A predictive model for functional cure in chronic HBV patients treated with pegylated interferon alpha: a comparative study of multiple algorithms based on clinical data
The combined use of the baseline log<sub>2</sub>(HBsAg) value, HBsAg decline rate at week 12, gender, neutrophil count at week 12, and age can serve as a foundational predicting model for anticipating the clearance of HBsAg in individuals with chronic hepatitis B who are receiving PEG-INFα therapy.
Authors
- Lina Zhou (ORCID: https://orcid.org/0000-0003-1973-5667)
- Yunbin Ye (ORCID: https://orcid.org/0000-0002-0256-987X)
- Yong Lin (ORCID: https://orcid.org/0000-0001-9171-0195)
- Chun Lin (ORCID: https://orcid.org/0000-0002-7141-2446)
- Wenyan Yang (ORCID: https://orcid.org/0009-0003-5235-4783)
- Fang Sun (ORCID: https://orcid.org/0000-0002-7278-628X)
- Chen Pan (ORCID: https://orcid.org/0000-0002-9841-7300)
Institutions
- Fujian Medical University (CN)
- Mengchao Hepatobiliary Hospital (CN)
Publication Details
- Journal
- Virology Journal
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1186/s12985-024-02599-1
- Citations
- 3
- Primary Topic
- Hepatitis B Virus Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Natural Science Foundation of China
- Fujian Medical University