Prognostic bioindicators in severe COVID-19 patients.


Journal

Cytokine
ISSN: 1096-0023
Titre abrégé: Cytokine
Pays: England
ID NLM: 9005353

Informations de publication

Date de publication:
05 2021
Historique:
received: 06 07 2020
revised: 17 01 2021
accepted: 18 01 2021
pubmed: 7 2 2021
medline: 30 3 2021
entrez: 6 2 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33548798
pii: S1043-4666(21)00035-1
doi: 10.1016/j.cyto.2021.155455
pmc: PMC7843114
pii:
doi:

Substances chimiques

Biomarkers 0
C-Peptide 0
Cytokines 0
IL6 protein, human 0
Inflammation Mediators 0
Interleukin-6 0
MUC1 protein, human 0
Mucin-1 0
C-Reactive Protein 9007-41-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155455

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Références

Minerva Med. 2021 Jun;112(3):423-426
pubmed: 32407057
Eur J Clin Invest. 2020 Apr 20;:e13242
pubmed: 32307698
Br J Haematol. 2020 May;189(3):428-437
pubmed: 32297671
Nat Commun. 2021 Mar 9;12(1):1533
pubmed: 33750783
J Med Virol. 2020 Oct;92(10):2216-2220
pubmed: 32470148
JCI Insight. 2020 May 21;5(10):
pubmed: 32324595
J Leukoc Biol. 2021 Jan;109(1):115-120
pubmed: 32794348
Diabetes Metab J. 2020 Aug;44(4):602-613
pubmed: 32794386
Eur J Hum Genet. 2021 May;29(5):745-759
pubmed: 33456056
Int J Med Sci. 2020 Jul 25;17(13):2052-2062
pubmed: 32788884
J Intensive Care. 2020 Apr 24;8:29
pubmed: 32341785
Int J Antimicrob Agents. 2020 May;55(5):105954
pubmed: 32234467
J Med Virol. 2021 Feb;93(2):657
pubmed: 32797640
Sci Rep. 2020 Oct 16;10(1):17524
pubmed: 33067568
N Engl J Med. 2020 Apr 30;382(18):1708-1720
pubmed: 32109013
Inflammation. 2014 Feb;37(1):10-6
pubmed: 23912648
J Med Virol. 2020 Oct;92(10):1789-1790
pubmed: 32297995
Mol Cell Proteomics. 2020 Nov;19(11):1749-1759
pubmed: 32788344
Cytokine. 2020 Sep;133:155143
pubmed: 32460144
Biosci Trends. 2020 Sep 21;14(4):290-296
pubmed: 32565512
J Med Virol. 2021 Jan;93(1):158-160
pubmed: 32633842
J Microbiol Biotechnol. 2020 Mar 28;30(3):313-324
pubmed: 32238757
Clin Infect Dis. 2020 Nov 5;71(8):1937-1942
pubmed: 32301997
Clin Med (Lond). 2020 Mar;20(2):124-127
pubmed: 32139372
Am J Hematol. 2020 Jul;95(7):834-847
pubmed: 32282949
Med Mal Infect. 2020 Jun;50(4):332-334
pubmed: 32243911
J Clin Invest. 2020 May 1;130(5):2202-2205
pubmed: 32217834
Clin Transl Sci. 2020 Nov;13(6):1077-1086
pubmed: 32315487
J Clin Pathol. 2021 Nov;74(11):750-751
pubmed: 33067181
Respir Investig. 2020 Jan;58(1):21-27
pubmed: 31708467
Respir Investig. 2019 May;57(3):290-291
pubmed: 30799155
J Autoimmun. 2020 May;109:102433
pubmed: 32113704
Clin Chem Lab Med. 2020 Sep 25;58(10):e229-e231
pubmed: 31926075
J Proteome Res. 2020 Nov 6;19(11):4417-4427
pubmed: 32786691
Intern Emerg Med. 2021 Sep;16(6):1541-1545
pubmed: 33453011
Infect Genet Evol. 2020 Nov;85:104502
pubmed: 32798769
Biomark Med. 2020 Jun;14(8):665-674
pubmed: 32613855
Cytokine. 2020 Sep;133:155144
pubmed: 32559663
Front Immunol. 2020 Jul 21;11:1714
pubmed: 32793244
Proteomics Clin Appl. 2014 Dec;8(11-12):932-50
pubmed: 25169739
PLoS One. 2020 Nov 18;15(11):e0242534
pubmed: 33206719
Infect Dis Ther. 2020 Dec;9(4):707-713
pubmed: 32789663
Clin Exp Med. 2020 May;20(2):207-216
pubmed: 31970550
Front Immunol. 2020 Sep 02;11:2132
pubmed: 32983172
Cell Host Microbe. 2020 Jun 10;27(6):992-1000.e3
pubmed: 32320677
Int J Infect Dis. 2020 Jun;95:332-339
pubmed: 32334118
Int J Biol Sci. 2012;8(9):1227-36
pubmed: 23136551
Cytokine. 2020 Sep;133:155151
pubmed: 32544563

Auteurs

L Bergantini (L)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy. Electronic address: laurabergantini@gmail.com.

E Bargagli (E)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.

M d'Alessandro (M)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.

R M Refini (RM)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.

P Cameli (P)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.

L Galasso (L)

Clinical Pathology Unit, Innovation, Experimentation and Clinical and Translational Research Department, University Hospital of Siena, Siena, Italy.

C Scapellato (C)

Clinical Pathology Unit, Innovation, Experimentation and Clinical and Translational Research Department, University Hospital of Siena, Siena, Italy.

F Montagnani (F)

Department of Medical Biotechnologies, University of Siena, Italy; Infectious and Tropical Diseases Unit, Department of Medical Science, Siena University Hospital, Italy.

S Scolletta (S)

Anaesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

F Franchi (F)

Anaesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

S Valente (S)

Department of Cardiovascular Diseases, University of Siena, Siena, Italy.

D Bennett (D)

Respiratory Diseases and Lung Transplant Unit, Department of Medical and Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy.

G Sebastiani (G)

Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena and Fondazione Umberto Di Mario ONLUS-Toscana Life Science Park, Siena, Italy.

B Frediani (B)

Rheumatology Unit, Department of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy.

F Dotta (F)

Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena and Fondazione Umberto Di Mario ONLUS-Toscana Life Science Park, Siena, Italy.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH