Potential conflict of interest: Nothing to report.
Predicting clinical outcome in a patient with chronic hepatitis B virus infection†
Article first published online: 1 MAR 2013
Copyright © 2013 the American Association for the Study of Liver Diseases
Clinical Liver Disease
Special Issue: Hepatitis B
Volume 2, Issue 1, pages 5–7, February 2013
How to Cite
Yang, H.-I. and Chen, P.-J. (2013), Predicting clinical outcome in a patient with chronic hepatitis B virus infection. Clinical Liver Disease, 2: 5–7. doi: 10.1002/cld.158
- Issue published online: 1 MAR 2013
- Article first published online: 1 MAR 2013
Watch a video presentation of this article
Hepatitis B virus (HBV) infection is a global health challenge, with more than 400 million people chronically infected worldwide. Chronic hepatitis B (CHB), if not abated, may progress to several severe clinical outcomes, including cirrhosis, hepatic decompensation, and hepatocellular carcinoma (HCC). HCC is one of the most pernicious complications of CHB infection because of the associated poor quality of life and abbreviated survival. Many patient, viral, and environmental factors are independently associated with an elevated risk of HCC development, particularly in patients with CHB infection. Different study groups have attempted to generate prediction models, using clinical variables for the estimation of HCC risk in CHB patients.1–4 However, these studies have faced criticism due to hospital-based design, inadequate sample size, complicated risk predictors, and, most importantly, lack of rigorous external validation. A recent study established an HCC risk score (REACH-B [risk estimation for hepatocellular carcinoma in chronic hepatitis B]) using sex, age, serum alanine aminotransferase concentration, hepatitis B e antigen (HBeAg) status, and serum HBV DNA level as the predicting parameters (Table 1).5 This study derived a risk model from 3,584 treatment- and cirrhosis-free CHB patients in a community-based Taiwanese cohort (REVEAL-HBV) and validated its use in composite hospital-based cohorts (N = 1,505) from Hong Kong and Korea. The risk score accurately and reliably estimated HCC risk at 3, 5, and 10 years of follow-up (Table 2). This is the first clinical study to provide firm external validation of the use of an HCC risk prediction tool in a cohort of patients with CHB.
|Risk Predictor||Risk Score|
|Alanine aminotransferase level, U/L|
|HBV DNA level, copies/mL|
|Cumulative Risk Score||Year 3||Year 5||Year 10|
|For Predicting HCC at Various Time Points of Follow-up|
|Year 3||Year 5||Year 10|
|Application of risk score, AUROC (95% CI)|
|All patients in the validation set||0.811 (0.790-0.831)||0.796 (0.775-0.816)||0.769 (0.747-0.790)|
|Patients without cirrhosis||0.902 (0.884-0.918)||0.783 (0.759-0.806)||0.806 (0.783-0.828)|
|Predicted HCC risk and observed risk, correlation coefficient|
|All patients in the validation set||0.973||0.942||0.994|
|Patients without cirrhosis||0.975||0.991||0.999|
The REACH-B risk score has helped create a gauge for HCC risk assessment. It enables evidence-based clinical management decisions to be made based on a continuum of HCC risk. It can also be used to tailor surveillance patterns for patients according to their personalized risk. Furthermore, because antiviral therapy has the potential to improve liver histology in chronic HBV, it might be anticipated that timely identification of patients who are at high risk of progression to HCC, might, when followed by initiation of antiviral therapy, lead to prolonged survival and improved quality of life. The REACH-B score also provides a platform for physician-patient communication in light of the future risk of developing HCC. A patient's willingness to receive antiviral therapy may be enhanced by understanding their own risk. The risk prediction score might complement clinical practice guidelines in providing function on patient risk stratification. From a public health viewpoint, it might aid in health care resource allocation by bridging the gap between personal risk profiles and population health impact resulting from HCC. Although the REACH-B predictive score was externally validated to be a useful tool for HCC risk estimation, further validation is still needed in patients with different ethnicities, geographical areas, age at infection, genetic background, HBV genotype or species, comorbidities, and exposure to environmental factors such as aflatoxin and alcohol.5-7
One fundamental question is: To which group of hepatitis B surface antigen (HBsAg) carriers can this prediction model be applied? We know that CHB covers a wide spectrum of liver pathology, including minimal hepatitis, chronic hepatitis, fibrosis, advanced fibrosis, and cirrhosis. Because carcinogenesis of HCC is a multistage and multifactorial process, the risk predictors of developing HCC for patients with cirrhosis in whom CHB has progressed to a relatively late stage should be very different from those applied to patients without cirrhosis. A universal risk prediction tool for the whole spectrum of patients would not be reasonable. Studies indicate that the annual risk of developing HCC among CHB patients with cirrhosis is extremely high (3%–5%).8 However, there is currently no HCC risk prediction tool for patients with severe fibrosis and cirrhosis. The derivation cohort of the REACH-B risk score did not include patients with CHB and cirrhosis; therefore, its predictability in this particular group of patients is inherently limited. Based on the original REACH-B report,5 applying the risk score to patients at a more advanced stage of liver disease (such as cirrhosis) diminishes the accuracy and values of the prediction; however, the accuracy and value may be better in patients who are in the early stages of disease. Cirrhosis per se is an important predictor for future development of HCC, and CHB patients with existing cirrhosis need close and timely monitoring and initiation of antiviral therapy. Risk assessment in this group of patients or use of cirrhosis as a variable might be pointless, since all such patients are ‘high risk’.
Another question that has been raised is whether applying the risk score to patients during treatment could forecast the potential decline of risk according to improvement of the risk profile. Because the current HCC risk prediction tools were generated from a natural history cohort without antiviral therapy, the inference of a predicted risk in patients receiving antiviral therapy is inappropriate. Furthermore, since current HCC prediction tools are based on one-time baseline measurement; further validation studies are required to evaluate whether this risk score is applicable for changing risk profiles during follow-up, either spontaneously or through antiviral therapy.
Apart from HCC, other clinical outcomes and milestones of CHB for which an accurate prediction tool would be useful included cirrhosis, seroclearance/seroconversion of HBeAg and HBsAg, seroclearance of HBV DNA, and liver related mortality. Quantitative HBsAg titer as well as genetic markers, might hopefully be incorporated into the current HCC risk score.9, 10 The establishment of a risk prediction tool for various clinical outcomes for patients with chronic HBV infection is still in a preliminary phase. The accomplishment and refinement of these prediction tools may supply CHB patients with a comprehensive individualized management measure based on the risk perspectives.
- 7Predictive scores for hepatocellular carcinoma development in chronic hepatitis B virus infection: “does one size fit all?” Gastroenterology 2012; 142: 1038-1040., .