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Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium

Authors :
Barbara Polese
Marie Ernst
Monique Henket
Benoit Ernst
Marie Winandy
Makon-Sébastien Njock
Céline Blockx
Stéphanie Kovacs
Florence Watar
Anna Julie Peired
Sara Tomassetti
Cosimo Nardi
Stéphanie Gofflot
Souad Rahmouni
James PR Schofield
Rebekah Penrice-Randal
Paul J. Skipp
Fabio Strazzeri
Erika Parkinson
Gilles Darcis
Benoit Misset
Michel Moutschen
Renaud Louis
Etienne Cavalier
Julien Guiot
Source :
Journal of Infection and Public Health, Vol 17, Iss 12, Pp 102589- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

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.

Details

Language :
English
ISSN :
18760341
Volume :
17
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Journal of Infection and Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.5d857e73efa547fc9cc0b77ae5a8efd3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jiph.2024.102589