Laboratory Findings In Predicting Intensive Care Need And Death Of COVID-19 Patients

INTRODUCTION: The ability to predict the course of COVID-19 is very valuable in terms optimal use health resources. aim this study was examine value biochemical and hematological parameters estimation hospital stay, disease severity, likelihood death. METHODS: Routine blood analysis data confirmed cases (n=222) were collected analyzed. patients divided into 3 groups: outpatient, inpatient, requiring intensive care. RESULTS: There significant differences between groups age, lymphocyte, neutrophil, hemoglobin, hematocrit, mean corpuscular volume (MCV), red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte (NMR), platelet-to-lymphocyte (PLR), procalcitonin, C-reactive protein (CRP), D-dimer values. Univariate for mortality revealed NLR, PLR, NMR, CRP Multivariable logistic regression yielded only NMR procalcitonin A positive correlation determined length stay MPV, DISCUSSION AND CONCLUSION: neutrophil count most appropriate parameter need care (area under curve: 0.782, sensitivity: 73%, specificity: 75%, with a cutoff 4.43). values death multivariate analysis. Age, CRP, associated duration hospitalization.