Idilman, Ramazan

ABSTRACT Background and Aims It remains unclear whether different factors influence 30‐ and 90‐day readmission rates. We identified predictors of 90‐day mortality in a global cohort of hospitalised patients with cirrhosis. Methods Variables associated with 30‐ and 90‐day post‐discharge readmission, liver transplantation (LT), and mortality were compared in prospectively enrolled, non‐electively hospitalised adult patients with cirrhosis. Results We enrolled 4208 patients from 125 centres across 37 countries. Alcohol‐related liver disease was the most common aetiology of cirrhosis (40%), followed by hepatitis B virus infection (21%); 47% were readmitted, 8% received liver transplantation (LT), and 23% died within 90 days post‐discharge. In multivariable analysis, country income was significantly associated with both 30‐ and 90‐day readmission rates, the receipt of LT, and mortality within 30 and 90 days post‐discharge (all p ‐values < 0.001). Independent predictors of higher rates of 30‐ and 90‐day readmissions, respectively, were disease severity ( p < 0.001, p = 0.003), prior ascites ( p = 0.025, p = 0.016), prior hospitalisation ( p < 0.001), hyponatremia ( p < 0.001, p = 0.008), and in‐hospital vasopressor use ( p = 0.002, p = 0.011). Prior variceal bleeding independently predicted higher 90‐day readmission rates, whereas age, disease severity, mechanical ventilation, and in‐hospital vasopressor use (all, p < 0.001) increased odds of 30‐ and 90‐day post‐discharge death. Additionally, admission ( p = 0.011) and nosocomial ( p = 0.022) infections increased the odds of 90‐day post‐discharge death. Conclusion In a global cohort of hospitalised patients with cirrhosis, patients in high‐income countries exhibited the highest rates of 30‐ and 90‐day readmission, alongside lower mortality rates and a higher incidence of LT. Variables that predict 30‐day readmission also predicted 90‐day readmission. Understanding these disparities is essential for achieving health equity.

INTRODUCTION: Nosocomial infections (NIs) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have failed to identify high-risk patients. We aimed to develop machine learning (ML) models to predict NI. METHODS: The CLEARED consortium consists of prospectively enrolled cirrhosis inpatients from >120 centers. Using day-of-admission clinical data, 3 ML approaches (random forest [RF], extreme gradient boosting, and neural networks [NNs]) were used to predict NI. Data were split 80:20 for training and testing stratified by the outcome. Models were compared using area under the receiver operating characteristic curve (AUC). RESULTS: In total, 8,263 patients (55.90 ± 13.34 years; 64.1% men) from 127 centers in 37 countries were included. NI developed in 869 (10.5%), a median of 6 (4–11) days of postadmission. Major NIs were respiratory (29.6%) and urinary tract infection (15.7%), and spontaneous bacterial peritonitis (13.5%). NIs occurred more frequently in patients from low/low-middle income countries and those with severe liver disease, alcohol etiology, and admission infections. NIs were associated with inpatient mortality (31.9% vs 8.1%, P < 0.001) and liver transplantation (4.8% vs 1.9%, P < 0.001). Although the RF model (AUC 0.69) showed good calibration (Brier score 0.09), outperforming extreme gradient boosting, neural network, and LR models (AUC 0.66 for all; LR comparison P = 0.043), no model achieved AUC ≥0.80 for clinical utility. At 10% predicted probability threshold, the RF model demonstrated only 75.4% sensitivity, 52.9% specificity, and 15.9% positive predictive value (PPV). DISCUSSION: NIs cannot be accurately predicted from day-of-admission data using ML models, even in a large, prospective, global cirrhosis cohort. Every hospitalized patient with cirrhosis should receive protocolized infection control measures.

Hepatitis D virus (HDV) infection remains a major cause of severe liver disease among hepatitis B virus (HBV)-infected patients, contributing to accelerated progression to cirrhosis and hepatocellular carcinoma. Pegylated interferon-α remains the first-line therapy for chronic HDV infection in most cases. However, despite its approval for HBV and hepatitis C virus (HCV) infections, its use in HDV is largely driven by a lack of other options and is constrained by its limited efficacy, suboptimal durability of response, and a substantial side effect profile. Meanwhile, bulevirtide, an entry inhibitor, became the first agent to be approved for use in chronic HDV infections by the European Medicines Agency (EMA), and several other therapies are currently being investigated as well. In this review, we provide updates on recent advancements in HDV treatment and novel therapies.

SummaryBackground & AimsThe natural progression of hepatic decompensation in metabolic dysfunction‐associated steatotic liver disease (MASLD) is not well‐characterised. We aimed to describe it by conducting a retrospective analysis.MethodsThis longitudinal, retrospective analysis of well‐characterised MASLD cohorts followed for hepatic decompensation and death. The sequence of liver‐related events was evaluated, and the median time between hepatic decompensation episodes and death versus. transplantation was measured.ResultsOf the 2016 patients identified, 220 (11%) developed at least one episode of hepatic decompensation during a median follow‐up of 3.2 years. Ascites was the most common first liver‐related event [153 (69.5%)], followed by hepatic encephalopathy (HE) [55 (25%)] and variceal haemorrhage (VH) [30 (13.6%)]. Eighteen out of the 220 (8.1%) patients had more than one liver‐related event as their first hepatic decompensation. Among the patients who had the first episode, 87 (39.5%) had a second episode [44 (50.5%) HE, 31 (35.6%) ascites, and 12 (13.7%) VH]. Eighteen out of 220 (8.1%) had a third episode [10 (55.5%) HE, 6 (33.3%) VH, and 2 (11.1%) ascites]. Seventy‐three out of 220 (33.1%) died, and 31 (14%) received liver transplantation. The median time from the first episode to the second was 0.7 years and 1.3 years from the second episode to the third. The median survival time from the first episode to death or transplantation was 2.0 years.ConclusionThe most common first liver‐related event in MASLD patients is ascites. The median survival from the first hepatic decompensation to either death or transplantation is 2 years.

SummaryBackgroundProgression to cirrhosis in non‐alcoholic steatohepatitis (NASH) is associated with a decrease in liver fat. However, the prognostic significance of liver fat content in NASH‐related significant fibrosis and cirrhosis is unclear.AimTo investigate the risk of decompensation, hepatocellular carcinoma (HCC) and mortality stratified by liver fat content in NASH‐related significant fibrosis and cirrhosis.MethodsIn this meta‐analysis of individual participant data, 456 patients with both magnetic resonance elastography (MRE) and MRI‐derived protein density fat fraction (MRI‐PDFF) were enrolled, and 296 patients with longitudinal follow‐up were analysed. MRE combined with fibrosis‐4 (MEFIB‐index), and MRI‐PDFF were used to measure liver fibrosis and fat, respectively. MEFIB‐negative, MEFIB‐positive+ MRI‐PDFF ≥5% and MEFIB‐positive+ MRI‐PDFF <5% were defined as no significant liver fibrosis, NASH with significant fibrosis and higher liver fat content, and NASH with significant fibrosis and low liver fat content groups, respectively. The primary outcome was hepatic decompensation, HCC and death.ResultsThe rates of decompensation, HCC and mortality were highest in the NASH with significant fibrosis and low liver fat group (33%, 17% and 17%, respectively), followed by the NASH with significant fibrosis and higher liver fat group (18%, 13% and 13% respectively), and lowest in the no significant fibrosis (MEFIB‐negative) group (0%, 1% and 2% respectively). In multivariable‐adjusted analysis, low liver fat content was strongly associated (HR = 42.2 [95% CI: 7.5–235.5, p < 0.0001]) with HCC, decompensation and death. Sensitivity analyses for patients with cirrhosis (MRE ≥5 kPa) determined consistent findings.ConclusionsLow liver fat content in patients with burnt‐out NASH‐related significant fibrosis and cirrhosis is associated with an increase in hepatic decompensation, HCC and mortality.

Summary Background There are limited data regarding the longitudinal association between MEFIB‐Index (MRE combined with FIB‐4) versus MAST‐Score (MRI‐aspartate aminotransferase) and hepatic decompensation. Aim To examine the longitudinal association between MEFIB‐Index versus MAST‐Score in predicting hepatic decompensation in patients with metabolic dysfunction‐associated steatotic liver disease (MASLD). Methods This was a longitudinal, retrospective analysis of subjects from United States, Japan, and Turkey who underwent a baseline MRE and MRI‐PDFF and were followed for hepatic decompensation. Cox‐proportional hazard analyses were used to assess the association between MEFIB‐Index versus MAST‐Score with a composite primary outcome (hepatic decompensation) defined as ascites, hepatic encephalopathy, and varices needing treatment. Results This meta‐analysis of individual participants (IPDMA) included 454 patients (58% women) with a mean (±SD) age of 56.0 (±13.5) years. The MEFIB‐Index (MRE ≥3.3 kPa + FIB 4 ≥1.6) and MAST‐Score (>0.242) were positive for 34% and 9% of the sample, respectively. At baseline, 23 patients met criteria for hepatic decompensation. Among 297 patients with available longitudinal data with a median (IQR) of 4.2 (5.0) years of follow‐up, 25 incident cases met criteria for hepatic decompensation. A positive MEFIB‐Index [HR = 49.22 (95% CI: 6.23–388.64, p < 0.001)] and a positive MAST‐Score [HR = 3.86 (95% CI: 1.46–10.17, p < 0.001)] were statistically significant predictors of the incident hepatic decompensation. MEFIB‐Index ( c ‐statistic: 0.89, standard error (SE) = 0.02) was statistically superior to the MAST‐Score ( c ‐statistic: 0.81, SE = 0.03) ( p < 0.0001) in predicting hepatic decompensation. Conclusion A combination of MRI‐based biomarker and blood tests, MEFIB‐Index and MAST‐Score can predict the risk of hepatic decompensation in patients with MASLD.

Background and Aims: Fatty liver disease is a major public health threat due to its very high prevalence and related morbidity and mortality. Focused and dedicated interventions are urgently needed to target disease prevention, treatment, and care. Approach and Results: We developed an aligned, prioritized action agenda for the global fatty liver disease community of practice. Following a Delphi methodology over 2 rounds, a large panel (R1 n = 344, R2 n = 288) reviewed the action priorities using Qualtrics XM, indicating agreement using a 4-point Likert-scale and providing written feedback. Priorities were revised between rounds, and in R2, panelists also ranked the priorities within 6 domains: epidemiology, treatment and care, models of care, education and awareness, patient and community perspectives, and leadership and public health policy. The consensus fatty liver disease action agenda encompasses 29 priorities. In R2, the mean percentage of “agree” responses was 82.4%, with all individual priorities having at least a super-majority of agreement (> 66.7% “agree”). The highest-ranked action priorities included collaboration between liver specialists and primary care doctors on early diagnosis, action to address the needs of people living with multiple morbidities, and the incorporation of fatty liver disease into relevant non-communicable disease strategies and guidance. Conclusions: This consensus-driven multidisciplinary fatty liver disease action agenda developed by care providers, clinical researchers, and public health and policy experts provides a path to reduce the prevalence of fatty liver disease and improve health outcomes. To implement this agenda, concerted efforts will be needed at the global, regional, and national levels.

Background and Aims: Magnetic resonance elastography (MRE) is an accurate, continuous biomarker of liver fibrosis; however, the optimal combination with clinical factors to predict the risk of incident hepatic decompensation is unknown. Therefore, we aimed to develop and validate an MRE-based prediction model for hepatic decompensation for patients with NAFLD. Approach and Results: This international multicenter cohort study included participants with NAFLD undergoing MRE from 6 hospitals. A total of 1254 participants were randomly assigned as training (n = 627) and validation (n = 627) cohorts. The primary end point was hepatic decompensation, defined as the first occurrence of variceal hemorrhage, ascites, or HE. Covariates associated with hepatic decompensation on Cox-regression were combined with MRE to construct a risk prediction model in the training cohort and then tested in the validation cohort. The median (IQR) age and MRE values were 61 (18) years and 3.5 (2.5) kPa in the training cohort and 60 (20) years and 3.4 (2.5) kPa in the validation cohort, respectively. The MRE-based multivariable model that included age, MRE, albumin, aspartate aminotransferase, and platelets had excellent discrimination for the 3- and 5-year risk of hepatic decompensation (c-statistic 0.912 and 0.891, respectively) in the training cohort. The diagnostic accuracy remained consistent in the validation cohort with a c-statistic of 0.871 and 0.876 for hepatic decompensation at 3 and 5 years, respectively, and was superior to Fibrosis-4 in both cohorts (p < 0.05). Conclusions: An MRE-based prediction model allows for accurate prediction of hepatic decompensation and assists in the risk stratification of patients with NAFLD.