ROC curves of the 4 scoring systems for predicting organ failure in AP are depicted in Fig. 2. The P value, AUC, cutoff value used to classify patients into high- and low-risk groups, and the sensitivity and specificity of all variables for predicting organ failure are shown in Table 4. The mean EPIC, Balthazar, BISAP, and SIRS scores were 2.7 ± 2.3, 2.2 ± 1.1, 1.0 ± 1.0, and 5.1 ± 2.8, respectively. The median EPIC score was 2 (range: 0–7). The AUCs of the EPIC and Balthazar scores were 0.724 (P = .000, 95% CI, 0.621–0.827) and 0.561 (P = .293, 95% CI, 0.455–0.666), respectively. An EPIC score cutoff of 3 or greater had a sensitivity and specificity for predicting organ failure of 80.65% (95% CI, 62.5–92.5) and 63.16% (95% CI, 54.4–71.4), respectively. AUCs of the BISAP and SIRS scores were 0.773 (P = .000, 95% CI, 0.679–0.867) and 0.801 (P = .000, 95% CI, 0.712–0.891), respectively. The EPIC score exhibited a trend toward lower accuracy compared to the SIRS score and the BISAP score in predicting organ failure, but these differences were not significant (EPIC vs. SIRS, P = .105; EPIC vs. BISAP, P = .251). Representative CT scans from a patient with a low EPIC score and a patient with a high EPIC score are shown in Figs. 3 and 4, respectively.