Prediction of dementia using CT imaging in stroke (PRODUCTS)
Increased brain-frailty, and its individual components (WMLs, MTA, and GA) are associated with a higher risk of dementia in participants with stroke. Combining clinical and brain-frailty parameters created a moderate dementia prediction model but added little value over clinical parameters in combination with cognitive testing. CT-based brain-frailty may provide better prognostic insights when cognitive testing isn't feasible and for identifying highest-risk individuals for dementia prevention trials to increase trial efficiency.
Authors
- Bogna Drozdowska (ORCID: https://orcid.org/0000-0001-5705-7815)
- Melanie Hafdi (ORCID: https://orcid.org/0000-0003-0972-8615)
- Emma Elliott (ORCID: https://orcid.org/0000-0002-4323-9308)
- Edo Richard (ORCID: https://orcid.org/0000-0002-7250-3390)
- Terence J. Quinn (ORCID: https://orcid.org/0000-0003-1401-0181)
- Martin Taylor‐Rowan (ORCID: https://orcid.org/0000-0002-3027-5369)
- L McGuire (ORCID: https://orcid.org/0000-0002-7625-4504)
Institutions
- Radboud University Nijmegen (NL)
- University of Calgary (CA)
- Radboud University Medical Center (NL)
- University of Manchester (GB)
- National Institute for Health and Care Excellence (GB)
- National Institute for Health and Care Research (GB)
- Amsterdam Neuroscience (NL)
- Public Health Service of Amsterdam (NL)
- Amsterdam University Medical Centers (NL)
- NIHR Manchester Biomedical Research Centre (GB)
- Amsterdam University of Applied Sciences (NL)
- University of Glasgow (GB)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Stroke Journal
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1177/23969873251325076
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Oxford
- University of Glasgow
- Alzheimer Nederland