Defining the Lowest Threshold for Amyloid-PET to Predict Future Cognitive Decline and Amyloid Accumulation

INTRODUCTIONAs clinical trials move towards earlier intervention, we sought to redefine the Aβ-PET threshold based on the lowest point in a baseline distribution that robustly predicts future Aβ accumulation and cognitive decline in 3 independent samples of clinically normal individuals. METHODSSequ...

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Veröffentlicht in:Neurology 2021-01, Vol.96 (4), p.e619-e631
Hauptverfasser: Farrell, Michelle E., Jiang, Shu, Schultz, Aaron P., Properzi, Michael J., Price, Julie C., Becker, J. Alex, Jacobs, Heidi I.L., Hanseeuw, Bernard J., Rentz, Dorene M., Villemagne, Victor L., Papp, Kathryn V., Mormino, Elizabeth C., Betensky, Rebecca A., Johnson, Keith A., Sperling, Reisa A., Buckley, Rachel F.
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Sprache:eng
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Zusammenfassung:INTRODUCTIONAs clinical trials move towards earlier intervention, we sought to redefine the Aβ-PET threshold based on the lowest point in a baseline distribution that robustly predicts future Aβ accumulation and cognitive decline in 3 independent samples of clinically normal individuals. METHODSSequential Aβ cut-offs were tested to identify the lowest cutoff associated with future change in cognition (PACC) and Aβ-PET in clinically-normal participants from the Harvard Aging Brain Study (n = 342), Australian Imaging, Biomarker and Lifestyle study of ageing (n = 157) and Alzheimerʼs Disease Neuroimaging Initiative (n = 356). RESULTSWithin sample, cutoffs derived from future Aβ-PET accumulation and PACC decline converged on the same inflection point beyond which trajectories diverged from normal. Across samples, optimal cutoffs fell within a short range (Centiloid 15–18.5). DISCUSSIONThese optimized thresholds can help to inform future research and clinical trials targeting early Aβ. Threshold convergence raises the possibility of contemporaneous early changes in Aβ and cognition. CLASSIFICATION OF EVIDENCEThis study provides Class II evidence that among clinically normal individuals a specific Aβ-PET threshold is predictive of cognitive decline.
ISSN:0028-3878
1526-632X
DOI:10.1212/WNL.0000000000011214