# Revising the ABIDE MCI to dementia prediction model for automated cerebrospinal fluid assays

**Authors:** Pieter J. van der Veere, Argonde C. van Harten, Ingrid S. van Maurik, Charlotte E. Teunissen, Frederik Barkhof, Stephanie J. B. Vos, Lutz Froelich, Johannes Kornhuber, Jens Wiltfang, Wolfgang Maier, Oliver Peters, Eckart Rüther, Giovanni B. Frisoni, Luiza Spiru, Yvonne Freund‐Levi, Åsa K. Wallin, Harald Hampel, Magda Tsolaki, Iwona Kłoszewska, Patrizia Mecocci, Bruno Vellas, Simon Lovestone, Samantha Galluzzi, Sanna‐Kaisa Herukka, Isabel Santana, I. Baldeiras, Alexandre de Mendonca, Dina Silva, Gael Chetelat, Géraldine Poisnel, Pieter Jelle Visser, Sterling C. Johnson, Erik Stormrud, Oskar Hansson, Sebastian Palmqvist, Gerard Piñol‐Ripoll, Johannes Berkhof, Wiesje M. van der Flier

PMC · DOI: 10.1002/alz.71192 · Alzheimer's & Dementia · 2026-02-09

## TL;DR

Researchers updated a model to predict dementia progression from mild cognitive impairment using automated cerebrospinal fluid tests.

## Contribution

The ABIDE model was refitted and validated using automated CSF assays, showing good performance in predicting dementia progression.

## Key findings

- The updated model achieved good discrimination with a Harrell's C of 0.70.
- The model was well calibrated in both the total population and amyloid-positive subgroup.
- 1034 participants (42%) developed dementia during follow-up, with higher rates in amyloid-positive individuals.

## Abstract

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.

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.

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.

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.

We updated the ABIDE mild cognitive impairment (MCI) to dementia prediction model.The model has good discrimination with a Harrell's C of 0.70 (95% confidence interval [CI]: 0.66–0.73).The model is well calibrated in the total population and amyloid‐positive subgroup.

We updated the ABIDE mild cognitive impairment (MCI) to dementia prediction model.

The model has good discrimination with a Harrell's C of 0.70 (95% confidence interval [CI]: 0.66–0.73).

The model is well calibrated in the total population and amyloid‐positive subgroup.

## Linked entities

- **Diseases:** dementia (MONDO:0001627)

## Full-text entities

- **Diseases:** dementia (MESH:D003704), cognitive impairment (MESH:D003072), amyloid (MESH:C000718787), MCI (MESH:D060825)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC12884196/full.md

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Source: https://tomesphere.com/paper/PMC12884196