Publications by authors named "Lisa Le Scouarnec"
Article Synopsis
- The study focuses on identifying brain amyloid positivity in non-demented individuals, which is vital for early Alzheimer's disease diagnosis and treatment to start before symptoms appear.
- Researchers developed predictive models using data from 853 participants, analyzing various factors like demographics, cognitive tests, and biomarkers related to Alzheimer's.
- The best-performing model, which included blood biomarkers and ApoE status, achieved high accuracy rates (AUCs of 0.82 and 0.90) in predicting amyloid positivity, surpassing traditional models that relied only on demographic and cognitive data.
Background: Patients and caregivers express a desire for accurate prognostic information about time to institutionalization and mortality. Previous studies predicting institutionalization and mortality focused on the dementia stage. However, Alzheimer's disease (AD) is characterized by a long pre-dementia stage.
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