Hydroxychloroquine alone or in combination with azithromycin to prevent major clinical events in hospitalised patients with coronavirus infection (COVID-19): rationale and design of a randomised, controlled clinical trial

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Abstract

Introduction: Hydroxychloroquine and its combination with azithromycin have been suggested to improve viral clearance in patients with COVID-19, but its effect on clinical outcomes remains uncertain. Methods and analysis: We describe the rationale and design of an open-label pragmatic multicentre randomised (concealed) clinical trial of 7 days of hydroxychloroquine (400 mg BID) plus azithromycin (500 mg once daily), hydroxychloroquine 400 mg BID, or standard of care for moderately severe hospitalised patients with suspected or confirmed COVID-19 (in-patients with up to 4L/minute oxygen supply through nasal catheter). Patients are randomised in around 50 recruiting sites and we plan to enrol 630 patients with COVID-19. The primary endpoint is a 7-level ordinal scale measured at 15-days: 1)not hospitalised, without limitations on activities; 2)not hospitalised, with limitations on activities; 3)hospitalised, not using supplementary oxygen; 4)hospitalised, using supplementary oxygen; 5)hospitalised, using high-flow nasal cannula or non-invasive ventilation; 6)hospitalised, on mechanical ventilation; 7)death. Secondary endpoints are the ordinal scale at 7 days, need for mechanical ventilation and rescue therapies during 15 days, need of high-flow nasal cannula or non-invasive ventilation during 15 days, length of hospital stay, in-hospital mortality, thromboembolic events, occurrence of acute kidney injury, and number of days free of respiratory support at 15 days. Secondary safety outcomes include prolongation of QT interval on electrocardiogram, ventricular arrhythmias, and liver toxicity. The main analysis will consider all patients with confirmed COVID-19 in the groups they were randomly assigned. Ethics and dissemination: This study has been approved by Brazil's National Ethic Committee (CONEP) and National Health Surveillance Agency (ANVISA). An independent data monitoring committee will perform interim analyses and evaluate adverse events throughout the trial. Results will be submitted for publication after enrolment and follow-up are complete, as well as presented and reported to local health agencies. ClinicalTrials.gov identifier: NCT04322123

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  1. SciScore for 10.1101/2020.05.19.20106997: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    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
    NCT04322123Active, not recruitingSafety and Efficacy of Hydroxychloroquine Associated With Az…


    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.
    • Thank you for including a protocol registration statement.

    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.