Prevalence, proportions of elevated liver enzyme levels, and long-term cardiometabolic mortality of patients with metabolic dysfunction-associated steatotic liver disease.

BACKGROUND AND AIM: This study estimated the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) according to cardiometabolic risk factors. The long-term impacts of MASLD on all-cause and cardiometabolic-specific mortality were evaluated. METHODS: We enrolled 343 816 adults aged ≥30 years who participated in a health screening program from 1997 through 2013. MASLD was identified on the basis of abdominal ultrasonography and metabolic profiles. The participants were further categorized by liver enzyme elevation. Baseline cardiometabolic comorbidities were classified on the basis of self-reported medication use and clinical seromarkers. All-cause and cardiometabolic-specific deaths were determined through computerized data linkage with nationwide death certifications until December 31, 2020. RESULTS: The overall prevalence of MASLD was 36.4%. Among patients with MASLD, 35.9% had abnormal liver enzyme levels. Compared with patients without MASLD, abnormal liver enzymes were positively associated with cardiometabolic comorbidities in patients with MASLD (Pfor trend < 0.001). After follow-up, patients with MASLD had a 9%-29% higher risk of all-cause, cardiovascular-related, or diabetes-related mortality. In the groups with MASLD and elevated and normal liver enzyme levels, the multivariate-adjusted hazard ratios for cardiovascular deaths were 1.14 (1.05-1.25) and 1.10 (1.03-1.17), respectively, and those for diabetes deaths were 1.42 (1.05-1.93) and 1.24 (0.98-1.57), respectively, compared with those in the non-MASLD group (Pfor trend < 0.001). DISCUSSION: Individuals with MASLD and elevated liver enzyme levels exhibited significantly higher risks of all-cause and cardiometabolic deaths and should be monitored and given consultation on cardiometabolic modifications.

Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index.

Background: Physical frailty is an important issue in aging societies. Three models of physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of weight (FRAIL); Cardiovascular Health Study (CHS); and Study of Osteoporotic Fractures (SOF) indices, have been regularly used in clinical and research studies. However, no previous studies have investigated the predictive ability of machine learning (ML) for physical frailty assessment. The aim was to use two ML algorithms, random forest (RF) and extreme gradient boosting (XGBoost), to predict these three physical frailty assessment models. Materials and methods: Questionnaires regarding demographic characteristics, lifestyle habits, living environment, and physical frailty assessment were answered by 445 participants aged 60 years and above. The RF and XGBoost algorithms were used to assess their scores for the three physical frailty indices. Furthermore, feature importance and Shapley additive explanations (SHAP) were used to determine the important physical frailty factors. Results: The XGBoost algorithm obtained higher accuracy for predicting the three physical frailty indices; the areas under the curve obtained by the XGBoost algorithm for the 5-Item FRAIL, CHS, and SOF indices were 0.84. 0.79, and 0.69, respectively. The feature importance and SHAP of the XGBoost algorithm revealed that systolic blood pressure, diastolic blood pressure, age, and body mass index play important roles in all three physical frailty models. Conclusion: The XGBoost algorithm has a more accurate predictive rate than RF across all three physical frailty assessments. Thus, ML can be a useful tool for the early detection of physical frailty.

Chronic Hepatitis C Related Steatotic Liver Disease Is More Than "Miscellaneous Steatotic Liver Disease".

The terminology and definition of fatty liver disease has evolved significantly. Recently, the overarching term of steatotic liver disease (SLD) has been endorsed by international societies.1,2 SLD further encompasses individuals with cardiometabolic risk factors (CMRFs), namely, metabolic dysfunction-associated steatotic liver disease (MASLD).

Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy.

Backgrounds and Aim: Chronic hepatitis C (CHC) patients who fail antiviral therapy have a high risk of developing hepatocellular carcinoma (HCC). We investigated the effects of metformin and statins, commonly used to treat diabetes mellitus (DM) and hyperlipidemia (HLP), on HCC risk in CHC patients who failed antiviral therapy. Methods: CHC patients with failed interferon-based therapy were enrolled in a large-scale multicenter cohort study in Taiwan (T-COACH). HCC occurrence 1.5 years after the end of antiviral therapy was identified by linking to the cancer registry databases from 2003 to 2019. After considering death and liver transplantation as competing risks, Gray's cumulative incidence and Cox sub-distribution hazards for HCC development were used. Results: Among the 2,779 CHC patients, 480 (17.3%) developed new-onset HCC and 238 (8.6%) died after antiviral therapy. Metformin non-users with DM had a 51% higher risk of liver cancer than patients without DM, while statin users with HLP had a 50% lower risk of liver cancer than patients without HLP. The 5-year cumulative incidence of HCC was 16.5% in metformin non-users, significantly higher in metformin non-users than in patients without DM (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Conversely, HLP statin users had a significantly lower HCC risk than patients without HLP (3.8% vs. 12.5%; aSHR=0.50; P<0.001). Notably, the unfavorable effect of non-metformin use on increased HCC risk was mainly observed among patients without cirrhosis but not in patients with cirrhosis. In contrast, a favorable effect of statins reduced the risk of HCC in both cirrhotic and non-cirrhotic patients. Conclusion: Metformin for DM and statins for HLP have chemopreventive effects on HCC risk in CHC patients who failed antiviral therapy. These findings emphasize the importance of personalized preventive strategies for managing patients with these clinical profiles.

Increased serum adipokines are associated with sarcopenia in non-obese women with rheumatoid arthritis.

Large cohort studies have disclosed the association between obesity and rheumatoid arthritis (RA) risk. The sarcopenia prevalence in RA patients can be up to 31%. However, there is little information linking adipokines to sarcopenia in RA, so this study aimed to investigate whether adipokines were indeed involved in secondary sarcopenia in RA with a focus on non-obese females. Sixty-four female patients and 36 controls were included in this study. The serum adipokine levels (leptin and adiponectin) were determined by ELISA kits. The impacts of adipokines on muscle atrophy and potential autophagy were examined in mouse myoblasts, C2C12, upon treatment with recombinant leptin and adiponectin agonist (AdipoRan). Interestingly, serum adiponectin was significantly increased but the ratio of leptin/adiponectin was dramatically decreased in the RA patients with sarcopenia. After normalization by body mass, serum leptin was positively associated but adiponectin was negatively associated with muscle mass respectively, even after adjustment for fat mass. Treating C2C12 cells with leptin and AdipoRan inhibited proliferation of mature myotube respectively, as did treatment with the serum from RA patients. A combination of low leptin and high AdipoRan greatly decreased myogenin, but instead increased MAFbx and MuRF-1 as well as increased Beclin 1, Atg5, and LC3ß. Taken together, our study reveals that secondary sarcopenia of RA females may be an imbalance of RA-related, but not obesity-related, increase in adipokine production; additionally, the reduced leptin/adiponectin ratio could be a better indicator in monitoring sarcopenia in non-obese RA females. Moreover, adipokine imbalance may promote muscle atrophy through inducing autophagy.

Real-World Efficacy and Safety of Universal 8-Week Glecaprevir/Pibrentasvir for Treatment-Naïve Patients from a Nationwide HCV Registry in Taiwan.

INTRODUCTION: Eight-week glecaprevir/pibrentasvir (GLE/PIB) is indicated for treatment-naïve (TN) patients with chronic hepatitis C (CHC), with or without compensated cirrhosis. Given that the Taiwanese government is committed to eliminating hepatitis C virus (HCV) by 2025, this study aimed to measure real-world evidence for TN patients using 8-week GLE/PIB in the Taiwan HCV Registry (TACR). METHODS: The data of patients with CHC treated with 8-week GLE/PIB were retrieved from TACR, a nationwide registry program organized by the Taiwan Association for the Study of the Liver (TASL). Treatment efficacy, defined as a sustained virologic response at posttreatment week 12 (SVR12), was assessed in the modified intention-to-treat (mITT) population, which excluded patients who were lost to follow-up or lacked SVR12 data. The safety profile of the ITT population was assessed. RESULTS: A total of 7246 (6897 without cirrhosis; 349 with cirrhosis) patients received at least one dose of GLE/PIB (ITT), 7204 of whom had SVR12 data available (mITT). The overall SVR12 rate was 98.9% (7122/7204) among all patients, 98.9% (6780/6856) and 98.3% (342/348) among patients without and with cirrhosis, respectively. For the selected subgroups, which included patients with genotype 3 infection, diabetes, chronic kidney disease, people who injected drugs, and those with human immunodeficiency virus coinfection, the SVR12 rates were 95.1% (272/286), 98.9% (1084/1096), 99.0% (1171/1183), 97.4% (566/581), and 96.1% (248/258), respectively. Overall, 14.1% (1021/7246) of the patients experienced adverse events (AEs). Twenty-two patients (0.3%) experienced serious AEs, and 15 events (0.2%) resulted in permanent drug discontinuation. Only one event was considered treatment drug related. CONCLUSION: Eight-week GLE/PIB therapy was effective and well tolerated in all TN patients, regardless of cirrhosis status.

The efficacy of multi-disciplinary lifestyle modifications in Taiwanese nonalcoholic steatohepatitis patients.

Lifestyle modification is the standard of care for nonalcoholic fatty liver disease (NAFLD) patients. We aimed to investigate the efficacy of a short-term lifestyle modification program in the disease course of Taiwanese nonalcoholic steatohepatitis (NASH) patients with paired biopsies. All patients received a 6-month, strict multidisciplinary program of lifestyle modifications led by physicians, dieticians, and nursing staff. The histopathological and clinical features were assessed. The endpoints were normalization of transaminase levels, metabolic parameters, a decrease in the NAFLD activity score (NAS) ≥1, and a decrease in the fibrosis stage ≥1. We also aimed to elucidate the predictors associated with disease progression. A total of 37 patients with biopsy-proven NASH were enrolled. The normalization of transaminase levels increased from 0% to 13.5%. There were also significantly increased proportions of patients with normal total cholesterol, triglyceride, and hemoglobin A1c levels. Fifteen (40.5%) patients had an increased NAS ≥1, whereas 10 (27.0%) patients had NAS regression. Twelve (32.4%) patients had increased fibrosis ≥1 stage. Only 2 (5.4%) patients experienced fibrosis regression. A high fasting plasma glucose (FPG) level was associated with NAS progression. Older age and higher transaminase and FPG levels were factors associated with fibrosis progression. Seven (18.9%) patients achieved a body weight reduction >3%, and 4 (57.1%) of them experienced NAS regression. No significant effect of weight reduction on the progression of fibrosis was observed. The short-term lifestyle modification program significantly decreased liver enzymes and metabolic parameters in NASH patients. A more precise or intensive program may be needed for fibrosis improvement.

Mortality in patients with chronic hepatitis B treated with tenofovir or entecavir: A multinational study.

BACKGROUND AND AIM: The benefits of entecavir (ETV) versus tenofovir disoproxil fumarate (TDF) in reducing the development of chronic hepatitis B (CHB)-related hepatocellular carcinoma remain controversial. Whether mortality rates differ between patients with CHB treated with ETV and those treated with TDF is unclear. METHODS: A total of 2542 patients with CHB treated with either ETV or TDF were recruited from a multinational cohort. A 1:1 propensity score matching was performed to balance the differences in baseline characteristics between the two patient groups. We aimed to compare the all-cause, liver-related, and non-liver-related mortality between patients receiving ETV and those receiving TDF. RESULTS: The annual incidence of all-cause mortality in the entire cohort was 1.0/100 person-years (follow-up, 15 757.5 person-years). Patients who received TDF were younger and had a higher body mass index, platelet count, hepatitis B virus deoxyribonucleic acid levels, and proportion of hepatitis B e-antigen seropositivity than those who received ETV. The factors associated with all-cause mortality were fibrosis-4 index > 6.5 (hazard ratio [HR]/confidence interval [CI]: 3.13/2.15-4.54, P < 0.001), age per year increase (HR/CI: 1.05/1.04-1.07, P < 0.001), alanine aminotransferase level per U/L increase (HR/CI: 0.997/0.996-0.999, P = 0.003), and γ-glutamyl transferase level per U/L increase (HR/CI: 1.002/1.001-1.003, P < 0.001). No significant difference in all-cause mortality was observed between the ETV and TDF groups (log-rank test, P = 0.69). After propensity score matching, no significant differences in all-cause, liver-related, or non-liver-related mortality were observed between the two groups. CONCLUSIONS: Long-term outcomes of all-cause mortality and liver-related and non-liver-related mortality did not differ between patients treated with ETV and those receiving TDF.

Systematic integration of molecular and clinical approaches in HCV-induced hepatocellular carcinoma.

BACKGROUND: MicroRNAs (miRNAs) play a crucial role in gene expression and regulation, with dysregulation of miRNA function linked to various diseases, including hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC). There is still a gap in understanding the regulatory relationship between miRNAs and mRNAs in HCV-HCC. This study aimed to investigate the function and effects of persistent HCV-induced miRNA expression on gene regulation in HCC. METHODS: MiRNA array data were used to identify differentially expressed miRNAs and their targets, and miRNAs were analyzed via DIANA for KEGG pathways, gene ontology (GO) functional enrichment, and Ingenuity Pathways Analysis (IPA) for hepatotoxicity, canonical pathways, associated network functions, and interactive networks. RESULTS: Seventeen miRNAs in L-HCV and 9 miRNAs in S-HCV were differentially expressed, and 5 miRNAs in L-HCV and 5 miRNAs in S-HCV were significantly expressed in liver hepatocellular carcinoma (LIHC) tumors. Grouped miRNA survival analysis showed that L-HCV miRNAs were associated with survival in LIHC, and miRNA‒mRNA targets regulated viral carcinogenesis and cell cycle alteration through cancer pathways in LIHC. MiRNA-regulated RCN1 was suppressed through miRNA-oncogene interactions, and suppression of RCN1 inhibited invasion and migration in HCC. CONCLUSION: Persistent HCV infection induced the expression of miRNAs that act as tumor suppressors by inhibiting oncogenes in HCC. RCN1 was suppressed while miRNAs were upregulated, demonstrating an inverse relationship. Therefore, hsa-miR-215-5p, hsa-miR-10b-5p, hsa-let-7a-5p and their target RCN1 may be ideal biomarkers for monitoring HCV-HCC progression.

The validation of Chinese version of workplace PERMA-profiler and the association between workplace well-being and fatigue.

BACKGROUND: Well-being is an important issue in workplace. One of these assessment tools of well-being, Workplace PERMA Profiler, is based on Seligman's five dimensions well-being. Prolonged fatigue may last for a long time, leading a great impact on both employees and enterprises. However, rare studies about the association between well-being and fatigue had been investigated. Our aim is to establish the Chinese version Profiler, and to discovery the association between workplace well-being and fatigue. METHODS: The Chinese version was established according to International Society of Pharmacoeconomics and Outcomes Research (ISPOR) task force guidelines. In the study, researchers employed simple random sampling by approaching individuals undergoing health checkups or receiving workplace health services, inviting them to participate in a questionnaire-based interview. Prolonged Fatigue was evaluated by Checklist Individual Strength (CIS). The reliability was evaluated by Cronbach's alphas, Intra-class Correlation Coefficients (ICCs), and measurement errors. Moreover, confirmatory factor analysis and correlational analyses were assessed for the validity. RESULTS: The analyses included 312 Chinese workers. Cronbach's alphas of the Chinese version ranged from 0.69 to 0.93, while the ICC ranged from 0.70 to 0.92. The 5-factor model of confirmatory factor analysis revealed a nearly appropriate fit (χ2 (82) = 346.560, Comparative Fit Index [CFI] = 0.887, Tucker-Lewis Index [TLI] = 0.855, Root Mean Square Error of Approximation [RMSEA] = 0.114, Standardized Root Mean Square Residual [SRMR] = 0.060). Moreover, the CIS and its four dimensions were significantly and negatively associated with the Positive Emotion, while they are positively associated with Engagement dimension except CIS-Motivation dimension. CONCLUSION: The Chinese version Workplace PERMA-Profiler indicate nice reliability and validity. Furthermore, all CIS dimensions were negatively influenced by Positive Emotion, while commonly positively associated with Engagement.

Long-term Risks of Cirrhosis and Hepatocellular Carcinoma Across Steatotic Liver Disease Subtypes.

INTRODUCTION: The prospective study aimed to investigate the long-term associated risks of cirrhosis and hepatocellular carcinoma (HCC) across various subtypes of steatotic liver disease (SLD). METHODS: We enrolled 332,175 adults who participated in a health screening program between 1997 and 2013. Participants were categorized into various subtypes, including metabolic dysfunction-associated SLD (MASLD), MASLD with excessive alcohol consumption (MetALD), and alcohol-related liver disease (ALD), based on ultrasonography findings, alcohol consumption patterns, and cardiometabolic risk factors. We used computerized data linkage with nationwide registries from 1997 to 2019 to ascertain the incidence of cirrhosis and HCC. RESULTS: After a median follow-up of 16 years, 4,458 cases of cirrhosis and 1,392 cases of HCC occurred in the entire cohort, resulting in an incidence rate of 86.1 and 26.8 per 100,000 person-years, respectively. The ALD group exhibited the highest incidence rate for cirrhosis and HCC, followed by MetALD, MASLD, and non-SLD groups. The multivariate adjusted hazard ratios for HCC were 1.92 (95% confidence interval [CI] 1.51-2.44), 2.91 (95% CI 2.11-4.03), and 2.59 (95% CI 1.93-3.48) for MASLD, MetALD, and ALD, respectively, when compared with non-SLD without cardiometabolic risk factors. The pattern of the associated risk of cirrhosis was similar to that of HCC (all P value <0.001). The associated risk of cirrhosis for ALD increased to 4.74 (95% CI 4.08-5.52) when using non-SLD without cardiometabolic risk factors as a reference. DISCUSSION: This study highlights elevated risks of cirrhosis and HCC across various subtypes of SLD compared with non-SLD, emphasizing the importance of behavioral modifications for early prevention.

Chronic Viral Hepatitis B and C Outweigh MASLD in the Associated Risk of Cirrhosis and HCC.

BACKGROUND & AIMS: The impact of metabolic dysfunction-associated steatotic liver disease (MASLD) on the development of cirrhosis and hepatocellular carcinoma (HCC) by chronic hepatitis B (CHB) or C infection and antiviral treatment statuses is not well-known. METHODS: A total of 336,866 adults aged ≥30 years were prospectively enrolled in a health screening program between 1997-2013. MASLD was identified by abdominal ultrasonography and cardiometabolic profiles. Data linkage was performed using 3 nationwide databases-National Health Insurance, Cancer Registry, and Death Certification System-to obtain information on antiviral treatment, vital status, and newly diagnosed cirrhosis and HCC. Follow-up was conducted until December 31, 2019. RESULTS: In the total population, 122,669 (36.4%) had MASLD. Over a mean follow-up of 15 years, 5562 new cases of cirrhosis and 2273 new cases of HCC were diagnosed. Although MASLD significantly increased the cumulative risks of cirrhosis or HCC (P < .0001), the associated risk was more pronounced when comparing CHB or C infection with the presence of MASLD. Stratifying the participants based on their MASLD and CHB or C statuses, hazard ratios (HRadj) with 95% confidence intervals for HCC were 8.81 (7.83-9.92) for non-steatotic liver disease (SLD) with CHB or C, 1.52 (1.32-1.74) for MASLD without CHB or C, and 8.86 (7.76-10.12) for MASLD with CHB or C, compared with non-SLD without CHB or C (all P < .0001). Among CHB or C patients who received antivirals during follow-up, MASLD was associated with increased risks of cirrhosis and HCC, with HRadj of 1.23 (1.01-1.49) and 1.32 (1.05-1.65), respectively. CONCLUSIONS: These findings underscore the need to prioritize treatment of chronic viral hepatitis before addressing MASLD.

Hepatitis C virus infection associated with coronary and thoracic aortic atherosclerosis.

BACKGROUND: Coronary and thoracic aortic calcification was associated with stroke, coronary heart, and peripheral vascular disease. Hepatitis C virus (HCV) infection is significantly associated with insulin resistance, diabetes mellitus and hepatic steatosis. We aimed to investigate the relationship between HCV infection and coronary, thoracic aortic atherosclerosis. MATERIALS AND METHODS: Calcification was detected by chest computed tomography and defined as any Agatston score greater than zero. Metabolic syndrome was based on the modified Adult Treatment Panel III criteria. Fibrosis-4 (FIB-4) and AST-to-platelet ratio (APRI) was calculated. The anti-HCV signal-to-cutoff (S/CO) ratio was determined by the third generation ELISA kit. Atherosclerosis risk was estimated by using multiple logistic regression modeling. RESULTS: Being positive for both metabolic syndrome and HCV infection (OR = 2.65, 95% CI: 1.26-5.59, p = 0.007), negative for metabolic syndrome and positive for HCV infection (OR = 2.75, 95% CI: 1.48-5.30, p = 0.001), and positive for metabolic syndrome and negative for HCV infection (OR = 2.42, 95% CI: 1.92-3.07, p < 0.001) were associated with atherosclerosis compared with being negative for both metabolic syndrome and HCV infection (Ptrend< 0.001). HCV infection with liver fibrosis (HCVFIB4>1.4; OR = 2.16, 95% CI: 1.22-3.82, p = 0.008), or (HCVAPRI>0.5; OR = 3.40, 95% CI: 1.28-9.06, p = 0.014) and elevated anti-HCV S/CO ratio (anti-HCVS/CO>10.0; OR = 1.72, 95% CI: 1.01-2.93, p = 0.045) was associated with atherosclerosis. CONCLUSIONS: HCV infection with metabolic syndrome, liver fibrosis and elevated anti-HCV S/CO ratio was associated with atherosclerosis.

Third vaccine boosters and anti-S-IgG levels: A comparison of homologous and heterologous responses and poor immunogenicity in hepatocellular carcinoma.

The immune response of patients with chronic liver disease tends to be lower after receiving their second coronavirus disease 2019 (COVID-19) vaccine dose, but the effect of a third vaccine dose on their immune response is currently unknown. We recruited 722 patients without previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from three hospitals. The patients received homologous (MMM) and heterologous (AZAZBNT, AZAZM) boosters, where AZ, BNT, and M denoted the AZD1222, BNT162b2, and mRNA-1273 vaccines, respectively. Serum IgG spike antibody levels were measured at a mean 1.5 ± 0.7 (visit 1) and 5.0 ± 0.5 (visit 2) months after the third vaccine booster. A threshold of 4160 AU/mL was considered significant antibody activity. In both visits, the patients who received the MMM booster had higher anti-S-IgG levels than those who received the AZAZBNT and AZAZM boosters. Patients with active hepatocellular carcinoma (HCC) had lower anti-S-IgG levels than the control group (761.6 vs. 1498.2 BAU/mL; p = 0.019) at visit 1. The anti-S-IgG levels decreased significantly at visit 2. The patients with significant antibody activity had a lower rate of liver cirrhosis with decompensation (0.7% decompensation vs. 8.0% non-decompensation and 91.3% non-liver cirrhosis, p = 0.015), and active HCC (1.5% active HCC vs. 3.7% non-active HCC and 94.7% non-HCC, p < 0.001). Receiving the MMM booster regimen (OR = 10.67, 95% CI 5.20-21.91, p < 0.001) increased the odds of having significant antibody activity compared with the AZAZBNT booster regimen. Patients with active HCC had a reduced immune response to the third COVID-19 vaccine booster. These findings underscore the importance of booster vaccinations, especially in immunocompromised patients, with superior efficacy observed with the homologous mRNA-1273 regimen.

An algorithm for simplified hepatitis C virus treatment with non-specialist care based on nation-wide data from Taiwan.

BACKGROUND: Both European Association for the Study of the Liver (EASL) and American Association for the Study of Liver Diseases and the Infectious Diseases Society of America (AASLD-IDSA) guidelines recommend simplified hepatitis C virus (HCV) treatment with pan-genotypic sofosbuvir/velpatasvir or glecaprevir/pibrentasvir for eligible patients. This observational study used real-world data to assess these regimens' safety in eligible patients and develop an algorithm to identify patients suitable for simplified treatment by non-specialists. METHODS: 7,677 HCV-infected patients from Taiwan Hepatitis C Registry (TACR) who received at least one dose of sofosbuvir/velpatasvir or glecaprevir/pibrentasvir, and fulfilled the EASL/AASLD-IDSA criteria for simplified treatment were analyzed. Multivariate analysis was conducted on patient characteristics and safety data. RESULTS: Overall, 92.8% (7,128/7,677) of patients achieved sustained virological response and only 1.9% (146/7,677) experienced Grades 2-4 laboratory abnormalities in key liver function parameters (alanine aminotransferase, aspartate aminotransferase, and total bilirubin), with only 18 patients (0.23%) experiencing Grades 3-4 abnormalities. Age > 70 years old, presence of hepatocellular carcinoma, total bilirubin > 1.2 mg/dL, estimated glomerular filtration rate < 60 mL/min/1.73 m2, and Fibrosis-4 > 3.25 were associated with higher risks of Grades 2-4 abnormalities. Patients with any of these had an odds of 4.53 times than that of those without in developing Grades 2-4 abnormalities (p < 0.01). CONCLUSIONS: Real-world data from Taiwan confirmed that simplified HCV treatment for eligible patients with pan-genotypic regimens is effective and well tolerated. The TACR algorithm, developed based on this study's results, can further identify patients who can be safely managed by non-specialist care.

Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program.

BACKGROUND/AIMS: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1-3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. METHODS: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. RESULTS: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. CONCLUSION: Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Racial and ethnic disparities in untreated patients with hepatitis C virus-related hepatocellular carcinoma but not in those with sustained virologic response.

BACKGROUND: Racial and ethnic disparities exist for hepatitis C virus (HCV) treatment and hepatocellular carcinoma (HCC) survival. AIM: To evaluate the impact of HCV treatment on such disparities. METHODS: In a retrospective cohort study, we analysed 6069 patients with HCV-related HCC (54.2% Asian, 30.1% White, 8.5% Black, and 7.3% Hispanic) from centres in the United States and Asia. RESULTS: The mean age was 61, 60, 59 and 68, respectively, for White, Black, Hispanic and Asian patients. Black patients were most likely to have Barcelona Clinic Liver Cancer stage D, vascular invasion and distant metastasis (23% vs. 5%-15%, 20% vs. 10%-17% and 10% vs. 5%-7%, respectively; all p < 0.0001). Treatment rate with direct-acting antiviral agents (DAA) was 35.9% for Asian, 34.9% for White, 30.3% for Hispanic (30.3%), and 18.7% for Black patients (p < 0.0001). Among those untreated or without sustained virologic response (SVR), 10-year survival rates were 35.4, 27.5, 19.3 and 14.0, respectively, for Asian, Hispanic, White and Black patients (p < 0.0001). There were no statistically significant differences among those with SVR (p = 0.44). On multivariable analysis adjusted for relevant confounders, there was no statistically significant association between survival and being Hispanic (aHR: 0.68, p = 0.26) or Black (aHR: 1.18, p = 0.60) versus White. There was a significant association between being Asian American and survival (aHR: 0.24, p = 0.001; non-U.S. Asian: aHR: 0.66, p = 0.05), and for SVR (aHR: 0.30, p < 0.0001). CONCLUSION: DAA treatment rates were suboptimal. Racial and ethnic disparities resolved with HCV cure. Early diagnosis and improved access to HCV treatment is needed for all patients with HCV infection.

Performance of noninvasive seromarkers in predicting liver fibrosis among MAFLD patients with or without viral hepatitis.

The accuracy of noninvasive seromarkers in predicting liver fibrosis in metabolic dysfunction-associated fatty liver disease (MAFLD) patients with or without viral hepatitis is elusive. The AST to platelet ratio index (APRI), fibrosis-4 index (FIB-4), and NAFLD fibrosis score (NFS) were assessed in 871 MAFLD patients who received elastography in a viral hepatitis-endemic area. The area under the receiver operating characteristic (AUROC) curve increased substantially with increasing fibrotic stage across the three biomarkers. APRI (AUROC range 0.73-0.80) and FIB-4 (AUROC range 0.66-0.82) performed better than NFS (AUROC range 0.63-0.75). When patients were divided into viral and non-viral MAFLD groups, a better AUROC of APRI (range 0.76-0.80) and FIB-4 (range 0.68-0.78) than NFS (range 0.62-70) existed only in viral MALFD but not in non-viral MAFLD. Regarding the NFS, the AUROC was higher in non-viral MAFLD (range 0.69-0.86) and outperformed viral MAFLD at all fibrotic stages. The accuracy in predicting liver fibrosis increased with the advancement of liver disease for the three biomarkers. NFS exerted better diagnostic accuracy in non-viral than in viral MAFLD patients across different fibrotic stages. The best accuracy was 91.1% using the cutoff value of -9.98 for the NFS in predicting liver cirrhosis in non-viral MAFLD patients. The APRI and FIB-4 performed better than the NFS in predicting liver fibrosis in MAFLD as a whole. The suboptimal performance and accuracy of the NFS existed only in viral MAFLD patients. Caution should be taken when assessing the NFS in MAFLD patients with viral hepatitis.