Dementia Care Research and Psychosocial Factors

Area of Science:

• Neuroscience
• Gerontology
• Biomarker Discovery

Background:

• Dementia, particularly Alzheimer's disease, is a growing global health concern.
• Early detection and risk assessment are crucial for effective dementia management.
• The PREDICTOM study addresses this by creating a comprehensive dementia screening platform.

Purpose of the Study:

• To establish an innovative screening platform for dementia, focusing on Alzheimer's disease.
• To evaluate novel biomarkers for their predictive value in assessing dementia risk.
• To improve early detection and intervention strategies for dementia.

Main Methods:

• A three-tiered screening process (at-home, general practitioner, specialist).
• Two risk models: a machine learning model (UK Biobank) and a normative cognitive decline model (PROTECT study).
• Statistical consensus ranking (FAST algorithm) to combine model predictions for risk stratification.

Main Results:

• Designation of 'potential high-risk' (n=400) and 'potential low-risk' (n=215) groups for further assessment.
• Level 2/3 assessments include amyloid beta positivity and cognitive impairment evaluations.
• Risk stratification enriches the high-risk group for representative biomarker analyses.

Conclusions:

• The study's risk stratification effectively identifies individuals at higher risk for dementia.
• This approach facilitates representative analyses of novel biomarkers.
• Findings may lead to more effective dementia screening and early intervention strategies.