Table 3.

Model performance to predict mortality basing on the addition of biomarkers.

Model	C-statistic	95% CI	P-value
Base model (as reference)	0.891	0.866–0.916	ref
Base model + hemoglobin	0.900	0.877–0.923	0.012
Base model + leukocytes	0.907	0.884–0.929	0.001
Base model + neutrophils	0.934	0.914–0.955	< 0.001
Base model + neu-lymph ratio	0.934	0.914–0.955	< 0.001
Base model + lymph × 100 leu	0.905	0.884–0.927	0.015
Base model + GOT	0.915	0.892–0.938	0.002
Base model + GGT	0.906	0.881–0.931	0.014
Base model + creatinine	0.910	0.887–0.933	< 0.001
Base model + CRP	0.915	0.892–0.937	0.001
Base model + IL-6	0.916	0.883–0.949	0.021
Base model + procalcitonin	0.916	0.877–0.926	0.026
Base model + LDH	0.925	0.905–0.946	< 0.001
Base model + D-dimer	0.903	0.879–0.926	0.036

Model performance after the addition of different biomarker to the base model [age, comorbidities (hypertension, dyslipidemia, diabetes mellitus, peripheral artery disease, heart disease, COPD/asthma), days of symptoms, respiratory insufficiency, in-hospital drugs (antiviral, chloroquine, ceftriaxone, corticosteroids, anticoagulation, antiplatelet)].