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 could identify cognitive impairment and predict PET Aβ status efficiently.
Conclusion
The Digital Clock and Recall assessment is effective in identifying cognitive impairment and predicting amyloid positivity.
Supporting Evidence
- 35.1% of participants were Aβ+ on PET scan.
- DCR accurately classified cognitive impairment with an AUC of 0.85.
- 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.
Methodology
Participants were assessed using the Digital Clock and Recall test and classified based on cognitive status and PET scan results.
Participant Demographics
Participants had an average age of 72, with 56.8% female and 23% minorities.
Digital Object Identifier (DOI)
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