Coronavirus Disease 2019-Associated Mucormycosis in France: A Rare but Deadly Complication

  1. François Danion
  2. Valérie Letscher-Bru
  3. Juliette Guitard
  4. Karine Sitbon
  5. Sarah Dellière
  6. Adela Angoulvant
  7. Guillaume Desoubeaux
  8. Francoise Botterel
  9. Anne-Pauline Bellanger
  10. Gilles Gargala
  11. Fabrice Uhel
  12. Marie-Elisabeth Bougnoux
  13. Victor Gerber
  14. Justin Michel
  15. Marjorie Cornu
  16. Stéphane Bretagne
  17. Fanny Lanternier
  18. COVID-Mucor study group
  19. Hamid Merdji
  20. Xavier Delabranche
  21. Antoine Parrot
  22. Guillaume Voiriot
  23. Tomas Urbina
  24. Alexandre Mebazaa
  25. Benjamin Chousterman
  26. Ahmed El Kalioubie
  27. Sophie Six
  28. Pauline Coulon
  29. Boualem Sendid
  30. Nadia Anguel
  31. Charles Damoisel
  32. Charlotte Mussini
  33. Alban Villate
  34. Jean-Christophe Navellou
  35. Christophe Girault
  36. Carole Cassagne
  37. Olivier Augereau
  38. Francoise Dromer
  39. Dea Garcia-Hermoso
  40. Olivier Lortholary
  41. Alexandre Alanio

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Abstract

We studied COVID-19 associated mucormycosis based on 17 cases reported nationwide and assessed the differences with India. They differed by frequencies of diabetes mellitus (47% in France versus up to 95% in India), hematological malignancies (35% versus 1%), anatomical sites (12% versus >80% rhino-orbito-cerebral) and prognosis (88% mortality versus <50%).

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  1. Version published to 10.1093/ofid/ofab566
  2. ScreenIT

    SciScore for 10.1101/2021.07.05.21260041: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This study is part of the NRCMA official duties which are approved by the Institut Pasteur Internal Review Board (2009-34/IRB) in accordance with French Law.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot 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: We detected the following sentences addressing limitations in the study:
    Despite the multicenter design, the limitations of our study are the small number of cases and the retrospective design. However, epidemiological surveillance in France is based on a reliable and sustained collaboration between French mycologists and the NRCMA. This makes unlikely a major erroneous reporting. CA-Mucor has a high mortality in this study. Better knowledge, identification and earlier treatments of CA-Mucor might help to improve the prognosis. International studies are warranted to better understand and assess CA-Mucor.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    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.

  3. Version published to 10.1101/2021.07.05.21260041v1 on medRxiv