Literature DB >> 34325548

On the design of early-phase Alzheimer's disease clinical trials with cerebrospinal fluid tau outcomes.

Michelle M Nuño1,2, Joshua D Grill3,4,5, Daniel L Gillen3,6.   

Abstract

BACKGROUND/AIMS: The focus of Alzheimer's disease studies has shifted to earlier disease stages, including mild cognitive impairment. Biomarker inclusion criteria are often incorporated into mild cognitive impairment clinical trials to identify individuals with "prodromal Alzheimer's disease" to ensure appropriate drug targets and enrich for participants likely to develop Alzheimer's disease dementia. The use of these eligibility criteria may affect study power.
METHODS: We investigated outcome variability and study power in the setting of proof-of-concept prodromal Alzheimer's disease trials that incorporate cerebrospinal fluid levels of total tau (t-tau) and phosphorylated (p-tau) as primary outcomes and how differing biomarker inclusion criteria affect power. We used data from the Alzheimer's Disease Neuroimaging Initiative to model trial scenarios and to estimate the variance and within-subject correlation of total and phosphorylated tau. These estimates were then used to investigate the differences in study power for trials considering these two surrogate outcomes.
RESULTS: Patient characteristics were similar for all eligibility criteria. The lowest outcome variance and highest within-subject correlation were obtained when phosphorylated tau was used as an eligibility criterion, compared to amyloid beta or total tau, regardless of whether total tau or phosphorylated tau were used as primary outcomes. Power increased when eligibility criteria were broadened to allow for enrollment of subjects with either low amyloid beta or high phosphorylated tau.
CONCLUSION: Specific biomarker inclusion criteria may impact statistical power in trials using total tau or phosphorylated tau as the primary outcome. In concert with other important considerations such as treatment target and population of clinical interest, these results may have implications to the integrity and efficiency of prodromal Alzheimer's disease trial designs.

Entities:  

Keywords:  Alzheimer’s disease; biomarkers; inclusion criteria; trial design

Mesh:

Substances:

Year:  2021        PMID: 34325548      PMCID: PMC8595611          DOI: 10.1177/17407745211034497

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  45 in total

1.  Mild cognitive impairment: clinical characterization and outcome.

Authors:  R C Petersen; G E Smith; S C Waring; R J Ivnik; E G Tangalos; E Kokmen
Journal:  Arch Neurol       Date:  1999-03

2.  The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Marilyn S Albert; Steven T DeKosky; Dennis Dickson; Bruno Dubois; Howard H Feldman; Nick C Fox; Anthony Gamst; David M Holtzman; William J Jagust; Ronald C Petersen; Peter J Snyder; Maria C Carrillo; Bill Thies; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

3.  Effects of AZD3480 on cognition in patients with mild-to-moderate Alzheimer's disease: a phase IIb dose-finding study.

Authors:  Lutz Frölich; Tim Ashwood; Jonas Nilsson; Göran Eckerwall
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

4.  Longitudinal stability of CSF biomarkers in Alzheimer's disease.

Authors:  Kaj Blennow; Henrik Zetterberg; Lennart Minthon; Lars Lannfelt; Stig Strid; Peter Annas; Hans Basun; Niels Andreasen
Journal:  Neurosci Lett       Date:  2007-04-06       Impact factor: 3.046

5.  Targeting Prodromal Alzheimer Disease With Avagacestat: A Randomized Clinical Trial.

Authors:  Vladimir Coric; Stephen Salloway; Christopher H van Dyck; Bruno Dubois; Niels Andreasen; Mark Brody; Craig Curtis; Hilkka Soininen; Stephen Thein; Thomas Shiovitz; Gary Pilcher; Steven Ferris; Susan Colby; Wendy Kerselaers; Randy Dockens; Holly Soares; Stephen Kaplita; Feng Luo; Chahin Pachai; Luc Bracoud; Mark Mintun; Joshua D Grill; Ken Marek; John Seibyl; Jesse M Cedarbaum; Charles Albright; Howard H Feldman; Robert M Berman
Journal:  JAMA Neurol       Date:  2015-11       Impact factor: 18.302

6.  Tau pathology and neurodegeneration contribute to cognitive impairment in Alzheimer's disease.

Authors:  Alexandre Bejanin; Daniel R Schonhaut; Renaud La Joie; Joel H Kramer; Suzanne L Baker; Natasha Sosa; Nagehan Ayakta; Averill Cantwell; Mustafa Janabi; Mariella Lauriola; James P O'Neil; Maria L Gorno-Tempini; Zachary A Miller; Howard J Rosen; Bruce L Miller; William J Jagust; Gil D Rabinovici
Journal:  Brain       Date:  2017-12-01       Impact factor: 13.501

7.  Increased CSF neurogranin concentration is specific to Alzheimer disease.

Authors:  Henrietta Wellington; Ross W Paterson; Erik Portelius; Ulrika Törnqvist; Nadia Magdalinou; Nick C Fox; Kaj Blennow; Jonathan M Schott; Henrik Zetterberg
Journal:  Neurology       Date:  2016-01-29       Impact factor: 9.910

8.  Tau and Aβ imaging, CSF measures, and cognition in Alzheimer's disease.

Authors:  Matthew R Brier; Brian Gordon; Karl Friedrichsen; John McCarthy; Ari Stern; Jon Christensen; Christopher Owen; Patricia Aldea; Yi Su; Jason Hassenstab; Nigel J Cairns; David M Holtzman; Anne M Fagan; John C Morris; Tammie L S Benzinger; Beau M Ances
Journal:  Sci Transl Med       Date:  2016-05-11       Impact factor: 17.956

9.  Longitudinal tau and metabolic PET imaging in relation to novel CSF tau measures in Alzheimer's disease.

Authors:  Antoine Leuzy; Claudia Cicognola; Konstantinos Chiotis; Laure Saint-Aubert; Laetitia Lemoine; Niels Andreasen; Henrik Zetterberg; Keqiang Ye; Kaj Blennow; Kina Höglund; Agneta Nordberg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-04       Impact factor: 9.236

Review 10.  The "rights" of precision drug development for Alzheimer's disease.

Authors:  Jeffrey Cummings; Howard H Feldman; Philip Scheltens
Journal:  Alzheimers Res Ther       Date:  2019-08-31       Impact factor: 6.982

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