Comparison of three Glasgow multifactor prognostic scoring systems in acute pancreatitis

1988 ◽  
Vol 75 (5) ◽  
pp. 460-462 ◽  
Author(s):  
T. Leese ◽  
D. Shaw
2015 ◽  
Author(s):  
Robert A. Moran ◽  
Manavi Solanki ◽  
Vikesh K Singh

Acute pancreatitis (AP) is defined as the presence of two of the following findings: (1) upper abdominal pain; (2) serum amylase or lipase greater than three times the upper limit of normal; and/or (3) characteristic findings of AP on abdominal imaging (contrast-enhanced computed tomography, magnetic resonance imaging, or abdominal ultrasonography). This review addresses AP, detailing the subclassification, epidemiology, pathophysiology, etiology, diagnosis and differential diagnosis, treatment, complications, and prognosis. Figures include abdominal imaging of patients with AP, an algorithm depicting pancreatic collections, and an endoscopic image of the gastric portion of the cystogastrostomy. Tables list systemic inflammatory response syndrome; classification of the severity of AP; etiologies of AP, gallstones, biliary sludge, microlithiasis, and crystals; secondary causes of hypertriglyceridemia; common drugs and drug classes associated with AP; conditions mimicking AP; diagnostic criteria for infected necrosis; and prognostic scoring systems for AP. This review contains 3 highly rendered figures, 9 tables, and 182 references. 


2003 ◽  
Vol 124 (4) ◽  
pp. A398-A399
Author(s):  
Constantinos Chatzicostas ◽  
Maria Roussomoustakaki ◽  
Georgios Notas ◽  
Ioannis Mouzass ◽  
Ioannis Koutroubakis ◽  
...  

2016 ◽  
Vol 4 (1) ◽  
pp. 3-7
Author(s):  
Tanka Prasad Bohara ◽  
Dimindra Karki ◽  
Anuj Parajuli ◽  
Shail Rupakheti ◽  
Mukund Raj Joshi

Background: Acute pancreatitis is usually a mild and self-limiting disease. About 25 % of patients have severe episode with mortality up to 30%. Early identification of these patients has potential advantages of aggressive treatment at intensive care unit or transfer to higher centre. Several scoring systems are available to predict severity of acute pancreatitis but are cumbersome, take 24 to 48 hours and are dependent on tests that are not universally available. Haematocrit has been used as a predictor of severity of acute pancreatitis but some have doubted its role.Objectives: To study the significance of haematocrit in prediction of severity of acute pancreatitis.Methods: Patients admitted with first episode of acute pancreatitis from February 2014 to July 2014 were included. Haematocrit at admission and 24 hours of admission were compared with severity of acute pancreatitis. Mean, analysis of variance, chi square, pearson correlation and receiver operator characteristic curve were used for statistical analysis.Results: Thirty one patients were included in the study with 16 (51.61%) male and 15 (48.4%) female. Haematocrit at 24 hours of admission was higher in severe acute pancreatitis (P value 0.003). Both haematocrit at admission and at 24 hours had positive correlation with severity of acute pancreatitis (r: 0.387; P value 0.031 and r: 0.584; P value 0.001) respectively.Area under receiver operator characteristic curve for haematocrit at admission and 24 hours were 0.713 (P value 0.175, 95% CI 0.536 - 0.889) and 0.917 (P value 0.008, 95% CI 0.813 – 1.00) respectively.Conclusion: Haematocrit is a simple, cost effective and widely available test and can predict severity of acute pancreatitis.Journal of Kathmandu Medical College, Vol. 4(1) 2015, 3-7


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Wu ◽  
Jie Wang ◽  
Mengbin Qin ◽  
Huiying Yang ◽  
Zhihai Liang ◽  
...  

Abstract Background Recently, several novel scoring systems have been developed to evaluate the severity and outcomes of acute pancreatitis. This study aimed to compare the effectiveness of novel and conventional scoring systems in predicting the severity and outcomes of acute pancreatitis. Methods Patients treated between January 2003 and August 2020 were reviewed. The Ranson score (RS), Glasgow score (GS), bedside index of severity in acute pancreatitis (BISAP), pancreatic activity scoring system (PASS), and Chinese simple scoring system (CSSS) were determined within 48 h after admission. Multivariate logistic regression was used for severity, mortality, and organ failure prediction. Optimum cutoffs were identified using receiver operating characteristic curve analysis. Results A total of 1848 patients were included. The areas under the curve (AUCs) of RS, GS, BISAP, PASS, and CSSS for severity prediction were 0.861, 0.865, 0.829, 0.778, and 0.816, respectively. The corresponding AUCs for mortality prediction were 0.693, 0.736, 0.789, 0.858, and 0.759. The corresponding AUCs for acute respiratory distress syndrome prediction were 0.745, 0.784, 0.834, 0.936, and 0.820. Finally, the corresponding AUCs for acute renal failure prediction were 0.707, 0.734, 0.781, 0.868, and 0.816. Conclusions RS and GS predicted severity better than they predicted mortality and organ failure, while PASS predicted mortality and organ failure better. BISAP and CSSS performed equally well in severity and outcome predictions.


Spine ◽  
2013 ◽  
Vol 38 (11) ◽  
pp. 965-966 ◽  
Author(s):  
Thomas M. Gregory ◽  
Romain Coriat ◽  
Olivier Mir

2012 ◽  
Vol 142 (5) ◽  
pp. S-314 ◽  
Author(s):  
Sreekanth Appasani ◽  
Ragesh B. Thandassery ◽  
Indrajit Abujam ◽  
Thakur D. Yadav ◽  
Kartar Singh ◽  
...  

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