Re: How to predict the severity of acute pancreatitis? An ongoing debate.

How to predict the severity of acute pancreatitis? An ongoing debate.

Red blood cell distribution width: a determinant of hospital mortality in pancreatitis

Objective: In recent years, there has been a great attention concerning red blood cell distribution width (RDW) in clinical decisions as well as determining the severity of diseases. This study was conducted to evaluate the primary level of RDW to predict hospital mortality in pancreatitis. Methods: This was a descriptive analytical study performed on 100 pati...

Comparison Study of Apache-II Vs Ranson’s scoring And CT Severity Index for Its Outcome in Acute Pancreatitis

Acute pancreatitis is one of the common encountered disorders in common surgical practice. In recent times management has changed dramatically with majority of decisions like role of antibiotics, use of Ryle’s tube, nutrition etc. Ranson’s and APACHE II scoring systems are the two major scoring systems to predict the severity of disease, but the efficacy between the two scoring systems still re...

Effectiveness of Single-Port Thoracoscopic Splanchnicectomy in Controlling Pain in Patients with Chronic Pancreatitis

Introduction: Chronic pancreatitis is defined as a persistent pancreatic inflammatory disease. In chronic pancreatitis, recurrent episodes of inflammation lead to the replacement of pancreatic parenchyma with fibrotic connective tissue. Chronic pancreatitis pain, which may initially mimic acute pancreatitis, is severe, frequent, and continual and has a major impact on the quality of life and so...

Artificial neural networks: applications in predicting pancreatitis survival

Artificial neural networks are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the efficiency of a neural network for predicting the survival of patients with acute pancreatitis is compared with days-of-survival obtained from patients. A three- layer back-propagation neural network was developed for this purpose. Clinical data (e.g...