ACTIV-5 / Big Effect Trial (BET-B) for the Treatment of COVID-19

Summary

Participation Requirements

Description

This is a platform trial to conduct a series of randomized, double-blind, placebo-controlled trials using common assessments and endpoints in hospitalized adults diagnosed with Coronavirus Disease 2019 (COVID-19). Big Effect Trial (BET) is a proof-of-concept study with the intent of identifying prom...

This is a platform trial to conduct a series of randomized, double-blind, placebo-controlled trials using common assessments and endpoints in hospitalized adults diagnosed with Coronavirus Disease 2019 (COVID-19). Big Effect Trial (BET) is a proof-of-concept study with the intent of identifying promising treatments to enter a more definitive study. The study will be conducted in up to 70 domestic sites and 5 international sites. The study will compare different investigational therapeutic agents to a common control arm and determine which have relatively large effects. In order to maintain the double blind, each intervention will have a matched placebo. However, the control arm will be shared between interventions and may include participants receiving the matched placebo for a different intervention. The goal is not to determine clear statistical significance for an intervention, but rather to determine which products have clinical data suggestive of efficacy and should be moved quickly into larger studies. Estimates produced from BET will provide an improved basis for designing the larger trial, in terms of sample size and endpoint selection. Products with little indication of efficacy will be dropped on the basis of interim evaluations. In addition, some interventions may be discontinued on the basis of interim futility or efficacy analyses. One or more interventions may be started at any time. The number of interventions enrolling are programmatic decisions and will be based on the number of sites and the pace of enrollment. At the time of enrollment, subjects will be randomized to receive any one of the active arms they are eligible for or placebo. Approximately 200 (100 treatment and 100 shared placebo) subjects will be assigned to each arm entering the platform and a given site will generally have no more than 3 interventions at once. The BET-B stage will evaluate the combination of remdesivir with lenzilumab vs remdesivir with a lenzilumab placebo. Subjects will be assessed daily while hospitalized. Once subjects are discharged from the hospital, they will have a study visit at Days 8, 15, 22, 29, and 60 as an outpatient. The Day 8, Day 22 and Day 60 visits do not have laboratory tests or collection of samples and may be conducted by phone. All subjects will undergo a series of efficacy and safety laboratory assessments. Safety laboratory tests and blood (serum and plasma) research samples and oropharyngeal (OP) swabs will be obtained on Day 1 (prior to study product administration) and Days 3, 5, 8, and 11 while hospitalized. OP swabs (oropharyngeal swabs are preferred, but if these are not obtainable, saliva or nasopharyngeal or nasal swabs may be substituted) and blood research samples plus safety laboratory tests will be collected on Day 15 and 29 if the subject attends an in-person visit or is still hospitalized. However, if infection control considerations or other restrictions prevent the subject from returning to the clinic, Day 15 and 29 visits may be conducted by phone and only clinical data will be obtained. The primary objective is to evaluate the clinical efficacy of different investigational therapeutics relative to the control arm in adults hospitalized with COVID-19 according to clinical status (8-point ordinal scale) at Day 8. The key secondary objectives are to 1) evaluate the clinical efficacy of different investigational therapeutics as assessed by time to recovery compared to the control arm, and 2) to evaluate the proportion of subjects alive and without respiratory failure through Day 29. Contacts: 20-0013 Central Contact Telephone: 1 (301) 7617948 Email: DMIDClinicalTrials@niaid.nih.gov

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