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Abstract #3319

MRI phenotypes of the brain are related to long-term dementia outcome in community-dwelling older adults

Jasmin A. Keller1, Sigurdur Sigurdsson 2, Bárbara Schmitz Abecassis 1, Ilse M.J. Kant 3,4, Mark A. van Buchem1, Lenore J. Launer5, Matthias J.P. van Osch1, Vilmundur Gudnason2,6, and Jeroen H.J.M. de Bresser1
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Icelandic Heart Association, Kopavogur, Iceland, 3Clinical Artificial Intelligence Implementation and Research Lab (CAIRELab) and Department of Information Technology & Digital Innovation, Leiden University Medical Center, Leiden, Netherlands, 4Department of Digital Health, University Medical Center Utrecht, Utrecht, Netherlands, 5Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, United States, 6Faculty of Medicine, University of Iceland, Reykjavik, Iceland

Synopsis

Keywords: Dementia, Aging, Cerebral small vessel diseaseIndividual brain MRI markers only show at best a modest association with long-term occurrence of dementia. Therefore, it is challenging to accurately identify individuals at increased risk for dementia. We implemented a combined hierarchical clustering analysis based on neurodegenerative and neurovascular brain MRI markers and identified 14 distinct subgroups of individuals with different brain MRI phenotypes. These subgroups had a different long-term risk for dementia; especially the multi-burden brain MRI phenotype showed an increased risk (HR: 13.8 (95%-CI:4.28-44.37)). These findings may in the future be useful to determine patient prognosis and may aid in patient selection for future treatment studies.

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