A COMPARATIVE STUDY OF GLASGOW IMRIE AND PANC3 AND BISAP SCORING SYSTEMS IN PREDICTING THE SEVERITY OF ACUTE PANCREATITIS

Authors

  • Dinesh L Jadhav, Sagar Kannavar , Vijay Kumar H , Panindra Pilli Author

DOI:

https://doi.org/10.48047/

Keywords:

Acute pancreatitis (AP) , Computed tomography (CT) , BISAP , GLASGOW IMRIE and PANC3

Abstract

Background: Pancreatitis is an inflammation of the parenchyma of the pancreas. Acute pancreatitis is described as an acute condition characterised by abdominal discomfort, a threefold or more increase in serum levels of the pancreatic enzymes amylase or lipase, and/or typical signs of pancreatic inflammation on contrast-enhanced CT. Objective: To compare and assess the accuracy of PANC3 and BISAP scoring systems with Glasgow IMRIE scoring
system in predicting the severity of acute pancreatitis. Methods: After obtaining informed written consent. (Annexure 1) Details of cases were recorded, including history and clinical examination. Routine blood investigations were performed. Radiological investigations, such as chest x-ray and ultrasonography, were also done. Follow-up was conducted until the patient was discharged from the hospital Results: The BISAP score has good discriminatory power in identifying severe acute pancreatitis (AP) with sensitivity and specificity values are 80.00% and 90.62%, respectively. The GLASGOWIMRIE score also has good discriminatory power in detecting severe AP, with sensitivity and specificity values are 77.78% and 91.46%, respectively. PANC3 also has good discriminatory power in identifying severe AP with specificity and sensitivity values are 91.03% and 72.73%, respectively..
Conclusions: In general, these scores have good performance in identifying severe AP, with the GLASGOW IMRIE score having the highest AUC value among the three scores. However, each score has its own strengths and weaknesses, and the choice of which score to use may depend on various factors, such as the availability of resources and the specific characteristics of the patient population.

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Published

2024-08-06