A 5-biomarker signature of the top-ranking Random Forest predicted biomarkers: CETP+CMTM5+MIA-MPP3-PLA2G7 showed the best discriminatory performance for SIRS and Sepsis combined with an AUC of 0.9758 (90% CI: 0.9582-0.9933) and individually for ABDM and PLMN with AUCs of 0.9842 (90% CI: 0.9864-1.00) and 0.9698 (90% CI: 0.9468-0.9928), as shown in Table 4 and Figures 6D, E. Here, PLA2G7 is linked to systemic inflammatory response syndrome.