Comparable Mortality Between Asian Patients with Chronic Hepatitis B Under Long-Term Antiviral Therapy vs Matched Control: A Population-Based Study

Association between chronic viral infection-related hospitalization and risk of cardiovascular disease: A population-based cohort study

Chronic viral infection induces immunosenescence and systemic low-grade inflammation, leading to worsened long-term outcomes. We sought to explore the short- and long-term effects of chronic viral infection on cardiovascular disease (CVD). Based on UK Biobank data, exposed group was identified as individuals who had chronic virus infection-related hospitalization (IRH). Unexposed group was randomly selected, matched by 5-year age interval, sex, and Charlson comorbidity index at a ratio up to 1:10. Restricted cubic splines were used to model time-varying effects of IRH in nonproportional Cox models. A cut-off value of 5 years was recorded and used in piecewise Cox proportional hazards models as we estimated short- and long-term effects of IRH on CVD. A total of 2826 exposed participants and 28 212 matched unexposed participants were included. Chronic viral IRH was associated with increased risk of CVD (0-5 years: hazard ratio, 1.57 [95% confidence interval: 1.32, 1.87] and 5+ years: 1.31 [1.06, 1.61]). Elevated risk of stroke was only observed within the initial 5-year follow-up (0-5 years: 1.91 [1.30, 2.81]). The short- and long-term associations were observed in herpes or hepatitis virus IRH with risk of CVD (all p < 0.05). Subgroup analysis revealed long-term association between chronic viral IRH and CVD among female (5+ years: 1.68 [1.27, 2.22]) but not among male. The association between chronic viral infection and elevated CVD risk appeared to be stronger among individuals who did not take cholesterol-lowering medication, antithrombotic medication, or certain antihypertensive medications (all p for interaction < 0.05). The risk of CVD event remained persistently higher within and over 5 years following chronic viral IRH, especially in individuals infected with herpes and hepatitis virus.

Prediction model of hepatitis B virus-related hepatocellular carcinoma in patients receiving antiviral therapy

Chronic hepatitis B virus (HBV) infection, which ultimately leads to liver cirrhosis, hepatic decompensation, and hepatocellular carcinoma (HCC), remains a significant disease burden worldwide. Despite the use of antiviral therapy (AVT) using oral nucleos(t)ide analogs (NUCs) with high genetic barriers, the risk of HCC development cannot be completely eliminated. Therefore, bi-annual surveillance of HCC using abdominal ultrasonography with or without tumor markers is recommended for at-risk populations. For a more precise assessment of future HCC risk at the individual level, many HCC prediction models have been proposed in the era of potent AVT with promising results. It allows prognostication according to the risk of HCC development, for example, low-vs. intermediate-vs. high-risk groups. Most of these models have the advantage of high negative predictive values for HCC development, allowing exemption from biannual HCC screening. Recently, non-invasive surrogate markers for liver fibrosis, such as vibration-controlled transient elastography, have been introduced as integral components of the equations, providing better predictive performance in general. Furthermore, beyond the conventional statistical methods that primarily depend on multi-variable Cox regression analyses based on the previous literature, newer techniques using artificial intelligence have also been applied in the design of HCC prediction models. Here, we aimed to review the HCC risk prediction models that were developed in the era of potent AVT and validated among independent cohorts to address the clinical unmet needs, as well as comment on future direction to establish the individual HCC risk more precisely.