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UnknownNCT06196632

Development and Validation of Models to Predict Functional Cure in Patients With CHB After Peg-IFN Based Therapy

Development and Validation of Logistic Regression Models to Predict Durable Functional Cure in Patients With Chronic Hepatitis B After Pegylated Interferon Alpha-2b Based Therapy

Status
Unknown
Phase
Study type
Observational
Enrollment
1,000 (estimated)
Sponsor
Qilu Hospital of Shandong University · Academic / Other
Sex
All
Age
16 Years – 70 Years
Healthy volunteers
Not accepted

Summary

Hepatitis B virus (HBV) infection is prevalent across the world. Functional cure is the optimal endpoint of antiviral therapy for chronic hepatitis B virus (HBV) infection. Currently available anti-HBV therapy includes nucleoside analogs (NAs) and peginterferon-α (Peg-IFNα). Combination of Peg-IFNα and NAs, each with different mechanisms of action, is an attractive approach for treating chronic HBV infection. In this study, we aim to establish logistic regression models to predict durable functional cure in patients with CHB treated by combination of Peg-IFNα and NAs, which might be useful for clinical physicians to make personalized treatment decisions. These models will be constructed using baseline routine clinical laboratory indicators with high diagnostic accuracy. These models might be widely applicable to almost all medical institutions and will effectively promote the application of Peg IFN α plus NAs therapy in clinical work. The findings in this study might greatly improve the functional cure rate of CHB and reducing the incidence rate and mortality of HBV related end-stage liver diseases.

Conditions

Interventions

TypeNameDescription
DRUGPeginterferon-α; Nucleoside analogsPatients with chronic hepatitis B were treated with the combination of peginterferon-α and nucleoside analogs

Timeline

Start date
2024-01-06
Primary completion
2024-07-31
Completion
2025-12-31
First posted
2024-01-09
Last updated
2024-02-07

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT06196632. Inclusion in this directory is not an endorsement.

Development and Validation of Models to Predict Functional Cure in Patients With CHB After Peg-IFN Based Therapy (NCT06196632) · Clinical Trials Directory