Response-guided peginterferon therapy in hepatitis B e antigen-positive chronic hepatitis B using serum hepatitis B surface antigen levels.

UNLABELLED: On-treatment levels of hepatitis B surface antigen (HBsAg) may predict response to peginterferon (PEG-IFN) therapy in chronic hepatitis B (CHB), but previously proposed prediction rules have shown limited external validity. We analyzed 803 HBeAg-positive patients treated with PEG-IFN in three global studies with available HBsAg measurements. A stopping-rule based on absence of a decline from baseline was compared to a prediction-rule that uses HBsAg levels of <1,500 IU/mL and >20,000 IU/mL to identify patients with high and low probabilities of response. Patients with an HBsAg level <1,500 IU/mL at week 12 achieved response (HBeAg loss with HBV DNA <2,000 IU/mL at 6 months posttreatment) in 45%. At week 12, patients without a decline in HBsAg achieved a response in 14%, compared to only 6% of patients with HBsAg >20,000 IU/mL, but performance varied across HBV genotype. In patients treated with PEG-IFN monotherapy (n = 465), response rates were low in patients with genotypes A or D if there was no decline of HBsAg by week 12 (negative predictive value [NPV]: 97%-100%), and in patients with genotypes B or C if HBsAg at week 12 was >20,000 IU/mL (NPV: 92%-98%). At week 24, nearly all patients with HBsAg >20,000 IU/mL failed to achieve a response, irrespective of HBV genotype (NPV for response and HBsAg loss 99% and 100%). CONCLUSION: HBsAg is a strong predictor of response to PEG-IFN in HBeAg-positive CHB. HBV genotype-specific stopping-rules may be considered at week 12, but treatment discontinuation is indicated in all patients with HBsAg >20,000 IU/mL at week 24, irrespective of HBV genotype.

Hepatitis B surface antigen quantification: why and how to use it in 2011 - a core group report.

Quantitative HBsAg had been suggested to be helpful in management of HBV, but assays were cumbersome. The recent availability of commercial quantitative assays has restarted the interest in quantitative serum hepatitis B surface antigen (HBsAg) as a biomarker for prognosis and treatment response in chronic hepatitis B. HBsAg level reflects the transcriptional activity of cccDNA rather than the absolute amount of cccDNA copies. Serum HBsAg level tends to be higher in hepatitis B e antigen (HBeAg)-positive than HBeAg-negative patients. Among patients with a low HBV DNA (<2000IU/ml), HBsAg <1000IU/ml in genotype D HBV infection and HBsAg <100IU/ml in genotype B/C HBV infection is associated with inactive carrier state in HBeAg-negative patients. The HBsAg reduction by nucleos(t)ide analogues (NA) is not as pronounced as by interferon treatment. On peginterferon treatment, sustained responders tend to show greater HBsAg decline than the non-responders. The optimal on-treatment HBsAg cutoff to predict response needs further evaluation in HBeAg-positive patients, but an absence of HBsAg decline together with a <2 log reduction in HBV DNA at week 12 can serve as stopping rule in HBeAg-negative patients with genotype D HBV infection. A rapid serum HBsAg decline during NA therapy may identify patients who will clear HBsAg in the long-term. There are early reports among Asian patients that an HBsAg level of <100IU/ml might predict lower risk of relapse after stopping NA treatment. In clinical practice, serum HBsAg level should be used together with, but not as a substitute for, HBV DNA.

Comparing the safety, tolerability and quality of life in patients with chronic hepatitis B vs chronic hepatitis C treated with peginterferon alpha-2a.

BACKGROUND/AIMS: Hepatitis B and C viruses (HBV and HCV) are two clinically distinct but related diseases. Pooled data from five studies of peginterferon alpha-2a in patients with chronic HCV infection (CHC) were compared with two studies of the drug in patients with chronic HBV infection (CHB). METHOD: The HBV studies included both hepatitis B e antigen (HBeAg)-positive (n=271) and HBeAg-negative (n=177) patients; 791 patients took part in the HCV trials. In all studies, patients were treated with 180 microg peginterferon alpha-2a monotherapy once weekly for 48 weeks. The number of adverse events (AEs), discontinuations and dose modifications were documented. Health-related quality of life (HRQL) was assessed using the Short-Form 36 questionnaire. Safety was assessed throughout the treatment period. A 24-week treatment-free follow-up period was also included. RESULTS: Differences (HBV vs HCV) were observed in the incidence of AEs (88-89 vs 96-100%), serious AEs (4-5 vs 7-16%) and treatment withdrawals (6-8 vs 17-33%). The frequency of depression-related events was lower in CHB patients (4 vs 22%, P<0.001), as was the impact of treatment on HRQL. CONCLUSIONS: The safety and tolerability of peginterferon alpha-2a in patients with CHB compares favourably with that observed in CHC patients, with a lower incidence of common interferon-related AEs and a significantly lower incidence of depression.

[Factors associated with HBeAg seroconversion in chronic hepatitis B patients treated with interferon alfa-2a].

OBJECTIVE: The aim of this paper was to investigate the factors associated with viral response and HBeAg seroconversion and the relationship between them at different stages of interferon treatment in HBeAg-positive chronic hepatitis B patients. METHODS: PEG-IFN alfa-2a was injected subcutaneously in doses of 180 microg once a week for 48 weeks to HBeAg-positive chronic hepatitis B patients, and the patients were followed for another 24 weeks after the treatment. The serum HBV DNA load was measured by real-time quantitative PCR assay. Microparticle enzyme immunoassay analysis (MEIA) was then carried out by an automatic enzyme immunoassay analysis instrument to measure HBeAg and anti-HBe. Virological response and HBeAg seroconversion rates, and the factors associated with them were analyzed. RESULTS: The differences in ALT baselines between viral responding and non-responding groups were significant at treatment time and at the end of the follow-up period. These differences were also significant in patients with HBeAg seroconversion at 12 weeks and at the end of the follow-up period compared with the non-conversion group. No significant difference of HBV DNA baseline was observed between the HBeAg seroconversion and non-conversion group. At 12, 24 and 48 weeks, in patients with viral response during the treatment, their HBeAg seroconversion rates were 43.8%, 21.4% and 18.9% respectively; their respective HBeAg seroconversion rates remaining at 72 weeks were 42.9%, 33.3% and 27.6%. HBeAg seroconversion was related to HBV DNA negativity at 48 weeks treatment in the multivariate analysis (OR=2.15, 95.0% CI=1.744-2.664, P less than 0.01). CONCLUSIONS: Viral response and early and sustained HBeAg seroconversion were associated with pretreatment ALT levels. HBeAg seroconversion was related to viral response during IFN treatment, but not to the baseline HBV DNA load.

[Retreatment with interferon of relapsed chronic hepatitis C patients].

OBJECTIVE: To evaluate the efficacy and investigate the influencing factors of the interferon (IFN) retreatment for patients with chronic hepatitis C relapsed after a previous IFN treatment. METHODS: A retrospective study was designed to analyze the retreatment with IFN of 60 relapsed chronic hepatitis C patients. All patients were from a randomized, opened and multi-center clinical trial about the efficacy and security of PEG-IFNalpha-2a compared to CIFNalpha-2a in the treatment of chronic hepatitis C in China. There were 35 patients treated with PEG-IFNalpha-2a and 25 with CIFNalpha-2a. The main parameter to evaluate the efficacy was sustained viral response (SVR) rate. The influence of viral concentration in serum, genotype and drug categories on the responses to IFN were analyzed. RESULTS: For all the patients, the end of treatment virus response (ETVR) and SVR rates were 55.00% and 35.00% respectively. ETVR rate of PEG-IFNalpha-2a was significantly higher than that of CIFNalpha-2a (74.29% and 28.00% respectively, P < 0.01). SVR rate of PEG-IFNalpha-2a was also markedly higher than that of CIFNalpha-2a (45.71% and 20.00% respectively, P < 0.05). However, there was no significant difference between the high and low viral load groups. Among the patients with genotype 1, ETVR and SVR rates of PEG-IFNalpha-2a (75.00%, 45.83%) were significantly higher than those of CIFNalpha-2a (22.22%, 11.11%), (P < 0.01, P < 0.05 respectively), but in patients with genotype non-1, there were no such differences between the two groups. CONCLUSION: Some relapsed patients were not responsive to the IFN retreatment. The efficacy of PEG-IFNalpha-2a was superior to CIFNalpha-2a. The conventional IFN was not suggested to be used in the relapsed cases with genotype 1. The viral load was not associated with the efficacy of IFN retreatment.

Predictive factors for sustained response to interferon treatment in patients with chronic hepatitis C: a randomized, open, and multi-center controlled trial.

BACKGROUND: This study was undertaken to investigate the predictive factors of sustained viral response in roferon-A or pegasys treated chronic hepatitis C patients after logistic regression analysis of the factors that might be associated with the therapeutic effects of interferon (IFN). METHODS: All patients enrolled into this randomized, open and multi-center controlled trial were divided into two groups randomly and treated with pegasys and roferon-A for 24 weeks, then followed up for another 24 weeks. Before treatment, hepatitis C virus (HCV) genotype was determined, and HCV-RNA in serum was detected before and at the end of treatment and follow-up. HCV-RNA turning negative was considered the major index for evaluating the therapeutic effect. The clinical characteristics including gender, age, infection route of HCV, treatment with IFN, platelet count, AST/ALT ratio and treatment drugs were analyzed by logistic regression. RESULTS: Intention to treat (ITT) and per-protocol (PP) population groups have 208 and 197 patients respectively. In the PP group, after treatment for 24 weeks, the response rates of female patients aged less than 50 years, infected through non-transfusion, relapsed after IFN treatment, and presented with a AST/ALT ratio/=1, virus load equal or more than 8 x 10(5) IU/ml, and genotype 1 infection, and treated finally with roferon-A. But, at the end of follow-up, the patients with a AST/ALT ratio>/=1 and virus load more than 8 x 10(5) IU/ml had a higher rate of sustained response than did those with a AST/ALT ratio

Impact of virus genotype on interferon treatment of patients with chronic hepatitis C: a multicenter controlled study.

BACKGROUND: Some factors have been reported to be associated with a greater likelihood of sustained viral response (SVR) in the interferon (IFN) treatment of chronic hepatitis C. The factors include HCV genotype, HCV RNA level in serum, state of liver disease, baseline body weight, age, sex, and race. The aim of this trial was to investigate the influence of HCV genotype on the IFN treatment of patients with chronic hepatitis C. METHODS: The genotypes of HCV virus were determined in the patients with chronic hepatitis C from several hospitals of China enrolled into the randomized, opened and controlled trial of Peg-IFN alpha-2a (pegasys) treatment, controlled with IFN-alpha-2a (roferon-A). The serum ALT levels and HCV RNA concentrations of the patients were detected before and at the end of treatment and during the follow-up. The influence of HCV genotype on the IFN treatment of patients with chronic hepatitis C was analyzed in intention-to-treat (ITT) population. RESULTS: The HCV genotypes of 202 patients were determined. Of these patients, 158(78.22%) were infected with genotype 1 HCV and 44(21.78%) with genotype non-1. The viral response at the end of treatment (ETVR) and sustained viral response (SVR) rates were 53.80% and 25.32% respectively in patients with genotype 1 HCV, but they were 61.36% and 43.18% in patients with genotype non-1. The difference of SVR between patients with genotype 1 HCV and those with genotype non-1 was significant (P=0.021). After being grouped by the used drugs, the ETVR rates of patients infected with genotype 1 and non-1 HCV were 76.83% and 80.95% in the patients treated with pegasys (P=0.686); but their SVR rates were 35.37% and 66.67% (P=0.01). The viral relapse rate of genotype 1 HCV (55.56%) was significantly higher than that of genotype non-1 HCV (23.53%) (P=0.02). In roferon-A group, the ETVR and SVR rates of patients with genotype 1 HCV were 28.95% and 14.47% respectively, which were lower but not more significant than those of patients with genotype non-1 HCV (43.48% and 21.74%). Moreover, the viral relapse rate of genotype 1 HCV (72.73%) was higher but not more significant than that of genotype non-1 HCV (50.00%) (P=0.21). CONCLUSION: HCV genotype could affect the efficacies, mainly sustained responses, of IFN treatment in patients with chronic hepatitis C, and the effects of IFN are related to drugs and therapeutic course.

[The pegasys using and HCV genotype were the independent predictors of the response to antiviral therapy in chronic hepatitis C].

OBJECTIVE: To investigate the predictors of IFN therapy in patients with chronic hepatitis C through making the multivariate logistic regression analysis. METHODS: The patients in the opened, randomized and controlled trial were enrolled into two group, pegasys and Roferon-A group, and were given 24 weeks of pegasys (injection of 180 microg a week), and Roferon-A (injection three times of Roferon-A 3 MU a week) therapy, and followed 24 weeks. The HCV RNA content was determined at the time before, end of treatment and at the followed-up. The association of the response to the treatment with the clinical characteristics including age, gender, way of HCV infection, history of IFN treatment, planet count, AST/ALT ratio, HCV RNA level, HCV genotype and treatment drugs was made trough multivariate logistic regression analysis. RESULTS: The PP population containing 197 cases was analyzed. After controlling for age, gender, way of HCV infection, history of IFN treatment, planet count, AST/ALT ratio, HCV RNA level and treatment, the HCV genotype was not predictor of the end of treatment viral response (ETVR) to IFN therapy (OR 0.604, 95% CI 0.271-1.349, P = 0.219), but was the independent predictor of sustained viral response (SVR) (OR 0.408, 95% CI 0.189-0.881, P = 0.023). After controlling for other characteristics, the treatment drug was the predictors of ETVR (OR 0.105, 95% CI 0.052-0.212, P < 0.001) and SVR (OR 0.255, 95% CI 0.123-0.529, P < 0.001). CONCLUSION: The pegasys using and HCV genotype were the independent predictors of the response to antiviral therapy in chronic hepatitis C.

[The influence of HCV genotype on the IFN treatment of patients with chronic hepatitis C].

OBJECTIVE: To investigate the influence of HCV genotype on the IFN treatment of patients with chronic hepatitis C. METHODS: The genotypes of HCV virus were determined in the patients enrolled into the Randomized, opened and controlled trial of Peg-IFN alpha-2a (Pegasys) treatment, controlled with IFN-alpha-2a (Roferon-A), on chronic hepatitis C patients in China. The serum ALT levels and HCV RNA concentration of the patients were detected in the time of before treatment, the end of therapy and follow-up. The influence of HCV genotype on the IFN treatment of patients with chronic hepatitis C was analyzed in intention to treat (ITT) population. RESULTS: The HCV genotypes of 202 cases were determined. 158 (78.2%) cases infected with genotype 1 HCV and 44 (21.8%) cases with genotype non-1. For overall patients, the viral response at the end of treatment (ETVR) and sustained viral response (SVR) rates were 53.8% and 25.3% respectively in patients with genotype 1 HCV, but in genotype non-1 patients those was 61.4% and 43.2%, and the difference of SVR between genotype 1 and non-1 was significant (P=0.021). After grouped by the used drugs, in the patients given Pegasys treatment, the ETVR rates of patients with genotype 1 and non-1 HCV infection were 76.8% and 81.0%, the difference was not significant (P=0.686), but the difference of SVR rates, which were 35.4% and 66.7%, of the patients was significant (P=0.01). The viral relapse rate of genotype 1 was 55.6%; it was significant higher than that of genotype non-1 (23.5%) (P=0.02). In Roferon-A group, the ETVR and SVR rates of patients with genotype 1 HCV were 29.0% and 14.5%, which were lower, but not significant, than those of patients with genotype non-1 (43.5% and 21.7%). The viral relapse rate of genotype 1 was 72.7% and higher, but not significant, than that of genotype non-1 also (50.0%) (P=0.21). CONCLUSION: HCV genotype could affects the efficacies, mainly the sustained responses, of IFN treatment of patients with chronic hepatitis C, and the effects of IFN were related to the kinds of drugs and therapeutic course.

Increasing newly diagnosed rate and changing risk factors of HCV in Yanbian Prefecture, a high endemic area in China.

BACKGROUND: The newly diagnosed rate of HCV infection is increasing in China. However, the risk factors have not been fully identified. Here, a survey was performed in Yanbian Prefecture, a high-endemic area in China. METHODS: We identified newly diagnosed HCV infection in 2007-2011, using the local National Disease Supervision Information Management System from the Chinese Center for Disease Control and Prevention. We determined the risk factors using a case-control survey by questionnaire. RESULTS: Yanbian Prefecture had a rapid increase in the yearly newly diagnosed rate of HCV infection from 32.6 to 72.1/100.000 from the year 2007 to 2011. People aged 50-64 years had a high HCV infection of 43.4%, but only 0.3% of cases were reported in those aged less than 20 years. Cosmetic treatment, family history, blood transfusion, and dental treatment were independent risk factors for HCV infection. Unexpectedly, cosmetic treatments [odd ratio (OR) = 5.15, 95% confidence interval (CI) = 2.31-11.48, P = 0.00] and family history (OR = 4.68, 95% CI = 2.67-8.75, P = 0.00) showed a higher risk than the conventional risk factors of blood transfusion (OR = 4.49, 95% CI = 1.95-10.37, P = 0.001) and dental treatment (OR = 2.98, 95% CI = 1.42-6.25, P = 0.00). To further analyze the intrafamilial transmission, we found that spouses of HCV patients had an increased risk for acquiring HCV (OR = 5.75, 95% CI: 1.94-17.07), without significant association between either HCV RNA viral load (P = 0.29) or genotype (P = 0.43). CONCLUSIONS: HCV infection was increased in Yanbian Prefecture. Cosmetic treatment was a higher risk factor than medical procedure. HCV infection had a clear family clustering phenomenon, especially between spouses.