Validation of PAGE-B model in Asian chronic hepatitis B patients receiving entecavir or tenofovir

Hepatocellular Carcinoma Risk Scores from Modeling to Real Clinical Practice in Areas Highly Endemic for Hepatitis B Infection

Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers and represents a global health challenge. Liver cancer ranks third in cancer-related mortality with 830,000 deaths and sixth in incidence with 906,000 new cases annually worldwide. HCC most commonly occurs in patients with underlying liver disease, especially chronic hepatitis B virus (HBV) infection in highly endemic areas. Predicting HCC risk based on scoring models for patients with chronic liver disease is a simple, effective strategy for identifying and stratifying patients to improve the early diagnosis rate and prognosis of HCC. We examined 23 HCC risk scores published worldwide in CHB patients with (n=10) or without (n=13) antiviral treatment. We also described the characteristics of the risk score's predictive performance and application status. In the future, higher predictive accuracy could be achieved by combining novel technologies and machine learning algorithms to develop and update HCC risk score models and integrated early warning and diagnosis systems for HCC in hospitals and communities.

HCC prediction models in chronic hepatitis B patients receiving entecavir or tenofovir: a systematic review and meta-analysis

BACKGROUND

Our study aimed to compare the predictive performance of different hepatocellular carcinoma (HCC) prediction models in chronic hepatitis B patients receiving entecavir or tenofovir, including discrimination, calibration, negative predictive value (NPV) in low-risk, and proportion of low-risk.

METHODS

We conducted a systematic literature research in PubMed, EMbase, the Cochrane Library, and Web of Science before January 13, 2022. The predictive performance was assessed by area under receiver operating characteristic curve (AUROC), calibration index, negative predictive value, and the proportion in low-risk. Subgroup and meta-regression analyses of discrimination and calibration were conducted. Sensitivity analysis was conducted to validate the stability of the results.

RESULTS

We identified ten prediction models in 23 studies. The pooled 3-, 5-, and 10-year AUROC varied from 0.72 to 0.84, 0.74 to 0.83, and 0.76 to 0.86, respectively. REAL-B, AASL-HCC, and HCC-RESCUE achieved the best discrimination. HCC-RESCUE, PAGE-B, and mPAGE-B overestimated HCC development, whereas mREACH-B, AASL-HCC, REAL-B, CAMD, CAGE-B, SAGE-B, and aMAP underestimated it. All models were able to identify people with a low risk of HCC accurately. HCC-RESCUE and aMAP recognized over half of the population as low-risk. Subgroup analysis and sensitivity analysis showed similar results.

CONCLUSION

Considering the predictive performance of all four aspects, we suggest that HCC-RESCUE was the best model to utilize in clinical practice, especially in primary care and low-income areas. To confirm our findings, further validation studies with the above four components were required.

Risk stratification and early detection biomarkers for precision HCC screening

Hepatocellular carcinoma (HCC) mortality remains high primarily due to late diagnosis as a consequence of failed early detection. Professional societies recommend semi-annual HCC screening in at-risk patients with chronic liver disease to increase the likelihood of curative treatment receipt and improve survival. However, recent dynamic shift of HCC etiologies from viral to metabolic liver diseases has significantly increased the potential target population for the screening, whereas annual incidence rate has become substantially lower. Thus, with the contemporary HCC etiologies, the traditional screening approach might not be practical and cost-effective. HCC screening consists of (i) definition of rational at-risk population, and subsequent (ii) repeated application of early detection tests to the population at regular intervals. The suboptimal performance of the currently available HCC screening tests highlights an urgent need for new modalities and strategies to improve early HCC detection. In this review, we overview recent developments of clinical, molecular, and imaging-based tools to address the current challenge, and discuss conceptual framework and approaches of their clinical translation and implementation. These encouraging progresses are expected to transform the current "one-size-fits-all" HCC screening into individualized precision approaches to early HCC detection and ultimately improve the poor HCC prognosis in the foreseeable future.

External validation of the PAGE-B score for HCC risk prediction in people living with HIV/HBV coinfection

BACKGROUND & AIMS

HBV coinfection is common among people living with HIV (PLWH) and is the most important cause of hepatocellular carcinoma (HCC). While risk prediction tools for HCC have been validated in patients with HBV monoinfection, they have not been evaluated in PLWH. Thus, we performed an external validation of PAGE-B in people with HIV/HBV coinfection.

METHODS

We included data on PLWH from four European cohorts who were positive for HBsAg and did not have HCC before starting tenofovir. We estimated the predictive performance of PAGE-B for HCC occurrence over 15 years in patients receiving tenofovir-containing antiretroviral therapy. Model discrimination was assessed after multiple imputation using Cox regression with the prognostic index as a covariate, and by calculating Harrell's c-index. Calibration was assessed by comparing our cumulative incidence with the PAGE-B derivation study using Kaplan-Meier curves.

RESULTS

In total, 2,963 individuals with HIV/HBV coinfection on tenofovir-containing antiretroviral therapy were included. PAGE-B was <10 in 26.5%, 10-17 in 57.7%, and ≥18 in 15.7% of patients. Within a median follow-up of 9.6 years, HCC occurred in 68 individuals (2.58/1,000 patient-years, 95% CI 2.03-3.27). The regression slope of the prognostic index for developing HCC within 15 years was 0.93 (95% CI 0.61-1.25), and the pooled c-index was 0.77 (range 0.73-0.80), both indicating good model discrimination. The cumulative incidence of HCC was lower in our study compared to the derivation study. A PAGE-B cut-off of <10 had a negative predictive value of 99.4% for the development of HCC within 5 years. Restricting efforts to individuals with a PAGE-B of ≥10 would spare unnecessary HCC screening in 27% of individuals.

CONCLUSIONS

For individuals with HIV/HBV coinfection, PAGE-B is a valid tool to determine the need for HCC screening.

IMPACT AND IMPLICATIONS

Chronic HBV infection is the most important cause of hepatocellular carcinoma (HCC) among people living with HIV. Valid risk prediction may enable better targeting of HCC screening efforts to high-risk individuals. We aimed to validate PAGE-B, a risk prediction tool that is based on age, sex, and platelets, in 2,963 individuals with HIV/HBV coinfection who received tenofovir-containing antiretroviral therapy. In the present study, PAGE-B showed good discrimination, adequate calibration, and a cut-off of <10 had a negative predictive value of 99.4% for the development of HCC within 5 years. These results indicate that PAGE-B is a simple and valid risk prediction tool to determine the need for HCC screening among people living with HIV and HBV.

Hepatitis B Virus-Associated Hepatocellular Carcinoma

Hepatitis B virus (HBV) is DNA-based virus, member of the Hepadnaviridae family, which can cause liver disease and increased risk of hepatocellular carcinoma (HCC) in infected individuals, replicating within the hepatocytes and interacting with several cellular proteins. Chronic hepatitis B can progressively lead to liver cirrhosis, which is an independent risk factor for HCC. Complications as liver decompensation or HCC impact the survival of HBV patients and concurrent HDV infection worsens the disease. The available data provide evidence that HBV infection is associated with the risk of developing HCC with or without an underlying liver cirrhosis, due to various direct and indirect mechanisms promoting hepatocarcinogenesis. The molecular profile of HBV-HCC is extensively and continuously under study, and it is the result of altered molecular pathways, which modify the microenvironment and lead to DNA damage. HBV produces the protein HBx, which has a central role in the oncogenetic process. Furthermore, the molecular profile of HBV-HCC was recently discerned from that of HDV-HCC, despite the obligatory dependence of HDV on HBV. Proper management of the underlying HBV-related liver disease is fundamental, including HCC surveillance, viral suppression, and application of adequate predictive models. When HBV-HCC occurs, liver function and HCC characteristics guide the physician among treatment strategies but always considering the viral etiology in the treatment choice.

Validation of the PAGE-B score to predict hepatocellular carcinoma risk in caucasian chronic hepatitis B patients on treatment

BACKGROUND

Several risk scores have been developed to predict hepatocellular carcinoma (HCC) risk in chronic hepatitis B (CHB) patients. The majority of risk scores are based on pretreatment variables that are no longer considered risk factors for HCC development due to the suppression of hepatitis B virus replication early in the course of potent antiviral treatment in most patients. The PAGE-B score, which is based on platelet levels, age and sex, has been shown to accurately predict HCC risk in CHB patients on antiviral treatment in various populations.

AIM

We aimed to evaluate the PAGE-B score in predicting HCC risk in Turkish CHB patients on antiviral treatment.

METHODS

In this study, we recruited 742 CHB patients who had been treated with tenofovir disoproxil fumarate or entecavir for ≥ 1 year. Risk groups were determined according to the PAGE-B scores as follows: ≤ 9, low; 10-17, moderate and ≥ 18, high. The cumulative HCC incidences in each risk group were computed using Kaplan-Meier analysis and were compared using the log-rank test. The accuracy of the PAGE-B score in predicting HCC risk was evaluated using a time-dependent area under the receiver operating characteristic (AUROC) curve at all study time points. Univariate and multivariate logistic regression analyses were used to assess the risk factors for HCC development.

RESULTS

The mean follow-up time was 54.7 ± 1.2 mo. HCC was diagnosed in 26 patients (3.5%). The cumulative HCC incidences at 1, 3, 5 and 10 years were 0%, 0%, 0% and 0.4% in the PAGE-B low-risk group; 0%, 1.2%, 1.5% and 2.1% in the PAGE-B moderate-risk group; and 5%, 11.7%, 12.5%, and 15% in the PAGE-B high-risk group, respectively (log-rank P < 0.001). The AUROCs of the PAGE-B score in the prediction of HCC development at 1, 3, 5 and 10 years were 0.977, 0.903, 0.903 and 0.865, respectively. In the multivariable analysis, older age, male sex, lower platelet levels, presence of cirrhosis, and absence of alanine aminotransferase normalization at month 6 were associated with HCC development (all P < 0.05).

CONCLUSION

The PAGE-B score is a practical tool to predict HCC risk in Turkish patients with CHB and may be helpful to improve surveillance strategies.

Hepatocellular Carcinoma Prediction Models in Chronic Hepatitis B: A Systematic Review of 14 Models and External Validation

BACKGROUND & AIMS

The aim of our study was to characterize the performance of hepatocellular carcinoma (HCC) prediction models in chronic hepatitis B (CHB) patients through meta-analysis followed by external validation.

METHODS

We performed a systematic review and meta-analysis of current literature, followed by external validation in independent multi-center cohort with 986 patients with CHB undergoing entecavir treatment (median follow-up: 4.7 years). Model performance to predict HCC within 3, 5, 7, and 10 years was assessed using area under receiver operating characteristic curve (AUROC) and calibration index. Subgroup analysis were conducted by treatment status, cirrhotic, race and baseline alanine aminotransferase.

RESULTS

We identified 14 models with 123,885 patients (5,452 HCC cases), with REACH-B, CU-HCC, GAG-HCC, PAGE-B and mPAGE-B models being broadly externally validated. Discrimination was generally acceptable for all models, with pooled AUC ranging from 0.70 (95% CI, 0.63-0.76 for REACH-B) to 0.83 (95% CI, 0.78-0.87 for REAL-B) for 3-year, 0.68 (95% CI, 0.64-0.73 for REACH-B) to 0.81 (95% CI, 0.77-0.85 for REAL-B) for 5-year and 0.70 (95% CI, 0.58-0.80 for PAGE-B) to 0.81 (95% CI, 0.78-0.84 for REAL-B and 0.77-0.86 for AASL-HCC) for 10-year prediction. However, calibration performance was poorly reported in most studies. In external validation cohort, REAL-B showed highest discrimination with 0.76 (95% CI, 0.69-0.83) and 0.75 (95% CI, 0.70-0.81) for 3 and 5-year prediction. The REAL-B model was also well calibrated in the external validation cohort (3-year Brier score 0.066). Results were consistent in subgroup analyses.

CONCLUSIONS

In a systematic review of available HCC models, the REAL-B model exhibited best discrimination and calibration.

External validation of hepatocellular carcinoma risk scores in patients with chronic hepatitis B virus infection in China

Several scores have been proposed in untreated or treated patients with chronic hepatitis B (CHB) to predict risks of hepatocellular carcinoma (HCC) occurrence. However, it is still unclear which score suits all chronic hepatitis B virus (HBV)-infected patients well, regardless of whether they are chronic carriers or CHB patients. In this study, we validated and compared the predictability of CU-HCC, REACH-B, PAGE-B and mPAGE-B in patients with chronic HBV infection in China. 1,786 patients with no history of HCC were recruited, with 978 carriers and 808 CHB patients on antiviral therapy. Patients were classified into low- and high-risk groups according to the predefined cut-off values of 5, 8, 10 and 9 for CU-HCC, REACH-B, PAGE-B and mPAGE-B. The median follow-up period was 43.7months, during which 18 (1.0%) patients developed HCC. The areas under the receiver operating characteristic curves (AUROCs) of CU-HCC, REACH-B, PAGE-B and mPAGE-B scores to predict HCC risk at 36 months were 0.815, 0.703, 0.794 and 0.825, respectively (all p < 0.05). No significant difference among AUROCs of these scores was observed except those of mPAGE-B and REACH-B at 36 months. The cumulative incidence of HCC in low- and high- risk groups based on CU-HCC, REACH-B, PAGE-B and mPAGE-B were 0.4% vs. 3.2%, 0.7% vs. 1.5%, 0.2% vs. 1.3%, and 0.2% vs. 1.7% at 36 months, respectively (all p < 0.05, except PAGE-B, log-rant test). Both CU-HCC and mPAGE-B scores accurately predict HCC risk in Chinese chronic HBV-infected patients. Patients with CU-HCC <5 or mPAGE-B <9 could be exempt from HCC surveillance within 36 months.

Surveillance for hepatocellular carcinoma in chronic viral hepatitis: Is it time to personalize it?

Surveillance with abdominal ultrasound with or without alpha-fetoprotein is recommended by clinical practice guidelines for patients who are considered to be at risk of developing hepatocellular carcinoma (HCC), including those with cirrhosis, advanced fibrosis and special subgroups of chronic hepatitis B (CHB). Application of the standard surveillance strategy to all patients with chronic liver disease (CLD) with or without cirrhosis imposes major sustainability and economic burdens on healthcare systems. Thus, a number of HCC risk scores were constructed, mainly from Asian cohorts, to stratify the HCC prediction in patients with CHB. Similarly, even if less than for CHB, a few scoring systems were developed for chronic hepatitis C patients or cirrhotic patients with CLD of different etiologies. Recently, a few newsworthy HCC-risk algorithms were developed for patients with cirrhosis using the combination of serologic HCC markers and clinical parameters. Overall, the HCC risk stratification appears at hand by several validated multiple score systems, but their optimal performance is obtained only in populations who show highly homogenous clinic-pathologic, epidemiologic, etiologic and therapeutic characteristics and this limitation poses a major drawback to their sustainable use in clinical practice. A better understanding of the dynamic process driving the progression from CLD to HCC derived from studies based on molecular approaches and genetics, epigenetics and liquid biopsy will enable the identification of new biomarkers to define the individual risk of HCC in the near future, with the possibility to achieve a real and cost/effective personalization of surveillance.

Application of Risk Scores for Hepatocellular Carcinoma in Patients with Chronic Hepatitis B: Current Status and Future Perspective

Accurate risk prediction for hepatocellular carcinoma (HCC) among patients with chronic hepatitis B (CHB) may guide treatment strategies including initiation of antiviral therapy and also inform implementation of HCC surveillance. There have been 26 risk scores developed to predict HCC in CHB patients with (n = 14) or without (n = 12) receiving antiviral treatment; all of them invariably include age in the scoring formula. Virological biomarkers of replicative activities (i.e., hepatitis B virus DNA level or hepatitis B envelope antigen status) are frequently included in the scores derived from patients with untreated CHB, whereas measurements that gauge severity of liver fibrosis and/or reserve of hepatic function (i.e., cirrhosis diagnosis, liver stiffness measurement, platelet count, or albumin) are essential components in the scores developed from treated patients. External validation is a prerequisite for clinical application but not yet performed for all scores. For the future, higher predictive accuracy may be achieved with machine learning based on more comprehensive data.

Screening for Hepatocellular Carcinoma in Patients with Hepatitis B

Chronic hepatitis B (CHB) infection is a significant risk factor for developing hepatocellular carcinoma (HCC). As HCC is associated with significant morbidity and mortality, screening patients with CHB at a high risk for HCC is recommended in an attempt to improve these outcomes. However, the screening recommendations on who to screen and how often are not uniform. Identifying patients at the highest risk of HCC would allow for the best use of health resources. In this review, we evaluate the literature on screening patients with CHB for HCC, strategies for optimizing adherence to screening, and potential risk stratification tools to identify patients with CHB at a high risk of developing HCC.

Twelve-month post-treatment parameters are superior in predicting hepatocellular carcinoma in patients with chronic hepatitis B

BACKGROUND & AIMS

There are currently several prediction models for hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) receiving oral antiviral therapy. However, most models are based on pre-treatment clinical parameters. The current study aimed to develop a novel and practical prediction model for HCC by using both pre- and post-treatment parameters in this population.

METHODS

We included two treatment-naïve CHB cohorts who were initiated on oral antiviral therapies: the derivation cohort (n = 1480, Korea prospective SAINT cohort) and the validation cohort (n = 426, the US retrospective Stanford Bay cohort). We employed logistic regression, decision tree, lasso regression, support vector machine and random forest algorithms to develop the HCC prediction model and selected the most optimal method.

RESULTS

We evaluated both pre-treatment and the 12-month clinical parameters on-treatment and found the 12-month on-treatment values to have superior HCC prediction performance. The lasso logistic regression algorithm using the presence of cirrhosis at baseline and alpha-foetoprotein and platelet at 12 months showed the best performance (AUROC = 0.843 in the derivation cohort. The model performed well in the external validation cohort (AUROC = 0.844) and better than other existing prediction models including the APA, PAGE-B and GAG models (AUROC = 0.769 to 0.818).

CONCLUSIONS

We provided a simple-to-use HCC prediction model based on presence of cirrhosis at baseline and two objective laboratory markers (AFP and platelets) measured 12 months after antiviral initiation. The model is highly accurate with excellent validation in an external cohort from a different country (AUROC 0.844) (Clinical trial number: KCT0003487).

Assessing risk scores for predicting hepatocellular carcinoma in Thai patients with chronic hepatitis B

Chronic hepatitis B (CHB) infection-associated hepatocellular carcinoma (HCC) is a major health problem in Asian countries. Several HCC risk prediction models have been developed using either treated or untreated CHB patients. However, there is limited validation of these risk scores in a treated and untreated mixed CHB patient cohort. This study analysed and validated HCC risk scores among 2208 CHB patients who enrolled in the HCC surveillance programme in Thailand during July 2010. The baseline clinical and radiologic data of these CHB patients were applied to calculate various HCC risk scores. There were 20 patients (0.9%) with HCC development at the 5.9-year follow-up. The areas under the receiver operating characteristic curves (AUROCs) predicting HCC risk at 5 years were 0.80 (0.68-0.91), 0.73 (0.60-0.85), 0.79 (0.67-0.91), 0.70 (0.58-0.82), 0.72 (0.59-0.85), 0.76 (0.63-0.87) and 0.77 (0.64-0.89) for the GAG-HCC, CU-HCC, REACH-B, PAGE-B, mPAGE-B, CAMD and AASL scores, respectively. The overall HCC risk scores were accurate and comparable. However, the subgroup analysis revealed better HCC-risk-predictive performance in the treated patients, while performance was less helpful in those not fulfilling criteria for antiviral therapy. Clinicians should be aware of these data when using the HCC risk score in untreated CHB patients.

Validation of the HCC-RESCUE score to predict hepatocellular carcinoma risk in Caucasian chronic hepatitis B patients under entecavir or tenofovir therapy

The HCC-RESCUE score was developed to predict hepatocellular carcinoma (HCC) risk in Korean chronic hepatitis B (CHB) patients under entecavir therapy. We aimed to validate the HCC-RESCUE score to predict HCC risk in Caucasian CHB patients under entecavir or tenofovir therapy and to compare the predictive performance of the HCC-RESCUE score with those of the CAMD, PAGE-B and modified PAGE-B (mPAGE-B) scores. The study included 647 nucleos(t)ide analogue-naive noncirrhotic and compensated/decompensated cirrhotic patients who had received entecavir or tenofovir for ≥6 months and did not develop HCC during the first 6 months of therapy. Patients with HCC-RESCUE scores ≤64, 65-84 and ≥85 points were classified into low-, intermediate- and high-risk groups, respectively. The AUROCs of the HCC-RESCUE, CAMD, PAGE-B and mPAGE-B scores to predict HCC risk at 5 years were 0.875, 0.870, 0.866 and 0.880, and those at 10 years were 0.862, 0.845, 0.841 and 0.862, respectively (both p > .05). Cumulative HCC incidences at 5 years were 0.0%, 10.5% and 15.8%, and those at 10 years were 1.4%, 15.5% and 24.9%, respectively, in the low-, intermediate- and high-risk groups based on the HCC-RESCUE score (both log rank p < .001). In the entecavir versus tenofovir cohorts, the AUROCs of the HCC-RESCUE score to predict HCC risk at 5 and 10 years were 0.831 versus 0.898 and 0.803 versus 0.910, respectively (both p > .05). The HCC-RESCUE score accurately predicted HCC risk in Caucasian CHB patients under entecavir or tenofovir therapy. A substantial proportion of patients can be dropped from HCC surveillance by using the HCC-RESCUE score.

Addition of liver stiffness enhances the predictive accuracy of the PAGE-B model for hepatitis B-related hepatocellular carcinoma

BACKGROUND

The modified PAGE-B (mPAGE-B) and PAGE-B models reliably predict the risk of developing chronic hepatitis B (CHB)-related hepatocellular carcinoma (HCC).

AIM(S)

To investigate whether the addition of liver stiffness (LS) value, assessed using transient elastography, enhanced the predictive accuracies of these models METHODS: Patients with CHB who started anti-viral therapy (AVT) between 2007 and 2017 were enrolled. The training (Yonsei University Hospital) and validation (seven Korean referral institutes) cohorts contained 1211 and 973 patients, respectively.

RESULTS

Based on multivariate analysis, older age (hazard ratio [HR] = 1.051, 95% confidence interval [CI] = 1.031-1.071), male sex (HR = 2.265, 95% CI = 1.463-3.506), lower platelet count (HR = 0.993, 95% CI = 0.989-0.997) and greater LS values (HR = 1.015, 95% CI = 1.002-1.028) were independently associated with an increased risk of HCC development (all P < 0.05). Thus, we developed a modified PAGELS -B model (maximum score 34) that included age, male sex, platelet count and LS value. The integrated area under the curve of the modified PAGELS model was greater than those of the PAGE-B and mPAGE-B models (0.760 vs 0.714 and 0.716, respectively) in the derivation dataset. The cumulative HCC incidence was significantly higher in the high-risk (modified PAGE-BLS score ≥ 24) group than in the intermediate-risk (modified PAGELS -B score 12-24) or low-risk (modified PAGELS -B score < 12) group (all P < 0.001). Similar results were observed in the validation cohort.

CONCLUSIONS

The predictive accuracies of the PAGE-B and mPAGE-B models were validated in Korean patients with CHB receiving AVT. However, the modified PAGELS -B model featuring the addition of LS value showed higher predictability than the PAGE-B and mPAGE-B models.

Assessing efficacy of hepatocellular carcinoma prediction scores to prioritise hepatitis B surveillance in the COVID-19 era

OBJECTIVE

An estimated 250 million people worldwide are chronically infected with hepatitis B virus (HBV), the leading cause of hepatocellular carcinoma (HCC) globally. The novel Sars-cov2 virus continues to spread at an alarming rate, and with guidance at the onset of the pandemic recommending the deferral of HCC surveillance, the implications on liver cancer care are now emerging and highlight the urgent need for reorganisation of services.

METHODS

We analysed how five HCC risk prediction scores could aid stratification of patients with chronic HBV. We calculated scores using parameters measured from 3 years prior (where available, n = 17) and at the time of HCC diagnosis in all adult patients with chronic HBV diagnosed with HCC (n = 46), and controls (n = 100). We compared the number of patients requiring cancer surveillance according to each score and regional surveillance guidance.

RESULTS

The aMAP score had the highest discriminatory performance in HCC risk prediction at 3 years (area under receiver-operating characteristic curve (auROC) of 0.824), followed by the mREACH B score (auROC of 0.719), and mPAGE B score (auROC of 0.742). However, only the mREACH B score had a negative predictive value (NPV) >99%. Applying the mREACH B score to our HBV cohort identified 11 patients requiring HCC surveillance, compared with 62 under current guidelines.

CONCLUSION

The use of HCC risk prediction scores could streamline the surveillance of patients with chronic HBV at a time of extremely limited resources. Overall, the mREACH B score had both a strong discriminatory performance and a high NPV, thus safely identifying low risk patients not requiring surveillance.

Similar risk of hepatocellular carcinoma during long-term entecavir or tenofovir therapy in Caucasian patients with chronic hepatitis B

BACKGROUND & AIMS

A recent study in Asian patients with chronic hepatitis B (CHB) reported that the incidence of hepatocellular carcinoma (HCC) was lower in patients treated with tenofovir disoproxil fumarate (TDF) than entecavir (ETV), but this finding remains controversial. We aimed to identify any differences in HCC incidence, or other patient outcomes, between patients receiving TDF or ETV in the well monitored, multicenter European PAGE-B cohort.

METHODS

We included 1,935 Caucasians with CHB, with or without compensated cirrhosis, treated with ETV (n = 772) or TDF (n = 1,163) monotherapy. Mean follow-up was 7.1 ± 3.0 years from ETV/TDF onset.

RESULTS

The 5-year cumulative HCC incidence was 5.4% in ETV- and 6.0% in TDF-treated patients (log-rank, p = 0.321), with no significant difference in any patient subgroup (with or without cirrhosis, naïve or experienced to oral antiviral(s) [total, with or without cirrhosis]). In multivariable Cox regression analyses, the hazard of HCC was similar between ETV- and TDF-treated patients after adjustment for several HCC risk factors. ETV- and TDF-treated patients had similar rates of on-therapy biochemical and virological remission, HBsAg loss, liver transplantation and/or death. Elastographic reversion of cirrhosis at year 5 (liver stiffness <12 kPa) was observed in 245/347 (70.6%) patients with pretreatment cirrhosis, being more frequent in TDF- than ETV- treated patients (73.8% vs. 61.5%, p = 0.038).

CONCLUSION

In Caucasian patients with CHB, with or without cirrhosis, long-term ETV or TDF monotherapy is associated with similar HCC risk, rates of biochemical/virological remission, HBsAg loss and liver transplantation or death, but elastographic reversion of cirrhosis at year 5 was more frequent with TDF.

LAY SUMMARY

In a large cohort of Caucasians with chronic hepatitis B treated with entecavir (ETV) or tenofovir disoproxil fumarate (TDF) monotherapy, cumulative rates of hepatocellular carcinoma did not differ (up to 12 years). Nor did rates of biochemical/virological remission, HBsAg loss and liver transplantation or death. However, elastographic reversion of cirrhosis at year 5 was more frequent in TDF- than ETV-treated patients with pretreatment cirrhosis.

Magnitude of and prediction for risk of hepatocellular carcinoma in patients with chronic hepatitis B taking entecavir or tenofovir therapy: A systematic review

BACKGROUND AND AIM

Entecavir (ETV) and tenofovir disoproxil fumarate (TDF) have been shown to reduce incidence of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). This systematic review aims to evaluate the magnitude, change over time, and prediction of residual HCC risks in CHB patients treated with ETV/TDF therapy.

METHODS

Available literature was systematically reviewed through searches of PubMed and EMBASE databases from January 1, 2006 to September 1, 2019, to identify cohort studies that reported HCC incidence in CHB patients during ETV/TDF therapy. Studies were screened by title and abstract and then evaluated for eligibility in terms of full text.

RESULTS

We identified 141 studies for full-text review, and 34 were eligible for analysis. From 19 studies with data separated by cirrhosis status, the 5-year cumulative incidence of HCC was 0.5-6.9% in patients without cirrhosis, 4.5-21.6% in compensated cirrhosis, and 36.3-46.5% in decompensated cirrhosis. All four studies that addressed temporal changes in HCC risks consistently found the incidence rate decreased over time in patients with cirrhosis, although the findings were inconsistent in patients without cirrhosis. Six predictive scores were developed and validated to predict incident HCC during ETV/TDF therapy in CHB patients. Common scoring variables included age, sex, cirrhosis (fibrosis grade), and hepatic function. Conflicting results were reported in seven individual studies and two meta-analyses that compared ETV versus TDF.

CONCLUSIONS

The residual risk of HCC remains during ETV/TDF treatment in CHB patients with cirrhosis but declines over time. Risk stratification is attainable by validated predictive scores.

Validation of hepatocellular carcinoma risk scores in Japanese chronic hepatitis B cohort receiving nucleot(s)ide analog

BACKGROUND AND AIM

The prediction of hepatocellular carcinoma (HCC) development during nucleotide/nucleoside analog (NA) therapy is clinically important in patients with chronic hepatitis B. Although several useful models for HCC prediction have been previously reported, their usefulness in the Japanese population is unclear. Therefore, this study examines the applicability of these models in Japanese patients.

METHODS

Four hundred forty-three patients with no history of HCC who were treated with entecavir, tenofovir alafenamide, or tenofovir disoproxil fumarate were enrolled. PAGE-B, modified-PAGE-B, and REACH-B scores were calculated, and subsequent HCC development was investigated.

RESULTS

The mean follow-up duration was 5.1 years, and a total of 33 patients (7.4%) developed HCC during the follow-up period. Multivariate analysis revealed that old age (hazard ratio [HR] 1.05, 95% confidence interval [CI] 1.01-1.09, P = 0.011), male gender (HR 2.62, 95% CI 1.06-6.49, P = 0.037), and low platelet count (HR 0.83, 95% CI 0.77-0.91, P < 0.001) were independent predictors of HCC development. These factors are the same as the factors identified in the PAGE-B model. Time-dependent area under the receiver operating characteristic (AUROC) curve revealed that the AUROCs for 3 and 7 years of PAGE-B (AUROC: 0.786 and 0.744 at 3 and 7 years, respectively) were continuously higher than those of REACH-B (0.658 and 0.543) and modified PAGE-B AUROC (0.772 and 0.731).

CONCLUSIONS

PAGE-B, which can easily identify high-risk cases, can be useful for predicting HCC development in Japanese patients treated with NA therapy.

Detectable HBV DNA during nucleos(t)ide analogues stratifies predictive hepatocellular carcinoma risk score

Nucleos(t)ide analogs (NA) suppress hepatitis B virus (HBV) replication and reduce the risk of hepatocellular carcinoma (HCC). However, NA cannot suppress carcinogenesis completely in patients with chronic hepatitis B. The aims of this study were to identify risk factors for HCC and develop a refined carcinogenesis prediction model. Patients receiving NA therapy (n = 1,183) were recruited retrospectively from the 16 hospitals. All patients had been receiving NA continuously for more than 1 year until the end of the follow-up. During a median follow-up of 4.9 (1.0–12.9) years, 52 (4.4%) patients developed HCC. A multivariate analysis revealed that male gender, older age, lower platelet counts at the baseline, and detectable HBV DNA during NA therapy were independent predictive factors of HCC development. The PAGE-B score was calculated by using these factors. 240 (20.3%), 661 (55.9%), and 282 (23.8%) patients were classified into low-, intermediate-, and high-risk groups, respectively. In the intermediate- and high-risk group, detectable HBV DNA was significantly associated with a higher risk of HCC development compared with continuously undetectable HBV DNA, respectively (HR 3.338; 95% CI 1.045–10.66/HR 3.191; 95% CI 1.543–6.597). PAGE-B–DNA, which is the combined PAGE-B and HBV DNA status, was valuable for a more refined stratification of PAGE-B.

Baseline Mac-2 Binding Protein Glycosylation Isomer Level Stratifies Risks of Hepatocellular Carcinoma in Chronic Hepatitis B Patients with Oral Antiviral Therapy

BACKGROUND AND AIMS

Mac-2 binding protein glycosylation isomer (M2BPGi) is a novel biomarker correlating with liver fibrosis stages. However, little is known about how it predicts risks of hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) patients receiving long-term antiviral treatment.

MATERIALS AND METHODS

The study contained 2 parts. The first part was to explore whether M2BPGi could be an HCC predictor in 899 CHB patients receiving long-term entecavir therapy. The second part was to validate the findings in an independent cohort of 384 on-treatment CHB patients with more severe liver disease.

RESULTS

In the discovery cohort, there were 64 patients developing HCC within an average follow-up of 7.01 years. Our data showed that M2BPGi level was positively associated with HCC development. When stratifying the patients by an M2BPGi level of 1.73 (the third quartile), the high M2BPGi group was shown to have an increased HCC risk compared to the low M2BPGi group with hazard ratio of 5.80 (95% CI 3.50-9.60). Furthermore, we found that the M2BPGi level complements PAGE-B score, a well-validated HCC prediction model, to predict HCC development. Lastly, the cutoff was validated in the independent cohort, especially those with an intermediate PAGE-B score.

CONCLUSIONS

In CHB patients receiving long-term antiviral treatment, serum M2BPGi level not only serves as an independent HCC predictor but also complements PAGE-B in stratifying HCC risks.

Clinical utility of hepatocellular carcinoma risk scores in chronic hepatitis B

BACKGROUND

Several risk scores have been recently developed to predict hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) patients. We systematically assessed the performance of the available HCC risk scores.

METHODS

Literature search was performed to identify all published studies reporting development or external validation of HCC risk scores in CHB patients.

RESULTS

Until March 2019, 12 scores were developed in untreated Asian and 7 scores in treated Asian (n = 6) or Caucasian (n = 1) patients. All scores provided significant predictions for HCC development in the derivation and validation cohorts of their original studies (c-statistic: 0.76-0.95) and usually classified patients into low, medium and high HCC risk groups. Eleven independent studies and three studies developing their own scores have validated externally some scores in Asian (GAG-HCC:5, CU-HCC:6, REACH-B:6, REACH-Bm:4, LSM-HCC:3, PAGE-B:5) or Caucasian/mixed origin patients (GAG-HCC:4, CU-HCC:4, REACH-B:4, PAGE-B:2). All scores offered acceptable predictability in almost all independent Asian cohorts (c-statistic: 0.70-0.86), but only PAGE-B and recently modified PAGE-B (mPAGE-B) offered good predictability in all independent Caucasian and/or Asian cohorts. Negative predictive values for 5-year HCC prediction were ≤99% (95%-99%) in most independent cohorts assessing Asian risk scores and 99%-100% in all independent cohorts (Caucasian/mixed origin:2; Asian:3) assessing PAGE-B and/or recently mPAGE-B.

CONCLUSIONS

Direct comparison of the newest HCC risk scores in independent patient cohorts of different origin remains intriguing, although statistical associations may not be directly transferable to clinical practice. PAGE-B and recently mPAGE-B score seem to offer persistently high predictability for Caucasian and/or Asian treated patients with low HCC risk who require no surveillance.

Optimal management of chronic hepatitis B patients receiving nucleos(t)ide analogues

Management of chronic hepatitis B (CHB) is still considered a challenge in clinical practice. Patients must be carefully evaluated before starting therapy. This includes virology and laboratory assessments, an estimation of fibrosis by invasive and/or noninvasive methods, and an estimation of the risk of hepatocellular carcinoma (HCC). Nucleos(t)ide analogues (NAs) with a high barrier to resistance (tenofovir disoproxil fumarate [TDF], entecavir [ETV] and tenofovir alafenamide [TAF]) are the most frequently used treatments because of their good long-term efficacy and tolerability. None of these options has been shown to be more effective than the other, but certain factors should be considered when selecting the best therapy for specific populations. Most patients achieve a virological and biochemical response to these agents, with a low rate of emerging resistance during long-term treatment. However, the rate of hepatitis B surface antigen (HBsAg) loss is low and in most cases NAs therapy is lifelong. Safety concerns for long-term NA use have become a priority in the management of CHB, in particular, the risk of impaired kidney function and bone marrow density loss described with TDF regimens. The risk of HCC is not completely eliminated by NAs. Thus, patients at higher risk should be identified and provided with appropriate surveillance.

Real-World Effectiveness From the Asia Pacific Rim Liver Consortium for HBV Risk Score for the Prediction of Hepatocellular Carcinoma in Chronic Hepatitis B Patients Treated With Oral Antiviral Therapy

BACKGROUND

Patients on oral antiviral (OAV) therapy remain at hepatocellular carcinoma (HCC) risk. Risk prediction tools distinguishing treated patients with residual HCC risk are limited. The aim of this study was to develop an accurate, precise, simple-to-use HCC risk score using routine clinical variables among a treated Asian cohort.

METHODS

Adult Asian chronic hepatitis B (CHB) patients on OAV were recruited from 25 centers in the United States and the Asia-Pacific region. Excluded persons were coinfected with hepatitis C, D, or human immunodeficiency virus, had HCC before or within 1 year of study entry, or their follow-up was <1 year. Patients were randomized to derivation and validation cohorts on a 2:1 ratio. Statistically significant predictors from multivariate modeling formed the Real-world Effectiveness from the Asia Pacific Rim Liver Consortium for HBV (REAL-B) score.

RESULTS

A total of 8048 patients were randomized to the derivation (n = 5365) or validation group (n = 2683). The REAL-B model included 7 variables (male gender, age, alcohol use, diabetes, baseline cirrhosis, platelet count, and alpha fetoprotein), and scores were categorized as follows: 0-3 low risk, 4-7 moderate risk, and 8-13 high risk. Area under receiver operating characteristics were >0.80 for HCC risk at 3, 5, and 10 years, and these were significantly higher than other risk models (p < .001).

CONCLUSIONS

The REAL-B score provides 3 distinct risk categories for HCC development in Asian CHB patients on OAV guiding HCC surveillance strategy.

Epidemiology and Management of Hepatocellular Carcinoma

The major risk factors for hepatocellular carcinoma (HCC) in contemporary clinical practice are becoming increasingly related to sustained virological response after hepatitis C, suppressed hepatitis B virus during treatment, and alcoholic and nonalcoholic fatty liver disease. We review the emerging data on the risk and determinants of HCC in these conditions and the implications of HCC surveillance. However, from a public health perspective, active hepatitis C and B continue to drive most of the global burden of HCC. In United States, the age-adjusted incidence rates of HCC in Hispanics have surpassed those of HCC in Asians. Prognosis in HCC is complex because of the competing risk imposed by underlying cirrhosis and presence of malignancy. In addition to tumor burden, liver function and performance status; additional parameters including tumor biopsy, serum markers, and subclassification of current staging systems; and taking into account patterns of tumor progression may improve patient selection for therapy. Advancements in the treatment of HCC have included identification of patients who are most likely to derive a clinically significant benefit from the available therapeutic options. Additionally, the combination strategies of locoregional therapies and/or systemic therapy are being investigated.

Management of Hepatitis B Virus Infection: 2018 Guidelines from the Canadian Association for the Study of Liver Disease and Association of Medical Microbiology and Infectious Disease Canada

Hepatitis B virus (HBV) infection is an important public health problem in Canada. In keeping with evolving evidence and understanding of HBV pathogenesis, the Canadian Association for the Study of Liver Disease periodically publishes HBV management guidelines. The goals of the 2018 guidelines are to (1) highlight the public health impact of HBV infection in Canada and the need to improve diagnosis and linkage to care, (2) recommend current best-practice guidelines for treatment of HBV, (3) summarize the key HBV laboratory diagnostic tests, and (4) review evidence on HBV management in special patient populations and include more detail on management of HBV in pediatric populations. An overview of novel HBV tests and therapies for HBV in development is provided to highlight the recent advances in HBV clinical research. The aim and scope of these guidelines are to serve as an up-to-date, comprehensive resource for Canadian health care providers in the management of HBV infection.

Modified PAGE-B score predicts the risk of hepatocellular carcinoma in Asians with chronic hepatitis B on antiviral therapy

BACKGROUND & AIMS

Recently, the PAGE-B score and Toronto HCC risk index (THRI) have been developed to predict the risk of hepatocellular carcinoma (HCC) in Caucasian patients with chronic hepatitis B (CHB). We aimed to validate PAGE-B scores and THRI in Asian patients with CHB and suggested modified PAGE-B scores to improve the predictive performance.

METHODS

From 2007 to 2017, we examined 3,001 Asian patients with CHB receiving entecavir/tenofovir therapy. We assessed the performances of PAGE-B, THRI, CU-HCC, GAG-HCC, and REACH-B for HCC development. A modified PAGE-B score (mPAGE-B) was developed (derivation set, n = 2,001) based on multivariable Cox models. Bootstrap for internal validation and external validation (validation set, n = 1,000) were performed.

RESULTS

The five-year cumulative HCC incidence rates were 6.6% and 7.2% in the derivation and validation datasets after entecavir/tenofovir onset. In the derivation dataset, age, gender, serum albumin levels, and platelet counts were independently associated with HCC. The mPAGE-B score was developed based on age, gender, platelet counts, and serum albumin levels (time-dependent area under receiver operating characteristic curves [AUROC] = 0.82). In the validation set, the PAGE-B and THRI showed similar AUROCs to CU-HCC, GAG-HCC, and REACH-B at five years (0.72 and 0.73 vs. 0.70, 0.71, and 0.61 respectively; all p >0.05 except REACH-B), whereas the AUROC of mPAGE-B at five years was 0.82, significantly higher than the five other models (all p <0.01). HCC incidence rates after initiation of entecavir/tenofovir therapy in patients with CHB were significantly decreased in all risk groups in long-term follow-up periods.

CONCLUSION

Although PAGE-B and THRI are applicable in Asian patients with CHB receiving entecavir/tenofovir therapy, mPAGE-B scores including additional serum albumin levels showed better predictive performance than the PAGE-B score.

LAY SUMMARY

PAGE-B scores and Toronto HCC risk index were developed to predict the risk of hepatocellular carcinoma (HCC) in Caucasian patients with CHB under potent antiviral therapy. This study validated these two scores in Asian patients with CHB and suggested that modified PAGE-B scores could improve the predictive performance. A modified PAGE-B score, which is based only on a patient's age, gender, baseline platelet counts, and serum albumin levels at treatment initiation, represents a reliable and easily available risk score to predict HCC development during the first five years of antiviral treatment in Asian patients with CHB. With a scoring range from 0 to 21 points, a modified PAGE-B score differentiates the HCC risk. A modified PAGE-B score significantly differentiates the five-year HCC risk: low ≤8 points and high ≥13 points.

Interferon-based treatment is superior to nucleos(t)ide analog in reducing HBV-related hepatocellular carcinoma for chronic hepatitis B patients at high risk

BACKGROUND

The effect of nucleos(t)ide analogs (NAs) versus interferon (IFN) on the occurrence of hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) is controversial. We assessed whether antiviral strategy affected HCC development in CHB patients at different HCC risks.

METHODS

1112 CHB patients with antiviral therapy were included in this retrospective study. Patients treated with NAs only were classified into NAs group (n = 682) while those received IFN treatment with or without NAs were defined as IFN group (n = 430). Propensity score matching (PSM) was applied to minimize baseline differences.

RESULTS

Totally, 31 patients developed HCC during follow-up (median 5.41 years). The cumulative HCC incidence at 10 years was significantly lower in the IFN group than NAs group (2.7% vs 8.0%, p < 0.001). Similar results were obtained in the PSM-cohort. Patients with IFN-based treatment were less likely to develop HCC than those with NAs (Hazard ratio = 0.15; 95% CI 0.04-0.66; p = 0.012). Subgroup analyses demonstrated that this superiority of IFN in reducing HCC development was obvious in patients at high- but not low-risk of HCC.

CONCLUSIONS

Reduction of HCC development was more significant in CHB patients at higher HCC risk with IFN-based therapy than NAs treatment.

Development of a scoring system to predict hepatocellular carcinoma in Asians on antivirals for chronic hepatitis B

BACKGROUND & AIMS

The risk of hepatocellular carcinoma (HCC) during antiviral therapy in patients with chronic hepatitis B (CHB) is inadequately predicted by the scores built from untreated patients. We aimed at developing and validating a risk score to predict HCC in patients with CHB on entecavir or tenofovir treatment.

METHODS

This study analysed population-wide data from the healthcare databases in Taiwan and Hong Kong to identify patients with CHB continuously receiving entecavir or tenofovir. The development cohort included 23,851 patients from Taiwan; 596 (2.50%) of them developed HCC with a three-year cumulative incidence of 3.56% (95% CI 3.26-3.86%). The multivariable Cox proportional hazards model found that cirrhosis, age (cirrhosis and age interacted with each other), male sex, and diabetes mellitus were the risk determinants. These variables were weighted to develop the cirrhosis, age, male sex, and diabetes mellitus (CAMD) score ranging from 0 to 19 points. The score was externally validated in 19,321 patients from Hong Kong.

RESULTS

The c indices for HCC in the development cohort were 0.83 (95% CI 0.81-0.84), 0.82 (95% CI 0.81-0.84), and 0.82 (95% CI 0.80-0.83) at the first, second, and third years of therapy, respectively. In the validation cohort, the c indices were 0.74 (95% CI 0.71-0.77), 0.75 (95% CI 0.73-0.78), and 0.75 (95% CI 0.72-0.77) during the first three years, and 0.76 (95% CI 0.74-0.78) and 0.76 (95% CI 0.74-0.77) in the extrapolated fourth and fifth years, respectively. The predicted and observed probabilities of HCC were calibrated in both cohorts. A score <8 and >13 points identified patients at distinctly low and high risks.

CONCLUSIONS

The easily calculable CAMD score can predict HCC and may inform surveillance policy in patients with CHB during oral antiviral therapy.

LAY SUMMARY

This study analyses population-wide data from the healthcare systems in Taiwan and Hong Kong to develop and validate a risk score that predicts hepatocellular carcinoma during oral antiviral therapy in patients with chronic hepatitis B. The easily calculable CAMD score requires only simple information (i.e. cirrhosis, age, male sex, and diabetes mellitus) at the baseline of treatment initiation. With a scoring range from 0 to 19 points, the CAMD score discriminates the risk of hepatocellular carcinoma with a concordance rate of around 75-80% during the first three years on therapy. The risk prediction can be extrapolated to five years on treatment with similar accuracy. Patients with a score <8 and >13 points were exposed to distinctly lower and higher risks, respectively.

Validation of risk prediction models for the development of HBV-related HCC: a retrospective multi-center 10-year follow-up cohort study

Recently, modified REACH-B (mREACH-B) risk prediction model for hepatocellular carcinoma (HCC) development was proposed. We validated the accuracy of the mREACH-B model and compared its accuracy with those of other prediction models. Between 2006 and 2012, 1,241 patients with chronic hepatitis B (CHB) were recruited. All patients underwent transient elastography at enrollment. The median age of the study population (840 males, 401 females) was 49 years. The median PAGE-B, LSM-HCC, and mREACH-B values were 10, 10, and 8, respectively. Among patients without cirrhosis (n = 940, 75.7%), the median REACH-B value was 9. During the follow-up period (median 77.4 months), 66 (5.3%) and 83 (6.7%) patients developed HCC and liver-related events (LRE), respectively. Higher liver stiffness (LS) independently predicted HCC (hazard ratio [HR] = 1.047) and LRE development (HR = 1.047) (all P < 0.05). The mREACH-B significantly predicted HCC (AUC = 0.824 at 3-year and 0.750 at 5-year) and LRE development (AUC = 0.782 at 3-year and 0.739 at 5-year) (all P < 0.001) and it performed similarly or significantly better than the PAGE-B and LSM-HCC (AUC = 0.715-0.809 at 3-year and 0.719-0.742 at 5-year for HCC; AUC = 0.704-0.777 at 3-year and 0.721-0.735 at 5-year for LRE). Among patients without cirrhosis, mREACH-B predicted HCC (AUC = 0.803 vs. 0.654-0.816 at 3-year and 0.684 vs. 0.639-0.738 at 5-year) and LRE development (AUC = 0.734 vs. 0.619-0.789 at 3-year and 0.674 vs. 0.626-0.729 at 5-year) similarly to PAGE-B, REACH-B, and LSM-HCC. mREACH-B appropriately predicted HCC and LRE development in patients with CHB and showed similar or superior accuracy to those of PAGE-B, REACH-B, and LSM-HCC.