Prognostic bioindicators in severe COVID-19 patients.
In: Cytokine, Jg. 141 (2021-05-01), S. 155455
academicJournal
Zugriff:
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.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
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Prognostic bioindicators in severe COVID-19 patients.
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Autor/in / Beteiligte Person: | Bergantini, L ; Bargagli, E ; d'Alessandro, M ; Refini, RM ; Cameli, P ; Galasso, L ; Scapellato, C ; Montagnani, F ; Scolletta, S ; Franchi, F ; Valente, S ; Bennett, D ; Sebastiani, G ; Frediani, B ; Dotta, F |
Zeitschrift: | Cytokine, Jg. 141 (2021-05-01), S. 155455 |
Veröffentlichung: | <2001- > : Oxford : Elsevier Science Ltd. ; <i>Original Publication</i>: [Philadelphia, PA] : Saunders Scientific Publications, W.B. Saunders, [c1989-, 2021 |
Medientyp: | academicJournal |
ISSN: | 1096-0023 (electronic) |
DOI: | 10.1016/j.cyto.2021.155455 |
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