Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium
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 stu...
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Elsevier
2024-12-01
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| Series: | Journal of Infection and Public Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S187603412400323X |
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| author | 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 |
| author_facet | 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 |
| author_sort | Barbara Polese |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d857e73efa547fc9cc0b77ae5a8efd3 |
| institution | DOAJ |
| issn | 1876-0341 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Infection and Public Health |
| spelling | doaj-art-5d857e73efa547fc9cc0b77ae5a8efd32025-08-20T02:48:39ZengElsevierJournal of Infection and Public Health1876-03412024-12-01171210258910.1016/j.jiph.2024.102589Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortiumBarbara Polese0Marie Ernst1Monique Henket2Benoit Ernst3Marie Winandy4Makon-Sébastien Njock5Céline Blockx6Stéphanie Kovacs7Florence Watar8Anna Julie Peired9Sara Tomassetti10Cosimo Nardi11Stéphanie Gofflot12Souad Rahmouni13James PR Schofield14Rebekah Penrice-Randal15Paul J. Skipp16Fabio Strazzeri17Erika Parkinson18Gilles Darcis19Benoit Misset20Michel Moutschen21Renaud Louis22Etienne Cavalier23Julien Guiot24Pneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumBiostatistics and Research Method Center (B-STAT), CHU Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumDepartment of Clinical Chemistry, University Hospital of Liège, Liège, BelgiumDepartment of Clinical Chemistry, University Hospital of Liège, Liège, BelgiumDepartment of Clinical and Experimental Biomedical Sciences ''Mario Serio'', University of Florence, Florence, ItalyDepartment of Clinical and Experimental Biomedical Sciences ''Mario Serio'', University of Florence, Florence, Italy; Interventional Pulmonology Unit, Careggi University Hospital, Florence, ItalyDepartment of Clinical and Experimental Biomedical Sciences, Radiodiagnostic Unit, University of Florence, Florence, ItalyBiothèque Hospitalo-Universtaire, University Hospital of Liège, Liège, BelgiumGIGA Medical Genomics - Unit of Animal Genomics, University of Liège, Liège, BelgiumTopMD Precision Medicine Ltd, United KingdomTopMD Precision Medicine Ltd, United KingdomTopMD Precision Medicine Ltd, United KingdomTopMD Precision Medicine Ltd, United KingdomTopMD Precision Medicine Ltd, United KingdomDepartment of Infectious Diseases, University Hospital of Liège, Liège, BelgiumDepartment of Intensive Care, University Hospital of Liège, Liège, BelgiumImmunology and General Internal Medecin, University Hospital of Liège and University of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, BelgiumDepartment of Clinical Chemistry, University Hospital of Liège, Liège, BelgiumPneumology Department, University Hospital of Liège and University of Liège, Liège, Belgium; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S187603412400323XCOVID-19BiomarkerDisease severityCytokines |
| spellingShingle | 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 Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium Journal of Infection and Public Health COVID-19 Biomarker Disease severity Cytokines |
| title | Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium |
| title_full | Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium |
| title_fullStr | Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium |
| title_full_unstemmed | Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium |
| title_short | Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective multicenter study of the European DRAGON consortium |
| title_sort | circulating inflammatory cytokines predict severity disease in hospitalized covid 19 patients a prospective multicenter study of the european dragon consortium |
| topic | COVID-19 Biomarker Disease severity Cytokines |
| url | http://www.sciencedirect.com/science/article/pii/S187603412400323X |
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