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Prognostic bioindicators in severe COVID-19 patients

Authors :
Rosa Metella Refini
L. Galasso
Guido Sebastiani
Laura Bergantini
Francesco Dotta
Sabino Scolletta
C. Scapellato
Bruno Frediani
Francesca Montagnani
Serafina Valente
Paolo Cameli
Miriana d'Alessandro
David Bennett
Federico Franchi
Elena Bargagli
Source :
Cytokine
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Background Severe acute respiratory syndrome caused by novel coronavirus 2 (SARS-CoV-2) emerged in Wuhan (China) in December 2019. Here we evaluated a panel of biomarkers to phenotype patients and to define the role of immuno-inflammatory mediators as biomarkers of severity. Materials and methods Serum samples were obtained from 24 COVID-19 patients on admission to hospital, before any treatment or infusion of intravenous steroids or invasive ventilation. KL-6 IL-6 and C-peptide were measured by chemiluminescent enzyme immunoassay. IL-6 assay was validated for accuracy and precision. The validity of variables used to distinguish severe from mild-to-moderate patients was assessed by areas under curves (AUC) of the receiver operating characteristic (ROC) and logistic regression was performed to combine parameters of the two groups. Results In the severe group, IL-6, CRP and KL-6 concentrations were significantly higher than in mild-to-moderate patients. KL-6, IL-6 and CRP concentrations were directly correlated with each other. ROC curve analysis of the logistic regression model including IL-6, KL-6 and CRP showed the best performance with an AUC of 0.95. Conclusions Besides corroborating previous reports of over-expression of IL-6 in severe COVID-19 patients requiring mechanical ventilation, analytical determination of other mediators showed that IL-6 concentrations were correlated with those of KL-6 and CRP. The combination of these three prognostic bioindicators made it possible to distinguish severe COVID-19 patients with poor prognosis from mild-to-moderate patients.

Details

ISSN :
10434666
Volume :
141
Database :
OpenAIRE
Journal :
Cytokine
Accession number :
edsair.doi.dedup.....77bd0bddc8779906a16624db0ec13857