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Author Spotlight: Unveiling the Polyfunctionality and Heterogeneity in Immune Responses
Published on: March 8, 2024
Circulating inflammatory cytokines predict severity disease in hospitalized COVID-19 patients: A prospective
Barbara Polese1, Marie Ernst2, Monique Henket1
1Pneumology Department, University Hospital of Liège and University of Liège, Liège, Belgium.
Insights
Elevated inflammatory cytokines like CXCL10, IL-4, IL-6, and MCP-1 in COVID-19 patients predict intensive care unit (ICU) admission and in-hospital mortality, highlighting their role in disease severity.
Area of Science:
- Immunology
- Infectious Diseases
- Critical Care Medicine
Background:
- COVID-19 pandemic strained global healthcare systems, necessitating intensive care resources.
- A need exists for accessible biomarkers to predict severe COVID-19 disease.
- This study aimed to identify biomarkers for predicting ICU admission and mortality.
Purpose of the Study:
- Identify biomarkers predicting intensive care unit (ICU) admission in COVID-19 patients.
- Identify biomarkers predicting in-hospital mortality in COVID-19 patients.
- Investigate the association between specific cytokines and COVID-19 disease severity.
Main Methods:
- Prospective multicenter study involving COVID-19 PCR-positive patients in Belgium and Italy.
- Blood samples collected at hospital admission; 20 potential biomarkers measured using Luminex technology.
- Logistic regression models used to identify biomarkers associated with disease severity.
Main Results:
- Elevated circulating inflammatory cytokines correlate with COVID-19 disease severity.
- CXCL10, IL-4, IL-6, and MCP-1 levels predicted ICU admission.
- Elevated IL-6 and MCP-1 levels were associated with in-hospital mortality.
Conclusions:
- Elevated and correlated inflammatory cytokines at hospital admission predict COVID-19 severity.
- These findings suggest SARS-CoV-2 infection induces dysregulated inflammation.
- Biomarkers like IL-6 and MCP-1 may aid in early risk stratification for severe COVID-19.
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.
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