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About
PALETTE is a perpetual adaptive platform to efficiently study sepsis interventions within 'treatable traits' in all-ages patients enabling prompt evaluation of pandemic treatments. Treatable traits, therapeutic targets identified by phenotypes or endotypes (defined by biological mechanism or by treatment response) through validated biomarkers (measurable characteristic reflecting normal or pathogenic processes, or treatment responses), may include multi-omics, cellular, immune, metabolic, endocrine features, or intelligent algorithms. PALETTE Bayesian adaptive design enables parallel investigations of multiple interventions for sepsis, and quick inclusion of pandemic pathogens. PALETTE's new conceptual model will respond to the challenges of standard approaches, i.e. series of sepsis trials, each investigating one or two interventions, expensive, time consuming, and inappropriate in pandemic context.
Enrollment
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Inclusion criteria
Domain specific additional inclusion criteria :
Hyper or hypo inflammation based
Corticosteroids domain Corticosteroids responses based on the combination of Glucocorticoid-induced 1 GLCCI1) AA and nuclear factor (NF)-KB1 DI genotypes.
Coagulation domain
Exclusion criteria
Patients can be included in multiple domains.
Primary purpose
Allocation
Interventional model
Masking
2,000 participants in 11 patient groups
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Central trial contact
Jérôme Lambert; Djillali Annane, Pr
Data sourced from clinicaltrials.gov
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