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SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome.
Galliera, Emanuela; Massaccesi, Luca; Yu, Lina; He, Jianwen; Ranucci, Marco; Corsi Romanelli, Massimiliano M.
Afiliación
  • Galliera E; Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.
  • Massaccesi L; IRCCS Galeazzi Orthopaedic Institute, 20161 Milan, Italy.
  • Yu L; Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.
  • He J; R&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, China.
  • Ranucci M; R&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, China.
  • Corsi Romanelli MM; Department of Cardiovascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 Milan, Italy.
Biomolecules ; 12(6)2022 06 13.
Article en En | MEDLINE | ID: mdl-35740951
ABSTRACT
Since no definitive cure for COVID-19 is available so far, one of the challenges against the disease is understanding the clinical features and the laboratory inflammatory markers that can differentiate among different severity grades of the disease. The aim of the present study is a comprehensive and longitudinal evaluation of SCD14-ST and other new inflammatory markers, as well as cytokine storm molecules and current inflammatory parameters, in order to define a panel of biomarkers that could be useful for a better prognostic prediction of COVID-19 mortality. SCD14-ST, as well as the inflammatory markers IL-6, IL-10, SuPAR and sRAGE, were measured in plasma-EDTA of ICU COVID-19 positive patients. In this longitudinal study, SCD14-ST resulted significantly higher in patients who eventually died compared to those who were discharged from the ICU. The results suggest that the new infection biomarker SCD14-ST, in addition to new generation inflammatory biomarkers, such as SuPAR, sRAGE and the cytokines IL-6 and IL-10, can be a useful prognostic tool associated with canonical inflammatory parameters, such as CRP, to predict SARS-CoV-2 outcome in ICU patients.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Receptores de Lipopolisacáridos / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Receptores de Lipopolisacáridos / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article