Faculty Collaboration Database

Blood Urea Nitrogen Elevation Is a Marker for Pediatric Severe Acute Pancreatitis. Pancreas 2019 Mar;48(3):363-366

Date

02/16/2019

Pubmed ID

30768572

Pubmed Central ID

PMC8579319

DOI

10.1097/MPA.0000000000001265

Scopus ID

2-s2.0-85062698049 (requires institutional sign-in at Scopus site)   25 Citations

Abstract

OBJECTIVE: The natural course of patients who develop acute pancreatitis (AP) can range from mild to severe acute pancreatitis (SAP). The aim of this study was to evaluate for early predictors of developing SAP during the first episode of AP in a prospective pediatric cohort.

METHODS: Clinical data were prospectively collected and subsequently analyzed for pediatric patients presenting with their first episode of AP between March 2013 and January 2017 to Cincinnati Children's Hospital Medical Center.

RESULTS: A total of 118 patients were included in the analysis, and 22 (18.6%) developed SAP. Patients who developed SAP had significantly higher values of blood urea nitrogen (BUN) (P = 0.007), magnesium (P = 0.04), glucose (P = 0.03), sodium (P = 0.03), and C-reactive protein (P = 0.02). A logistic regression model with BUN as a predictor of SAP was superior to any other combination of variables (area under the receiver operating characteristic curve, 0.75; 95% confidence interval, 0.61-0.89; sensitivity, 63%; specificity, 81%; positive predictive value, 43%; negative predictive value, 91%).

CONCLUSIONS: This study generated a predictive model using elevated BUN as a significant predictor of SAP. The findings are useful for early identification of pediatric patients at higher risk of developing SAP.

Author List

Vitale DS, Hornung L, Lin TK, Nathan JD, Prasad S, Thompson T, Abu-El-Haija M

Author

Swathi Prasad MD Adjunct Instructor in the Pediatrics department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Acute Disease
Adolescent
Biomarkers
Blood Urea Nitrogen
Child
Female
Humans
Logistic Models
Male
Pancreatitis
Prognosis
Prospective Studies
ROC Curve
Sensitivity and Specificity
Severity of Illness Index