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Recruiting NCT05766449

Risk Factors for Hepatic Inflammation, Fibrosis and Prognosis in Patients With CHB and NAFLD

Observational Chronic Hepatitis b Non-alcoholic Fatty Liver Disease

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
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Chronic Hepatitis b, Non-alcoholic Fatty Liver Disease. 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

Risk Factors for Hepatic Inflammation, Fibrosis and Prognosis in Patients With Chronic Hepatitis B Combined With Non-alcoholic Fatty Liver Disease

Overview

Chronic hepatitis B (CHB) affects an estimated 292 million people, and causes approximately 800,000 people deaths per year from liver-related complications including cirrhosis and hepatocellular carcinoma, remaining a major global public health issue.Meanwhile, with the improvement of living standards and changes in lifestyle and dietary habits, non-alcoholic fatty liver disease (NAFLD) has become another important cause of liver cirrhosis and HCC.HBV combined with NAFLD inevitably develops into continuous or intermittent liver inflammation and fibrosis, which greatly increases the risk of cirrhosis, liver cancer and even end-stage liver disease. We aimed to investigate the risk factors and establish diagnostic models for hepatic inflammation, fibrosis in patients with CHB associated NAFLD. In addition, to find risk factors for liver cirrhosis, liver cancer or liver failure in patients with CHB-related NAFLD.

Detailed description

Chronic hepatitis B (CHB) affects an estimated 292 million people, and causes approximately 800,000 people deaths per year from liver-related complications including cirrhosis and hepatocellular carcinoma, remaining a major global public health issue.Meanwhile, with the improvement of living standards and changes in lifestyle and dietary habits, non-alcoholic fatty liver disease (NAFLD) has become another important cause of liver cirrhosis and HCC.HBV combined with NAFLD inevitably develops into continuous or intermittent liver inflammation and fibrosis, which greatly increases the risk of cirrhosis, liver cancer and even end-stage liver disease. We aimed to investigate the risk factors and establish diagnostic models of hepatic inflammation and fibrosis in CHB associated NAFLD patients using a multicenter study. In addition, to find risk factors for liver cirrhosis, liver cancer or liver failure in patients with CHB-related NAFLD.

Primary outcome measures

  • Risk factors for hepatic inflammation or fibrosis in chronic hepatitis B patients with non-alcoholic fatty liver disease [Time frame: 0 year]
  • Risk factors of chronic hepatitis B patients with non-alcoholic fatty liver disease progressing to cirrhosis, liver cancer or liver failure [Time frame: 1 year]
  • Risk factors of chronic hepatitis B patients with non-alcoholic fatty liver disease progressing to cirrhosis, liver cancer or liver failure [Time frame: 3 years]
  • Risk factors of chronic hepatitis B patients with non-alcoholic fatty liver disease progressing to cirrhosis, liver cancer or liver failure [Time frame: 5 years]
Secondary outcome measures (6)
  • Establishment a diagnostic model for hepatic inflammation in chronic hepatitis B patients with non-alcoholic fatty liver disease [Time frame: 0 year]
  • Establishment a diagnostic model for hepatic fibrosis in patients with chronic hepatitis B and non-alcoholic fatty liver disease [Time frame: 0 year]
  • Establishment predictive models for the progression of chronic hepatitis B patients with non-alcoholic fatty liver disease to cirrhosis, liver cancer or liver failure [Time frame: 1 year]
  • Establishment predictive models for the progression of chronic hepatitis B patients with non-alcoholic fatty liver disease to cirrhosis, liver cancer or liver failure [Time frame: 3 years]
  • Establishment predictive models for the progression of chronic hepatitis B patients with non-alcoholic fatty liver disease to cirrhosis, liver cancer or liver failure [Time frame: 5 years]
  • Incidence of cirrhosis, cancer and liver failure in patients with chronic hepatitis B and non-alcoholic fatty liver disease [Time frame: 5 years]

Eligibility criteria

Inclusion criteria

1.18 years or older 2. Positive hepatitis B surface antigen (HBsAg) for at least 6 months and without other viral co-infection at baseline 2.NAFLD diagnosed by imaging liver biopsy, and/or blood testing/predictive indices

Exclusion criteria

  • Other chronic liver diseases, such as alcoholic liver disease, other viral hepatitis, drug-induced liver injury;
  • HCC or other malignancies before liver biopsy;

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
  • Nanjing Drum Tower Hospital — Nanjing

Publications

  • Rui F, Xu L, Yeo YH, Xu Y, Ni W, Tan Y, Zheng Q, Tian X, Zeng QL, He Z, Qiu Y, Zhu C, Ding W, Wang J, Huang R, Xue Q, Wang X, Chen Y, Fan J, Fan Z, Ogawa E, Kwak MS, Qi X, Shi J, Wong VW, Wu C, Li J. Machine Learning-Based Models for Advanced Fibrosis and Cirrhosis Diagnosis in Chronic Hepatitis B Patients With Hepatic Steatosis. Clin Gastroenterol Hepatol. 2024 Nov;22(11):2250-2260.e12. doi: 10.1 PMID 38906440
  • Rui F, Yeo YH, Xu L, Zheng Q, Xu X, Ni W, Tan Y, Zeng QL, He Z, Tian X, Xue Q, Qiu Y, Zhu C, Ding W, Wang J, Huang R, Xu Y, Chen Y, Fan J, Fan Z, Qi X, Huang DQ, Xie Q, Shi J, Wu C, Li J. Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study. EClinicalMedicine. 2024 Jan 16;68:102419. doi: 10.1 PMID 38292041

Identifiers

NCT: NCT05766449 · CHB AND NAFLD

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗