The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
Matthieu Perreau,
Madeleine Suffiotti,
Pedro Marques-Vidal,
Aurelie Wiedemann,
Yves Levy,
Cédric Laouénan,
Jade Ghosn,
Craig Fenwick,
Denis Comte,
Thierry Roger,
Jean Regina,
Peter Vollenweider,
Gerard Waeber,
Mauro Oddo,
Thierry Calandra and
Giuseppe Pantaleo ()
Additional contact information
Matthieu Perreau: Lausanne University Hospital, University of Lausanne
Madeleine Suffiotti: Lausanne University Hospital, University of Lausanne
Pedro Marques-Vidal: Lausanne University Hospital, University of Lausanne
Aurelie Wiedemann: Université Paris-Est, Faculté de Médecine, INSERM U955
Yves Levy: Université Paris-Est, Faculté de Médecine, INSERM U955
Cédric Laouénan: AP-HP, Hôpital Bichat, Département Épidémiologie Biostatistiques et Recherche Clinique, INSERM, Centre d’Investigation clinique-Epidémiologie Clinique 1425
Jade Ghosn: AP-HP, Hôpital Bichat, Service de Maladies Infectieuses et Tropicales
Craig Fenwick: Lausanne University Hospital, University of Lausanne
Denis Comte: Lausanne University Hospital, University of Lausanne
Thierry Roger: Lausanne University Hospital, University of Lausanne
Jean Regina: Lausanne University Hospital, University of Lausanne
Peter Vollenweider: Lausanne University Hospital, University of Lausanne
Gerard Waeber: Lausanne University Hospital, University of Lausanne
Mauro Oddo: Lausanne University Hospital, University of Lausanne
Thierry Calandra: Lausanne University Hospital, University of Lausanne
Giuseppe Pantaleo: Lausanne University Hospital, University of Lausanne
Nature Communications, 2021, vol. 12, issue 1, 1-10
Abstract:
Abstract The objective of the present study was to identify biological signatures of severe coronavirus disease 2019 (COVID-19) predictive of admission in the intensive care unit (ICU). Over 170 immunological markers were investigated in a ‘discovery’ cohort (n = 98 patients) of the Lausanne University Hospital (LUH-1). Here we report that 13 out of 49 cytokines were significantly associated with ICU admission in the three cohorts (P
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25191-5
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DOI: 10.1038/s41467-021-25191-5
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