The role of haematological parameters in patients with COVID-19 and influenza virus infection
| Autor: | Hurrem Bodur, Sumeyye Kazancioglu, Bahadır Orkun Ozbay, Aliye Bastug, Nizamettin Kemirtlek |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Adolescent Coronavirus disease 2019 (COVID-19) Epidemiology Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) red blood cell Disease medicine.disease_cause Gastroenterology Virus Young Adult 03 medical and health sciences 0302 clinical medicine neutrophil-to-lymphocyte ratio Internal medicine Influenza Human medicine Humans Platelet 030212 general & internal medicine Neutrophil to lymphocyte ratio Aged Coronavirus Aged 80 and over Original Paper SARS-CoV-2 business.industry fungi COVID-19 Middle Aged platelet-to-lymphocyte ratio Blood Cell Count body regions Red blood cell 030104 developmental biology Infectious Diseases medicine.anatomical_structure Area Under Curve Case-Control Studies delta neutrophil index Female influenza business |
| Zdroj: | Epidemiology and Infection |
| ISSN: | 1469-4409 0950-2688 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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