I-SPY COVID adaptive platform trial for COVID-19 acute respiratory failure: rationale, design and operations

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

The COVID-19 pandemic brought an urgent need to discover novel effective therapeutics for patients hospitalised with severe COVID-19. The Investigation of Serial studies to Predict Your Therapeutic Response with Imaging And moLecular Analysis (ISPY COVID-19 trial) was designed and implemented in early 2020 to evaluate investigational agents rapidly and simultaneously on a phase 2 adaptive platform. This manuscript outlines the design, rationale, implementation and challenges of the ISPY COVID-19 trial during the first phase of trial activity from April 2020 until December 2021.

Methods and analysis

The ISPY COVID-19 Trial is a multicentre open-label phase 2 platform trial in the USA designed to evaluate therapeutics that may have a large effect on improving outcomes from severe COVID-19. The ISPY COVID-19 Trial network includes academic and community hospitals with significant geographical diversity across the country. Enrolled patients are randomised to receive one of up to four investigational agents or a control and are evaluated for a family of two primary outcomes—time to recovery and mortality. The statistical design uses a Bayesian model with ‘stopping’ and ‘graduation’ criteria designed to efficiently discard ineffective therapies and graduate promising agents for definitive efficacy trials. Each investigational agent arm enrols to a maximum of 125 patients per arm and is compared with concurrent controls. As of December 2021, 11 investigational agent arms had been activated, and 8 arms were complete. Enrolment and adaptation of the trial design are ongoing.

Ethics and dissemination

ISPY COVID-19 operates under a central institutional review board via Wake Forest School of Medicine IRB00066805. Data generated from this trial will be reported in peer-reviewed medical journals.

Trial registration number

NCT04488081 .

Article activity feed

  1. SciScore for 10.1101/2022.05.05.22274628: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsConsent: If the agent is selected for inclusion, the chaperones prepare the materials necessary for IRB approval and implementation, including agent-specific appendices to the master protocol, informed consent documents and technical guides on dosing and administration.
    Sex as a biological variablenot detected.
    Randomization2 The I-SPY COVID Trial is a phase 2, multi-center, multi-arm, adaptive, open-label, randomized controlled trial designed to rapidly screen agents to identify those with potential impact to meaningfully improve outcomes for severe COVID-19 patients (Figure 1).
    BlindingWhile the open-label approach does potentially allow for investigator bias, a similar open label approach has also been used successfully in the RECOVERY Platform for COVID-19 in the United Kingdom.8 Ultimately, the open label design of the I-SPY COVID trial was deemed to be the most efficient approach to rapidly and safely evaluate novel therapeutics for severe COVID-19, with the goal that promising agents could be further tested in a closed, double blinded placebo-controlled format upon trial graduation.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Examples of the type of analyses that will be conducted include testing whether previously identified phenotypes of ARDS are relevant in COVID-199, replicating innovative analyses of immunotypes within severe COVID-19,10 testing for anti-Type I interferon antibodies in serum from enrolled patients,11 and measuring plasma viral antigen levels and SARS-CoV-2 endogenous antibody levels.
    anti-Type I
    suggested: None
    Software and Algorithms
    SentencesResources
    Lastly, site conduct is audited by Quantum Leap Healthcare Collaborative and trial conduct by other study sponsors.
    Leap Healthcare
    suggested: (Ohio State University College of Medicine; Ohio; USA, RRID:SCR_012866)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04488081RecruitingI-SPY COVID-19 TRIAL: An Adaptive Platform Trial for Critica…


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.