With the development of artificial intelligence， machine learning has shown great potential in the field of medical health. Machine learning conducts a comprehensive analysis of patient data including clinical features， blood tests， and imaging examinations and establishes corresponding mathematical models to achieve the diagnosis and treatment of diseases and the prediction of disease conditions， thereby guiding disease management. With reference to the latest research findings， this article reviews the application of machine learning in chronic hepatitis C and related research advances.

In 2025， Severe Liver Disease and Artificial Liver Group and Nutrition and Regeneration in End-Stage Liver Disease Group of Chinese Society of Hepatology， Chinese Medical Association， convened a panel of national experts to jointly develop China’s first guideline for the diagnosis and treatment of acute-on-chronic liver failure （ACLF）. Based on the latest research findings and clinical practice in China and globally， this guideline establishes a standardized definition of ACLF and provide recommendations for its diagnosis， treatment， and clinical management. This article gives an interpretation of the key points in the guideline， in order to provide a reference for standardized diagnosis and treatment of ACLF.

ObjectiveTo establish and validate a new prediction model for the risk of death in patients with acute-on-chronic liver failure （ACLF） based on sarcopenia and other clinical indicators， and to improve the accuracy of prognostic assessment for ACLF patients. MethodsA total of 380 patients with ACLF who were admitted to Beijing YouAn Hospital， Capital Medical University， from January 2019 to January 2022 were enrolled， and they were divided into training group with 228 patients and testing group with 152 patients in a ratio of 6∶4 using the stratified random sampling method. For the training group， CT images were used to measure the cross-sectional area of the skeletal muscle at the third lumbar vertebra （L3）， and L3 skeletal muscle index （L3-SMI） was calculated. Sarcopenia was diagnosed based on the previously established L3-SMI reference values for healthy adults in northern China. Univariate and multivariable Cox regression analyses were used to establish a sarcopenia-ACLF model which integrated sarcopenia and clinical risk factors， and a nomogram was developed for presentation. The area under the ROC curve （AUC） was used to assess the predictive performance of the model， the calibration curve was used to assess the degree of calibration， and a decision curve analysis was used to investigate the clinical application value of the model. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison between groups. The DeLong test was used for comparison of AUC between different models. ResultsThe multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=1.962， 95% confidence interval ［CI］： 1.185‍ ‍—‍ ‍3.250， P=0.009）， total bilirubin （HR=1.003， 95%CI： 1.002‍ ‍—‍ ‍1.005， P<0.001）， international normalized ratio （HR=1.997， 95%CI： 1.674‍ ‍—‍ ‍2.382， P<0.001）， and lactic acid （HR=1.382， 95%CI： 1.170‍ ‍—‍ ‍1.632， P<0.001） were included in the sarcopenia-ACLF model. In the training cohort， the sarcopenia-ACLF model had a larger AUC than MELD-Na score in predicting 90-day mortality in patients with ACLF （0.80 vs 0.73， Z=1.97， P=0.049）. In the test cohort， the sarcopenia-ACLF model had a significantly larger AUC than MELD score （0.79 vs 0.69， Z=2.70， P=0.007） and MELD-Na score （0.79 vs 0.68， Z=2.92， P=0.004）. The calibration curve showed that the model had good calibration ability， with a relatively good consistency between the predicted risk of mortality and the observed results. The DCA results showed that within a reasonable range of threshold probabilities， the sarcopenia-ACLF model showed a greater net benefit than MELD and MELD-Na scores in both the training cohort and the test cohort. ConclusionThe sarcopenia-ACLF model developed in this study provides a more accurate tool for predicting the risk of 90-day mortality in ACLF patients， which provides support for clinical decision-making and helps to optimize treatment strategies.

Objective:To elucidate the epidemiological characteristics and changing trends of liver failure in order to provide evidence-based strategies for prevention and treatment.Methods:The epidemiological information of inpatients with liver failure admitted and treated at Beijing You'an Hospital from 2012 to 2021 was retrospectively collected. The trend test was used to analyze age, gender, as well as the year-by-year changes in the underlying acute and chronic etiology of acute liver failure (ALF), sub-acute liver failure (SALF), acute-on-chronic liver failure (ACLF), and chronic liver failure (CLF).Results:During the study period, information on a total of 8512 inpatients, aged 51.3±13.5 years and mainly male (71.9%) with liver failure, was collected. The highest to lowest proportions of liver failure types were ACLF 4 023 (47.3%), CLF 3 571(42.0%), SALF 670 (7.9%), and ALF 248 (2.9%). The top five causes of liver failure in the overall population, accounting for 87.6% of the total, were hepatitis B 3 199 (37.58%), alcoholic liver disease 2 237 (26.28%), cryptogenic liver disease 906(10.61%), hepatitis B + alcoholic liver disease 603 (7.08%), drugs 488 (5.73%), The top three etiologies of patients with different types of liver failure were acute etiologies for acute liver failure (ALF), followed by drugs 107 (43.1%), hepatitis B 47(19.0%), and unknown etiology 36 (14.5%); sub-acute liver failure (SALF), followed by drugs 381(56.9%), unknown etiology 106 (15.8%), and sepsis 56 (8.4%); and acute-on-chronic liver failure (ACLF), followed by drugs 2 092(52.0%), alcoholic liver disease 813(20.2%), and cryptogenic liver disease 398(9.9%); and chronic etiologies for chronic liver failure (CLF), followed by alcoholic liver disease 1 410(39.5%), hepatitis B 1 028(28.8%), and cryptogenic liver disease 364(10.2%). Longitudinal analysis showed that the average age of patients with liver failure increased year by year, but the sex ratio trend did not change significantly, with male patients predominating throughout. The proportion of drug-induced liver failure in patients with ALF and SALF increased year by year, and the difference in the trend test was statistically significant ( P < 0.05). The proportion of patients with chronic etiologies of ACLF and CLF decreased year by year among hepatitis B, while the proportion of alcoholic liver disease, autoimmune liver disease, and cryptogenic liver disease increased year by year (the difference was statistically significant, P < 0.05). Conclusion:The etiological spectrum of liver failure is changing in our country. Although hepatitis B is still the main cause of liver failure, its proportion shows a decreasing trend year by year, with the exception of ACLF, which is no longer the primary etiology of other types of liver failure, while drug-induced liver disease, alcoholic liver disease, autoimmune liver disease, and cryptogenic liver disease are increasing year by year and will become the focus of liver disease prevention and treatment in the future.

Wilson's disease (WD) is a kind of inherited metabolic liver disease in which most patients need lifelong medication to maintain copper homeostasis in the body. Zinc is one of the most commonly used drugs for WD treatment. However, there are currently few high-quality, large-sample, and prospective clinical trials on zinc agent-treated WD. The selection and application of zinc agents are mainly based on patients' clinical phenotype, tolerance to zinc agents, and physicians' experience in treating WD. This article summarizes the application of zinc agents in WD.

Recently, malaria incidence has sharply resurgence in the border area of northern Myanmar, with the parasite incidence rate in 2023 being 21.47 times (95% CI: 18.84-24.48) that of 2019 in Kachin State's Razan and nearby areas. This resurgence caused the number of imported malaria cases to increase from 188 in 2019 to 398 in 2023 in Yunnan Province. In addition to the impact of military conflict, the border malaria joint prevention and control cooperation mechanism and malaria control measures established between China and Myanmar have failed to be implemented effectively due to the impact of the international COVID-19 epidemic. Hence, it is recommended that relevant departments evaluate the quality and effectiveness of the current cross-border transmission measures for malaria in the China-Myanmar border area from a technical perspective, and provide a large demand for primaquine, which can block the spread of malaria and cure vivax malaria, in response to the current prevalent characteristics of vivax malaria predominating in northern Myanmar. Moreover, to effectively reduce the mortality of imported malaria patients and prevent re-importation and transmission, it is necessary to enhance clinical physicians' knowledge, awareness, and vigilance regarding malaria diagnosis and treatment in the Yunnan border region, as well as China's ability and quality of appropriate response to imported malaria.

Objective To explore the predictive value of the model for end-stage liver disease (MELD) score, energy metabolism and serum thyroid hormone levels on the severity and prognosis of patients with liver failure and their correlation. Methods This study collected clinicopathological data from 60 liver failure patients, e.g., end-stage liver disease (MELD) score, energy metabolism, and serum thyroid hormone levels. The χ 2 test was performed to analyze the categorical variables, while the Mann-Whitney U test and independent sample t test were performed to assess the continuous variables between the two groups. Spearman correlation coefficient test was used to evaluate correlation of each index. The receiver operating characteristic (ROC) curve was used to analyze the optimal cut-off points of serum total triiodothyronine (TT3) and free triiodothyronine (FT3) levels in predicting prognosis of the patients. Results The rates of low TT3 and FT3 levels in liver failure patients were 78.2% and 69.1%, respectively, whereas the low TT3 rates were 95.2% and 67.6% and the low FT3 rates were 90.5% and 55.9% in survival and non-survival groups of patients, respectively (both P < 0.05). Moreover, the MELD score was significantly higher in the non-survival patients than in survival patients [26.0(21.0-29.0) vs 21.0 (19.0-24.0), Z =-3.396, P =0.001], while TT3 and FT3 levels were significantly lower in the non-survival patients than in the survival patients [0.69(0.62-0.73) vs 0.83(0.69-0.94) and 2.17(1.99-2.31) vs 2.54(2.12-2.86), respectively; Z =-2.884、-2.876, all P < 0.01]. The MELD score was negatively associated with serum TT3, FT3, and thyroid stimulating hormone (TSH) levels and the respiratory quotient (RQ) ( r =-0.487、-0.329、-0.422、-0.350, all P < 0.01), whereas the RQ was associated with serum TT3 and FT3 levels ( r =0.271、0.265, all P < 0.05). The optimal cutoff values in predicting the severity and survival of patients was 0.75 nmol/L and 2.37pmol/L with the sensitivity values of 67.6% and 64.7% and the specificity of 90.5% and 81.0%, respectively. Conclusion Abnormal thyroid hormone levels and low respiratory quotient could be used to predict the severity and prognosis of patients with liver failure.

ObjectiveTo investigate the value of MELD 3.0， MELD， and MELD-Na scores in assessing the 90-day prognosis of patients with acute-on-chronic liver failure （ACLF） through a comparative study. MethodsA retrospective analysis was performed for the clinical data of 605 patients with ACLF who were treated in Tianjin Third Central Hospital， The Fifth Medical Center of Chinese PLA General Hospital， and Beijing YouAn Hospital from November 2012 to June 2019， and according to the 90-day follow-up results after admission， they were divided into survival group with 392 patients and death group with 213 patients. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， net reclassification improvement （NRI）， integrated discrimination improvement （IDI）， and decision curve analysis （DCA） curve were used to investigate the value of MELD 3.0， MELD， and MELD-Na scores at baseline， day 3， week 1， and week 2 in predicting the prognosis of the disease. ResultsAt day 3 and week 1， MELD 3.0 score had an AUC of 0.775 and 0.808， respectively， with a better AUC than MELD score （P<0.05）. At day 3， week 1， and week 2， MELD 3.0 score showed an NRI of 0.125， 0.100， and 0.081， respectively， compared with MELD in predicting the prognosis of ACLF patients， as well as an NRI of 0.093， 0.140， and 0.204， respectively， compared with MELD-Na score in predicting prognosis. At baseline， day 3， week 1， and week 2， MELD 3.0 showed an IDI of 0.011， 0.025， 0.017， and 0.013， respectively， compared with MELD in predicting the prognosis of ACLF patients. At day 3 and week 2， MELD 3.0 showed an IDI of 0.027 and 0.038， respectively， compared with MELD-Na in predicting the prognosis of ACLF patients. All the above NRIs and IDIs were >0， indicating a positive improvement （all P<0.05）. DCA curves showed that MELD 3.0 was superior to MELD at day 3 and was significantly superior to MELD-Na at week 2. There was no significant difference in the ability of the three scores in predicting the prognosis of ACLF patients with different types， and there was also no significant difference in the ability of the three scores in predicting the prognosis of ACLF patients with the etiology of HBV infection， alcohol， or HBV infection combined with alcohol， while MELD 3.0 was superior to MELD for ACLF patients with other etiologies （P<0.05）. ConclusionMELD 3.0 score is better than MELD and MELD-Na scores in predicting the 90-day survival of patients with ACLF， but with limited superiority.

Hepatitis D caused by hepatitis D virus (HDV) infection is the most serious type of viral hepatitis. The prevalence rate of HDV has been seriously underestimated due to the lack of accurate HDV RNA detection methods. HDV RNA is the gold standard for the diagnosis of HDV infection and is of great significance in the diagnosis, screening, and treatment guidance of HDV. However, the multiple genotypes and strong secondary structure of HDV have led to great difficulties in HDV RNA detection. This article reviews the advances in HDV RNA detection methods and elaborates on the development from qualitative to quantitative detection methods, in order to provide new ideas for understanding the significance of HDV RNA detection and promoting the research and development of new HDV RNA detection methods.

Chinese Society of Hepatology and Chinese Society of Infectious Diseases, Chinese Medical Association update the guidelines for the prevention and treatment of chronic hepatitis B (version 2022) in 2022. The latest guidelines recommend more extensive screening and more active antiviral treating for hepatitis B virus infection. This article interprets the essential updates in the guidelines to help deepen understanding and better guide the clinical practice.
Humans ; Hepatitis B, Chronic/drug therapy* ; Hepatitis B/drug therapy* ; Hepatitis B virus ; Antiviral Agents/therapeutic use* ; Gastroenterology