Plasma Neurodegeneration and AD Biomarkers Identify Populations With Rapid Cognitive Decline
Josef Coresh, James Pike, Nicholas Reed, Priya Palta, Jennifer Deal, Kevin Sullivan, Bharat Thyagarajan, Frank Lin

TL;DR
This study shows that plasma biomarkers can identify people at high risk of rapid cognitive decline, which could improve clinical trial design for Alzheimer's and related diseases.
Contribution
A novel risk score using plasma biomarkers was developed and validated to identify individuals with rapid cognitive decline.
Findings
The upper quintile of the risk score showed significantly faster cognitive decline in both ARIC and ACHIEVE cohorts.
Adding age and Mini Mental State Exam did not improve the predictive power of the biomarker-based risk score.
Using the top risk quintile could increase clinical trial power from 5% to 96% with 800 participants.
Abstract
Predicting rapid cognitive decline is valuable for patient counseling and targeting clinical trials to slow down this rate of decline. We used neurodegeneration and AD biomarkers measured in the ARIC cohort (amyloid-β 42 to amyloid-β 40 ratio, p-tau 181, NFL, and GFAP on frozen plasma collected in 2011-13 using the Quanterix SiMoA platform, N = 1825) to develop a risk score for the rate of decline in global cognition factor score and validated its performance among participants of the ACHIEVE clinical trial (same 4 biomarkers assayed using the Alamar CNS protein panel, N = 502 at the 3-year follow-up). Biomarkers were standardized within platforms using inverse-normal transformation. Cognitive decline risk scores developed in ARIC were applied to ACHIEVE for validation. Biomarker risk scores developed in ARIC validated in ACHIEVE with the upper quintile having a mean (95% CI)…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Alzheimer's disease research and treatments · Cancer-related cognitive impairment studies
