Literature DB >> 24816373

The Alzheimer's prevention initiative composite cognitive test score: sample size estimates for the evaluation of preclinical Alzheimer's disease treatments in presenilin 1 E280A mutation carriers.

Napatkamon Ayutyanont1, Jessica B S Langbaum, Suzanne B Hendrix, Kewei Chen, Adam S Fleisher, Michel Friesenhahn, Michael Ward, Camilo Aguirre, Natalia Acosta-Baena, Lucìa Madrigal, Claudia Muñoz, Victoria Tirado, Sonia Moreno, Pierre N Tariot, Francisco Lopera, Eric M Reiman.   

Abstract

OBJECTIVE: To identify a cognitive composite that is sensitive to tracking preclinical Alzheimer's disease decline to be used as a primary end point in treatment trials.
METHOD: We capitalized on longitudinal data collected from 1995 to 2010 from cognitively unimpaired presenilin 1 (PSEN1) E280A mutation carriers from the world's largest known early-onset autosomal dominant Alzheimer's disease kindred to identify a composite cognitive test with the greatest statistical power to track preclinical Alzheimer's disease decline and estimate the number of carriers age 30 years and older needed to detect a treatment effect in the Alzheimer's Prevention Initiative's (API) preclinical Alzheimer's disease treatment trial. The mean-to-standard-deviation ratios (MSDRs) of change over time were calculated in a search for the optimal combination of 1 to 7 cognitive tests/subtests drawn from the neuropsychological test battery in cognitively unimpaired mutation carriers during a 2- and 5-year follow-up period (n = 78 and 57), using data from noncarriers (n = 31 and 56) during the same time period to correct for aging and practice effects. Combinations that performed well were then evaluated for robustness across follow-up years, occurrence of selected items within top-performing combinations, and representation of relevant cognitive domains.
RESULTS: The optimal test combination included Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word List Recall, CERAD Boston Naming Test (high frequency items), Mini-Mental State Examination (MMSE) Orientation to Time, CERAD Constructional Praxis, and Raven's Progressive Matrices (Set A), with an MSDR of 1.62. This composite is more sensitive than using either the CERAD Word List Recall (MSDR = 0.38) or the entire CERAD-Col battery (MSDR = 0.76). A sample size of 75 cognitively normal PSEN1 E280A mutation carriers aged 30 years and older per treatment arm allows for a detectable treatment effect of 29% in a 60-month trial (80% power, P = .05).
CONCLUSIONS: We have identified a composite cognitive test score representing multiple cognitive domains that, compared to the most sensitive single test item, has improved power to track preclinical Alzheimer's disease decline in autosomal dominant Alzheimer's disease mutation carriers and to evaluate preclinical Alzheimer's disease treatments. This API composite cognitive test score will be used as the primary end point in the first API trial in cognitively unimpaired autosomal dominant Alzheimer's disease carriers within 15 years of their estimated age at clinical onset. We have independently confirmed our findings in a separate cohort of cognitively healthy older adults who progressed to the clinical stages of late-onset Alzheimer's disease, described in a separate report, and continue to refine the composite in independent cohorts and compared with other analytic approaches. © Copyright 2014 Physicians Postgraduate Press, Inc.

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Year:  2014        PMID: 24816373      PMCID: PMC4331113          DOI: 10.4088/JCP.13m08927

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  36 in total

1.  A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment.

Authors:  Laura E Gibbons; Adam C Carle; R Scott Mackin; Danielle Harvey; Shubhabrata Mukherjee; Philip Insel; S McKay Curtis; Dan Mungas; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

2.  Prediction of preclinical Alzheimer's disease: longitudinal rates of change in cognition.

Authors:  Kathryn P Riley; Gregory A Jicha; Daron Davis; Erin L Abner; Gregory E Cooper; Nancy Stiles; Charles D Smith; Richard J Kryscio; Peter T Nelson; Linda J Van Eldik; Frederick A Schmitt
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

3.  Cognitive function over time in the Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT): results of a randomized, controlled trial of naproxen and celecoxib.

Authors:  Barbara K Martin; Christine Szekely; Jason Brandt; Steven Piantadosi; John C S Breitner; Suzanne Craft; Denis Evans; Robert Green; Michael Mullan
Journal:  Arch Neurol       Date:  2008-05-12

4.  Gaining precision on the Alzheimer's Disease Assessment Scale-cognitive: a comparison of item response theory-based scores and total scores.

Authors:  Steve Balsis; Alexis A Unger; Jared F Benge; Lisa Geraci; Rachelle S Doody
Journal:  Alzheimers Dement       Date:  2012-03-30       Impact factor: 21.566

5.  Pre-dementia clinical stages in presenilin 1 E280A familial early-onset Alzheimer's disease: a retrospective cohort study.

Authors:  Natalia Acosta-Baena; Diego Sepulveda-Falla; Carlos Mario Lopera-Gómez; Mario César Jaramillo-Elorza; Sonia Moreno; Daniel Camilo Aguirre-Acevedo; Amanda Saldarriaga; Francisco Lopera
Journal:  Lancet Neurol       Date:  2011-02-04       Impact factor: 44.182

6.  The ADAS-cog in Alzheimer's disease clinical trials: psychometric evaluation of the sum and its parts.

Authors:  Stefan J Cano; Holly B Posner; Margaret L Moline; Stephen W Hurt; Jina Swartz; Tim Hsu; Jeremy C Hobart
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-09-29       Impact factor: 10.154

Review 7.  Alzheimer's Prevention Initiative: a plan to accelerate the evaluation of presymptomatic treatments.

Authors:  Eric M Reiman; Jessica B S Langbaum; Adam S Fleisher; Richard J Caselli; Kewei Chen; Napatkamon Ayutyanont; Yakeel T Quiroz; Kenneth S Kosik; Francisco Lopera; Pierre N Tariot
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

Review 8.  Maintaining adherence and retention in dementia prevention trials.

Authors:  Steven T DeKosky
Journal:  Neurology       Date:  2006-11-14       Impact factor: 9.910

9.  The preclinical phase of alzheimer disease: A 22-year prospective study of the Framingham Cohort.

Authors:  M F Elias; A Beiser; P A Wolf; R Au; R F White; R B D'Agostino
Journal:  Arch Neurol       Date:  2000-06

10.  Prodromal Alzheimer's disease: successive emergence of the clinical symptoms.

Authors:  Hélène Amieva; Mélanie Le Goff; Xavier Millet; Jean Marc Orgogozo; Karine Pérès; Pascale Barberger-Gateau; Hélène Jacqmin-Gadda; Jean François Dartigues
Journal:  Ann Neurol       Date:  2008-11       Impact factor: 10.422

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  39 in total

1.  Establishing Composite Cognitive Endpoints for Use in Preclinical Alzheimer's Disease Trials.

Authors:  J B Langbaum; S Hendrix; N Ayutyanont; D A Bennett; R C Shah; L L Barnes; F Lopera; E M Reiman; P N Tariot
Journal:  J Prev Alzheimers Dis       Date:  2015-03

2.  Homozygosity of the autosomal dominant Alzheimer disease presenilin 1 E280A mutation.

Authors:  Kenneth S Kosik; Claudia Muñoz; Liliana Lopez; Mary Luz Arcila; Gloria García; Lucía Madrigal; Sonia Moreno; Silvia Ríos Romenets; Hugo Lopez; Madelyn Gutierrez; Jessica B Langbaum; William Cho; Shehnaaz Suliman; Pierre N Tariot; Carole Ho; Eric M Reiman; Francisco Lopera
Journal:  Neurology       Date:  2014-12-03       Impact factor: 9.910

Review 3.  Detectable Neuropsychological Differences in Early Preclinical Alzheimer's Disease: A Meta-Analysis.

Authors:  S Duke Han; Caroline P Nguyen; Nikki H Stricker; Daniel A Nation
Journal:  Neuropsychol Rev       Date:  2017-05-11       Impact factor: 7.444

4.  Prevention studies in Alzheimer's disease: progress towards the development of new therapeutics.

Authors:  Nicola Coley; Adeline Gallini; Sandrine Andrieu
Journal:  CNS Drugs       Date:  2015-07       Impact factor: 5.749

5.  An empirically derived composite cognitive test score with improved power to track and evaluate treatments for preclinical Alzheimer's disease.

Authors:  Jessica B Langbaum; Suzanne B Hendrix; Napatkamon Ayutyanont; Kewei Chen; Adam S Fleisher; Raj C Shah; Lisa L Barnes; David A Bennett; Pierre N Tariot; Eric M Reiman
Journal:  Alzheimers Dement       Date:  2014-04-21       Impact factor: 21.566

6.  Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study.

Authors:  Adam S Fleisher; Kewei Chen; Yakeel T Quiroz; Laura J Jakimovich; Madelyn Gutierrez Gomez; Carolyn M Langois; Jessica B S Langbaum; Auttawut Roontiva; Pradeep Thiyyagura; Wendy Lee; Napatkamon Ayutyanont; Liliana Lopez; Sonia Moreno; Claudia Muñoz; Victoria Tirado; Natalia Acosta-Baena; Anne M Fagan; Margarita Giraldo; Gloria Garcia; Matthew J Huentelman; Pierre N Tariot; Francisco Lopera; Eric M Reiman
Journal:  JAMA Neurol       Date:  2015-03       Impact factor: 18.302

7.  Longitudinal Positron Emission Tomography in Preventive Alzheimer's Disease Drug Trials, Critical Barriers from Imaging Science Perspective.

Authors:  Sepideh Shokouhi; Desmond Campbell; Aaron B Brill; Harry E Gwirtsman
Journal:  Brain Pathol       Date:  2016-09       Impact factor: 6.508

Review 8.  Primary and Secondary Prevention Trials in Alzheimer Disease: Looking Back, Moving Forward.

Authors:  David Hsu; Gad A Marshall
Journal:  Curr Alzheimer Res       Date:  2017       Impact factor: 3.498

9.  Linear Combinations of Multiple Outcome Measures to Improve the Power of Efficacy Analysis ---Application to Clinical Trials on Early Stage Alzheimer Disease.

Authors:  Chengjie Xiong; Jingqin Luo; John C Morris; Randall Bateman
Journal:  Biostat Epidemiol       Date:  2017-06-02

10.  Cognitive/Clinical Endpoints for Pre-Dementia AD Trials.

Authors:  P S Aisen
Journal:  J Prev Alzheimers Dis       Date:  2015
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