Comparison of modified Glasgow-Imrie, Ranson, and Apache II scoring systems in predicting the severity of acute pancreatitis

Abstract

<b>Aim:</b> The course of acute pancreatitis is variable with patients at risk of poor outcomes. The purpose of this study was to compare Modified Glasgow-Imrie, Ranson, and APACHE II scoring systems in predicting the severity of acute pancreatitis. </br></br> <b> Material and Methods: </b> After a brief history, clinical examination and qualifying inclusion criteria, 70 patients (41 women, 29 men) diagnosed with acute pancreatitis were included in the study. The three scores were calculated for each patient and evaluated for their role in the assessment of specific outcomes. </br></br> <b>Results:</b> 34.3% patients were diagnosed with severe acute pancreatitis, while 65.7% patients had mild acute pancreatitis. A strong positive correlation was found between all the prognostic scores and the severity of disease. In the prediction of the severity of disease according to AUC, it was found that Glasgow-Imrie score had an AUC of 0.864 (0.756–0.973), followed very closely by APACHE II score with an AUC of 0.863 (0.758–0.968). APACHE II had the highest sensitivity (79.17%) in predicting severity while Glasgow-Imrie score was the most specific (97.83%) of all the scores. Patients with a Glasgow-Imrie score above the cut-off value of 3 had more complications and a longer hospital stay. </br></br> <b>Conclusion:</b> The Glasgow-Imrie score was comparable to APACHE II score and better than Ranson score statistically in predicting the severity of acute pancreatitis. Its administration in predicting the severity of acute pancreatitis is recommended.

Efficacy of Bedside Index for Severity In Acute Pancreatitis (Bisap) Score As Predictor of In-Hospital Outcome in Acute Pancreatitis

“…The area of BISAP score under the ROC curve also considered as excellent for prediction of increased length of hospital stay, goodfor prediction of partial recovery withcomplication and moderatefor prediction of ICU transfer when cutoff values e"3 was taken as criteria for severe acute pancreatitis. These findings are parallel with other studies 16,17,18 . Chen et al 19 recommended that BISAP has the advantages of simplicity and speed over traditional scoring systems.…”

Analysis of immune cell infiltration characteristics in severe acute pancreatitis through integrated bioinformatics

“…As early as 1974,s using CMap, and the results indicated that the expression profiles of drugs-perturbed such as Entecavir, KU-0063794, Y-27632, and Antipyrine were significantly negatively correlated with the expression profiles of disease-perturbed, suggesting that these drugs can improve or even stop SAP progress 8 . Subsequently, numerous scoring systems based on clinical, imaging, and laboratory indicators, such as Glasgow 9 , APACHE II 10 , APACHE II 11 , APACHE II 12 , were developed to evaluate AP severity. While existing scoring systems have played a significant role in predicting sustained organ failure in AP, they have limitations, such as requiring multiple statistical parameters, being computationally complex, having a broad time span for required indicators, and exhibiting some lag in assessing disease severity.…”

Analysis of Immune Cell Infiltration Characteristics in Severe Acute Pancreatitis through Integrated Bioinformatics

“…As early as 1974,s using CMap,and the results indicated that the expression pro les of drugs-perturbed such as Entecavir, KU-0063794, Y-27632, and Antipyrine were signi cantly negatively correlated with the expression pro les of disease-perturbed, suggesting that these drugs can improve or even stop SAP progress [8].Subsequently, numerous scoring systems based on clinical, imaging, and laboratory indicators, such as Glasgow [9], APACHE II [10], APACHE II [11], APACHE II [12], were developed to evaluate AP severity. While existing scoring systems have played a signi cant role in predicting sustained organ failure in AP, they have limitations,such as requiring multiple statistical parameters, being computationally complex, having a broad time span for required indicators, and exhibiting some lag in assessing disease severity.…”