Digital Cognitive Assessment for Alzheimer's Testing
Author Information
Author(s): Jannati Ali, Thompson Karl, Toro-Serey Claudio, Banks Russell, Showalter John, Bates David, Tobyne Sean, Pascual-Leone Alvaro
Primary Institution: Linus Health, Boston, Massachusetts, United States
Hypothesis
A brief digital cognitive assessment (DCA) could concurrently identify cognitive impairment and predict PET Aβ status.
Conclusion
The Digital Clock and Recall assessment accurately classified cognitive impairment and predicted Aβ status, improving early identification of Alzheimer's disease.
Supporting Evidence
- DCR accurately classified cognitive impairment with an AUC of 0.85.
- DCR predicted Aβ status with an AUC of 0.83.
- Combining DCR with blood-based biomarkers improved Aβ-status prediction performance.
Takeaway
This study shows that a simple digital test can help doctors find out if someone has memory problems and if they might have Alzheimer's disease, making it easier to get them help sooner.
Methodology
Participants were classified based on cognitive status and assessed using the Digital Clock and Recall test, with comparisons made to blood-based biomarkers.
Participant Demographics
Participants had an average age of 72, with 56.8% female and 23% minorities.
Digital Object Identifier (DOI)
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