Literature DB >> 27710807

Cognitive and functional changes associated with Aβ pathology and the progression to mild cognitive impairment.

Philip S Insel1, Michael C Donohue2, R Scott Mackin3, Paul S Aisen2, Oskar Hansson4, Michael W Weiner5, Niklas Mattsson6.   

Abstract

Cognitively-normal people with evidence of β-amyloid (Aβ) pathology and subtle cognitive dysfunction are believed to be at high risk for progression to mild cognitive impairment due to Alzheimer's disease (AD). Clinical trials in later stages of AD typically include a coprimary endpoint to demonstrate efficacy on both cognitive and functional assessments. Recent trials focus on cognitively-normal people, but functional decline has not been explored for trial designs in this group. The goal of this study was therefore to characterize cognitive and functional decline in (1) cognitively-normal people converting to mild cognitive impairment (MCI) and (2) cognitively-normal β-amyloid-positive (Aβ+) people. Specifically, we sought to identify and compare the cognitive and functional assessments and their weighted combinations that maximize the longitudinal decline specific to these 2 groups. We studied 68 people who converted from normal cognition to MCI and 70 nonconverters, as well as 137 Aβ+ and 210 β-amyloid-negative cognitively-normal people. We used bootstrap aggregation and cross-validated mixed-models to estimate the distribution of weights applied to cognitive and functional outcomes to form composites. We also evaluated best subset optimization. Using optimized composites, we estimated statistical power for a variety of clinical trial scenarios. Overall, 55.4% of cognitively-normal to MCI converters were Aβ+. Large gains in power estimates were obtained when requiring participants to have both subtle cognitive dysfunction and Aβ pathology compared with requiring Aβ pathology alone. Additional power resulted when including functional as well as cognitive outcomes as part of the composite. Composites formed by applying equal weights to all measures provided the highest estimates of cross-validated power, although similar to both continuous weight optimization and best subset optimization. Using a composite to detect a 30% slowing of decline, 80% power was obtained for predicted Aβ+ converters with 375 completers/arm for a 30-month trial using a combination of cognitive/ functional measures. In the Aβ+ group, power to approach levels suitable for a phase III clinical trial would require considerably larger sample sizes. Composites incorporating both cognitive and functional measures may substantially increase the power of a trial in a preclinical (Aβ+) AD population with subtle evidence of cognitive dysfunction.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trials; Cognition; Composite; Function; Mild cognitive impairment; β-amyloid

Mesh:

Substances:

Year:  2016        PMID: 27710807     DOI: 10.1016/j.neurobiolaging.2016.08.017

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  15 in total

1.  EU/US/CTAD Task Force: Lessons Learned from Recent and Current Alzheimer's Prevention Trials.

Authors:  P Aisen; J Touchon; R Amariglio; S Andrieu; R Bateman; J Breitner; M Donohue; B Dunn; R Doody; N Fox; S Gauthier; M Grundman; S Hendrix; C Ho; M Isaac; R Raman; P Rosenberg; R Schindler; L Schneider; R Sperling; P Tariot; K Welsh-Bohmer; M Weiner; B Vellas
Journal:  J Prev Alzheimers Dis       Date:  2017

2.  Editorial: Collaborative Efforts to Prevent Alzheimer's Disease.

Authors:  J Touchon; J Rosenbaum; P Aisen; S Andrieu; M C Carrillo; M Ceccaldi; J-F Dartiques; H Feldman; A Gabelle; M Isaac; L J Fitten; R A Sperling; B Vellas; P Tariot; M Weiner
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

3.  Neuropsychological measures that detect early impairment and decline in preclinical Alzheimer disease.

Authors:  Suzanne E Schindler; Mateusz S Jasielec; Hua Weng; Jason J Hassenstab; Ellen Grober; Lena M McCue; John C Morris; David M Holtzman; Chengjie Xiong; Anne M Fagan
Journal:  Neurobiol Aging       Date:  2017-04-14       Impact factor: 4.673

4.  Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons.

Authors:  Michael C Donohue; Reisa A Sperling; Ronald Petersen; Chung-Kai Sun; Michael W Weiner; Paul S Aisen
Journal:  JAMA       Date:  2017-06-13       Impact factor: 56.272

5.  Diagnostic and Prognostic Accuracy of the Cogstate Brief Battery and Auditory Verbal Learning Test in Preclinical Alzheimer's Disease and Incident Mild Cognitive Impairment: Implications for Defining Subtle Objective Cognitive Impairment.

Authors:  Nikki H Stricker; Emily S Lundt; Sabrina M Albertson; Mary M Machulda; Shehroo B Pudumjee; Walter K Kremers; Clifford R Jack; David S Knopman; Ronald C Petersen; Michelle M Mielke
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

6.  Joint associations of β-amyloidosis and cortical thickness with cognition.

Authors:  David S Knopman; Emily S Lundt; Terry M Therneau; Prashanthi Vemuri; Val J Lowe; Kejal Kantarci; Jeffrey L Gunter; Matthew L Senjem; Michelle M Mielke; Mary M Machulda; Rosebud O Roberts; Bradley F Boeve; David T Jones; Ronald C Petersen; Clifford R Jack
Journal:  Neurobiol Aging       Date:  2018-02-02       Impact factor: 4.673

7.  Cross-validation of optimized composites for preclinical Alzheimer's disease.

Authors:  Michael C Donohue; Chung-Kai Sun; Rema Raman; Philip S Insel; Paul S Aisen
Journal:  Alzheimers Dement (N Y)       Date:  2017-01

8.  The effect of diagnostic criteria on outcome measures in preclinical and prodromal Alzheimer's disease: Implications for trial design.

Authors:  Daniela Bertens; Betty M Tijms; Lisa Vermunt; Niels D Prins; Philip Scheltens; Pieter Jelle Visser
Journal:  Alzheimers Dement (N Y)       Date:  2017-09-21

9.  PET staging of amyloidosis using striatum.

Authors:  Bernard J Hanseeuw; Rebecca A Betensky; Elizabeth C Mormino; Aaron P Schultz; Jorge Sepulcre; John A Becker; Heidi I L Jacobs; Rachel F Buckley; Molly R LaPoint; Patrizia Vannini; Nancy J Donovan; Jasmeer P Chhatwal; Gad A Marshall; Kathryn V Papp; Rebecca E Amariglio; Dorene M Rentz; Reisa A Sperling; Keith A Johnson
Journal:  Alzheimers Dement       Date:  2018-05-21       Impact factor: 21.566

10.  Multiple markers contribute to risk of progression from normal to mild cognitive impairment.

Authors:  Jennifer S Rabin; Taylor E Neal; Hannah E Nierle; Sietske A M Sikkes; Rachel F Buckley; Rebecca E Amariglio; Kathryn V Papp; Dorene M Rentz; Aaron P Schultz; Keith A Johnson; Reisa A Sperling; Trey Hedden
Journal:  Neuroimage Clin       Date:  2020-08-28       Impact factor: 4.881

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