Literature DB >> 29616704

Minimizing the Sample Sizes of Clinical Trials on Preclinical and Early Symptomatic Stage of Alzheimer Disease.

J Luo1, H Weng, J C Morris, C Xiong.   

Abstract

BACKGROUND: Clinical trials of investigational drugs for Alzheimer disease (AD) increasingly focus on the prodromal (symptomatic) stage of the illness and now its preclinical (asymptomatic) stage. Sensitive and specific cognitive and functional endpoints are needed to track subtle cognitive and functional changes in the early and preclinical stages to minimize sample sizes in these trials.
OBJECTIVES: To identify informative items in a standard clinical assessment protocol and a psychometric battery that are predictive of onset of dementia symptom.
DESIGN: Longitudinal retrospective study.
SETTING: Washington University (WU) Knight Alzheimer Disease Research Center (ADRC). PARTICIPANTS: A total of 735 individuals at least 65 years old and cognitively normal at baseline from a longitudinal clinical cohort at the WU Knight ADRC. MEASUREMENTS: The annual clinical assessment included a wide spectrum of functional and cognitive domains; a comprehensive psychometric battery was completed about 2 weeks after the clinical evaluation. Psychometricians are blinded to the results of the clinical evaluation and to the prior performance of the participants on the psychometric tests.
RESULTS: The mean age at baseline of the 735 participants was 74.30 and 62.31% were female. 240 individuals developed prodromal dementia symptoms (consistent with mild cognitive impairment due to AD and with very mild AD dementia) during longitudinal follow-up (mean follow-up=6.79 years). Among a total of 562 items in the clinical and cognitive assessments under analysis, 292 (52%) were identified as informative because their longitudinal changes were predictive of symptomatic onset. When these items were used to form the functional and cognitive composites, the longitudinal rates of changes were free of a learning effect and captured subtle longitudinal progression prior to symptomatic onset. The rates of change were much greater right after the symptomatic onset than those from the functional and cognitive composites formed using non-informative items. Although the sample sizes for prevention trials (prior to symptomatic onset) using the informative items still yield large numbers, the sample sizes for early treatment trial (after symptomatic onset) was much smaller than those derived from all the items or from the non-informative items alone.
CONCLUSIONS: The antecedent longitudinal changes in nearly half of the items in a clinical assessment protocol and a comprehensive cognitive battery did not show statistically significant ability to predict the dementia symptom onset, and hence may be non-informative to track the preclinical functional and cognitive progression of AD. The remaining items, on the other hand, captured some of the preclinical changes prior to the symptom onset, but performed much better right after the symptom onset. Currently ongoing prevention trials on preclinical AD of elderly individuals may need to re-assess the sample sizes and statistical power.

Entities:  

Keywords:  Age of symptom onset; Alzheimer disease; informative items; power; prevention trials; treatment trials

Mesh:

Year:  2018        PMID: 29616704      PMCID: PMC6429951          DOI: 10.14283/jpad.2018.16

Source DB:  PubMed          Journal:  J Prev Alzheimers Dis        ISSN: 2274-5807


  21 in total

1.  Estimating local and global measures of association for bivariate interval censored data with a smooth estimate of the density.

Authors:  Kris Bogaerts; Emmanuel Lesaffre
Journal:  Stat Med       Date:  2008-12-10       Impact factor: 2.373

Review 2.  Preclinical trials in autosomal dominant AD: implementation of the DIAN-TU trial.

Authors:  S M Mills; J Mallmann; A M Santacruz; A Fuqua; M Carril; P S Aisen; M C Althage; S Belyew; T L Benzinger; W S Brooks; V D Buckles; N J Cairns; D Clifford; A Danek; A M Fagan; M Farlow; N Fox; B Ghetti; A M Goate; D Heinrichs; R Hornbeck; C Jack; M Jucker; W E Klunk; D S Marcus; R N Martins; C M Masters; R Mayeux; E McDade; J C Morris; A Oliver; J M Ringman; M N Rossor; S Salloway; P R Schofield; J Snider; P Snyder; R A Sperling; C Stewart; R G Thomas; C Xiong; R J Bateman
Journal:  Rev Neurol (Paris)       Date:  2013-09-06       Impact factor: 2.607

3.  Development of cognitive instruments for use in clinical trials of antidementia drugs: additions to the Alzheimer's Disease Assessment Scale that broaden its scope. The Alzheimer's Disease Cooperative Study.

Authors:  R C Mohs; D Knopman; R C Petersen; S H Ferris; C Ernesto; M Grundman; M Sano; L Bieliauskas; D Geldmacher; C Clark; L J Thal
Journal:  Alzheimer Dis Assoc Disord       Date:  1997       Impact factor: 2.703

4.  Measurement of functional activities in older adults in the community.

Authors:  R I Pfeffer; T T Kurosaki; C H Harrah; J M Chance; S Filos
Journal:  J Gerontol       Date:  1982-05

5.  A new clinical scale for the staging of dementia.

Authors:  C P Hughes; L Berg; W L Danziger; L A Coben; R L Martin
Journal:  Br J Psychiatry       Date:  1982-06       Impact factor: 9.319

6.  The Uniform Data Set (UDS): clinical and cognitive variables and descriptive data from Alzheimer Disease Centers.

Authors:  John C Morris; Sandra Weintraub; Helena C Chui; Jeffrey Cummings; Charles Decarli; Steven Ferris; Norman L Foster; Douglas Galasko; Neill Graff-Radford; Elaine R Peskind; Duane Beekly; Erin M Ramos; Walter A Kukull
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Oct-Dec       Impact factor: 2.703

Review 7.  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.

Authors:  Napatkamon Ayutyanont; 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
Journal:  J Clin Psychiatry       Date:  2014-06       Impact factor: 4.384

Review 8.  Commentary on "a roadmap for the prevention of dementia II: Leon Thal Symposium 2008." Prevention trials in persons at risk for dominantly inherited Alzheimer's disease: opportunities and challenges.

Authors:  John M Ringman; Joshua Grill; Yaneth Rodriguez-Agudelo; Mireya Chavez; Chengjie Xiong
Journal:  Alzheimers Dement       Date:  2009-03       Impact factor: 21.566

9.  DLB fluctuations: specific features that reliably differentiate DLB from AD and normal aging.

Authors:  T J Ferman; G E Smith; B F Boeve; R J Ivnik; R C Petersen; D Knopman; N Graff-Radford; J Parisi; D W Dickson
Journal:  Neurology       Date:  2004-01-27       Impact factor: 9.910

10.  The A4 study: stopping AD before symptoms begin?

Authors:  Reisa A Sperling; Dorene M Rentz; Keith A Johnson; Jason Karlawish; Michael Donohue; David P Salmon; Paul Aisen
Journal:  Sci Transl Med       Date:  2014-03-19       Impact factor: 17.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.