Could we predict the prognosis of the COVID‐19 disease?

Objectives Coronavirus 2019 disease (COVID-19) lead to one of the pandemics last century. We aimed predict poor prognosis among severe patients early intervention. Methods The data 534 hospitalized were assessed retrospectively. Risk factors and laboratory tests that might enable prediction defined as being transferred intensive care unit and/or exitus have been investigated. Results At admission, 398 (74.5%) mild-moderate ill. It was determined male gender, advanced age, comorbidity risk for severity. To estimate severity disease, receiver operating characteristic analysis revealed areas under curve which based on optimal cut off values calculated variables neutrophil 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 μg/L), NE 4.99 × 109/L), (LE < 1.04 SO2 %92) 0.762, 0.757,0.742, 0.705, 0.698, 0.694,0.688, 0.678, 0.66, respectively. mortality, AUC cutoff 7.4 age 62), %89), urea 40 mg/dL), procalcitonin 0.21 CKMB 2.6 ng/L) 0.715, 0.685, 0.644, 0.632, 0.627, 0.617, Conclusions clinical progress could be if baseline NLR, CRP, I, LDH, are above, LE is below specified cut-off point. found elder mortality.