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Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study

Crossref DOI link: https://doi.org/10.1186/s13613-021-00896-4

Published Print: 2021

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Marais, ClÃ©mence

Claude, Caroline

Semaan, Nada

Charbel, Ramy

Barreault, Simon

Travert, Brendan

Piloquet, Jean-Eudes

Demailly, ZoÃ©

Morin, Luc

Merchaoui, Zied

Teboul, Jean-Louis

Durand, Philippe

Miatello, Jordi

TissiÃ¨res, Pierre https://orcid.org/0000-0001-5423-5532
Barreault, Simon

Beggaz, MÃ©lissa

Charbel, Ramy

Claude, Caroline

Demailly, ZoÃ©

Durand, Philippe

Gerschenfeld, Gaspard

Giraldi, Jessica

Guerra, Matteo

Hily, Manon

Journaux, Martin

Lai, Christopher

Leroux, Pauline

Marais, ClÃ©mence

Merchaoui, Zied

Miatello, Jordi

NiÃ§aise, Clarisse

Piloquet, Jean-Eudes

Ren, Melissa

Simbozel, Marie

Semaan, Nada

Teboul, Jean-Louis

Tissieres, Pierre

Travert, Brendan
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Text and Data Mining valid from 2021-01-01

Text and Data Mining valid from 2021-01-01

Version of Record valid from 2025-11-19
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This article is maintained by: Elsevier

Article Title: Myeloid phenotypes in severe COVID-19 predict secondary infection and mortality: a pilot study

Journal Title: Annals of Intensive Care

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s13613-021-00896-4

Content Type: article

Copyright: Copyright Â© 2021 The Author(s) 2021. Published by Elsevier Masson SAS