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Neutrophil-to-Lymphocyte Ratio and Cytokine Profiling as Predictors of Disease Severity and Survival in Unvaccinated COVID-19 Patients.

Authors :
Méndez Rodríguez, Miguel Leonardo
Ponciano-Gómez, Alberto
Campos-Aguilar, Myriam
Tapia-Sánchez, Wilfrido David
Duarte-Martínez, Carlos Leonardo
Romero-Herrera, Jesús Salvador
Olivas-Quintero, Sandra
Saucedo-Campos, Alberto Daniel
Méndez-Cruz, Adolfo Rene
Jimenez-Flores, Rafael
Ortiz-Navarrete, Vianney
Romero-Ramírez, Hector
Santos-Argumedo, Leopoldo
Rosales-García, Victor Hugo
Source :
Vaccines; Aug2024, Vol. 12 Issue 8, p861, 13p
Publication Year :
2024

Abstract

Background: During the COVID-19 pandemic, identifying reliable biomarkers for predicting disease severity and patient outcomes in unvaccinated individuals is essential. This study evaluates the efficacy of key hematological markers, including leukocyte and neutrophil counts, Neutrophil-to-Lymphocyte Ratio (NLR), and cytokine profiles (IL-6, INF-γ, TNF-α, IL-17A, CCL2, and CXCL10) for predicting the necessity for mechanical ventilation and assessing survival probabilities. Methods: We conducted an in-depth analysis on a cohort of COVID-19 patients, emphasizing the relationship between NLR, cytokine profiles, and clinical outcomes, utilizing routine leukocyte counting and cytokine quantification by flow cytometry. Results: Elevated leukocyte and neutrophil counts, increased NLR, and significant cytokine elevations such as IL-6 and IL-10 were strongly associated with the need for mechanical ventilation, reflecting a pronounced systemic inflammatory response indicative of severe disease outcomes. Conclusion: Integrating hematological markers, particularly NLR and cytokine profiles, is crucial in predicting mechanical ventilation needs and survival in non-vaccinated COVID-19 patients. Our findings provide critical insights into the pathophysiology of COVID-19, supporting the development of more targeted clinical interventions and potentially informing future strategies for managing infectious disease outbreaks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2076393X
Volume :
12
Issue :
8
Database :
Complementary Index
Journal :
Vaccines
Publication Type :
Academic Journal
Accession number :
179380812
Full Text :
https://doi.org/10.3390/vaccines12080861