Man Li1, Xiao-Kang Xing1, Zhi-Hua Lu1, Feng Guo2, Wei Su1, Yong-Jun Lin1, Dong-Hai Wang1. 1. Department of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China. 2. Department of Critical Care Medicine, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, 3 East Qingchun Road, Hangzhou, 310016, China. 3408003@zju.edu.cn.
Abstract
BACKGROUND: In China, hyperlipidemia is the second major reason of acute pancreatitis. AIMS: Comparison of Scoring Systems in identification patients at risk for severe acute pancreatitis (SAP), pancreatic necrosis (PNec), and infected pancreatic necrosis (IPN) early in the course of hypertriglyceridemia-induced acute pancreatitis (HTG-AP). METHODS: Predictive accuracy of scoring systems was measured by the area under the receiver operating characteristic curve (AUC) in a retrospective study. Pairwise AUC comparisons were performed to calculate the difference between scoring systems. RESULTS: A total of 238 patients diagnosed with HTG-AP were included. Sixty patients (25.2%) were classified as SAP. Twenty-nine patients (12.2%) had evidence of PNec. Nine patients (3.8%) were diagnosed with IPN. One patient (0.4%) died during hospitalization. In predicting SAP in HTG-AP, the AUCs of APACHE-II, SOFA, SIRS, Ranson's, BISAP, and MMS were 0.77, 0.83, 0.73, 0.88, 0.83, and 0.85, respectively; in predicting PNec, were 0.75, 0.77, 0.75, 0.86, 0.80, and 0.75, respectively; and in predicting IPN, were 0.92, 0.86, 0.76, 0.85, 0.84, and 0.87, respectively. Pairwise AUC comparisons revealed that Ranson's, MMS, BISAP, and SOFA had higher accuracy than SIRS, Ranson's and MMS had higher accuracy than APACHE-II in predicting SAP; Ranson's had the same accuracy with BISAP, but higher than other four criteria in predicting PNec; APACHE-II had higher accuracy than SIRS in predicting IPN. CONCLUSIONS: APACHE-II had high performance in predicting IPN, and all other score systems had medium performance in predicting SAP, PNec, and IPN in HTG-AP. Each score has its merit and weakness; BISAP may be the best criterion in predicting severity and prognosis of HTG-AP.
BACKGROUND: In China, hyperlipidemia is the second major reason of acute pancreatitis. AIMS: Comparison of Scoring Systems in identification patients at risk for severe acute pancreatitis (SAP), pancreatic necrosis (PNec), and infected pancreatic necrosis (IPN) early in the course of hypertriglyceridemia-induced acute pancreatitis (HTG-AP). METHODS: Predictive accuracy of scoring systems was measured by the area under the receiver operating characteristic curve (AUC) in a retrospective study. Pairwise AUC comparisons were performed to calculate the difference between scoring systems. RESULTS: A total of 238 patients diagnosed with HTG-AP were included. Sixty patients (25.2%) were classified as SAP. Twenty-nine patients (12.2%) had evidence of PNec. Nine patients (3.8%) were diagnosed with IPN. One patient (0.4%) died during hospitalization. In predicting SAP in HTG-AP, the AUCs of APACHE-II, SOFA, SIRS, Ranson's, BISAP, and MMS were 0.77, 0.83, 0.73, 0.88, 0.83, and 0.85, respectively; in predicting PNec, were 0.75, 0.77, 0.75, 0.86, 0.80, and 0.75, respectively; and in predicting IPN, were 0.92, 0.86, 0.76, 0.85, 0.84, and 0.87, respectively. Pairwise AUC comparisons revealed that Ranson's, MMS, BISAP, and SOFA had higher accuracy than SIRS, Ranson's and MMS had higher accuracy than APACHE-II in predicting SAP; Ranson's had the same accuracy with BISAP, but higher than other four criteria in predicting PNec; APACHE-II had higher accuracy than SIRS in predicting IPN. CONCLUSIONS: APACHE-II had high performance in predicting IPN, and all other score systems had medium performance in predicting SAP, PNec, and IPN in HTG-AP. Each score has its merit and weakness; BISAP may be the best criterion in predicting severity and prognosis of HTG-AP.
Entities:
Keywords:
Hypertriglyceridemia; Infected pancreatic necrosis; Pancreatic necrosis; Severe acute pancreatitis
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