Prediction of the Response to Peg-Interferon-Alfa in Patients With HBeAg Positive Chronic Hepatitis B Using Decline of HBV DNA During Treatment

Bettina Hansen, Erik Buster, Ewout Steyerberg, Emmanuel Lesaffre, HLA Janssen

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34 Citations (Scopus)

Abstract

Peginterferon (PEG-IFN) results in HBeAg loss combined with virologic response in only a minority of patients with HBeAg positive chronic hepatitis B. Baseline predictors of response to PEG-IFN include HBV-genotype, pre-treatment HBV DNA levels, and ALT. The aims of this study were to develop a model, which improves the baseline prediction of response to PEG-IFN for individual patients by including early HBV DNA measurements during treatment and to establish an early indication for cessation of treatment. One hundred thirty-six patients treated with PEG-IFN were included in the study. Response was defined as loss of HBeAg and HBV DNA <10,000 copies/ml at 26 weeks post-treatment. Logistic regression analysis techniques were used to develop a dynamic prediction model with HBV DNA during the first 32 weeks of therapy. An early clinically useful rule for dis(continuation) of treatment was identified with a grid of cut-off values of HBV DNA decline during treatment. Adding HBV DNA decline to baseline prediction increased c-statistics from 0.846 to 0.857, 0.855 to 0.866 at weeks 4, 12, and 24. A HBV DNA decline of at least 2 log(10) within 24 weeks was strongly associated with response when added to the baseline prediction model: OR 5.7 (95% Cl: 1.70-20.0; P=0.004). A dynamic model including HBV DNA decline during treatment provides more accurate predictions of response to PEG-IFN. The model strongly supports individual decision making on treatment (dis)continuation in patients with HBeAg positive chronic hepatitis B. It is recommended that PEG-IFN treatment is stopped by 24 weeks if HBV DNA declined <2 log(10). J. Med. Virol. 82:1135-1142, 2010. (C) 2010 Wiley-Liss, Inc.
Original languageUndefined/Unknown
Pages (from-to)1135-1142
Number of pages8
JournalJournal of Medical Virology
Volume82
Issue number7
DOIs
Publication statusPublished - 2010

Research programs

  • EMC MM-04-20-02-A
  • EMC NIHES-01-66-01
  • EMC NIHES-02-65-01

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