External validation of CAGE-B and SAGE-B scores for Asian chronic hepatitis B patients with well-controlled viremia by antivirals

Evaluation of PAGE-B Score for Hepatocellular Carcinoma Development in Chronic Hepatitis B Patients: Reliability, Validity, and Responsiveness

Chronic hepatitis B (CHB) constitutes a major global public health issue, affecting millions of individuals. Despite the implementation of robust vaccination programs, the hepatitis B virus (HBV) significantly influences morbidity and mortality rates. CHB emerges as one of the leading causes of hepatocellular carcinoma (HCC), introducing a major challenge in the effective management of CHB patients. Therefore, it is of utmost clinical importance to diligently monitor individuals with CHB who are at high risk of HCC development. While various prognostic scores have been developed for surveillance and screening purposes, their accuracy in predicting HCC risk may be limited, particularly in patients under treatment with nucleos(t)ide analogues. The PAGE-B model, incorporating age, gender, and platelet count, has exhibited remarkable accuracy, validity, and reliability in predicting HCC occurrence among CHB patients receiving HBV treatment. Its predictive performance stands out, whether considered independently or in comparison to alternative HCC risk scoring systems. Furthermore, the introduction of targeted adjustments to the calculation of the PAGE-B score might have the potential to further improve its predictive accuracy. This review aims to evaluate the efficacy of the PAGE-B score as a dependable tool for accurate prediction of the development of HCC in CHB patients. The evidence discussed aims to provide valuable insights for guiding recommendations on HCC surveillance within this specific population.

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.

CAGE-B and SAGE-B models better predict the hepatitis B virus-related hepatocellular carcinoma after 5-year entecavir treatment than PAGE-B

OBJECTIVES

The PAGE-B model consists of variables at the initiation of antiviral therapy (AVT), whereas the SAGE-B and CAGE-B models consist of variables after 5 years of AVT. We aimed to compare the predictive accuracy of three risk prediction models for hepatocellular carcinoma (HCC) development after 5 years of AVT in patients with chronic hepatitis B (CHB).

METHODS

A total of 1335 patients who initiated entecavir (ETV) treatment between 2006 and 2011 and were followed up for more than 5 years were enrolled in the study.

RESULTS

At ETV initiation, the median age was 49 years and the median score of the PAGE-B model was 14. After 5 years of ETV treatment, the median SAGE-B and CAGE-B scores were 6 and 6. During the study period, 93 (7.0%) patients developed HCC after 5-year treatment. In multivariate analysis, PAGE-B (hazard ratio [HR] 1.151, 95% confidence interval [CI] 1.087-1.219), SAGE-B (HR 1.340, 95% CI 1.228-1.463), and CAGE-B (HR 1.327, 95% CI 1.223-1.440) models independently predicted HCC development after 5 years of treatment (all P < 0.001). The high-risk groups of the three risk prediction models showed a significantly higher risk of HCC development compared to the medium- and low-risk groups (both P < 0.05). The AUROC of the SAGE-B (0.772-0.844) and CAGE-B (0.785-0.838) models was significantly higher than those of the PAGE-B model (0.696-0.745) in predicting HCC development after 5 years of treatment (both P < 0.05).

CONCLUSION

The SAGE-B and CAGE-B models might be better than the PAGE-B model in predicting HCC development after 5 years of ETV treatment.

Validation of Hepatocellular Carcinoma Risk Prediction Models in Patients with Hepatitis B-Related Cirrhosis

Purpose

Several risk models have been developed to predict the hepatocellular carcinoma (HCC) risk in patients with chronic hepatitis B (CHB); however, it remains unclear whether these models are useful for risk assessment in patients with hepatitis B virus (HBV)-related cirrhosis undergoing antiviral therapy.

Patients and Methods

A total of 252 treatment-naive cirrhosis patients with no history of HCC who underwent treatment with nucleos(t)ide analogues between January 2010 and July 2014 were enrolled. Cox proportional hazards model was used to analyze the risk factors for HCC. "TimeROC" and "survival ROC" package, written for R, were used to compare the time-dependent area under the receiver operating characteristic (AUROC) curves for the predictability of the HCC risk scores.

Results

During the mean follow-up period of 56.96 months, 48 (19.0%) patients developed HCC. Cox multivariate stepwise regression analysis revealed that international normalized ratio (hazard ratio [HR] 2.771, 95% confidence interval [CI] 1.462-5.254; P=0.002), alpha-fetoprotein (HR 1.001, 95% CI 1.000-1.003; P=0.035), diabetes mellitus (HR 3.061, 95% CI 1.542-6.077; P=0.001), and alcohol intake (HR 2.250, 95% CI 1.042-4.856; P=0.039) were independent indicators of the HCC risk. AUROC at 3 (0.739) and 5 years (0.695) for the REAL-B score were consistently higher than those of the other risk models except RWS-HCC. The time-dependent AUROC value at 1 year for the REAL-B score was similar to those of the other risk models. According to REAL-B score stratification (0-3, low; 4-7, moderate; and 8-13, high), the HCC risk rates at 1, 3, and 5 years were 2.4%, 5.6%, and 9.0% in the intermediate-risk group, and 7.2%, 21.1%, and 26.3% in the high-risk group, respectively (all P<0.001 between each pair).

Conclusion

REAL-B score showed a persistently high prognostic capability in predicting the HCC risk in HBV-related cirrhosis patients undergoing antiviral therapy.

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.

Cirrhosis, Age, and Liver Stiffness-Based Models Predict Hepatocellular Carcinoma in Asian Patients with Chronic Hepatitis B

OBJECTIVES

Predicting hepatocellular carcinoma (HCC) in patients with chronic hepatitis B who received long-term therapy with potent nucleos(t)ide analogs is of utmost importance to refine the strategy for HCC surveillance.

METHODS

We conducted a multicenter retrospective cohort study to validate the CAGE-B and SAGE-B scores, HCC prediction models developed for Caucasian patients receiving entecavir (ETV) or tenofovir (TFV) for >5 years. Consecutive patients who started ETV or TFV at two hospitals in Korea from January 2009 to December 2015 were identified. The prediction scores were calculated, and model performance was assessed using receiver operating characteristics (ROC) curves.

RESULTS

Among 1557 patients included, 57 (3.7%) patients had HCC during a median follow-up of 93 (95% confidence interval, 73-119) months. In the entire cohort, CAGE-B predicted HCC with an area under the ROC curve of 0.78 (95% CI, 0.72-0.84). Models that have "liver cirrhosis" in the calculation, such as AASL (0.79 (0.72-0.85)), CU-HCC (0.77 (0.72-0.82)), and GAG-HCC (0.79 (0.74-0.85)), showed accuracy similar to that of CAGE-B (p > 0.05); however, models without "liver cirrhosis", including SAGE-B (0.71 (0.65-0.78)), showed a lower predictive ability than CAGE-B. CAGE-B performed well in subgroups of patients treated without treatment modification (0.81 (0.73-0.88)) and of male sex (0.79 (0.71-0.86)).

CONCLUSIONS

This study validated the clinical usefulness of the CAGE-B score in a large number of Asian patients treated with long-term ETV or TFV. The results could provide the basis for the reappraisal of HCC surveillance strategies and encourage future prospective validation studies with liver stiffness measurements.