Abstract

ObjectiveOur aim was to prospectively compare the Accuracy of Acute Physiology and Chronic Health Evaluation (APACHE) II, Bedside Index of Severity in Acute Pancreatitis (BISAP), Ranson’s score and modified Computed Tomography Severity Index (CTSI) in predicting the severity of acute pancreatitis based on Atlanta 2012 definitions in a tertiary care hospital in northern India.MethodsFifty patients with acute pancreatitis admitted to our hospital during the period of March 2015 to September 2016 were included in the study. APACHE II, BISAP and Ranson’s score were calculated for all the cases. Modified CTSI was also determined based on a pancreatic protocol contrast enhanced computerized tomography (CT). Optimal cut-offs for these scoring systems and the area under the curve (AUC) were evaluated based on the receiver operating characteristics (ROC) curve and these scoring systems were compared prospectively.ResultsOf the 50 cases, 14 were graded as severe acute pancreatitis. Pancreatic necrosis was present in 15 patients, while 14 developed persistent organ failure and 14 needed intensive care unit (ICU) admission. The AUC for modified CTSI was consistently the highest for predicting severe acute pancreatitis (0.919), pancreatic necrosis (0.993), organ failure (0.893) and ICU admission (0.993). APACHE II was the second most accurate in predicting severe acute pancreatitis (AUC 0.834) and organ failure (0.831). APACHE II had a high sensitivity for predicting pancreatic necrosis (93.33%), organ failure (92.86%) and ICU admission (92.31%), and also had a high negative predictive value for predicting pancreatic necrosis (96.15%), organ failure (96.15%) and ICU admission (95.83%).ConclusionAPACHE II is a useful prognostic scoring system for predicting the severity of acute pancreatitis and can be a crucial aid in determining the group of patients that have a high chance of need for tertiary care during the course of their illness and therefore need early resuscitation and prompt referral, especially in resource-limited developing countries.

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