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Related Concept Videos

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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A Nomogram-Based Model for Predicting the Risk of Severe Acute Cholangitis Occurrence.

Jian Xu1, Zhi-Xiang Xu1, Jing Zhuang1

  • 1Department of Gastroenterology, the Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, 212000, People's Republic of China.

International Journal of General Medicine
|July 31, 2023
PubMed
Summary
This summary is machine-generated.

A new nomogram model effectively predicts severe acute cholangitis risk using Aspartate to Alanine Transaminase ratio, Neutrophil-lymphocyte ratio, C-reactive protein, and D-dimer levels. This tool aids clinicians in early risk stratification and treatment decisions for better patient outcomes.

Keywords:
cholangitisnomogramprognosisrisk factors

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Area of Science:

  • Hepatology
  • Infectious Diseases
  • Clinical Prediction Models

Background:

  • Acute cholangitis is a serious biliary infection with potential complications.
  • Current risk assessment methods for acute cholangitis have limitations in predicting severity.
  • There is a need for improved risk prediction models for acute cholangitis.

Purpose of the Study:

  • To develop and validate a nomogram-based model for predicting severe acute cholangitis.
  • To integrate multiple clinical and laboratory variables for enhanced risk prediction.
  • To provide a tool for early identification of high-risk patients.

Main Methods:

  • Retrospective data collection from 152 acute cholangitis patients (Jan 2019-Mar 2022).
  • Utilized univariate and multivariate analyses to identify independent risk factors for severe disease.
  • Constructed a nomogram integrating identified risk factors and validated using ROC curves, calibration curves, and DCA.

Main Results:

  • Aspartate to Alanine Transaminase ratio (TR), Neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP), and D-dimer (DD) were identified as independent risk factors.
  • The developed nomogram demonstrated good differentiation and calibration.
  • Decision Curve Analysis showed significant clinical utility for risk stratification.

Conclusions:

  • The nomogram model serves as an effective tool for predicting severe acute cholangitis risk.
  • It can assist clinicians in making informed intervention and treatment decisions.
  • Early identification of high-risk patients can lead to timely management.