Development and assessment of algorithms for predicting brain amyloid positivity in a population without dementia
A predictive model integrating demographic, cognitive, and blood biomarker data offers a promising method to help identify amyloid status in non-demented patients. ApoE genotype and brain MRI data were not necessary for strong discriminatory ability, suggesting that ApoE genotyping may be deferred when assessing the risk-benefit ratio of immunotherapies in amyloid-positive patients who desire treatment. The integration of this model into clinical practice could reduce the need for lumbar puncture or PET examinations to confirm amyloid status.
Authors
- Lisa Le Scouarnec (ORCID: https://orcid.org/0009-0008-2173-8692)
- Wiesje M. van der Flier (ORCID: https://orcid.org/0000-0001-8766-6224)
- Carole Dufouil (ORCID: https://orcid.org/0000-0003-2442-4476)
- Inge M.W. Verberk (ORCID: https://orcid.org/0000-0003-0341-7445)
- Charlotte Elisabeth Teunissen (ORCID: https://orcid.org/0000-0002-4061-0837)
- Vincent Planche (ORCID: https://orcid.org/0000-0003-3713-227X)
- Geneviève Chêne (ORCID: https://orcid.org/0000-0002-8368-6460)
- Vincent Bouteloup (ORCID: https://orcid.org/0009-0008-9956-862X)
- Pieter J. van der Veere (ORCID: https://orcid.org/0000-0002-1671-6850)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université de Bordeaux (FR)
- Inserm (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Institut des Maladies Neurodégénératives (FR)
- Bordeaux Population Health (FR)
- Amsterdam Neuroscience (NL)
- Amsterdam University Medical Centers (NL)
- Vrije Universiteit Amsterdam (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- Alzheimer s Research & Therapy
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1186/s13195-024-01595-5
- Citations
- 3
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.98