Development of a midlife-specific CogDrisk algorithm (CogDrisk-ML) to enable validated implementation of dementia risk assessment from midlife to late life.

ABSTRACT:

Background

Existing dementia risk assessment tools, such as The Australian National University Alzheimer's Disease Risk Index (ANU-ADRI), LIfestyle for BRAin health (LIBRA) and Cognitive health and Dementia Risk Assessment (CogDrisk), show limited validation for middle-aged adults (age 40-64 years). The Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) tool, developed almost two decades ago, demonstrated moderate predictive accuracy. As key modifiable dementia risk factors emerge in midlife, there is a need for a new, more accurate midlife dementia risk assessment tool.

Objectives

To develop CogDrisk-ML, a midlife dementia risk assessment tool that can complement the existing CogDrisk tool for late-life dementia risk assessment.

Design and settings

SUBMITTER: Huque MH 

PROVIDER: S-EPMC12277239 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature