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Predictive biomarkers of mortality in patients with severe COVID-19 hospitalized in intensive care unit.

Authors :
Ramos dos Santos Medeiros, Sandrelli Meridiana de Fátima
Nepomuceno Sousa Lino, Bruna Maria
Pietta Perez, Vinícius
Soares Sousa, Eduardo Sérgio
Helena Campana, Eloiza
Miyajima, Fábio
Veloso Carvalho-Silva, Wlisses Henrique
Dejani, Naiara Naiana
de Sousa Fernandes, Matheus Santos
Yagin, Fatma Hilal
Al-Hashem, Fahaid
Elkholi, Safaa M.
Alyami, Hanan
Oliveira Souto, Fabrício
Source :
Frontiers in Immunology; 2024, p1-12, 12p
Publication Year :
2024

Abstract

Objectives: This study was performed to identify predictive markers of worse outcomes in patients with severe COVID-19 in an intensive care unit. Methods: Sixty patients with severe COVID-19, hospitalized in the Intensive Care Unit (ICU) between March and July 2021, were stratified into two groups according to the outcome survivors and non-survivors. After admission to the ICU, blood samples were collected directly for biomarker analysis. Routine hematological and biochemical biomarkers, as well as serum levels of cytokines, chemokines, and immunoglobulins, were investigated. Results: Lymphopenia, neutrophilia, and thrombocytopenia were more pronounced in non-surviving patients, while the levels of CRP, AST, creatinine, ferritin, AST, troponin I, urea, magnesium, and potassium were higher in the non-surviving group than the survival group. In addition, serum levels of IL-10, CCL2, CXCL9, and CXCL10 were significantly increased in patients who did not survive. These changes in the biomarkers evaluated were associated with increased mortality in patients with severe COVID-19. Conclusion: The present study confirmed and expanded the validity of laboratory biomarkers as indicators of mortality in severe COVID-19. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16643224
Database :
Complementary Index
Journal :
Frontiers in Immunology
Publication Type :
Academic Journal
Accession number :
179678416
Full Text :
https://doi.org/10.3389/fimmu.2024.1416715