Bajaj, Jasmohan S.

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.

Background/Aims: Infections with drug-resistant organisms (DROs) are associated with poor outcomes in cirrhosis. Rifaximin, widely used for hepatic encephalopathy (HE), could promote cross-resistance, but data regarding clinical impact are conflicting. Aim: Determine predictors of DROs in a global cirrhosis inpatient cohort focusing on preadmission rifaximin use.Methods: From the global CLEARED consortium, we focused on cirrhosis inpatients with infections on/during admission. Clinical/demographic/medication, especially rifaximin details were recorded. The primary outcome was DRO development. Multivariable regression for DRO including clinical, medications, and country income was performed.Results: 2,949 infected inpatients (55.3 years, 62.9% male) were included. 12.2% of all and 24.4% of culture-positive infections developed DROs; these patients had higher HE (39 vs. 31%, <i>P</i>=0.003), hepatorenal syndrome (25 vs. 19%, <i>P</i>=0.006), lactulose (55 vs. 47%, <i>P</i>=0.008) and rifaximin use (34 vs. 27%, <i>P</i>=0.006) on crude comparisons but country-income distributions were similar. 29.7% were on pre-admission rifaximin, mostly HE-related; they had more advanced cirrhosis and from low/low-middle-income countries. Daptomycin was used in 1.5%, linked with DROs (5.0 vs. 1.0%, <i>P</i><0.0001) without a difference in rifaximin use (1.4 vs.1.7%, <i>P</i>=0.61). On adjusted analysis, MELD-Na (1.03, 95% CI 1.02–1.04, <i>P</i><0.001) increased, whereas male sex (0.73, 95% CI 0.58–0.92, <i>P</i>=0.008) and hepatitis-B (0.65, 95% CI 0.45–0.92, <i>P</i>=0.020) decreased DRO. Rifaximin was not associated with DROs overall (OR 1.07, 95% CI 0.80–1.43, <i>P</i>=0.65) or within income strata (high: 1.07, 95% CI 0.59–1.92, <i>P</i>=0.82, upper-middle: 1.18, 95% CI 0.74–1.85, <i>P</i>=0.49, low/low-middle: 1.04, 95% CI 0.60–1.81, <i>P</i>=0.90) despite sensitivity analyses.Conclusions: In this large global cohort of hospitalized patients with cirrhosis and infections, 12% developed infections involving DROs. 30% had pre-admission rifaximin use which was not linked with daptomycin use or with DRO development on adjusted analysis overall or across country income groups.

INTRODUCTION: The American College of Gastroenterology assembled a multidisciplinary task force to evaluate the current state and future direction of artificial intelligence (AI) in gastroenterology, hepatology, and endoscopy leading to the development of consensus-based recommendations for responsible AI integration in clinical practice. METHODS: A total of 32 subject-matter experts and 12 industry partners, representing diverse practice settings and expertise, conducted subgroup literature reviews across 5 key areas (endoscopy, practice management clinical applications, training and education, inflammatory bowel disease and liver disease, ethics and equity). Draft statements were developed and rated on a 5-point Likert scale using a modified Delphi process. A consensus was set at ≥70% combined agreement. Nonconsensus items were revised and revoted electronically. RESULTS: A total of 43 statements, 40 (93%) reached consensus in round 1 and the remaining 3 achieved consensus after round 2. Evidence supports computer-aided detection improving adenoma detection rate and miss rate in controlled studies, with mixed real-world impact and insufficient long-term outcomes (e.g., interval colon cancer rate). Recommendations emphasize thorough validation and reduction of bias by heterogeneous Data sets. Outside endoscopy, ambient AI scribes, natural language processing (NLP)-enabled coding, workflow optimization, and previous authorization support show potential. Training recommendations endorse a structured AI curriculum while preserving independent procedural competence to avoid deskilling. In inflammatory bowel disease and hepatology, AI could help improve diagnostic accuracy, help predict risk of disease progression, and help guide therapy. Equity, governance, and reimbursement statements call for chain-of-custody data protections, specialty-society oversight, and payment models that reward quality and cost reduction. DISCUSSION: This consensus outlines how AI can augment rather than replace clinical expertise while promoting safety, transparency, interoperability, and equity. Priorities include pragmatic and prospective trials, multi-institutional data-sharing consortia, bias mitigation, and workforce training to enable trustworthy and clinically impactful AI adoption in gastroenterology, liver, and endoscopy care.

Background: Cholestatic liver diseases, including primary sclerosing cholangitis, are characterized by biliary fibroinflammation. TGFβ-activated cholangiocytes release signals that recruit immune cells and activate myofibroblasts, promoting inflammation and extracellular matrix (ECM) deposition. TGFβ also regulates stearoyl-CoA desaturase (SCD), an enzyme involved in lipid signaling. Yet, the role of SCD or its inhibitor, Aramchol, in biliary fibroinflammation had not been studied. Methods and Results: Mdr2 -/- with established biliary fibrosis and 3,5-diethoxycarboncyl-1,4-dihydrocollidine (DDC) diet-fed mice were treated with Aramchol meglumine (12.5 mg/kg/day). Hepatic fibrosis was assessed by qPCR, Picrosirius red staining, immunofluorescence, and hydroxyproline content. Human H69 or murine large cholangiocyte cell lines stimulated with TGFβ, as well as PSC-derived cholangiocytes (PSC-C), were treated with Aramchol or SCD siRNA. RNA-seq, fibroinflammatory marker expression, peroxisome proliferator-activated receptor (PPAR) activity, and targeted fatty acid profiling were performed. Aramchol treatment significantly reduced hepatic ECM gene expression, inflammatory cytokines ( Il6 , Tnfa ), collagen content, and myofibroblast activation (aSMA staining) in both mouse models. In TGFβ-stimulated H69 cells, Aramchol suppressed hepatic fibrosis pathways and enhanced PPAR signaling. Aramchol also reduced the expression of fibrotic markers, myofibroblast-activating mediators ( VEGFA and PDGFB ), and IL6, mirroring the effects of SCD knockdown. In PSC-C, Aramchol significantly downregulated SCD, VEGFA and IL6 . Conversely, PPARα and -γ activity and fatty acid agonist, linoleic acid levels were increased in cholangiocyte cell lines. Conclusions: Aramchol attenuates and prevents biliary fibrosis in mouse models of cholestatic liver disease by inhibiting TGFβ-induced fibroinflammatory mediators and activating PPARa/γ in cholangiocytes. These findings, combined with its favorable clinical safety profile, support the potential of Aramchol as a therapeutic candidate for PSC.

Background and Aims: Prognosticating outcomes such as hospitalizations in outpatients with cirrhosis is challenging, especially with changing etiologies and demographics. This study aims to determine the impact of multi-omic strategies on outcome prediction. Approach and Results: NACSELD3 enrolls outpatients with cirrhosis with controlled/eradicated etiologies from 10 centers and follows them systematically. At baseline, clinical/demographic and cirrhosis details were recorded and saliva and serum samples were collected for microbiome and metabolome analysis, respectively. Multi-omic bioinformatic studies to determine the interaction of microbiota and metabolites with the clinical prediction of 6-month hospitalizations were performed. Five hundred sixty-five patients (60.2 y, 68% men, 35% alcohol, 33% metabolic dysfunction-associated steatohepatitis, 21%, eradicated HCV with MELD 3.0 12) were enrolled. One hundred sixty-three (29%) required 6-month hospitalizations; most (75%) were liver-related. Those hospitalized had worse cirrhosis severity and comorbidity indices but similar demographics and oral health variables. Salivary microbiome alpha-diversity was lower (1.96±0.48 vs. 2.09±0.45, p =0.018) with greater pathobionts ( Streptococcus , Treponema, Enterococcaceae) and lower commensal genhospitalized/noera ( Veillonella, Prevotella, Haemophilus , Lachnospiraceae spp) at baseline. Serum metabolomics showed significant separation at baseline between hospitalized/non-hospitalized patients using supervised analyses with microbial-origin (phenyllactate, secondary bile acids, indoles), choline moieties, and polyamine/GABA (3-ureidopropionate/spermidine) metabolites being most prominent. Area under the curve using random forest for clinical, microbial, and metabolomic variables was higher than that of these individually. Latent factor analysis showed clinical variables (MELD 3.0, hemoglobin, and albumin) with the greatest impact, followed by salivary microbiota and then serum microbiome for hospitalization prediction. Conclusions: In a multicenter North American outpatient cirrhosis cohort with controlled etiologies, serum metabolomics and salivary microbiome add to clinical variables to prognosticate 6-month hospitalization.

Background and Aims: Reducing avoidable readmissions in cirrhosis is challenging. Enhanced engagement using health information technology (HIT) interventions and caregivers lowered readmissions in an open-label study of the Patient Buddy App (PBA). Aim : Multicenter trial of PBA versus standard of care (SOC) to reduce avoidable readmissions. Approach and Results: An open-label, randomized clinical trial was performed at 3 sites to study the effect of PBA (HIT) versus SOC in cirrhosis inpatients with adult caregivers (dyads). Initial randomization was 1:1:1 between SOC, HIT only, and HIT+ visits. However, due to COVID-19, an unplanned study redesign required a combined HIT versus SOC. Primary outcome : Avoidable readmissions (decided by a blinded monitoring board). Secondary outcomes were all-cause readmission and stakeholder input. PBA focused on medication adherence, cognitive testing, and symptoms, and was remotely monitored by study staff. In all, 464 subjects (232 dyads) were enrolled [Virginia Commonwealth University (VCU): 120, Mayo: 40, Department of Veterans Affairs (VA): 72; 116 dyads/group]. Avoidable readmissions were significantly higher in SOC versus HIT (19.8% vs. 10.3%, p =0.04) with OR of 2.14 (95% CI 1.01–4.54) and remained significant even after removing pre-COVID HIT+ visits patients (19.8% vs. 9.3%, p =0.040) with OR of 2.41 (95% CI 1.02–5.69). All-cause readmissions were higher in SOC versus HIT (48% vs. 30%, p =0.005). App evaluation/engagemen t : 1660 alerts were sent; mostly related to HE. Most dyads were satisfied with the app. Conclusions: In a multicenter randomized clinical trial of 464 cirrhosis inpatients and their CGs across several practice settings, the PBA was associated with lower avoidable readmissions at 30 days post-discharge compared to SOC.

Refractory ascites often requires therapeutic paracentesis, which is associated with potential risks and diminished quality of life. Terlipressin is a vasopressin analog that is indicated for i.v. bolus injection for hepatorenal syndrome, with the potential to reduce large-volume ascites and its complications. Continuous infusion of terlipressin is associated with fewer adverse effects than bolus dosing. The efficacy and safety of continuous infusion of a novel liquid formulation of terlipressin acetate (BIV201) were evaluated in this open-label phase 2 study. Patients with cirrhosis and refractory ascites were randomly assigned (2:1) to receive two 28-day cycles of continuous infusion BIV201 plus standard of care (SOC) separated by a ≤56-day washout (n=10), or SOC alone (n=5). Data analysis was limited by the small sample size and confounded by a potential interaction with gabapentinoids in the BIV201+SOC group. Nonetheless, there were differences in favor of BIV201+SOC versus SOC in the coprimary efficacy endpoints and several quality of life assessments. The beneficial effects of BIV201 on liver complications (mean: 90% CI; BIV201-completers=2.87: 1.51; 5.46 vs. SOC=2.38: 1.20; 4.73) and the change in cumulative ascites (mean: 90% CI; BIV201-completers=−10.76: −26.51; 5.00 vs. SOC=−4.99: −21.95; 11.97) were more pronounced versus SOC in the 5 BIV201+SOC patients who completed both treatment cycles. There were also greater improvements in exploratory quality of life assessments and the percent change in therapeutic paracenteses with BIV201+SOC (−27.94±41.80) versus SOC (−16.67±45.64). Despite the high rate of hyponatremia in the BIV201+SOC group (4/10 patients), the safety profile suggested that continuous BIV201 infusion was well tolerated. These findings support further development of BIV201 in confirmatory trials.

INTRODUCTION: The alfapump system has been shown to be a possible alternative to repeat therapeutic paracentesis (TP) in selected patients with refractory ascites (RA). The objective of this study was to assess the safety and efficacy of alfapump on ascites control and quality of life in these patients. METHODS: Patients with cirrhosis and RA requiring ≥2 TPs 30 days prior were enrolled and followed for 24 months postimplant. Primary efficacy end point assessed at 6 months was reduction in paracentesis requirement; safety end point was device-related adverse events resulting in intervention, explant, or death. RESULTS: Forty patients with RA (mean Model of End-stage Liver Disease-Sodium: 15 ± 4) received an alfapump. TP requirement was decreased from 3.2 ± 1.5 sessions per month preimplant to 0.2 ± 0.6 sessions per month at 6 months postimplant ( P < 0.001), with 77% of patients having ≥50% reduction. Six pumps (15%) were explanted within 6 months due to device-related adverse events, 3 (7.5%) due to pump site skin erosion, and 3 (7.5%) due to bladder discomfort. Twenty-four renal events occurred in the 0–6 month postimplant period; 16 cases were readily reversible stage 1 acute kidney injury. Ascites-related symptoms assessed with an Ascites Q score improved from 51.0 ± 19.3 preimplant to 32.2 ± 21.9 at 6 months postimplant ( P < 0.001). Physical but not mental components of Short Form 36 improved ( P < 0.001). The 5 deaths within 6 months postimplant were not directly related to the device or alfapump therapy. DISCUSSION: The alfapump system effectively controlled ascites, which improved quality of life. It may be considered as an alternative to repeat TP in select patients with RA. Complication rates were similar to those expected in patients with RA.