CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative...
CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative inflammatory biomarkers in an observational study
About this item
Full title
Author / Creator
Lorè, Nicola I. , De Lorenzo, Rebecca , Rancoita, Paola M. V. , Cugnata, Federica , Agresti, Alessandra , Benedetti, Francesco , Bianchi, Marco E. , Bonini, Chiara , Capobianco, Annalisa , Conte, Caterina , Corti, Angelo , Furlan, Roberto , Mantegani, Paola , Maugeri, Norma , Sciorati, Clara , Saliu, Fabio , Silvestri, Laura , Tresoldi, Cristina , Farina, Nicola , De Filippo, Luigi , Battista, Marco , Grosso, Domenico , Gorgoni, Francesca , Di Biase, Carlo , Moretti, Alessio Grazioli , Granata, Lucio , Bonaldi, Filippo , Bettinelli, Giulia , Delmastro, Elena , Salvato, Damiano , Magni, Giulia , Avino, Monica , Betti, Paolo , Bucci, Romina , Dumoa, Iulia , Bossolasco, Simona , Morselli, Federica , Ciceri, Fabio , Rovere-Querini, Patrizia , Di Serio, Clelia , Cirillo, Daniela M. , Manfredi, Angelo A. and Bio Angels for COVID-BioB Study Group
Publisher
London: Springer
Journal title
Language
English
Formats
Publication information
Publisher
London: Springer
Subjects
More information
Scope and Contents
Contents
Background Host inflammation contributes to determine whether SARS-CoV-2 infection causes mild or life-threatening disease. Tools are needed for early risk assessment. Methods We studied in 111 COVID-19 patients prospectively followed at a single reference Hospital fifty-three potential biomarkers including alarmins, cytokines, adipocytokines and g...
Alternative Titles
Full title
CXCL10 levels at hospital admission predict COVID-19 outcome: hierarchical assessment of 53 putative inflammatory biomarkers in an observational study
Authors, Artists and Contributors
Author / Creator
De Lorenzo, Rebecca
Rancoita, Paola M. V.
Cugnata, Federica
Agresti, Alessandra
Benedetti, Francesco
Bianchi, Marco E.
Bonini, Chiara
Capobianco, Annalisa
Conte, Caterina
Corti, Angelo
Furlan, Roberto
Mantegani, Paola
Maugeri, Norma
Sciorati, Clara
Saliu, Fabio
Silvestri, Laura
Tresoldi, Cristina
Farina, Nicola
De Filippo, Luigi
Battista, Marco
Grosso, Domenico
Gorgoni, Francesca
Di Biase, Carlo
Moretti, Alessio Grazioli
Granata, Lucio
Bonaldi, Filippo
Bettinelli, Giulia
Delmastro, Elena
Salvato, Damiano
Magni, Giulia
Avino, Monica
Betti, Paolo
Bucci, Romina
Dumoa, Iulia
Bossolasco, Simona
Morselli, Federica
Ciceri, Fabio
Rovere-Querini, Patrizia
Di Serio, Clelia
Cirillo, Daniela M.
Manfredi, Angelo A.
Bio Angels for COVID-BioB Study Group
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_719121550cd340cba9c29a2f076bbd02
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_719121550cd340cba9c29a2f076bbd02
Other Identifiers
ISSN
1076-1551
E-ISSN
1528-3658
DOI
10.1186/s10020-021-00390-4
