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The role of haematological parameters in patients with COVID-19 and influenza virus infection

SARS-CoV-2, the causative agent of coronavirus disease 19 (COVID-19), was identified in Wuhan, China. Since then, the novel coronavirus started to be compared to influenza. The haematological parameters and inflammatory indexes are associated with severe illness in COVID-19 patients. In this study,...

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Autores principales: Kazancioglu, Sumeyye, Bastug, Aliye, Ozbay, Bahadir Orkun, Kemirtlek, Nizamettin, Bodur, Hurrem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683813/
https://www.ncbi.nlm.nih.gov/pubmed/33148349
http://dx.doi.org/10.1017/S095026882000271X
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author Kazancioglu, Sumeyye
Bastug, Aliye
Ozbay, Bahadir Orkun
Kemirtlek, Nizamettin
Bodur, Hurrem
author_facet Kazancioglu, Sumeyye
Bastug, Aliye
Ozbay, Bahadir Orkun
Kemirtlek, Nizamettin
Bodur, Hurrem
author_sort Kazancioglu, Sumeyye
collection PubMed
description SARS-CoV-2, the causative agent of coronavirus disease 19 (COVID-19), was identified in Wuhan, China. Since then, the novel coronavirus started to be compared to influenza. The haematological parameters and inflammatory indexes are associated with severe illness in COVID-19 patients. In this study, the laboratory data of 120 COVID-19 patients, 100 influenza patients and 61 healthy controls were evaluated. Lower lymphocytes, eosinophils, basophils, platelets and higher delta neutrophil index (DNI), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were found in COVID-19 and influenza groups compared to healthy controls. The eosinophils, lymphocytes and PLR made the highest contribution to differentiate COVID-19 patients from healthy controls (area under the curves (AUCs): 0.819, 0.817 and 0.716, respectively; P-value is <0.0001 for all). The NLR, the optimal cut-off value was 3.58, which resulted in a sensitivity of 30.8 and a specificity of 100 (AUC: 0.677, P < 0.0001). Higher leucocytes, neutrophils, DNI, NLR, PLR and lower lymphocytes, red blood cells, haemoglobin, haematocrit levels were found in severe patients at the end of treatment. Nonsevere patients showed an upward trend for lymphocytes, eosinophils and platelets, and a downward trend for neutrophils, DNI, NLR and PLR. However, there was an increasing trend for eosinophils, platelets and PLR in severe patients. In conclusion, NLR and PLR can be used as biomarkers to distinguish COVID-19 patients from healthy people and to predict the severity of COVID-19. The increasing value of PLR during follow-up may be more useful compared to NLR to predict the disease severity.
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spelling pubmed-76838132020-11-24 The role of haematological parameters in patients with COVID-19 and influenza virus infection Kazancioglu, Sumeyye Bastug, Aliye Ozbay, Bahadir Orkun Kemirtlek, Nizamettin Bodur, Hurrem Epidemiol Infect Original Paper SARS-CoV-2, the causative agent of coronavirus disease 19 (COVID-19), was identified in Wuhan, China. Since then, the novel coronavirus started to be compared to influenza. The haematological parameters and inflammatory indexes are associated with severe illness in COVID-19 patients. In this study, the laboratory data of 120 COVID-19 patients, 100 influenza patients and 61 healthy controls were evaluated. Lower lymphocytes, eosinophils, basophils, platelets and higher delta neutrophil index (DNI), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were found in COVID-19 and influenza groups compared to healthy controls. The eosinophils, lymphocytes and PLR made the highest contribution to differentiate COVID-19 patients from healthy controls (area under the curves (AUCs): 0.819, 0.817 and 0.716, respectively; P-value is <0.0001 for all). The NLR, the optimal cut-off value was 3.58, which resulted in a sensitivity of 30.8 and a specificity of 100 (AUC: 0.677, P < 0.0001). Higher leucocytes, neutrophils, DNI, NLR, PLR and lower lymphocytes, red blood cells, haemoglobin, haematocrit levels were found in severe patients at the end of treatment. Nonsevere patients showed an upward trend for lymphocytes, eosinophils and platelets, and a downward trend for neutrophils, DNI, NLR and PLR. However, there was an increasing trend for eosinophils, platelets and PLR in severe patients. In conclusion, NLR and PLR can be used as biomarkers to distinguish COVID-19 patients from healthy people and to predict the severity of COVID-19. The increasing value of PLR during follow-up may be more useful compared to NLR to predict the disease severity. Cambridge University Press 2020-11-05 /pmc/articles/PMC7683813/ /pubmed/33148349 http://dx.doi.org/10.1017/S095026882000271X Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Kazancioglu, Sumeyye
Bastug, Aliye
Ozbay, Bahadir Orkun
Kemirtlek, Nizamettin
Bodur, Hurrem
The role of haematological parameters in patients with COVID-19 and influenza virus infection
title The role of haematological parameters in patients with COVID-19 and influenza virus infection
title_full The role of haematological parameters in patients with COVID-19 and influenza virus infection
title_fullStr The role of haematological parameters in patients with COVID-19 and influenza virus infection
title_full_unstemmed The role of haematological parameters in patients with COVID-19 and influenza virus infection
title_short The role of haematological parameters in patients with COVID-19 and influenza virus infection
title_sort role of haematological parameters in patients with covid-19 and influenza virus infection
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683813/
https://www.ncbi.nlm.nih.gov/pubmed/33148349
http://dx.doi.org/10.1017/S095026882000271X
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