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Related Concept Videos

Acute Pancreatitis II: Clinical Manifestations and Management01:30

Acute Pancreatitis II: Clinical Manifestations and Management

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...
Endoscopic Procedures V: ERCP01:26

Endoscopic Procedures V: ERCP

Endoscopic Retrograde Cholangiopancreatography (ERCP) is a diagnostic procedure that combines endoscopy and fluoroscopy to diagnose and treat conditions related to the bile ducts, pancreatic ducts, and gallbladder. This procedure is beneficial for identifying and addressing blockages, gallstones, strictures, and tumors within the biliary or pancreatic systems. ERCP is both diagnostic and therapeutic, offering the ability to visualize and treat identified problems in one session.
Patient...
Acute Pancreatitis I: Introduction01:25

Acute Pancreatitis I: Introduction

Acute pancreatitis is the sudden inflammation of the pancreas caused by the early activation of digestive enzymes, leading to the autodigestion of pancreatic tissue. This results in local inflammation and, in severe cases, systemic complications.EtiologyUnderstanding the underlying causes is crucial, as identifying the etiology guides treatment and anticipates complications. Acute pancreatitis can be triggered by various factors, typically grouped into the following clinical categories.Biliary...
Acute Pancreatitis I: Introduction01:27

Acute Pancreatitis I: Introduction

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:
Chronic Pancreatitis II: Collaborative Care01:29

Chronic Pancreatitis II: Collaborative Care

The management of chronic pancreatitis is multifaceted, involving a comprehensive approach that includes thorough assessment, diagnostic testing, and a variety of management strategies.
Assessment:
Peptic Ulcer Disease IV: Management01:26

Peptic Ulcer Disease IV: Management

Medical treatment strategies for peptic ulcers encompass various methods. The primary goal of treatment is to diminish gastric acidity and strengthen mucosal defense mechanisms.
The therapeutic approach involves ensuring adequate rest, implementing drug therapy, promoting smoking cessation, making dietary modifications, and emphasizing long-term follow-up care.
Pharmacological management
The prevailing therapy for peptic ulcers involves a combination of managing the patient's current medication...

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Related Experiment Video

Updated: Jun 17, 2026

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia
03:05

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Fusion prediction model for post-ERCP pancreatitis under NSAIDs prophylaxis.

Wenjun Ping1, Peng Cao1, Jiangtao Li1

  • 1The First Affiliated Hospital, Department of Hepatopancreatobiliary Surgery, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.

Surgical Endoscopy
|June 15, 2026
PubMed
Summary

Machine learning models can predict post-ERCP pancreatitis (PEP) in patients taking NSAIDs. A novel fusion model shows high accuracy, aiding clinical decisions for this common ERCP complication.

Keywords:
ERCPMachine learningPEPPredictive model

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Area of Science:

  • Gastroenterology and Hepatology
  • Medical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Endoscopic retrograde cholangiopancreatography (ERCP) is a frequent procedure for biliary and pancreatic conditions.
  • Post-ERCP pancreatitis (PEP) is a significant complication, occurring in 3.5–9.7% of cases.

Purpose of the Study:

  • To develop machine learning models predicting PEP risk in patients receiving prophylactic non-steroidal anti-inflammatory drugs (NSAIDs).

Main Methods:

  • Retrospective analysis of 991 patients undergoing ERCP (Jan 2018–Feb 2024).
  • Utilized logistic regression, LightGBM, MLP, Random Forest, and XGBoost models.
  • Employed mixed sampling for data imbalance and model fusion for enhanced accuracy.
  • Validated models on a prospective cohort of 124 patients.

Main Results:

  • PEP developed in 5.75% (57/991) of patients.
  • Identified key pre- and post-procedure risk factors for PEP.
  • The fusion model achieved AUCs of 0.84 (pre-procedure) and 0.86 (post-procedure).
  • Demonstrated high specificity and negative predictive values.

Conclusions:

  • A novel fusion model effectively predicts PEP in NSAID-treated patients undergoing ERCP.
  • The model offers improved risk stratification and clinical decision support.
  • Further multi-center validation and inclusion of additional factors are recommended.