Prognostic Value of Inflammatory Indicators in Chronic Hepatitis B Patients With Significant Liver Fibrosis: A

Xiujuan Zhang1, Yusheng Jie2, Zemin Wan3

  • 1Department of Hepatology Diseases, Guangdong Provincial Hospital of Chinese Medicine Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Frontiers in Pharmacology
|December 3, 2021
PubMed

Insights

A new nomogram effectively predicts significant liver fibrosis in chronic hepatitis B (CHB) patients using inflammatory indicators Alanine aminotransferase (ALT) and aspartate aminotransferase (AST), alongside prothrombin time activity percentage (PTA) and liver stiffness measurement (LSM). This tool aids in better treatment decisions and prognosis for CHB.

Area of Science:

  • Hepatology
  • Biomarkers
  • Diagnostic Tools

Background:

  • Accurate diagnosis of significant liver fibrosis is crucial for managing chronic hepatitis B (CHB).
  • Existing methods may have limitations in predicting fibrosis severity.
  • Inflammatory indicators show potential but require further validation.

Purpose of the Study:

  • To evaluate the predictive value of inflammatory indicators for significant liver fibrosis in CHB patients.
  • To develop and validate a nomogram for predicting significant liver fibrosis.
  • To improve diagnostic accuracy and guide treatment decisions.

Main Methods:

  • A retrospective study involving 563 CHB patients across three cohorts (development, internal validation, independent validation).
  • Analysis of biochemical and serological inflammatory indicators, including Alanine aminotransferase (ALT), aspartate aminotransferase (AST), prothrombin time activity percentage (PTA), and liver stiffness measurement (LSM).
  • Multivariate logistic regression analysis to identify key predictive factors and construct a nomogram.

Main Results:

  • Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were significantly associated with significant liver fibrosis but had limited predictive power alone.
  • The developed nomogram, incorporating ALT, AST, PTA, and LSM, demonstrated excellent predictive performance.
  • Areas under the receiver operating characteristic curve (AUROC) were 0.860 (development), 0.877 (internal validation), and 0.811 (independent validation).

Conclusions:

  • A novel nomogram integrating ALT, AST, PTA, and LSM provides a robust tool for predicting significant liver fibrosis in CHB patients.
  • This nomogram offers improved diagnostic accuracy compared to individual indicators.
  • The findings support the use of this nomogram for optimizing patient management and prognosis in CHB.