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Related Concept Videos

Acute Pancreatitis II: Clinical Manifestations and Management01:30

Acute Pancreatitis II: Clinical Manifestations and Management

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Acute pancreatitis presents a complex medical emergency characterized by rapid onset inflammation of the pancreas, demanding timely diagnosis and management to prevent complications. The condition primarily manifests through severe upper abdominal pain that often radiates to the back. This pain intensifies following the consumption of fatty foods. Accompanying symptoms such as nausea, vomiting, abdominal distention, fever, dyspnea, cyanosis, and jaundice can vary in intensity but significantly...
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Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

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Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
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Acute Pancreatitis I: Introduction01:27

Acute Pancreatitis I: Introduction

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Pancreatitis is inflammation of the pancreas, an organ located behind the stomach. It can be either acute or chronic.
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:
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Chronic Pancreatitis II: Collaborative Care01:29

Chronic Pancreatitis II: Collaborative Care

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The management of chronic pancreatitis is multifaceted, involving a comprehensive approach that includes thorough assessment, diagnostic testing, and a variety of management strategies.
Assessment:
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Chronic Pancreatitis I: Introduction01:24

Chronic Pancreatitis I: Introduction

643
The pancreas, an elongated and flat gland situated behind the stomach, serves a vital function in digesting food and managing blood sugar levels.
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...
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Related Experiment Video

Updated: Jan 7, 2026

Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection
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Development of a Nomogram for Predicting Multiple Organ Dysfunction in Acute Pancreatitis.

Zongyuan Che1, Xuchen Zhao1, Wei Xue1

  • 1Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, People's Republic of China.

Journal of Inflammation Research
|December 30, 2025
PubMed
Summary

A new 7-variable nomogram accurately predicts Multiple Organ Dysfunction Syndrome (MODS) risk in acute pancreatitis (AP) patients. This tool aids early risk stratification and resource allocation for better patient outcomes.

Keywords:
acute pancreatitiselectronic health recordsmachine learningmultiple organ dysfunction syndromerisk stratification

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Area of Science:

  • Clinical Medicine
  • Medical Informatics
  • Predictive Analytics

Background:

  • Multiple Organ Dysfunction Syndrome (MODS) is a critical, often fatal, complication of acute pancreatitis (AP).
  • Early identification of high-risk AP patients is essential for timely intervention and improved survival rates.

Purpose of the Study:

  • To develop and validate a clinical nomogram for predicting MODS risk in AP patients.
  • The nomogram utilizes clinical and laboratory data available within 24 hours of admission.

Main Methods:

  • A retrospective cohort study of 693 AP patients was conducted.
  • LASSO regression identified key predictors from 29 candidate variables.
  • Generalized Linear Model (GLM), Random Forest (RF), and Support Vector Machine (SVM) models were constructed and compared.

Main Results:

  • The GLM-based nomogram demonstrated superior performance.
  • A 7-variable model achieved an AUC of 0.829 (training) and 0.846 (validation).
  • The model exhibited good discrimination, calibration, and a high negative predictive value.

Conclusions:

  • An internally validated 7-variable nomogram using GLM effectively predicts MODS in AP patients.
  • The nomogram supports early risk stratification and resource allocation.
  • Further external validation and prospective studies are recommended.