Acute Pancreatitis severity scoring index: Prospective study to identify determinants in Pakistan

Introduction: The purpose of the study was to compare different parameters used in Ranson’s Criteria, Bedside Index of Severity in Acute Pancreatitis (BISAP), Acute Physiology and Chronic Health Evaluation (APACHE-II), and modified computed tomography severity index (MCTSI) for predicting the severi...

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Bibliographic Details
Main Authors: Tanveer Hussain, Muhammad Hanif, Ramlah Ghazanfor, Sarmad Arslan, Ibia Nawaz, Muhammad Umar
Format: Article
Language:English
Published: Rawalpindi Medical University 2020-09-01
Series:Journal of Rawalpindi Medical College
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Online Access:https://journalrmc.com/index.php/JRMC/article/view/1412
Description
Summary:Introduction: The purpose of the study was to compare different parameters used in Ranson’s Criteria, Bedside Index of Severity in Acute Pancreatitis (BISAP), Acute Physiology and Chronic Health Evaluation (APACHE-II), and modified computed tomography severity index (MCTSI) for predicting the severity of acute pancreatitis and formulate a new scoring system to assess the severity of acute pancreatitis based on their prognostic severity index in the local population. Materials and Methods: This prospective pilot study was conducted at Rawalpindi Medical University allied hospitals from August 2019 to December 2019. All patients with a diagnosis of acute pancreatitis were included in the study through non-probability convenient sampling. Different scoring parameters were entered into standardized proforma. Results: 100 patients were included in the pilot study with a mean age of 46.53 ± 15.324. Among 24 parameters from APACHE-II, Ranson’s, BISAP, and MCTSI, only 11 parameters, Pleural effusion (PE), Pancreatic necrosis (PN), LDH, serum Calcium (Sca++), Pulse, GCS, MCTS1, Base deficit, Po2, BUN-24, and BUN-48 were significantly related(at 10% level of significance) with the severity of acute pancreatitis. Similarly out of 24, 10 parameters AST, LDH, Sca++, Pulse, PE, PN, Base deficit, MCTS1, Po2, and BUN 48were significantly covered more than 50% of the area in AUC analysis. Our proposed criteria based on 9 parameters LDH, Sca++, Pulse, PE, PN, Base deficit, MCTS1, Po2, and BUN 48which were blowing by the two methods (ANOVA and ROC). The sensitivity and specificity were higher with our proposed criteria 93.1% and 60.6%respectively as compared to the Ranson’s, modified Ranson, BISAP, and APACHE-II criteria. Conclusion: The newly proposed criteria for the assessment of the severity of AP is superior as compared to old criteria.
ISSN:1683-3562
1683-3570