INTRODUCTION: Evidence on the comparative real-world effectiveness of terlipressin vs midodrine plus octreotide (MO) for hepatorenal syndrome-acute kidney injury (HRS-AKI) in the United Kingdom and the United States is limited. METHODS: Using individual-level chart review data for patients across the United Kingdom (2013–2017) and the United States (2016–2019), an indirect treatment comparison was conducted comparing the efficacy of terlipressin (UK cohort) with MO (US cohort). Covariate balancing propensity scoring matched the cohorts on baseline serum creatinine (SCr), presence of encephalopathy and/or ascites, albumin use and duration, age, and sex. The primary endpoint was HRS reversal, defined as achieving SCr ≤1.5 mg/dL by the last day of treatment. RESULTS: At treatment initiation, 90.2% of UK patients received terlipressin (194/215), while 89.2% of US patients received MO (140/157). Concomitant albumin was administered in 67.9% of UK and 98.7% of US patients. In a covariate balancing propensity score-adjusted cohort, HRS reversal was achieved in 53.2% of terlipressin-treated patients (the United Kingdom, weighted effective sample size of 75) compared with 16.9% of MO-treated patients (the United States, n = 89) (adjusted mean difference (95% CI) 36.3% (22.4, 50.2), P < 0.0001). In adjusted analysis, individuals treated with terlipressin experienced an overall reduction in SCr at completion of treatment (SCr decrease 1.00 mg/dL vs increase of 0.08 mg/dL for MO-treated patients, P < 0.0001). DISCUSSION: HRS-AKI treatment and outcomes differ between the United Kingdom and the United States, attributed to the historical standard of care MO in the United States. In adjusted analyses, real-world use of terlipressin was more effective than MO at improving kidney function and achieving HRS-AKI reversal.
Outcomes of Acute Tubular Necrosis in Hospitalized Patients with Cirrhosis: Results from the HRS-HARMONY Consortium
Acute-on-chronic liver failure (ACLF) has been associated with excellent post-liver transplant (LT) outcomes at 1 year; however, the impact of alcohol as ACLF precipitant, specifically alcohol-associated hepatitis (AH), and as etiology of chronic liver disease remains uncertain. This study aimed to assess the effect of alcohol as ACLF precipitant and chronic liver disease etiology (alcohol-associated liver disease vs. non–alcohol-associated liver disease) on posttransplant outcomes. We performed a retrospective study using the Multi-Organ Dysfunction and Evaluation for LT Consortium database and included 640 patients with ACLF who underwent LT across 15 transplant centers in North America. The primary outcome was 1-year posttransplant survival. We used logistic regression and Cox proportional hazards to compare posttransplant survival, mortality risk, and health care utilization, adjusting for age, ACLF grade, comorbid diabetes mellitus, chronic kidney disease, and HCC. The median follow-up from LT was 2.8 years (P25–P75, 2.2–5.5 y) for patients with AH-ACLF (n=42) and 3.1 years (P25–P75, 1.6–4.9 y) for patients without AH (n=598). No significant difference was observed in 1-year survival after LT in patients with AH-ACLF versus those without AH ( p =0.36). Patients with AH had significantly higher health care utilization evidenced by greater length of stay (28.5 vs. 19.0 d, p =0.004; adjusted linear estimate 16.89, 95% CI: 7.66–26.11, p <0.001), higher rates of rehabilitation placement (71.4% vs. 41.8%, p =0.002; adjusted odds ratio: 4.13, 95% CI: 2.04–8.89, p <0.001), and non-ambulatory status (39.0% vs. 21.0%, p =0.005; adjusted odds ratio: 4.54, 95% CI: 1.90–10.79, p <0.001). Compared with other etiologies, alcohol-associated liver disease was not associated with differences in 1-year mortality, mortality risk over time, or health care utilization, after excluding patients with AH as ACLF precipitant. While there were no differences in 1-year survival, AH-ACLF was associated with higher health care resource utilization compared with other ACLF precipitants. LT centers should ensure adequate resources are allocated for the management of these patients.
Association Between Transjugular Intrahepatic Shunt (TIPS) and Waitlist Outcomes in Simultaneous Liver Kidney (SLK) Transplant Candidates
ABSTRACT Background The association between transjugular intrahepatic portosystemic shunt TIPS and waitlist outcomes in simultaneous liver‐kidney (SLK) transplant recipients remains unclear. Methods Between 2003 and 2023, we examined the scientific registry of transplant recipients. All adult candidates with overlapping waiting lists for liver and kidney transplants ( N = 15 087) were analyzed (entire cohort). Candidates without TIPS ( n = 13 980) and with ( n = 1107) were followed through November 30, 2023, and the following outcomes were analyzed: death, SLK transplant, liver‐ or kidney‐alone transplant, or removal from the list. The Aalen–Johansen method was used to calculate the cumulative incidence rates of the outcomes, where the outcomes were considered competing risks. Mixed effects Cox proportional hazard models were used to compare the outcomes by TIPS status. We separately analyzed dialysis‐dependent candidates ( n = 10 370). Results In the entire cohort, the 1‐year cumulative incidence of death in those without TIPS was higher than in those with (12.5% vs. 9%). In the dialysis‐dependent cohort, the 1‐year death incidence was 13.3% versus 8.8% in those without TIPS and those with, respectively. In the multivariable Cox proportional hazard models, TIPS was associated with a 29% lower mortality risk in the entire cohort (HR = 0.71, 95% CI: 0.60–0.84, p < 0.001) and a 33% lower risk of mortality in the dialysis‐dependent cohort. The likelihood of receiving SLK was lower for recipients with TIPS in the univariable analysis. However, this association was attenuated after adjustment. The causes of removal were similar irrespective of TIPS status in both cohorts. Conclusion In this large cohort of SLK candidates, those with TIPS had a better waitlist survival, irrespective of their dialysis requirements before transplantation. Prospective studies are needed to validate these findings.
Parental liver disease mortality is associated with unfavorable outcomes in patients with alcohol-associated hepatitis
Background: How parental alcohol use disorder and liver disease-related mortality influence the risk and the outcomes of alcohol-associated hepatitis (AH) in the offspring is unknown. Methods: We analyzed data from 2 prospective observational studies of AH cases and heavy drinking controls (HDCs). Family history of parental alcohol use disorder and liver disease mortality was assessed at the study entry. Logistic regression and Cox proportional hazard models were used to assess the influences of family history on AH development and outcome. Results: Data from 1356 participants in two prospective cohorts (926 AH cases and 430 HDC) were combined and analyzed. Parental alcohol use disorder was found in 56.9% of AH cases and 61.1% of HDC; parental death due to liver disease was reported in 7.5% of AH cases and 5.7% of HDC. Multivariable logistic regression showed that parental liver disease-related mortality was associated with more than a doubled risk of AH development in the offspring after controlling for their demographic characteristics and drinking behavior (OR=2.26, 95% CI: [1.22, 4.20]). Moreover, among the AH cases, having a parent die of liver disease significantly increased the 90-day mortality of study participants after adjusting for the effects of other risk factors (HR=2.26, 95% CI: [1.05, 4.86]). Conclusions: The study highlights the influences of parental death due to liver disease on AH development and mortality. Identifying patients at risk of AH through family history might help facilitate discussions on reducing alcohol consumption.
Safety and efficacy of continuous infusion terlipressin (BIV201): A phase 2 trial in patients with decompensated cirrhosis and refractory ascites
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.
Pentoxifylline use in alcohol-associated hepatitis with acute kidney injury does not improve survival: a global study
Background Severe alcohol-associated hepatitis (sAH) is a life-threatening condition with high mortality, where corticosteroid use is the only treatment that has shown short-term benefits. Pentoxifylline, an anti-tumour necrosis factor-alpha agent, has been proposed for its potential to improve outcomes, especially in patients with acute kidney injury (AKI). We aimed to evaluate the impact of pentoxifylline on mortality in patients with sAH and AKI in a well-characterised global cohort. Methods We conducted a retrospective, registry-based study including patients meeting the National Institute on Alcohol Abuse and Alcoholism clinical criteria for sAH and AKI. Mortality was the primary endpoint, with liver transplantation as a competing risk. Statistical analysis included Cox regression and Kaplan-Meier survival estimates. Results We included 525 patients from 20 centres across eight countries. The median age was 48 years, with 26.1% females, and 76.9% had a history of cirrhosis. Multivariable Cox regression models showed that pentoxifylline use was not associated with survival (HR 1.20, 95% CI 0.85 to 1.69, p=0.291). Factors associated with mortality included age (HR 1.23, 95% CI 1.10 to 1.36, p<0.001), Model for End-Stage Liver Disease score at admission (HR 1.06, 95% CI 1.04 to 1.08, p<0.001) and renal replacement therapy use (HR 1.39, 95% CI 1.05 to 1.84, p=0.019). The main causes of death were multiple organ failure (42%), infections (10%), oesophageal varices bleeding (7%) and renal failure (6%). Conclusion Pentoxifylline showed no significant benefit on mortality in patients with sAH and AKI. Further studies are needed to refine treatment strategies for this high-risk group.
Moderate alcohol-associated hepatitis: A real-world multicenter study
Background: Severe alcohol-associated hepatitis (sAH) is a well-characterized disease with high short-term mortality. However, there is limited research on those with a “less severe condition” (moderate AH). This study aims to characterize in-depth patients with moderate AH (mAH), including the performance of mortality scoring systems, key prognostic factors, and survival over time. Methods: A multicenter retrospective cohort study (2009–2019) included patients with mAH (MELD score ≤20 at admission). Cox regression and receiver operating characteristic curves with AUC were used for analysis. Results: We included 1845 patients with AH (20 centers, 8 countries) between 2009 and 2019. mAH was defined as a MELD score ≤20 at admission. Twenty-four percent met the criteria for an mAH episode. Patients with mAH tend to be older and have a higher proportion of females, with a median MELD of 17 (15–19), Maddrey discriminant function (mDF) of 33 (22–40), the trajectory of serum bilirubin of 0.83 (0.60–1.21), and neutrophil-to-lymphocyte ratio (NLR) of 5 (2.96–8.60). The primary causes of death in mAH included multiple organ failure (34.1%) and infections (16.6%). The cumulative survival rates at 30, 90, and 180 days were 94.3%, 90.4%, and 88.2%, respectively. In multivariable analysis, age was the only significant predictor of 30-day mortality (HR 1.49, 95% CI: 1.27–1.76, p <0.001). Mortality prediction models showed poor performance, with AUC for MELD (0.671), mDF (0.726), trajectory of serum bilirubin (0.733), and NLR (0.697). Conclusions: Patients with moderate AH exhibited a mortality of 11.8% at 6 months, primarily driven by multiple organ failure and infections. These patients also exhibit a different clinical profile compared to those with sAH. Tailored models and therapeutic strategies are needed to improve long-term outcomes in mAH.
Training and Performance of an Electrocardiogram-Enabled Machine Learning Model for Detection of Advanced Chronic Liver Disease
INTRODUCTION: Building on prior results, we hypothesized that an electrocardiogram (ECG)-enabled machine learning (ML) model could be used to detect advanced chronic liver disease (CLD). METHODS: A cohort with CLD and 12-lead ECGs was matched with controls from electronic health records. A ML model was trained as a binary classifier. RESULTS: There are 12,930 patients with CLD and 64,577 controls in the cohort. The model's discriminative ability to classify CLD showed an area under the receiver-operating characteristic curve 0.858 (95% confidence interval: 0.850–0.866), and at the chosen threshold, CLD ECGs had 12 times higher odds of being classified as CLD (diagnostic odds ratio 12.33, 95% confidence interval: 11.16–13.63). DISCUSSION: An ECG-enabled ML model affords great promise in identifying advanced CLD in low resource areas.
AI-driven synthetic data generation for accelerating hepatology research: A study of the United Network for Organ Sharing (UNOS) database
Background and Aims: Clinical hepatology research often faces limited data availability, underrepresentation of minority groups, and complex data-sharing regulations. Synthetic data—artificially generated patient records designed to mirror real-world distributions—offers a potential solution. We hypothesized that diffusion models, a state-of-the-art generative technique, could produce synthetic liver transplant waitlist data from the United Network for Organ Sharing database that maintains statistical fidelity, replicates clinical correlations and survival patterns, and ensures robust privacy protection. Approach and Results: Diffusion models were used to generate synthetic patient cohorts mirroring the United Network for Organ Sharing liver transplant waitlist database between the years 2019 and 2023. Statistical fidelity was assessed using maximum mean discrepancy (MMD) and Wasserstein distance, correlation analysis, and variable-level metrics. Clinical utility was evaluated by comparing transplant-free survival via Kaplan–Meier curves and the MELD score performance. Privacy was quantified using the Distance to Closest Record (DCR) and attribute disclosure risk assessments. The synthetic dataset was nearly indistinguishable from the original dataset (MMD=0.002, standardized Wasserstein distance <1.0), preserving clinically relevant correlations and survival patterns as evidenced by similar median survival times (110 vs. 101 days) and 5-year survival rates (22.2% vs. 22.8%). MELD-based 90-day mortality prediction was maintained (original AUC=0.839 vs. synthetic AUC=0.844). Privacy metrics indicated no identifiable patient matches, and mean DCR values ensured that synthetic individuals were not direct replicas of real patients. Conclusion: Artificial intelligence–generated synthetic data derived from diffusion models can faithfully replicate complex hepatology datasets, maintain key clinical signals, and ensure strong privacy safeguards. This approach can help address data scarcity, enhance model generalizability, foster multi-institutional collaboration, and accelerate progress in hepatology research.