Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.

ABSTRACT:

Aims

Both amnestic mild cognitive impairment (aMCI) and remitted late-onset depression (rLOD) confer a high risk of developing Alzheimer's disease (AD). This study aims to determine whether the Characterizing AD Risk Events (CARE) index model can effectively predict conversion in individuals at high risk for AD development either in an independent aMCI population or in an rLOD population.

Methods

The CARE index model was constructed based on the event-based probabilistic framework fusion of AD biomarkers to differentiate individuals progressing to AD from cognitively stable individuals in the aMCI population (27 stable subjects, 6 progressive subjects) and rLOD population (29 stable subjects, 10 progressive subjects) during the follow-up period.

Results

AD diagnoses w

SUBMITTER: Lu X 

PROVIDER: S-EPMC7298996 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature