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Correlation of Modified CT Severity Index with Clinical Outcomes in Acute Pancreatitis: A Prospective Study


Article Information

Title: Correlation of Modified CT Severity Index with Clinical Outcomes in Acute Pancreatitis: A Prospective Study

Authors: Vinoth R, Saravana Kumar S, Om Prakash, Shanmugasrinivasan V

Journal: Journal of Neonatal Surgery

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: EL-MED-Pub Publishers

Country: Pakistan

Year: 2025

Volume: 14

Issue: 28S

Language: en

Keywords: Acute pancreatitis

Categories

Abstract

Introduction and Objectives: Acute pancreatitis is known for its unpredictable course and is a significant cause of morbidity and mortality. Approximately 20 to 30 percent of individuals with acute pancreatitis develop severe cases, which are characterized by prolonged pancreatic necrosis, multiple organ failure, and a complicated clinical course. The Modified Computed Tomography Severity Index (MCTSI) is used as a rating system for assessing the severity of acute pancreatitis. This study aims to compare patient outcomes based on the MCTSI grading system, focusing on factors such as mortality, length of hospital stay, duration of ICU stay, complications, and organ failure.
Materials and methods: Over one year, a prospective study was conducted involving 50 cases diagnosed with acute pancreatitis. Computed tomography (CECT) with contrast enhancement was performed on these individuals.
Results: A correlation was identified between the overall length of hospital stay and several factors, including the necessity for ICU admission, the duration of ICU stay, and the severity of pancreatitis. Additionally, a higher CT grade is positively associated with the occurrence of both systemic and local complications..
Conclusion: There is a significant correlation between the modified CT severity index grading system and the need for ICU admission, the duration of ICU stay, and the overall length of hospital stay. The modified CT severity index can also predict the likelihood of developing both local and systemic complications, as well as the need for ICU admission..


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