Frontiers in Immunology (Feb 2021)

Interleukin-6 Is a Biomarker for the Development of Fatal Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia

  • André Santa Cruz,
  • André Santa Cruz,
  • André Santa Cruz,
  • Ana Mendes-Frias,
  • Ana Mendes-Frias,
  • Ana Isabel Oliveira,
  • Luís Dias,
  • Luís Dias,
  • Luís Dias,
  • Ana Rita Matos,
  • Alexandre Carvalho,
  • Alexandre Carvalho,
  • Alexandre Carvalho,
  • Carlos Capela,
  • Carlos Capela,
  • Carlos Capela,
  • Jorge Pedrosa,
  • Jorge Pedrosa,
  • António Gil Castro,
  • António Gil Castro,
  • Ricardo Silvestre,
  • Ricardo Silvestre

DOI
https://doi.org/10.3389/fimmu.2021.613422
Journal volume & issue
Vol. 12

Abstract

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Hyper-inflammatory responses induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a major cause of disease severity and death. Predictive prognosis biomarkers to guide therapeutics are critically lacking. Several studies have indicated a “cytokine storm” with the release of interleukin-1 (IL-1), IL-6, and IL-8, along with tumor necrosis factor alpha (TNFα) and other inflammatory mediators. Here, we proposed to assess the relationship between IL-6 and outcomes of patients with coronavirus disease 2019 (COVID-19). Our cohort consisted of 46 adult patients with PCR-proven SARS-CoV-2 infection admitted in a COVID-19 ward of the Hospital de Braga (HB) from April 7 to May 7, 2020, whose IL-6 levels were followed over time. We found that IL-6 levels were significantly different between the disease stages. Also, we found a significant negative correlation between IL-6 levels during stages IIb and III, peripheral oxygen saturation (SpO2), and partial pressure of oxygen in arterial blood (PaO2), showing that IL-6 correlates with respiratory failure. Compared to the inflammatory markers available in the clinic routine, we found a positive correlation between IL-6 and C-reactive protein (CRP). However, when we assessed the predictive value of these two markers, IL-6 behaves as a better predictor of disease progression. In a binary logistic regression, IL-6 level was the most significant predictor of the non-survivors group, when compared to age and CRP. Herein, we present IL-6 as a relevant tool for prognostic evaluation, mainly as a predictor of outcome.

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