The Computerized Cognitive Composite (C3) in A4, an Alzheimer’s Disease Secondary Prevention Trial - 21/11/24

Doi : 10.14283/jpad.2020.38 
Kathryn V. Papp 1, 2, 8, , D.M. Rentz 1, 2, P. Maruff 3, 4, C.-K. Sun 5, R. Raman 5, M.C. Donohue 5, A. Schembri 4, C. Stark 6, M.A. Yassa 6, A.M. Wessels 7, R. Yaari 7, K.C. Holdridge 7, P.S. Aisen 5, R.A. Sperling 1, 2

A4 Study Team

1 Department of Neurology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA 
2 Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA 
3 The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia 
4 Cogstate, Ltd, Melbourne, Victoria, Australia 
5 Alzheimer Therapeutic Research Institute, Keck School of Medicine, University of Southern California, San Diego, CA, USA 
6 Center for the Neurobiology of Learning and Memory and Department of Neurobiology and Behavior, University of California Irvine, Irvine, California, USA 
7 Eli Lilly and Company, Indianapolis, Indiana, USA 
8 Center for Alzheimer Research and Treatment, 60 Fenwood Road, 02115, Boston, MA, USA 

a kpapp@bwh.harvard.edu

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Abstract

Background

Computerized cognitive assessments may improve Alzheimer’s disease (AD) secondary prevention trial efficiency and accuracy. However, they require validation against standard outcomes and relevant biomarkers.

Objective

To assess the feasibility and validity of the tablet-based Computerized Cognitive Composite (C3).

Design

Cross-sectional analysis of cognitive screening data from the A4 study (Anti-Amyloid in Asymptomatic AD).

Setting

Multi-center international study.

Participants

Clinically normal (CN) older adults (65–85; n=4486)

Measurements

Participants underwent florbetapir-Positron Emission Tomography for Aβ+/− classification. They completed the C3 and standard paper and pencil measures included in the Preclinical Alzheimer’s Cognitive Composite (PACC). The C3 combines memory measures sensitive to change over time (Cogstate Brief Battery-One Card Learning) and measures shown to be declining early in AD including pattern separation (Behavioral Pattern Separation Test- Object-Lure Discrimination Index) and associative memory (Face Name Associative Memory Exam- Face-Name Matching). C3 acceptability and completion rates were assessed using qualitative and quantitative methods. C3 performance was explored in relation to Aβ+/− groups (n=1323/3163) and PACC.

Results

C3 was feasible for CN older adults to complete. Rates of incomplete or invalid administrations were extremely low, even in the bottom quartile of cognitive performers (PACC). C3 was moderately correlated with PACC (r=0.39). Aβ+ performed worse on C3 compared with Aβ− [unadjusted Cohen’s d=−0.22 (95%CI: −0.31,−0.13) p<0.001] and at a magnitude comparable to the PACC [d=−0.32 (95%CI: −0.41,−0.23) p<0.001]. Better C3 performance was observed in younger, more educated, and female participants.

Conclusions

These findings provide support for both the feasibility and validity of C3 and computerized cognitive outcomes more generally in AD secondary prevention trials.

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Key words : Digital biomarkers, cognition, computerized testing, preclinical Alzheimer’s disease, secondary prevention


Mappa


 Full listing of A4 Study team and site personnel available at A4STUDY.org


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Vol 8 - N° 1

P. 59-67 - Gennaio 2021 Ritorno al numero
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