Literature DB >> 23229078

Targeted recruitment using cerebrospinal fluid biomarkers: implications for Alzheimer's disease therapeutic trials.

Josephine Barnes1, Jonathan W Bartlett, Nick C Fox, Jonathan M Schott.   

Abstract

There is interest in using cerebrospinal fluid (CSF) biomarkers to enrich mild cognitive impairment (MCI) clinical trials; however, there are conflicting views on their utility. We identified MCI subjects with CSF from the Alzheimer's Disease Neuroimaging Initiative. We measured brain and hippocampal atrophy rates, ventricular expansion rates, and decline in ADAS-Cog 13 and MMSE over one year. We examined proportionate and absolute reductions in mean outcome measures. Using a CSF Aβ1-42 cut-off (192 pg/ml), we estimated sample size ratios for clinical trials based on these outcomes for targeted (i.e., low-Aβ-MCI subjects only) compared with unrestricted recruitment. We further examined sample size ratios assuming only low-Aβ-MCIs would benefit from treatment. We found that for proportionate reductions in mean outcomes targeted recruitment led to significantly smaller sample sizes for all outcomes apart from ADAS-Cog. No sample size reduction was demonstrated for outcomes based on absolute reductions. Excluding subjects who would not benefit from treatment always reduces sample sizes. Using CSF biomarkers as inclusion criteria for AD trials increases the number of subjects needing to be screened but may reduce required sample sizes and reduce the risk of exposing patients without amyloid pathology to treatment side-effects. Whether targeted recruitment reduces required sample sizes depends critically on assumptions regarding treatment effects.

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Year:  2013        PMID: 23229078     DOI: 10.3233/JAD-121936

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  6 in total

1.  Operationalizing hippocampal volume as an enrichment biomarker for amnestic mild cognitive impairment trials: effect of algorithm, test-retest variability, and cut point on trial cost, duration, and sample size.

Authors:  Peng Yu; Jia Sun; Robin Wolz; Diane Stephenson; James Brewer; Nick C Fox; Patricia E Cole; Clifford R Jack; Derek L G Hill; Adam J Schwarz
Journal:  Neurobiol Aging       Date:  2013-10-03       Impact factor: 4.673

2.  Optimizing Effect Sizes With Imaging Enrichment and Outcome Choices for Mild Alzheimer Disease Clinical Trials.

Authors:  Timothy S Chang; Edmond Teng; David Elashoff; Joshua D Grill
Journal:  Alzheimer Dis Assoc Disord       Date:  2017 Jan-Mar       Impact factor: 2.703

3.  Validation of the Alzheimer Disease Dementia Conversion-Related Pattern as an ATN Biomarker of Neurodegeneration.

Authors:  Ganna Blazhenets; Lars Frings; Yilong Ma; Arnd Sörensen; David Eidelberg; Jens Wiltfang; Philipp T Meyer
Journal:  Neurology       Date:  2021-01-06       Impact factor: 9.910

4.  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

5.  A three-range approach enhances the prognostic utility of CSF biomarkers in Alzheimer's disease.

Authors:  Wagner S Brum; Marco Antônio de Bastiani; Andrei Bieger; Joseph Therriault; João P Ferrari-Souza; Andréa L Benedet; Paramita Saha-Chaudhuri; Diogo O Souza; Nicholas J Ashton; Henrik Zetterberg; Tharick A Pascoal; Thomas Karikari; Kaj Blennow; Pedro Rosa-Neto; Eduardo R Zimmer
Journal:  Alzheimers Dement (N Y)       Date:  2022-03-13

6.  Evidence for Decreased Nucleolar PARP-1 as an Early Marker of Cognitive Impairment.

Authors:  Matthew Regier; Jiancong Liang; Alexander Choi; Kavita Verma; Jenny Libien; A Iván Hernández
Journal:  Neural Plast       Date:  2019-11-19       Impact factor: 3.599

  6 in total

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