Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials & methods: In this study, 609 patients were evaluated retrospectively. 11 biochemical parameters were included in analysis to explain the relationship with severity of disease. Results: Nearly, all the parameters that have been evaluated in this study were statistically valuable as a predictive parameter for severe disease. Areas under the curve of blood urea nitrogen (BUN)/albumin ratio (BAR), CALL score and lymphocyte/C-reactive protein ratio were 0.795, 0.778 and 0.770. The BUN/BAR and neutrophil/albumin ratios provide important prognostic information for decision-making in severe patients with COVID-19. Conclusion: High BUN/BAR and neutrophil/albumin ratios may be a better predictor of severity COVID-19 than other routinely used parameters in admission. Graphical abstract
【저자키워드】 COVID-19, severe acute respiratory syndrome coronavirus 2, SARS-CoV-2, Biomarkers, Predictive Value of Tests, blood urea nitrogen/albumin ratio, co-morbidity-age-lymphocyte-LDH score, neutrophil/albumin ratio, 【초록키워드】 pandemic, severity, Protein, Patient, morbidity and mortality, Severity of disease, Severe patient, prognostic, information, Admission, biochemical markers, diagnose, Analysis, severe disease, Predictive, Blood urea nitrogen, Abstract, severe patients, material, parameter, the disease, evaluated, cause, explain, Area, statistically, with COVID-19, 【제목키워드】 severe COVID-19, Predictive value, Admission, biochemical marker,