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dc.contributor.authorShen, Xiao-
dc.contributor.authorKe, Lu-
dc.contributor.authorYang, Dongliang-
dc.contributor.authorSun, Jing-
dc.contributor.authorTong, Zhihui-
dc.contributor.authorLi, Baiqiang-
dc.contributor.authorLi, Gang-
dc.contributor.authorLi, Weiqin-
dc.contributor.authorLi, Jieshou-
dc.contributor.authorBellomo, Rinaldo-
dc.identifier.citationJournal of Critical Care 2016; 36: 140-145en_US
dc.description.abstractPURPOSE: In this study, we aimed to evaluate the predictive value of Stewart-derived parameters for the development of severe type of acute pancreatitis (AP) and for AP-related mortality. METHODS: We studied 186 patients admitted to the hospital with AP. We performed blood gas and biochemical analysis for each patient on admission. We calculated multiple metrics according to the Stewart's acid-base theory and assessed their accuracy as predictors of AP severity and mortality. RESULTS: Of the 186 patients presenting with AP, 85 (45.7%) developed severe AP and 33 (17.7%) died during hospitalization. Patients with severe AP had significantly higher median strong ion gap (SIG) than did patients with mild or moderate AP (7.88 vs 2.11 mEq/L, P< .001). In multivariate logistic regression analysis, SIG had an odds ratio (OR) of 1.56 (P< .001). In addition, SIG had good predictive power for mortality (OR, 1.26; P= .014) as well as acute kidney injury (OR, 1.34; P< .001). CONCLUSIONS: In a cohort of patients with AP, SIG was a strong independent predictor of severity and mortality. Besides, SIG might also be an early marker for acute kidney injury in AP patients. Additional research is needed to identify the nature of the unmeasured anions responsible for such findings.en_US
dc.subjectAcute pancreatitisen_US
dc.subjectStrong ion gapen_US
dc.subjectOutcome predictionen_US
dc.subjectAnion gapen_US
dc.titleThe prognostic value of the strong ion gap in acute pancreatitisen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleJournal of Critical Careen_US
dc.identifier.affiliationAustin Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationSurgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Chinaen_US
dc.identifier.affiliationDepartment of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Chinaen_US
dc.identifier.affiliationDepartment of Intensive Care, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australiaen_US
dc.type.austinJournal Articleen_US, Rinaldo
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.openairecristype Care- Analytics Research and Evaluation (DARE) Centre-
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