BISAP, RANSON, lactate and others biomarkers in prediction of severe acute pancreatitis in a European cohort.

Abstract

The study aims to assess and compare the predicting ability of some scores and biomarkers in acute pancreatitis. We prospectively collected data from 269 patients diagnosed of acute pancreatitis, admitted to Virgen de las Nieves University Hospital between June 2010 and June 2012. Blood urea nitrogen (BUN), C-reactive protein, and creatinine were measured on admission and after 48h, lactate and bedside index for severity acute pancreatitis (BISAP) only on admission and RANSON within the first 48h. Definitions from 2012 Atlanta Classification were used. Area under the curve (AUC) was calculated for each scoring system for predicting severe acute pancreatitis (SAP), mortality, and intensive care unit (ICU) admission, obtaining optimal cut-off values from the receiver operating characteristic curves. Eight (3%) patients died, 17 (6.3%) were classified as SAP, and 10 (3.7%) were admitted in ICU. BISAP was the best predictor on admission for SAP, mortality, and ICU admission with an AUC of 0.9 (95% CI 0.83-0.97); 0.97 (95% CI 0.95-0.99); and 0.89 (95% CI 0.79-0.99), respectively. After 48h, BUN 48h was the best predictor of SAP (AUC=0.96 CI: 0.92-0.99); BUN 48h and BISAP were the best predictors for mortality (AUC=0.97 CI: 0.95-0.99) and creatinine 48h for ICU admission (AUC=0.96 CI: 0.92-0.99). Lactate showed an AUC of 0.79 (CI: 0.71-0.88), 0.87 (CI: 0.78-0.96), and 0.77 (CI: 0.67-0.87) for SAP, mortality, and ICU admission, respectively. All parameters were predictors for SAP, mortality, and ICU admission, but C-reactive protein on admission was only a significant predictor of SAP. Bedside index for severity acute pancreatitis is a good predictive system for SAP, mortality, and ICU admission, being useful for triaging patients for ICU management. Lactate could be useful for developing new scores.