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OBJECTIVES Coronavirus 2019 disease (COVID-19) lead to one of the pandemics of the last century. We aimed to predict poor prognosis among severe patients to lead early intervention. METHODS The data of 534 hospitalized patients were assessed retrospectively. Risk factors and laboratory tests that might enable the prediction of prognosis defined as being transferred to the intensive care unit and/or exitus have been investigated. RESULTS At the admission, 398 of 534 patients (74.5%) were mild-moderate ill. It was determined that the male gender, advanced age, comorbidity were risk factors for severity. In order to estimate the severity of the disease, ROC analysis revealed that the areas under the curve (AUC) which were determined based on the optimal cut off values that were calculated for the variables of values of neutrophil to lymphocyte ratio (NLR>3.69), C-reactive protein (CRP >46 mg/L), troponin I (>5.3 ng/L), lactate dehydrogenase LDH (>325 U/L), ferritin (>303 ug/L), D-dimer (>574 ug/L), neutrophil NE (> 4.99 x10 ^ 9/L), lymphocyte (LE <1.04 x10^9/L), SO2 (<%92) were 0.762, 0.757,0.742, 0.705, 0.698, 0.694,0.688, 0.678, 0.66, respectively. To predict mortality, AUC of values for optimal cut off troponin I (>7.4 ng/L), age (>62), SO2 (<%89), urea (>40 mg/dL), procalcitonin (>0.21 ug/L), CKMB (>2.6 ng/L) were 0.715, 0.685, 0.644, 0.632, 0.627, 0.617, respectively. CONCLUSIONS The clinical progress could be severe if the baseline values of NLR, CRP, troponin I, LDH, are above, LE is below the specified cut-off point. We found that the troponin I, elder age and SO2 values could predict mortality. This article is protected by copyright. All rights reserved.
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