Fig. 3

The efficacy of prediction models for AKI with different composite inflammatory biomarkers. A In the model with MLPR alone, the AUC value was 0.740. With the progressive enrollment of variables, the AUC values increased from 0.846, 0.861 to 0.866. B The Delong test revealed that the AUC of the full model with MLPR was significantly higher than that of the full model without MLPR (AUC: 0.866 vs. 0.822, Z = 4.009, P < 0.001). C In validation cohort, the AUC of full model reached 0.899. D In the model with NLPR alone, the AUC value was 0.740. With the progressive enrollment of variables, the AUC values increased from 0.850, 0.865 to 0.869. E The Delong test revealed that the AUC of the full model with NLPR was significantly higher than that of the full model without NLPR (AUC: 0.869 vs. 0.822, Z = 4.377, P < 0.001). F In validation cohort, the AUC of full model reached 0.906