DOI: 10.36347/sasjm.2023.v09i06.016

Pages: 641-645

COVID -19- has been the cause of a tremendous sanitary crisis throughout the world. The different studies that have been conducted to identify the main effectors of COVID-19, emphasized on the key role of the Cytokine Storm and the hypercoagulable state in poor outcome. This is why the analysis of the biomarkers is crucial to categorize the patients as soon as they are admitted so we can improve their medical care. A retrospective study was performed at the military hospital of Marrakesh, Morocco, which included 435 patients with COVID-19, from 1st July to 31st December. Patients were divided in severe cases (250 cases) and non-severe cases (180 cases). We explored age, sex, comorbidities presence as well as the following biomarkers: Hemoglobin, Platelet count, Leucocytes, Neutrophils, Eosinophiles, Lymphocytes, Neutrophil to Lymphocyte ratio NLR, Platelet to Lymphocyte ratio PLR and CRP. The biomarkers the showed the largest area under the curve AUC were NLR (0,909), neutrophils (0,850), CRP (0,810) PLR (0,769) and leucocytes (AUC>0.773). NLR was identified as the most performant biomarker for predicting severe outcome in COVID-19. The cut-off value displaying the greatest prediction was determined to be 3,9.