Revising the ABIDE MCI to dementia prediction model for automated cerebrospinal fluid assays
(2026) In Alzheimer's and Dementia 22(2).- Abstract
INTRODUCTION: Automated cerebrospinal fluid (CSF) biomarker assays have largely replaced manual immunoassays for measuring amyloid pathology in CSF. We refitted and validated the ABIDE model, predicting progression from mild cognitive impairment (MCI) to dementia, with CSF measurements from the automated Elecsys platform. METHODS: We included 2413 MCI participants (998 [41%] amyloid-positive) from seven observational cohorts. Elecsys was used in 958 (40%) participants. The parameters of the previous ABIDE Cox model were re-estimated. Model discrimination and calibration were evaluated with leave-one-cohort-out cross-validation. RESULTS: During follow-up, 1034 (42%; 585 [58%] amyloid-positive) participants developed dementia.... (More)
INTRODUCTION: Automated cerebrospinal fluid (CSF) biomarker assays have largely replaced manual immunoassays for measuring amyloid pathology in CSF. We refitted and validated the ABIDE model, predicting progression from mild cognitive impairment (MCI) to dementia, with CSF measurements from the automated Elecsys platform. METHODS: We included 2413 MCI participants (998 [41%] amyloid-positive) from seven observational cohorts. Elecsys was used in 958 (40%) participants. The parameters of the previous ABIDE Cox model were re-estimated. Model discrimination and calibration were evaluated with leave-one-cohort-out cross-validation. RESULTS: During follow-up, 1034 (42%; 585 [58%] amyloid-positive) participants developed dementia. Discrimination was good with Harrell's C of 0.70 (95% confidence interval [CI]: 0.66–0.73). Calibration was good in the total population and amyloid-positive subgroup, with substantial predicted progression risks for all amyloid-positive participants. DISCUSSION: We refitted the ABIDE model, predicting MCI to dementia progression, with automated CSF measurements. The model was well calibrated in amyloid-positive patients and may support clinical discussions regarding ATTs.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2026-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Alzheimer's disease, automated cerebrospinal fluid assays, cerebrospinal fluid, dementia, mild cognitive dementia, prediction
- in
- Alzheimer's and Dementia
- volume
- 22
- issue
- 2
- article number
- e71192
- publisher
- Wiley
- external identifiers
-
- pmid:41657128
- scopus:105029605635
- ISSN
- 1552-5260
- DOI
- 10.1002/alz.71192
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2026 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
- id
- 96a259ef-ae9a-439d-9402-a02634b938f7
- date added to LUP
- 2026-02-26 11:41:09
- date last changed
- 2026-02-27 10:26:04
@article{96a259ef-ae9a-439d-9402-a02634b938f7,
abstract = {{<p>INTRODUCTION: Automated cerebrospinal fluid (CSF) biomarker assays have largely replaced manual immunoassays for measuring amyloid pathology in CSF. We refitted and validated the ABIDE model, predicting progression from mild cognitive impairment (MCI) to dementia, with CSF measurements from the automated Elecsys platform. METHODS: We included 2413 MCI participants (998 [41%] amyloid-positive) from seven observational cohorts. Elecsys was used in 958 (40%) participants. The parameters of the previous ABIDE Cox model were re-estimated. Model discrimination and calibration were evaluated with leave-one-cohort-out cross-validation. RESULTS: During follow-up, 1034 (42%; 585 [58%] amyloid-positive) participants developed dementia. Discrimination was good with Harrell's C of 0.70 (95% confidence interval [CI]: 0.66–0.73). Calibration was good in the total population and amyloid-positive subgroup, with substantial predicted progression risks for all amyloid-positive participants. DISCUSSION: We refitted the ABIDE model, predicting MCI to dementia progression, with automated CSF measurements. The model was well calibrated in amyloid-positive patients and may support clinical discussions regarding ATTs.</p>}},
author = {{van der Veere, Pieter J. and van Harten, Argonde C. and van Maurik, Ingrid S. and Teunissen, Charlotte E. and Barkhof, Frederik and Vos, Stephanie J.B. and Froelich, Lutz and Kornhuber, Johannes and Wiltfang, Jens and Maier, Wolfgang and Peters, Oliver and Rüther, Eckart and Frisoni, Giovanni B. and Spiru, Luiza and Freund-Levi, Yvonne and Wallin, Åsa K. and Hampel, Harald and Tsolaki, Magda and Kłoszewska, Iwona and Mecocci, Patrizia and Vellas, Bruno and Lovestone, Simon and Galluzzi, Samantha and Herukka, Sanna Kaisa and Santana, Isabel and Baldeiras, I. and de Mendonca, Alexandre and Silva, Dina and Chetelat, Gael and Poisnel, Géraldine and Visser, Pieter Jelle and Johnson, Sterling C. and Stormrud, Erik and Hansson, Oskar and Palmqvist, Sebastian and Piñol-Ripoll, Gerard and Berkhof, Johannes and van der Flier, Wiesje M.}},
issn = {{1552-5260}},
keywords = {{Alzheimer's disease; automated cerebrospinal fluid assays; cerebrospinal fluid; dementia; mild cognitive dementia; prediction}},
language = {{eng}},
number = {{2}},
publisher = {{Wiley}},
series = {{Alzheimer's and Dementia}},
title = {{Revising the ABIDE MCI to dementia prediction model for automated cerebrospinal fluid assays}},
url = {{http://dx.doi.org/10.1002/alz.71192}},
doi = {{10.1002/alz.71192}},
volume = {{22}},
year = {{2026}},
}
