Fig. 7.

ROC analysis showed the prediction accuracy of sepsis death using a SOFA scores. b APACHE II scores. c DRMPs in the validation cohort. The multi-biomarkers used for ROC analysis were isoleucine (amino acid), alanine (amino acid), acetylcarnitine (mitochondrial metabolism), lactic acid (mitochondrial metabolism), pyruvic acid (mitochondrial metabolism), LysoPG (22:0) (lysophospholipids metabolism), and LysoPC (24:0). The ROC curve was generated by Monte Carlo cross-validation of random forest models. Repeated random cross-validation (rdCV) and permutation test were used for internal validation of the classification model