Anand Bhandary Panambur1* and Ashok Hegde2
1Assistant Professor, Department of General Surgery, A J Institute of Medical Sciences and Research Centre, NH 66, Kuntikana, Mangalore 575004, Karnataka, India
2Professor, Department of General Surgery, A J Institute of Medical Sciences and Research Centre, NH 66, Kuntikana, Mangalore 575004, Karnataka, India
*Corresponding Author: Anand Bhandary Panambur, Assistant Professor of Surgery, Consultant Laparoscopic and General Surgeon, A J Institute of Medical Sciences and Research Centre, NH 66, Kuntikana, Mangalore 575004, Karnataka, India.
Received: September 29, 2025; Published: October 21, 2025
In evaluating the severity of acute pancreatitis over a five-year period with 310 cases, this prospective study evaluates the clinical value and predicted accuracy of four scoring systems: BISAP, HAPS, Ranson's, and PANC3. Analysis was done on sensitivity, specificity, accuracy, area under the curve (AUC), positive predictive value (PPV), negative predictive value (NPV), and specificity. HAPS had the highest PPV (95.1%), whereas BISAP and PANC3 had superior discrimination (AUC 0.82 and 0.883) and greater sensitivity (90.9% and 100%). Ranson's demonstrated superior sensitivity (100%) but poorer PPV (21%), and specificity (56%). According to our research, HAPS and Ranson's offer supplementary clinical insights, while BISAP and PANC3 are effective for early bedside severity prediction. The application of these metrics can enhance clinical results and enable prompt action.
Keywords: Acute Pancreatitis (AP); Prospective Study; BISAP Score; HAPS; Ranson’s Score; PANC3; Positive Predictive Value (PPV); Negative Predictive Value (NPV); Bedside Scoring Systems; Risk Stratification; Revised Atlanta Classification
Citation: Anand Bhandary Panambur and Ashok Hegde. “Comparative Evaluation of BISAP, Haps, Ranson's, and PANC3 Scoring Systems for Predicting Severity in Acute Pancreatitis: A 5-Year Prospective Study". Acta Scientific Clinical Case Reports 6.10 (2025): 08-13.
Copyright: © 2025 Anand Bhandary Panambur and Ashok Hegde. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.