Related Experiment Video
Updated: Jan 18, 2026
Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection
Published on: May 10, 2024
Construction of a nomogram for hypertriglyceridemic severe acute pancreatitis that includes metabolic indexes
Zhiguo Wang1, Yongshuai Liu2, Xin Zhang1
1Department of Clinical Medical College, Shandong Second Medical University, Weifang, Shandong, 261053, China.
Background:
Current scoring systems for hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) severity are few and lack reliability. The present work focused on screening predicting factors for HTG-SAP, then constructing and validating the visualization model of HTG-AP severity by combining relevant metabolic indexes.
Methods:
Between January 2020 and December 2024, retrospective clinical information for HTG-AP inpatients from Weifang People's Hospital was examined. CT scans of included patients were evaluated for muscle and fat parameters. To identify independent predictors of HTG-SAP, univariate regression, least absolute contraction and selection operator (LASSO) regression, and multivariable logistic regression were conducted. Meanwhile, the nomogram was created for model visualization, and the model was verified for accuracy, consistency, stability, and utility by calibration, clinical decision curve (DCA), as well as receiver operating characteristic (ROC) analyses.
Results:
Altogether 244 HTG-AP patients were enrolled, and they were categorized as a severe group (N = 44) or a non-severe group (N = 200) in line with Atlanta classification criteria. The analysis showed that lactate dehydrogenase (LDH), serum creatinine(Scr), visceral adipose tissue index (VATI), serum albumin(ALB), and triglyceride and glucose (TyG) index independently predicted the HTG-AP severity prediction model, and a nomogram was constructed for visualization, with an internally validated Harrell's consistency index (c-index) of 0.966 (95% CI, 0.943-0.989), besides, calibration curves, ROC, and DCA all revealed that the nomogram had good predictive ability.
Conclusion:
LDH, Scr, VATI, ALB, and TyG independently predict HTG-SAP, and our constructed prediction model has high sensitivity and specificity, which can early identify HTG-AP severity, with a view to giving appropriate interventions to the patients in time, delaying the progression of the patients' conditions, and reducing the complications.
Related Concept Videos
01:30Acute Pancreatitis II: Clinical Manifestations and Management
01:27Acute Pancreatitis I: Introduction
Acute pancreatitis is characterized by rapid inflammation of the pancreas, often caused by factors like gallstone blockage or excessive alcohol consumption. Chronic pancreatitis, on the other hand, is a slow, progressive inflammation that may result from long-term alcohol abuse, obstructions in the pancreatic duct, or genetic factors.
The causes of acute pancreatitis include:
01:29Chronic Pancreatitis II: Collaborative Care
Assessment:
01:24Chronic Pancreatitis I: Introduction
Pancreatitis is the inflammation of the pancreas, which occurs when the immune system becomes active and causes swelling, pain, and disruptions in organ function. Pancreatitis can manifest as either an acute or chronic condition.
Acute pancreatitis arises suddenly and lasts for a brief duration, while chronic pancreatitis is a long-term affliction...
01:23Dosage Regimen Designs: Nomograms and Tabulations
01:24Overview of Lipid Metabolism
Lipolysis: The Breakdown of Lipids:
Lipolysis is the process of breaking down lipids, particularly triglycerides, into glycerol and fatty acids. This process typically occurs in the adipose tissue and is triggered by various hormones, including glucagon and...