On-treatment monitoring of HBV DNA levels: predicting response and resistance to oral antiviral therapy at week 24 versus week 48

Telbivudine therapy for chronic hepatitis B: A journey to identify super-responders and to optimize treatment using the roadmap model

Hepatitis B virus (HBV) infection is one of the most serious health problems worldwide with a high risk for cirrhosis and liver cancer. Several antiviral agents have been approved for the treatment of chronic hepatitis B, leading to a rapid reduction in HBV DNA and normalization of serum alanine aminotransferase levels. Telbivudine, a potent inhibitor of HBV replication, has been shown to be well tolerated. Because of the emergence of drug resistance, optimization strategies for telbivudine therapy have been shown to improve patient responses. Optimal baseline characteristics in so-called super-responders have been used to predict the virological response. Baseline HBV DNA levels < 9 log₁₀ copies/mL (2 × 10⁸  IU/mL) or alanine aminotransferase levels of more than or equal to twofold the upper limit of normal in HBeAg-positive patients and HBV DNA < 7 log₁₀ copies/mL (2 × 10⁶  IU/mL) in HBeAg-negative patients were strong predictors for virological response. In addition, the roadmap model, based on early virological response at week 24 of therapy, is considered as a powerful tool to identify patients at risk of treatment failure (HBV DNA ≥ 300 copies/mL, i.e. 60 IU/mL) and to reduce the risk of antiviral resistance. When considering pre-treatment characteristics and on-treatment responses, telbivudine may provide physicians with a wide choice of options to effectively treat patients with chronic hepatitis B, especially those with or at risk of renal impairment, or women of childbearing age.

Telbivudine for the treatment of chronic hepatitis B in HBeAg-positive patients in China: a health economic analysis

BACKGROUND

Nucleos(t)ide analogs (NUCs) are the standard of care for chronic hepatitis B (CHB). The present analysis aimed to determine the cost effectiveness of NUCs in Chinese healthcare settings.

METHODS

A Markov model was used to simulate two therapeutic strategies for a hypothetical patient cohort diagnosed with hepatitis B e antigen-positive CHB, unwilling or unable to receive interferon therapy, and about to start treatment with any NUC. The first strategy included NUC monotherapy without sequencing (telbivudine [LDT], entecavir [ETV], tenofovir [TDF], lamivudine [LAM], adefovir dipivoxil [ADV], and combination therapies of either LDT and ADV or LDT and TDF, followed by best supportive care [BSC]). The second strategy included sequential therapies of individual NUCs: LAM → ADV, ADV → LAM, LDT → ADV, and ETV → ADV, followed by BSC. The analysis included two scenarios: with and without costs due to nephrotoxicity. Renal impact was quantified as costs alone, without consideration for quality of life decrements.

RESULTS

When renal impact was not considered, without treatment sequencing, LDT was cost effective compared with other NUCs. Amongst the strategies with sequencing, LDT → ADV was cost effective. The results were similar when renal impact was considered. However, LDT strategy demonstrated better cost effectiveness. In probabilistic sensitivity analysis, in both scenarios, LDT → ADV sequence was cost effective with 51 % probability even at willingness to pay of $20,000.

CONCLUSION

Use of LDT, as compared with other NUCs, is cost effective in CHB treatment in Chinese healthcare settings. Considering the detrimental renal impact, overall costs for all treatment options were increased. However, the increase for LDT was comparatively small.

The predictive value of early indicators for HBeAg seroconversion in HBeAg-positive chronic hepatitis B patients with Telbivudine treatment for 104 weeks

PURPOSE

Through an observation on HBeAg-positive chronic hepatits B (CHB) patients in Telbivudine (LDT) treatment for 104 weeks, we tried to explore valuable early predictors for HBeAg seroconversion during the treatment.

MATERIALS AND METHODS

A prospective study lasting for 104 weeks was conducted, and the patients enrolled were administered with LDT 600 mg daily. The medical evaluation went every 12 weeks, then the age distribution, baseline ALT level, early HBVDNA, HBsAg and HBeAg levels at baseline, week 12 and 24 as well as the decrease of the three indicators at week 12 and 24 were analyzed for their predictive values for HBeAg seroconversion at week 104.

RESULT

Thirty-three patients finished the observation. All patients got ALT normalisation and 28 patients (84.84%) got complete virological response (HBV DNA<291 copies/ml) at week 104. Poor virological response and virologic breakthrough was observed in two (6.06%) and three patients (9.09%), respectively. Nine patients (27.27%) got HBeAg seroconversion. HBeAg levels and its decrease levels at week 12 and 24 showed significant differences between patients with and without HBeAg seroconversion. And the HBsAg levels at week 12 and 24 showed tendencies of significant differences in two groups. HBeAg level at week 24 was confirmed related to its longer term seroconversion in regression analysis. The patients with HBeAg level<2.1 S/CO at week 24 would be more possible to get HBeAg seroconversion at week 104, with sensitivity, specificity, positive and negative predictive value of 95.83%, 88.89%, 95.8% and 88.9%, respectively.

CONCLUSION

Good efficacy of long-term LDT treatment in biological and virological response and its advantage in serological response was confirmed again in our study. The HBeAg level at week 24 showed significant value in prediction for HBeAg seroconversion at week 104 compared to other serological markers in the early period.

HBsAg quantification to optimize treatment monitoring in chronic hepatitis B patients

Hepatitis B surface antigen (HBsAg) levels in serum have been shown to reflect active intrahepatic covalently closed circular DNA (cccDNA) and to have additional value as a marker of on-treatment efficacy. In the past few years, immunoassays to quantify HBsAg have been developed to monitor HBsAg kinetics during treatment. Although HBsAg quantification cannot replace HBV DNA measurement in clinical practice, the combined use of HBsAg quantification and HBV DNA measurements could help predict treatment outcome. One of the most important results of the studies in this new marker is that a decline in HBsAg titres during pegylated-interferon (PEG-IFN) treatment is a strong predictor of response so that a 'week 12 stopping rule' could be established for both Hepatitis B e antigen (HBeAg)-positive and HBeAg-negative patients. However, the positive predictive value (PPV) for a sustained viral response (SVR) remains low. The role of HBsAg measurements during nucloes(t)ides analogue (NAs) treatment is unclear. It may be a useful marker for stopping NAs by limiting the chance of relapse or for add-on strategies. Monitoring serum HBsAg levels in chronic hepatitis B (CHB) patients during treatment may provide significant complementary information to HBV DNA measurements.

The cost-effectiveness of treating chronic hepatitis B patients in a median endemic and middle income country

BACKGROUND/AIMS

Chronic hepatitis B (CHB) infection is a serious public health problem due to its potential liver disease sequelae and highly expensive medical costs such as the need for liver transplantation. The aim of this study was to quantify the burden of active CHB in terms of mortality and morbidity, the eligibility of antiviral treatment and to assess various treatment scenarios and possible salvage combinations for cost-effectiveness.

METHODS

A population cohort from a large data base of chronic hepatitis B patients was constructed and stratified according to 10-year age groups, the prevalence of HBsAg, HBV DNA level, ALT level, HBeAg status and the presence of cirrhosis. An age-specific Markov model for disease progression and cost-effectiveness analysis was constructed and calibrated for the specific population setting.

RESULTS

Of about 3.2 million estimated HBsAg carriers, 25% are eligible for treatment. If the active cohort remains untreated, 31% will die due to liver related complications. Within a 20-year period, 11% will have developed decompensated cirrhosis, 12% liver cancer and 6% will need liver transplantation. Quality adjusted life years (QALYs) for the no treatment scenario ranged from 9.3 to 14.0. For scenarios with antiviral treatment, QALYs ranged from 9.9 to 14.5 for lamivudine, 13.0-17.5 for salvage therapy, and 16.6-19.0 for the third generation drugs entecavir and tenofovir.

CONCLUSION

In a country with considerable amount of active CHB patients, monotherapy with a highly potent third generation drug has the most health-gain, and is cost-effective in both HBeAg-positive and negative in all stages of liver disease.

The optimal threshold: Baseline serum hepatitis B virus DNA and alanine transaminase levels can predict the 2-Year on-treatment virological response to lamivudine

BACKGROUND

HBV is still a worldwide health problem. Annually about 0.5-1.2 million patients die of HBV-related diseases such as liver cirrhosis and hepatocellular carcinoma. Lamivudine (LAM) is the first nucleoside analog used in the treatment of chronic hepatitis B. As LAM has been clinically used for a long time, increasing clinical experience has been achieved showing that the resistance mutation rate is relatively high. Numerous studies have also focused on the predictive factors of long-term efficacy of LAM treatment.

OBJECTIVES

To determine the optimal cutoff values of baseline hepatitis B virus (HBV) DNA and alanine transaminase (ALT) levels as predictors for the long-term efficacy of LAM treatment in patients with chronic hepatitis B.

PATIENTS AND METHODS

A total of 163 HBeAg-positive chronic hepatitis B patients receiving LAM treatment were recruited into the present study. Logistic regression analysis was performed to find out the independent predictors of 2-year on-treatment virological response among the baseline parameters. The receiver operating characteristic (ROC) curve was used to evaluate the optimal cutoff values of these independent predictors. The accuracy of the prediction was assessed using the area under curve (AUC) and optimal cutoff values were determined through maximizing the Youden's index.

RESULTS

After 2 years of LAM treatment, undetectable HBV DNA was maintained in 114 (69.9%) patients. LAM-related resistance mutation (YMDD mutation) was detected in 45 (27.6%) patients. Logistic regression analysis indicated that the baseline ALT and HBV DNA levels were the independent predictors of the efficacy. ROC curve analysis suggested the integration parameter derived from the baseline ALT and HBV DNA levels had the maximal predictive value for a 2-year on-treatment virological response. The optimal cutoff values of ALT and HBV DNA were 220 IU/L and 8.2 log10 copies/mL, respectively.

CONCLUSIONS

The incidence of LAM-resistant mutations in HBeAg-positive chronic hepatitis B patients may be significantly reduced and long-term efficacy improved when the baseline ALT was greater than 220 IU/L and HBV DNA was less than 8.2 log10 copies/mL.