AI Article Synopsis
- The study emphasizes the urgent need for effective diagnostic methods for identifying candidates for disease-modifying therapies, using a mix of plasma biomarkers and digital cognitive assessments.
- Researchers tested a tablet-based cognitive assessment and plasma biomarkers on 309 older adults to predict amyloid positivity, disease severity, and functional decline.
- Results show that combining certain plasma markers with cognitive assessments offers a highly accurate way to predict dementia-related conditions, indicating potential for scalable diagnostic approaches in clinical settings.
Article Abstract
Introduction: With emergence of disease-modifying therapies, efficient diagnostic pathways are critically needed to identify treatment candidates, evaluate disease severity, and support prognosis. A combination of plasma biomarkers and brief digital cognitive assessments could provide a scalable alternative to current diagnostic work-up.
Methods: We examined the accuracy of plasma biomarkers and a 10-minute supervised tablet-based cognitive assessment (Tablet-based Cognitive Assessment Tool Brain Health Assessment [TabCAT-BHA]) in predicting amyloid β positive (Aβ+) status on positron emission tomography (PET), concurrent disease severity, and functional decline in 309 older adults with subjective cognitive impairment (n = 49), mild cognitive impairment (n = 159), and dementia (n = 101).
Results: Combination of plasma pTau181, Aβ42/40, neurofilament light (NfL), and TabCAT-BHA was optimal for predicting Aβ-PET positivity (AUC = 0.962). Whereas NfL and TabCAT-BHA optimally predicted concurrent disease severity, combining these with pTau181 and glial fibrillary acidic protein was most accurate in predicting functional decline.
Discussion: Combinations of plasma and digital cognitive markers show promise for scalable diagnosis and prognosis of ADRD.
Highlights: The need for cost-efficient diagnostic and prognostic markers of AD is urgent. Plasma and digital cognitive markers provide complementary diagnostic contributions. Combination of these markers holds promise for scalable diagnosis and prognosis. Future validation in community cohorts is needed to inform clinical implementation.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10942726 | PMC |
| http://dx.doi.org/10.1002/alz.13686 | DOI Listing |
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