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Proactive prophylaxis with azithromycin and hydroxychloroquine in hospitalized patients with COVID-19 (ProPAC-COVID): a statistical analysis plan

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

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  • Pradeesh Sivapalan
  • Charlotte Suppli Ulrik
  • Therese Sophie Lappere
  • Josefin Viktoria Eklöf
  • Saher Burhan Shaker
  • Uffe Christian Steinholtz Bødtger
  • Andrea Browatzki
  • Christian Niels Meyer
  • Ulla Møller Weinreich
  • Christian B Laursen
  • Tor Biering-Sørensen
  • Filip Krag Knop
  • Jens D Lundgren
  • Jens-Ulrik Stæhr Jensen
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BACKGROUND: There is an urgent need for treatments that can shorten hospitalization and lower the risk of secondary infection and death in patients with corona disease. The ProPac-COVID trial evaluates whether combination therapy with macrolide azithromycin and hydroxychloroquine via anti-inflammation/immune modulation, antiviral efficacy, and pre-emptive treatment of supra-infections can shorten hospitalization duration and reduce the risk of non-invasive ventilation, treatment in the intensive care unit, and death in patients with acute hospital admission and a positive test for 2019-nCoV and symptoms of COVID-19 disease.

METHODS: The ProPAC-COVID is a multi-center, randomized, placebo-controlled, double-blinded clinical trial. The primary outcome is number of days spent alive and out of hospital within 14 days from randomization. Randomization will be in blocks of unknown size, and the final allocation will be stratified for age, site of recruitment, and whether the patient has any chronic lung diseases. Data is analyzed using intention-to-treat (ITT) principles, and main analyses will also be subject to modified ITT analysis and per protocol analysis.

DISCUSSION: This paper describes the detailed statistical analysis plan for the evaluation of primary and secondary endpoints of the ProPAC-COVID study. Enrolment of patients to the ProPAC-COVID study is still ongoing. The purpose of this paper is to provide primary publication of study results to prevent selective reporting of outcomes, data-driven analysis, and to increase transparency.

TRIAL REGISTRATION: ClinicalTrials.gov NCT04322396 . Registered on 26 March 2020.

OriginalsprogEngelsk
Artikelnummer867
TidsskriftTrials
Vol/bind21
Udgave nummer1
Sider (fra-til)867
ISSN1745-6215
DOI
StatusUdgivet - 1 dec. 2020

ID: 61074133