Neutrophil-to-lymphocyte ratio and mean platelet volume in the diagnosis of bacterial infections in COVID-19 patients. A preliminary analysis from Ecuador
Autor: | Jorge Luis, Vélez-Páez, Wendy, Tercero-Martínez, Glenda, Jiménez-Alulima, Johanna, Navarrete-Domínguez, Luis, Cornejo-Loor, Christian, Castro-Bustamante, Miguel, Cabanillas-Lazo, Joshuan J, Barboza, Alfonso J, Rodriguez-Morales |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Infez Med |
ISSN: | 2532-8689 1124-9390 |
Popis: | INTRODUCTION: Hospitalized COVID-19 patients are at risk of hospital infection. The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-C-reactive protein ratio (LCR) and mean platelet volume (MPV) are established inflammation markers reflecting the systemic inflammatory response. The objective of this study was to evaluate the clinical characteristics of patients with COVID-19 and bacterial co-infections, as well as the correlation with NLR and MPV. METHODS: We assessed the role of the NLR and MPV in diagnosing bacterial infections in COVID-19 patients. The Wilcoxon test was used to compare the mean NLR and MPV between the diagnostic evaluation moments, while the Mann-Whitney test was used to compare NLR and MPV by sex and age. RESULTS: The NLR was compared three days before the culture and the day of taking the culture, observing significant differences (p=0.020). MPV three days before the culture and the day of the culture were compared, also observing significant differences (p=0.031). NLR and MPV were compared at the different evaluation times according to sex and age group, observing for the age group significant differences for the NLR three days before the culture (p=0.004). CONCLUSION: In our study, there were significant differences in NLR and MPV between the three days before culture and the day of culture. It is advisable to continue to enrol more patients in the study so that in the future, we can add results on the diagnostic accuracy of the NLR and MPV in the timely diagnosis of bacterial infection in patients with COVID-19. |
Databáze: | OpenAIRE |
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