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Recruiting NCT06874127

Non-Invasive Model for Fibrosis Regression in HBV Patients

Observational Chronic Hepatitis B Virus (HBV) Infection Liver Fibrosis

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Nucleos(t)ide Analogs (NA).
Who it may be relevant to
Registry conditions: Chronic Hepatitis B Virus (HBV) Infection, Liver Fibrosis. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Establishment and Application of a Non-Invasive Dynamic Model for Fibrosis Regression in Patients with Chronic Hepatitis B

Overview

A total of 1000 chronic hepatitis B (CHB) patients with liver biopsy performed at least 1 year after antiviral therapy are retrospectively enrolled. All the patients received NAs treatment. Blood count, liver function test, alpha fetoprotein (AFP), prothrombin time, liver ultrasonography, liver stiffness measurement (LSM), Hepatitis B virus (HBV) DNA and HBV serological markers were collected. HBV-related endpoint events, including cirrhosis decompensations (ascites, esophageal variceal bleeding and hepatic encephalopathy), hepatocellular carcinoma (HCC), liver transplantation and liver-related death were collected. Fibrosis regression prediction model based on dynamic changes in liver stiffness will be developed based on the retrospective cohort. An independent cohort of CHB patients with liver biopsy performed at least 1 year after antiviral therapy will be retrospectively enrolled for model validation.

Interventions

  • Drug Nucleos(t)ide Analogs (NA)
    all patients received NAs

Primary outcome measures

  • Diagnostic accuracy of non-invasive model for fibrosis regression [Time frame: 5 years]
Secondary outcome measures (5)
  • Incidence of HBV-related clinical endpoint events [Time frame: 7 years]
  • Percentage of HBV-induced liver fibrosis regression [Time frame: 5 years]
  • AUROC of non-invasive model for fibrosis regression [Time frame: 5 years]
  • Sensitivity of non-invasive model for fibrosis regression [Time frame: 5 years]
  • Specificity of non-invasive model for fibrosis regression [Time frame: 5 years]

Eligibility criteria

Inclusion criteria

  • Patients with liver biopsy performed at least 1 year after antiviral therapy;
  • Patients with liver biopsy or liver stiffness or aspartate aminotransferase (AST)-to-platelet (PLT) ratio index (APRI) before antiviral treatment.

Exclusion criteria

  • Patients with decompensated cirrhosis (including ascites, hepatic encephalopathy, esophageal varices bleeding, hepatorenal syndrome, spontaneous bacterial peritonitis, or other complications of decompensated cirrhosis), hepatocellular carcinoma, or liver transplantation before liver biopsy;
  • Patients with hepatitis C virus (HCV) or human immunodeficiency virus (HIV) infection, alcoholic liver disease, autoimmune liver disease, genetic liver disease, drug-induced liver injury, or other chronic liver diseases;
  • Patients with malignant lesion on liver image;
  • Patients with other uncured malignant tumors;
  • Patients with severe heart, lung, kidney, brain, blood, neuropsychiatric or other organs diseases;
  • Pregnant or lactating women;
  • Patients with any other reasons not suitable for the study.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

China · 1 center
  • Beijing Friendship Hospital — Beijing

Identifiers

NCT: NCT06874127 · Z221100007422115 · Z221100007422115

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗