BackgroundDiscontinuation of antiviral therapy in chronic hepatitis B (CHB) patients leads to a higher hepatitis B surface antigen (HBsAg) loss; yet, clinical relapse (CR) may occur. SCALE-B score was developed to predict off-treatment CR; however, validation of SCALE-B beyond a 48-week follow-up is rare. We studied whether SCALE-B and hepatitis B virus ribonucleic acid (HBV RNA) could predict outcomes in CHB patients after a 2-year follow-up.MethodsA total of 92 Thai CHB patients who stopped antiviral treatment were followed up; baseline characteristics, quantitative hepatitis B surface antigen (qHBsAg), hepatitis B core-related antigen (HBcrAg), and HBV RNA were collected at the time of discontinuation, and SCALE-B scores were calculated. Patients were followed up every 12 weeks for 48 weeks, and then, the intervals were upon primary doctors. Follow-up data regarding virological relapse (VR), CR, and HBsAg loss were obtained.ResultsThe median follow-up duration was 142 weeks; the cumulative incidences of VR, CR, and HBsAg loss were 65.2, 33.7, and 7.6%, respectively. After 48 weeks, VR and CR plateaued, but HBsAg loss increased from 2.2 to 7.6%. According to the SCALE-B strata, VR, CR, and HBsAg loss were significantly different. The highest stratum (≥ 320) was associated with higher VR, CR, and lesser HBsAg loss when compared to the lowest stratum, with adjusted hazard ratios of 5.0 (95% CIs: 1.8–14.4), 10.44 (95% CIs: 1.4–79.1), and 0.04 (95% CIs: 0.004–0.43), respectively.ConclusionAt a median follow-up of 2.5 years after discontinuing therapy, HBsAg loss in Thai patients was found to increase over time. SCALE-B is a valuable tool for predicting CR, VR, and HBsAg loss; HBV RNA is not significantly associated with long-term outcomes.Clinical Trial Registration[www.ClinicalTrials.gov], identifier [TCTR20180316007].

In the COVID-19 pandemic, healthcare facility supply and access are limited. There was an announcement promoting Andrographis paniculata (ADG) use for treatment of mild COVID-19 patients in Thailand, but misconception of taking for prevention might occur. Moreover, the effect of ADG on liver function test (LFT) has not been established. To study the ADG use and effect on LFT in patients with gastrointestinal (GI) problems, conducted a cross-sectional study including GI patients who voluntarily filled the ADG questionnaire in Aug–Sep 2021. LFT data at that visit and at the prior visit (if available) were obtained. The changes in LFT within the same person were analyzed and compared between patients with and without ADG consumption. During the study period, a total of 810 patients completed the survey, 168 patients (20.7%) took ADG within the past month. LFT data were available in 485 (59.9%) patients, the median alanine aminotransferase (ALT)  change compared with the prior visit was higher in the ADG vs control group (+ 2 vs 0, p = 0.029), and 44.5% had increased ALT (> 3 U/L) vs 32.2% in the ADG and control group, respectively (p = 0.018). Factors independently associated with an increased ALT, from a multivariable logistic regression, were ADG exposure (adjusted OR 1.62, p = 0.042), and patients with NAFLD who gained weight (adjusted OR 2.37, p = 0.046). In conclusion, one-fifth of GI patients recently took ADG, even it is not recommended for COVID-19 prevention. Those who took ADG are more likely to experience an increased ALT than who did not. The potential risk of ADG consumption on liver function should be further assessed.

BackgroundPatients with un-resectable hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) are a diverse group with varying overall survival (OS). Despite the availability of several scoring systems for predicting OS, one of the unsolved problems is identifying patients who might not benefit from TACE. We aim to develop and validate a model for identifying HCC patients who would survive <6 months after their first TACE.MethodsPatients with un-resectable HCC, BCLC stage 0-B, who received TACE as their first and only treatment between 2007 and 2020 were included in this study. Before the first TACE, demographic data, laboratory data, and tumor characteristics were obtained. Eligible patients were randomly allocated in a 2:1 ratio to training and validation sets. The former was used for model development using stepwise multivariate logistic regression, and the model was validated in the latter set.ResultsA total of 317 patients were included in the study (210 for the training set and 107 for the validation set). The baseline characteristics of the two sets were comparable. The final model (FAIL-T) included AFP, AST, tumor sIze, ALT, and Tumor number. The FAIL-T model yielded AUROCs of 0.855 and 0.806 for predicting 6-month mortality after TACE in the training and validation sets, respectively, while the “six-and-twelve” score showed AUROCs of 0.751 (P < 0.001) in the training set and 0.729 (P = 0.099) in the validation sets for the same purpose.ConclusionThe final model is useful for predicting 6-month mortality in naive HCC patients undergoing TACE. HCC patients with high FAIL-T scores may not benefit from TACE, and other treatment options, if available, should be considered.