Assessment of dementia risk scores in predicting mild cognitive impairment: A comparison of CogDrisk, CAIDE, LIBRA, and ANU-ADRI.

ABSTRACT:

Background

Given the lack of widely accessible dementia treatments, identifying individuals at high risk of dementia is vital for prevention. No prior study has compared multiple validated dementia risk tools for predicting mild cognitive impairment (MCI) across multiple datasets. We assess the performance of the CogDrisk, ANU-ADRI, CAIDE, and LIBRA in predicting MCI.

Method

Data were obtained from the ARIC, Whitehall II, and PATH Through Life cohorts. Participants without dementia or MCI at baseline were included. Risk scores were computed using available risk factors and analysed using logistic regression, with Area Under the Curve (AUC) estimates. Multiple imputation was used to evaluate the impact of missing data.

Results

The ARIC (n = 5778), Whitehall II (n = 638

SUBMITTER: Huque MH 

PROVIDER: S-EPMC12501335 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature