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AAIC 2023 | Amyloid prediction models for use in the general population

Julia Neitzel, PhD, Erasmus University Medical Center, Rotterdam, Netherlands, discusses her recent research to develop amyloid prediction models for use in the general population. Other studies have developed prediction models for amyloid pathology however, these typically utilize clinical cohorts rather than population-based studies which are more applicable to the general population. Therefore, the group wanted to validate an amyloid model in a prospective population-based study to determine if large clinical cohort-based models could be taken into a primary care setting. They demonstrated that Aβ prediction models including inexpensive and non-invasive measures were successfully applied to a general population-derived sample. The top performing model incorporated age, apolipoprotein E (APOE) ε4 genotype, family history of dementia, and sex. Within the top ten predictors of amyloid pathology was sleep behavior, which subsequently lead to the group to undertake a study investigating the influence of sleep and activity rhythms on amyloid pathology. This interview took place at the Alzheimer’s Association International Conference® (AAIC) 2023 in Amsterdam, Netherlands.

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