Clinical Manifestations.

Area of Science:

• Neurology
• Gerontology
• Primary Care Medicine

Background:

• Screening for cognitive decline and dementia in primary care is time-consuming.
• Existing tools like the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) lack ecological validity due to time constraints.
• There is a need for rapid, sensitive, and specific screening tools for dementia in primary care settings.

Purpose of the Study:

• To identify optimal combinations of existing cognitive assessment tools for efficient dementia screening in primary care.
• To develop a practical and accurate screening method suitable for the fast-paced primary care environment.
• To reduce the burden on primary care physicians while maintaining high diagnostic accuracy for cognitive impairment.

Main Methods:

• Participants from the UK Alzheimer's Disease Research Centre (ADRC) underwent comprehensive neuropsychological testing.
• Logistic regression and receiver operating characteristic (ROC) curves were employed to model dementia probability based on test scores.
• Youden's J statistic and Boolean logic were used to determine optimal cut-points and test combinations for maximizing sensitivity and specificity.

Main Results:

• A full neuropsychological battery yielded an Area Under the Curve (AUC) of 0.90.
• A 3-minute screening using MoCA 5-word delayed recall and Animal Naming achieved an AUC of 0.87.
• Specific cut-points and Boolean logic combinations demonstrated high specificity (98.41%) or sensitivity (94.59%) with excellent predictive values.

Conclusions:

• Effective dementia screening in primary care can be achieved practically and accurately in a fraction of the time of a full evaluation.
• The combination of MoCA 5-word delayed recall and Animal Naming offers a time-efficient and highly accurate screening tool.
• Further validation studies in primary care settings are ongoing to confirm the utility of this rapid screening approach.