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Combining p-tau217 and digital cognitive testing to predict cognitive decline.
Hairin Kim1, Daniel Soberanes1, Roos J Jutten2
1Department of Neurology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, USA.
Summary
Digital cognitive tests measuring multi-day learning curve (MDLC) combined with plasma phosphorylated tau (p-tau217) improve prediction of cognitive decline in older adults. This combined approach offers precise risk stratification for early intervention.
Area of Science:
- Neuroscience
- Cognitive Science
- Biomarkers
Background:
- Cognitive decline in aging is a growing concern.
- Plasma phosphorylated tau at threonine 217 (p-tau217) is a promising biomarker for neurodegeneration.
- Remote digital cognitive assessments can capture learning patterns over time.
Purpose of the Study:
- To determine if multi-day learning curve (MDLC) from digital cognitive tests adds prognostic value to p-tau217 for predicting cognitive decline.
- To assess the combined predictive power of MDLC and p-tau217 in cognitively unimpaired older adults.
Main Methods:
- 183 cognitively unimpaired older adults completed digital cognitive tests and provided plasma p-tau217.
- Linear mixed-effects models analyzed the effects of baseline p-tau217 and MDLC on cognitive decline over 2.5 years.
Main Results:
- MDLC significantly improved the prediction of cognitive decline beyond p-tau217 alone.
- Higher p-tau217 and lower MDLC were independently associated with faster decline.
- Individuals with elevated p-tau217 but preserved MDLC showed stable cognition.
Conclusions:
- Combining MDLC and p-tau217 enables precise risk stratification for cognitive decline.
- This integrated approach identifies individuals at high risk for imminent decline.
- It may enhance screening for early preventive interventions in aging populations.
Keywords:
cognitive declinedigital cognitive assessmentplasma p‐tau217preclinical Alzheimer's diseaseremote assessment
