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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.
  • Kazancioglu S; Department of Infectious Diseases and Clinical Microbiology, Ministry of Health Ankara City Hospital, Ankara, Turkey.
  • Bastug A; Department of Infectious Diseases and Clinical Microbiology, Ankara City Hospital, Health Science University Turkey, Ankara, Turkey.
  • Ozbay BO; Department of Infectious Diseases and Clinical Microbiology, Ministry of Health Ankara City Hospital, Ankara, Turkey.
  • Kemirtlek N; Department of Infectious Diseases and Clinical Microbiology, Ministry of Health Ankara City Hospital, Ankara, Turkey.
  • Bodur H; Department of Infectious Diseases and Clinical Microbiology, Ankara City Hospital, Health Science University Turkey, Ankara, Turkey.
Epidemiol Infect ; 148: e272, 2020 11 05.
Article in English | MEDLINE | ID: covidwho-960249
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Cell Count / Influenza, Human / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2020 Document Type: Article Affiliation country: S095026882000271x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Cell Count / Influenza, Human / SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2020 Document Type: Article Affiliation country: S095026882000271x