Individualized, cross‐validated prediction of future dementia using cognitive assessments in people with mild cognitive symptoms
To our knowledge, this is the first algorithm for predicting all-cause dementia using a novel two-step model utilizing brief cognitive tests. Applying a validated model including the Trail Making Test B, Animal Fluency, MMSE, Alzheimer's Disease Assessment Scale delayed, and immediate recall can robustly and accurately categorize individuals into low, intermediate, or high risk of dementia progression and can facilitate clinical decision-making and personalized patient care. We created an app that is available for research and educational purposes at https://brainapps.shinyapps.io/PredictAllCauseDementia to provide an individualized risk score for dementia progression.
Authors
- Emma Borland (ORCID: https://orcid.org/0000-0002-3822-9420)
- Sebastian Palmqvist (ORCID: https://orcid.org/0000-0002-9267-1930)
- Erik Stomrud (ORCID: https://orcid.org/0000-0002-0841-5580)
- Pontus Tideman (ORCID: https://orcid.org/0000-0002-9620-7115)
- Oskar Hansson (ORCID: https://orcid.org/0000-0001-8467-7286)
- Niklas Mattson‐Carlgren
Institutions
- Lund University (SE)
- Skåne University Hospital (SE)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1002/alz.14305
- Citations
- 3
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Alzheimer's Association
- Cure Alzheimer's Fund
- Australian Government
- Lunds Universitet
- Hjärnfonden
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse
- Skånes universitetssjukhus
- Parkinsonfonden
- National Institute on Aging