Enhancing diagnostic accuracy for HBV-related cirrhosis progression: predictive modeling using combined Golgi protein 73 and α1-microglobulin for the transition from nondecompensated to decompensated cirrhosis.

Journal: European journal of gastroenterology & hepatology
Published Date: Mar 21, 2025

Abstract

BACKGROUND AND AIMS: Chronic hepatitis B poses a major health risk, especially its progression to decompensated cirrhosis. Early prediction is crucial for better outcomes. This study evaluated the predictive power of Golgi protein 73 (GP73), α1-microglobulin (α1M), age, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and platelet count (PLT) using machine learning models.

Authors

  • Meixia Du
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Huai Li
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Ouyang Yi
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Binqing Xiao
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Mengni Zhen
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Jianyong Jiang
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.
  • Yongzhong Li
    Center for Infectious Diseases, Hunan University of Medicine General Hospital, Huaihua, Hunan, China.

Keywords

External Resources

Popular Topics
Recent Journals