2020
DOI: 10.1097/mpg.0000000000002807
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Who's at Risk? A Prognostic Model for Severity Prediction in Pediatric Acute Pancreatitis

Abstract: Objectives: The aim of the study was to validate and optimize a severity prediction model for acute pancreatitis (AP) and to examine blood urea nitrogen (BUN) level changes from admission as a severity predictor. Study Design: Patients from 2 hospitals were included for the validation model (Children’s Hospital of the King’s Daughters and Children’s National Hospital). Children’s Hospital of the King’s Daughters and Cincinnati Children’s Hospital Medical Center data wer… Show more

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Cited by 23 publications
(17 citation statements)
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“…Serum albumin together with extrapancreatic fluid collections were suggested as the best indicator of severity of AP at the time of admission [31]. Combining blood urea nitrogen and albumin resulted in better prediction for SAP in pediatric patients [32]. Besides, low albumin is also helpful to predict organ failure in AP [33].…”
Section: Discussionmentioning
confidence: 99%
“…Serum albumin together with extrapancreatic fluid collections were suggested as the best indicator of severity of AP at the time of admission [31]. Combining blood urea nitrogen and albumin resulted in better prediction for SAP in pediatric patients [32]. Besides, low albumin is also helpful to predict organ failure in AP [33].…”
Section: Discussionmentioning
confidence: 99%
“…The severity of pediatric AP is classified based on organ dysfunction and systemic inflammatory response (10). In children, elevated BUN and lower albumin on admission were found to be predictive of severe AP (29,30). In adults, the association of AP severity and increased opioid utilization has been shown (31).…”
Section: Discussionmentioning
confidence: 99%
“…Attempts to identify predictors of SAP in pediatric AP have been ongoing [ 5 , 7 , 22 25 ]. Recent studies since the 2017 SAP criteria were published have utilized a uniform definition of pediatric SAP [ 7 , 25 ], however prior studies with utilization of various criteria for SAP have not been able to be well disseminated or widely used. The importance of identifying biomarkers to predict risk for developing SAP cannot be overstated.…”
Section: Discussionmentioning
confidence: 99%