Digestive diseases and sciences · 2019
Comparison of Scoring Systems in Predicting Severity and Prognosis of Hypertriglyceridemia-Induced Acute Pancreatitis.
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Li Man, Xing Xiao-Kang, Lu Zhi-Hua, Guo Feng, Su Wei, Lin Yong-Jun, Wang Dong-Hai
Аннотация
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.
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.