Speakers
Carolyn Bramante, MD, MPH
Division of General Internal Medicine
Departments of Internal Medicine and Pediatrics
Core faculty in the Program in Health Disparities Research and the Center for Pediatric Obesity Medicine
University of Minnesota Medical School
Thomas Murray, PhD
Division of Biostatistics
Coordinating Centers for Biometric Research
School of Public Health
University of Minnesota
Jared Huling, PhD
Division of Biostatistics
School of Public Health
University of Minnesota
Topic
COVID-OUT: From Computer Modeling to a Phase III Trial of Early Outpatient Treatment for SARS-CoV-2 Infection
Keywords
COVID-OUT; Study design; Randomized controlled trial; Metformin; Parallel enrollment design; De-centralized study; Nested SMART study
Key Points
- The COVID-OUT trial is a phase 3, double-blinded, matched placebo-controlled, factorial design study of early outpatient treatments for SARS-Co-V-2 infection.
- Metformin has a history of antiviral properties and has been shown, pre-COVID-19, to lower inflammation in the body, inhibit mTOR action, and cytokine-reducing effects.
- Metformin is safe, inexpensive, and widely available.
- The COVID-OUT trial aims to test 1,124 subjects in a 6 arm study design with metformin alone, ivermectin alone, fluvoxamine alone, metformin and fluvoxamine combined, metformin and ivermectin combined, and placebo.
- A parallel enrollment design is used with a nested SMART study prevention trial.
- COVID-OUT uses pre-packaged pill boxes to deliver meds to participants at 7 sites in order to encourage the correct dosage for each drug.
Discussion Themes
De-centralized clinical trials take a lot of training for participating sites. You could potentially do more with a larger central site and more limited involvement of the de-centralized sites.
Randomization strategies can be challenging in de-centralized trials.
Platform factorial design with multiple agents of interest presents a challenge for statistical analysis.
Read more about the COVID-OUT trial.
Tags
#pctGR, @Collaboratory1
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