Table 3.

Combination Biomarker-Clinical Model Discrimination

Model	C-index (95% CI)
LASSOa (20 biomarkers)	0.86 (0.83-0.89)
Random forestb (26 biomarkers)	0.84 (0.78-0.91)
Clinical modelc	0.82 (0.76-0.88)
Clinical modelc + sTNFR1	0.86 (0.81-0.92)
Clinical modelc + sTNFR2	0.85 (0.79-0.91)
Clinical modelc + admission CRP	0.82 (0.77-0.88)
Clinical modelc + sTNFR1 + admission CRP	0.87 (0.81-0.92)
Clinical modelc + sTNFR2 + admission CRP	0.85 (0.79-0.91)

CRP = C-reactive protein; LASSO = least absolute shrinkage and selection operator

a: LASSO model had 20 biomarkers with nonzero coefficients

b: Random forest includes all 26 biomarkers

c: Clinical model comprises 8 variables: age; sex; race; baseline serum creatinine; history of diabetes, hypertension or obesity; WHO disease severity score at time of sample collection