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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.
Introduction:
We investigated whether a multi-day learning curve (MDLC), derived from remote digital cognitive assessments over 1 week, adds prognostic value to plasma phosphorylated tau at threonine 217 (p-tau217) for predicting cognitive decline in cognitively unimpaired (CU) older adults.
Methods:
A total of 183 CU participants (mean age 73.3; 70% female) completed multi-day digital cognitive tests and provided plasma p-tau217. Linear mixed-effects models evaluated the independent and combined effects of baseline p-tau217 and MDLC on longitudinal cognitive decline over 2.5 years.
Results:
Adding MDLC to p-tau217 significantly explained longitudinal cognitive trajectory beyond p-tau217 alone. Although higher p-tau217 and lower MDLC were independently associated with steeper decline, individuals with both risk factors declined the fastest. Notably, those with elevated p-tau217 level but preserved MDLC remained stable, distinguishing them from those at imminent risk.
Discussion:
Combining digital learning metrics with plasma p-tau217 enables precise risk stratification. This approach identifies individuals most vulnerable to imminent decline, potentially enhancing screening for early preventive interventions.

