Strategies to reduce sample sizes in Alzheimer's disease primary and secondary prevention trials using longitudinal amyloid PET imaging.


Journal

Alzheimer's research & therapy
ISSN: 1758-9193
Titre abrégé: Alzheimers Res Ther
Pays: England
ID NLM: 101511643

Informations de publication

Date de publication:
19 04 2021
Historique:
received: 17 11 2020
accepted: 26 03 2021
entrez: 20 4 2021
pubmed: 21 4 2021
medline: 25 6 2021
Statut: epublish

Résumé

Detecting subtle-to-moderate biomarker changes such as those in amyloid PET imaging becomes increasingly relevant in the context of primary and secondary prevention of Alzheimer's disease (AD). This work aimed to determine if and when distribution volume ratio (DVR; derived from dynamic imaging) and regional quantitative values could improve statistical power in AD prevention trials. Baseline and annualized % change in [ Although highly correlated to DVR (ρ = .96), cortical SUVR overestimated DVR cross-sectionally and in annual % change. In secondary prevention trials, DVR required 143 subjects per arm, compared with 176 for SUVR. Both restricting inclusion to individuals with intermediate amyloid burden levels or to APOE-ε4 carriers alone further reduced sample sizes. For primary prevention, SUVR required less subjects per arm (n = 855) compared with DVR (n = 1508) and the early composite also provided considerable sample size reductions (n = 855 to n = 509 for SUVR, n = 1508 to n = 734 for DVR). Sample sizes in AD secondary prevention trials can be reduced by the acquisition of dynamic PET scans and/or by restricting inclusion to subjects with intermediate amyloid burden or to APOE-ε4 carriers only. Using a targeted early composite only leads to reductions of sample size requirements in primary prevention trials. These findings support strategies to enable smaller Proof-of-Concept Phase II clinical trials to better streamline drug development.

Sections du résumé

BACKGROUND
Detecting subtle-to-moderate biomarker changes such as those in amyloid PET imaging becomes increasingly relevant in the context of primary and secondary prevention of Alzheimer's disease (AD). This work aimed to determine if and when distribution volume ratio (DVR; derived from dynamic imaging) and regional quantitative values could improve statistical power in AD prevention trials.
METHODS
Baseline and annualized % change in [
RESULTS
Although highly correlated to DVR (ρ = .96), cortical SUVR overestimated DVR cross-sectionally and in annual % change. In secondary prevention trials, DVR required 143 subjects per arm, compared with 176 for SUVR. Both restricting inclusion to individuals with intermediate amyloid burden levels or to APOE-ε4 carriers alone further reduced sample sizes. For primary prevention, SUVR required less subjects per arm (n = 855) compared with DVR (n = 1508) and the early composite also provided considerable sample size reductions (n = 855 to n = 509 for SUVR, n = 1508 to n = 734 for DVR).
CONCLUSION
Sample sizes in AD secondary prevention trials can be reduced by the acquisition of dynamic PET scans and/or by restricting inclusion to subjects with intermediate amyloid burden or to APOE-ε4 carriers only. Using a targeted early composite only leads to reductions of sample size requirements in primary prevention trials. These findings support strategies to enable smaller Proof-of-Concept Phase II clinical trials to better streamline drug development.

Identifiants

pubmed: 33875021
doi: 10.1186/s13195-021-00819-2
pii: 10.1186/s13195-021-00819-2
pmc: PMC8056524
doi:

Substances chimiques

Amyloid 0
Aniline Compounds 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

82

Subventions

Organisme : NIA NIH HHS
ID : P01 AG003991
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG026276
Pays : United States

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Auteurs

Isadora Lopes Alves (I)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. i.lopesalves@amsterdamumc.nl.

Fiona Heeman (F)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Lyduine E Collij (LE)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Gemma Salvadó (G)

Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.

Nelleke Tolboom (N)

Imaging Division, Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Natàlia Vilor-Tejedor (N)

Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Universitat Pompeu Fabra, Barcelona, Spain.

Pawel Markiewicz (P)

Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, London, UK.

Maqsood Yaqub (M)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

David Cash (D)

Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.

Elizabeth C Mormino (EC)

Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.

Philip S Insel (PS)

Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.
Department of Psychiatry, University of California, San Francisco, CA, USA.

Ronald Boellaard (R)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Bart N M van Berckel (BNM)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Adriaan A Lammertsma (AA)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Frederik Barkhof (F)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, London, UK.

Juan Domingo Gispert (JD)

Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain. jdgispert@barcelonabeta.org.
IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain. jdgispert@barcelonabeta.org.
Universitat Pompeu Fabra, Barcelona, Spain. jdgispert@barcelonabeta.org.
Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain. jdgispert@barcelonabeta.org.

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Classifications MeSH