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Optimal age and outcome measures for Alzheimer's disease prevention trials in people with Down syndrome

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journal contribution
posted on 24.09.2021, 10:01 by R Hithersay, RA Baksh, CM Startin, P Wijeratne, S Hamburg, B Carter, The LonDownS Consortium, A Strydom, E Fisher, D Nizetic, J Hardy, V Tybulewicz, A Karmiloff-Smith
Introduction: People with Down syndrome (DS) typically develop Alzheimer's disease (AD) neuropathology before age 40, but a lack of outcome measures and longitudinal data have impeded their inclusion in randomized controlled trials (RCTs). Methods: Cohort study. Event-based and dose-response Emax models were fitted to longitudinal cognitive data, to stage AD and determine the earliest ages of decline. Results informed sample size estimations for hypothetical RCTs of disease-modifying treatments that reduced decline by 35% or 75%. Results: Seventy-five percent of participants progressed or remained stable in the AD staging model; effect sizes varied by age group and tests. Varied treatment effects could be detected with 50-200 people per arm when using sensitive cognitive outcome measures and targeting recruitment to ages 36 to 45 years. Discussion: Efficient RCTs of AD preventative treatments can be conducted in the DS population using sensitive outcome measures to monitor early decline. Dose-response models could help tailor future RCTs.

Funding

Crick (Grant ID: 10194, Grant title: Tybulewicz FC001194)

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