyloid-positive subgroup, all four risk groups had a substantial progression risk with a median predicted progression time of 6.3yrs (95%CI:6.1-6.6) in APos1, 3.7yrs (95%CI:3.5-4.0) in APos2, 3.0yrs (95%CI:2.8-3.0) in APos3, and 2.0yrs (95%CI:2.0-2.1) in APos4. CONCLUSION: We updated the ABIDE model for predicting MCI to dementia progression with automated CSF measurements. The model was well calibrated in amyloid-positive patients and may support clinical discussions regarding the initiation of ATTs.
AB - BACKGROUND: Automated cerebrospinal fluid (CSF) biomarker assays have largely replaced manual immunoassays for measuring amyloid pathology. Their relevance is increasing as amyloid-targeting therapies (ATTs) are becoming available for amyloid-positive mild cognitively impaired (MCI) individuals. Therefore, we refitted and validated the ABIDE model, predicting progression from MCI to dementia, with CSF measurements from the automated Elecsys platform. Additionally, we evaluated the performance in an amyloid-positive subpopulation, potentially eligible for ATTs. METHOD: We combined data from MCI participants of seven single-centre and multicentre observational cohorts: Amsterdam Dementia Cohort (n =648), Alzheimer's Disease Neuroimaging Initiative (n =544), BioFINDER (n =212), European Medical Information Framework for Alzheimer's Disease (n =809), Lleida (n =88), National Alzheimer's Coordinating Centre (n =63), and Wisconsin Alzheimer's Disease Cohort (n =9). Participants were included with MCI at baseline, a baseline Mini-Mental State Examination, either a magnetic resonance imaging hippocampal volume or CSF Aβ1-42 and pTau181 measurements, and at least six months of follow-up. Elecsys was used in 737 (31%) participants. A Cox model was used to predict time to dementia using the variables in the previous ABIDE model (Maurik et al. 2019). Model discrimination and calibration were evaluated with leave-one-cohort-out cross-validation. Calibration was assessed in the pooled cohort (PC) and amyloid-positive (APos) subgroup, stratified by predicted risk: PC/APos1 (P86). RESULT: Of 2372 MCI participants (Table 1; 70±8yrs, 57%F; 41% amyloid-positive) with a median follow-up of 2.1yrs, 997 (42%; 563 [58%] amyloid-positive) developed dementia (IQR:1.3-3.2yrs). The refitted coefficients resemble the prior model, except for a larger effect of the Aβ1-42*pTau interaction (Table 2). Discrimination was similar to the prior ABIDE model, with Harrell's C of 0.70 (95%CI:0.69-0.71), and calibration was good in the pooled cohort, amyloid-positive subgroup (Figure 1), and across CSF assays. In the amyloid-positive subgroup, all four risk groups had a substantial progression risk with a median predicted progression time of 6.3yrs (95%CI:6.1-6.6) in APos1, 3.7yrs (95%CI:3.5-4.0) in APos2, 3.0yrs (95%CI:2.8-3.0) in APos3, and 2.0yrs (95%CI:2.0-2.1) in APos4. CONCLUSION: We updated the ABIDE model for predicting MCI to dementia progression with automated CSF measurements. The model was well calibrated in amyloid-positive patients and may support clinical discussions regarding the initiation of ATTs.
UR - https://www.scopus.com/pages/publications/105025738415
U2 - 10.1002/alz70861_108352
DO - 10.1002/alz70861_108352
M3 - Article
C2 - 41433662
SN - 1552-5260
VL - 21
SP - e108352
JO - Alzheimer s & dementia
JF - Alzheimer s & dementia
ER -