BACKGROUND & AIMS: It is important to identify patients with acute pancreatitis who are at risk for developing persistent organ failure early in the course of disease. Several scoring systems have been developed to predict which patients are most likely to develop persistent organ failure. We head-to-head compared the accuracy of these systems in predicting persistent organ failure, developed rules that combined these scores to optimize predictive accuracy, and validated our findings in an independent cohort. METHODS: Clinical data from 2 prospective cohorts were used for training (n = 256) and validation (n = 397). Persistent organ failure was defined as cardiovascular, pulmonary, and/or renal failure that lasted for 48 hours or more. Nine clinical scores were calculated when patients were admitted and 48 hours later. We developed 12 predictive rules that combined these scores, in order of increasing complexity. RESULTS: Existing scoring systems showed modest accuracy (areas under the curve at admission of 0.62-0.84 in the training cohort and 0.57-0.74 in the validation cohort). The Glasgow score was the best classifier at admission in both cohorts. Serum levels of creatinine and blood urea nitrogen provided similar levels of discrimination in each set of patients. Our 12 predictive rules increased accuracy to 0.92 in the training cohort and 0.84 in the validation cohort. CONCLUSIONS: The existing scoring systems seem to have reached their maximal efficacy in predicting persistent organ failure in acute pancreatitis. Sophisticated combinations of predictive rules are more accurate but cumbersome to use, and therefore of limited clinical use. Our ability to predict the severity of acute pancreatitis cannot be expected to improve unless we develop new approaches.
BACKGROUND & AIMS: It is important to identify patients with acute pancreatitis who are at risk for developing persistent organ failure early in the course of disease. Several scoring systems have been developed to predict which patients are most likely to develop persistent organ failure. We head-to-head compared the accuracy of these systems in predicting persistent organ failure, developed rules that combined these scores to optimize predictive accuracy, and validated our findings in an independent cohort. METHODS: Clinical data from 2 prospective cohorts were used for training (n = 256) and validation (n = 397). Persistent organ failure was defined as cardiovascular, pulmonary, and/or renal failure that lasted for 48 hours or more. Nine clinical scores were calculated when patients were admitted and 48 hours later. We developed 12 predictive rules that combined these scores, in order of increasing complexity. RESULTS: Existing scoring systems showed modest accuracy (areas under the curve at admission of 0.62-0.84 in the training cohort and 0.57-0.74 in the validation cohort). The Glasgow score was the best classifier at admission in both cohorts. Serum levels of creatinine and blood ureanitrogen provided similar levels of discrimination in each set of patients. Our 12 predictive rules increased accuracy to 0.92 in the training cohort and 0.84 in the validation cohort. CONCLUSIONS: The existing scoring systems seem to have reached their maximal efficacy in predicting persistent organ failure in acute pancreatitis. Sophisticated combinations of predictive rules are more accurate but cumbersome to use, and therefore of limited clinical use. Our ability to predict the severity of acute pancreatitis cannot be expected to improve unless we develop new approaches.
Authors: James Buxbaum; Michael Quezada; Bradford Chong; Nikhil Gupta; Chung Yao Yu; Christianne Lane; Ben Da; Kenneth Leung; Ira Shulman; Stephen Pandol; Bechien Wu Journal: Am J Gastroenterol Date: 2018-03-15 Impact factor: 10.864