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Predictors of mortality in patients with COVID-19 by flow cytometry

Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in C...

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Detalles Bibliográficos
Autores principales: Izquierdo, Marco Bonilla, Romo, Ana María Navas, Zafra, Aurora Gema Sicilia, Garrido, Juan de Dios López-González
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918322/
https://www.ncbi.nlm.nih.gov/pubmed/38014400
http://dx.doi.org/10.1016/j.clicom.2023.02.003
Descripción
Sumario:Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in COVID-19+ patients admitted to the Hospital Universitario Reina Sofía (HURS) using flow cytometry. The cytokines measured are IL-1ß, IL-6, MCP-1, IP-10, IL-10, IL-8, IL-12, IFN-γ and TNF-α. Given the absence of previous studies on cytokine values in healthy patients using the flow cytometry technique, and the low availability of resources in the first waves of COVID-19, a control group was lacking, all resources were employed for monitoring sick patients. However, this study has revealed a greater increase in two specific cytokines, which are also found to be higher than the rest in healthy patients: MCP-1 and IP-10, which are mainly responsible for cytokine storm and post-disease thrombosis.