Sensitivity, specificity, accuracy, positive

predictive value (PPV), negative predictive value (NPV), and positive likelihood ratio (LR+) of all clinical scores in prediction of SAP and mortality were calculated. Results: There were 372 patients with acute pancreatitis. SAP developed in 39 (10.5%) and mortality developed in 11 (3.0%). Predicted severe pancreatitis were 28.6%, 33.0%, 24.4%, and 49.2% by BISAP (≥2), Ranson (≥3), APACHE-II (≥8), and CTSI (≥3), respectively. FDA-approved Drug Library molecular weight BISAP had comparable sensitivity in predicting SAP and mortality compare to Ranson score. BISAP had highest LR+ in predicting SAP. All scores had high NPV (99–100%) in predicting mortality (table 1). Conclusion: With the prevalence of SAP of 10.5%, BISAP does not perform better than Ranson score in predicting severity and mortality of acute pancreatitis, its use is more practical without a need for 48-hour-waiting time. Key Word(s): 1. Acute pancreatitis; 2. BISAP; 3. Predicted severity; % (95% CI) Sensitivity Specificity PPV NPV Accuracy LR+ Post-test probability Severity BISAP ≥ 2 79.0% 77.2% 28.6% 97.0% 77.38% 3.46 28.56% (74.8–83.1%) (72.9–81.5%) (24.0–34.2%) (95.2–98.7%) Ranson 83.3% 73.5% 29.1% 97.1% 74.60% 3.14 29.14% (79.2–87.5%) (68.6–78.4%)

(24.1–33.2%) (95.3–99.0%) APACHE-II 63.2% 80.2% 27.3% 94.9% 78.39% 3.19 27.28% (58.2–68.1%) (76.1–84.3) (22.7–31.9%) (92.6-97.2%) CTSI 66.7% 56.0% 31.3% 84.6% 58.46% 1.52 31.25% (55.2–78.1%) (43.9–68.1%) (20.0–42.5%) (76.1–93.6%) Idasanutlin datasheet Mortality BISAP ≥ 2 81.8% 73.0% 8.6% 99.2% 73.30% 3.03

Nintedanib (BIBF 1120) 8.58% (77.9–85.8%) (68.5–77.6%) (5.7–11.4%) (98.4–100.1%) Ranson 88.9% 68.7% 7.8% 99.5% 69.23% 2.84 7.76% (85.4–92.4%) (63.5–73.8%) (4.8–10.7%) (98.8–100.3%) APACHE-II 81.8% 77.4% 10.2% 99.3% (77.8–85.8%) (73.1–81.7%) (7.1–13.4%) (98.4–100.2%) 77.56% 3.62 9.71% CTSI 100% 51.56% 3.13% 100% 52.31% 2.06 3.13% (100–100%) (39.4–63.7%) (−1.1–7.4%) (100–100%) Presenting Author: WENHUA HE Additional Authors: PI LIU, YONG ZHU, HAO ZENG, LIANG XIA, YOUXIANG CHEN, NONGHUA LU Corresponding Author: WENHUA HE, NONGHUA LU Affiliations: Department of Gastroenterology, The First Affiliated Hospital of Nanchang University,; Department of Gastroenterology, The First Affiliated Hospital of Nanchang University Objective: Clinical studies of acute pancreatitis need to collect and analyze large amounts of clinical data, the establishment of professional diseases database can improve the efficiency of clinical research. The purpose of this study is based on the revised atlanta classification of acute pancreatitis, design an automatic scoring, automatic diagnosis of AP database. Methods: The acute pancreatitis database was established by Epi Info7 software, a free of charge and can be downloaded from the Centers for Disease Control and Prevention (CDC).