Individualized, cross-validated prediction of future dementia using cognitive assessments in people with mild cognitive symptoms.

ABSTRACT:

Introduction

We aimed to develop an algorithm to predict the individualized risk of future dementia using brief cognitive tests suitable for primary care.

Methods

We included 612 participants with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study, assessed for at least 4 years or until progression to dementia. A logistic regression model, using cognitive tests as predictors and dementia progression as an outcome, stratified participants into low, intermediate, or high risk. A second model, including 1-year cognitive test changes, was applied to the intermediate group. The models were replicated in 392 SCD/MCI participants from the BioFINDER-1 study.

Results

The best two-step model fo

SUBMITTER: Borland E 

PROVIDER: S-EPMC11667515 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature