Article (Scientific journals)
Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: a prospective multicenter study of the European DRAGON consortium
Polese, Barbara; Ernst, Marie; Henket, Monique et al.
2024In Journal of Infection and Public Health, p. 102589
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Keywords :
COVID-19; Biomarker; Disease severity; Cytokines
Abstract :
[en] Background: COVID-19 has put a huge strain on the healthcare systems worldwide, requiring unprecedented intensive care resources. There is still an unmet clinical need for easily available biomarkers capable of predicting the risk for severe disease. The main goal of this prospective multicenter study was to identify biomarkers that could predict ICU admission and in-hospital mortality. Methods: We prospectively recruited COVID-19 PCR positive patients in two hospitals, in Belgium and Italy. Blood samples were collected at hospital admission and 20 potential biomarkers were measured with the Luminex technology. Logistic regression models were performed to identify the biomarkers that, alone or together, were associated with patient disease severity. Results: Our study demonstrates that elevated levels of circulating inflammatory cytokines were associated with disease severity in COVID-19 hospitalized patients. CXCL10, IL-4, IL-6 and MCP-1 values were predictive of ICU admission. Elevated levels of IL-6 and MCP-1 were also associated with in hospital death in COVID-19 hospitalized patients. Conclusion: Altogether, elevated and correlated inflammatory cytokines in the blood of COVID-19 patients at hospital admission are predictive of disease severity and suggest a dysregulated inflammation induced by SARS-CoV-2 infection.
Disciplines :
Cardiovascular & respiratory systems
Author, co-author :
Polese, Barbara  ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques
Ernst, Marie  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service des informations médico économiques (SIME)
Henket, Monique  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Ernst, Benoit  ;  Université de Liège - ULiège > GIGA > GIGA I3 - Pneumology
Winandy, Marie-Laurence  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de toxicologie clinique, médicolégale, environnementale et en entreprise
Njock, Makon-Sébastien  ;  Université de Liège - ULiège > GIGA > GIGA I3 - Pneumology
BLOCKX, Céline ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
KOVACS, Stéphanie ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de chimie clinique
WATAR, Florence ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de chimie clinique
Peired, Anna Julie ;  UniFI - University of Florence > Department of Clinical and Experimental Biomedical Sciences "Mario Serio"
Tomassetti, Sara;  UniFI - University of Florence > Department of Clinical and Experimental Biomedical Sciences "Mario Serio"
Nardi, Cosimo ;  UniFI - University of Florence > Department of Clinical and Experimental Biomedical Sciences > Radiodiagnostic Unit
Gofflot, Stéphanie  ;  Université de Liège - ULiège > Département des sciences de la santé publique
Rahmouni, Souad  ;  Université de Liège - ULiège > GIGA > GIGA Medical Genomics - Unit of Animal Genomics
Schofield, James PR;  TopMD Precision Medicine Ltd
Penrice-Randa, Rebekah;  TopMD Precision Medicine Ltd
Skipp, Paul J;  TopMD Precision Medicine Ltd
Strazzeri, Fabio ;  TopMD Precision Medicine Ltd
Parkinson, Erika ;  TopMD Precision Medicine Ltd
Darcis, Gilles  ;  Université de Liège - ULiège > Département des sciences de la santé publique
Misset, Benoît  ;  Université de Liège - ULiège > Département des sciences cliniques > Soins intensifs
Moutschen, Michel  ;  Université de Liège - ULiège > GIGA > GIGA I3 - Immunology & Infectious Diseases
Louis, Renaud ;  Université de Liège - ULiège > Département des sciences cliniques > Pneumologie - Allergologie
Cavalier, Etienne  ;  Université de Liège - ULiège > Département de pharmacie > Chimie médicale
Guiot, Julien  ;  Université de Liège - ULiège > Département des sciences cliniques > Pneumologie - Allergologie
More authors (15 more) Less
Language :
English
Title :
Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: a prospective multicenter study of the European DRAGON consortium
Publication date :
November 2024
Journal title :
Journal of Infection and Public Health
ISSN :
1876-0341
eISSN :
1876-035X
Publisher :
Elsevier BV
Pages :
102589
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Fonds Léon Fredericq
EFPIA - European Federation of Pharmaceutical Industries and Associations
Funding number :
101005122; The DRAGON project has received funding from the InnovativeMedicines Initiative 2 Joint Undertaking (JU) under grant agreementNo 101005122. The JU receives support from the European Union’sHorizon 2020 research and innovation program and EFPIA. Thispublication reflects the author’s view. Neither IMI nor the EuropeanUnion, EFPIA or the DRAGON consortium, are responsible for any use that may be made of the information contained therein. This workwas also supported by a Leon Fredericq Foundation grant.
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since 19 December 2024

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