A blueprint for a multi-disease, multi-domain Bayesian adaptive platform trial incorporating adult and paediatric subgroups: the Staphylococcus aureus Network Adaptive Platform trial

Trials. 2023 Dec 6;24(1):795. doi: 10.1186/s13063-023-07718-x.


The Staphylococcus aureus Network Adaptive Platform (SNAP) trial is a multifactorial Bayesian adaptive platform trial that aims to improve the way that S. aureus bloodstream infection, a globally common and severe infectious disease, is treated. In a world first, the SNAP trial will simultaneously investigate the effects of multiple intervention modalities within multiple groups of participants with different forms of S. aureus bloodstream infection. Here, we formalise the trial structure, modelling approach, and decision rules that will be used for the SNAP trial. By summarising the statistical principles governing the design, our hope is that the SNAP trial will serve as an adaptable template that can be used to improve comparative effectiveness research efficiency in other disease areas.Trial registration NCT05137119 . Registered on 30 November 2021.

Keywords: Adaptive; Bayesian; Platform; Randomised; Staphylococcus aureus; Trial.

Publication types

  • Clinical Trial

MeSH terms

  • Adult
  • Bayes Theorem
  • Child
  • Humans
  • Sepsis*
  • Staphylococcal Infections* / diagnosis
  • Staphylococcus aureus

Associated data

  • ClinicalTrials.gov/NCT05137119