Early diagnosis and accurate prognostic evaluation are important for guiding clinical treatment and reducing mortality in patients with hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). The present study established novel prognostic scoring models to guide the clinical treatment of patients with HBV-ACLF. We performed a retrospective analysis of clinical data from two cohorts of patients diagnosed with HBV-ACLF. By comparing differences in baseline characteristics and clinical indicators between the survival (n = 102) and dead (n = 64) groups in the derivation cohort(n = 166), four laboratory indicators (age, INR, TBIL, and HBeAg status) and three clinical signs (extrahepatic infection, ascites, and hepatic encephalopathy) were identified as independent risk factors. Logistic regression and nomogram models were used to construct three novel predictive models. By comparing the death and survival groups, we found that the three new models had higher predictions for AUROC (average of 0.856) than the three old models (average of 0.773). Model 1 had the strongest predictive power for the short-term survival rate of HBV-ACLF patients. Finally, we verified the predictive value of the new models for HBV-ACLF in a validation cohort (n = 42), and the Model 2 demonstrated good predictive accuracy for the 30-day survival rate of patients. The novel model based on seven predictors could accurately predict short-term mortality in patients with HBV-ACLF, which is promising for guiding clinical management and addressing the aetiological differences in Asian populations.

This review highlights recent advancements in liver organ allocation, specifically the transition to MELD 3.0 and the potential introduction of continuous distribution. These developments are timely, as they address the increasing need for a more efficient, equitable, and personalized system for prioritizing liver transplant candidates.

The review covers two key innovations: MELD 3.0: A refined version of the original MELD score, designed to improve the prioritization process by incorporating additional factors that offer a more accurate and urgent measure of transplant need. This approach aims to better assess the severity of liver disease and the need for transplantation. Continuous distribution: A dynamic approach that shifts away from the static allocation model. It integrates multiple donor and recipient variables - such as geographic location, organ quality, and recipient condition - into a continuous, flexible allocation process. This framework seeks to make more nuanced decisions based on a broader set of factors that reflect transplant suitability.

These innovations aim to enhance fairness and patient outcomes by refining candidate prioritization and reducing disparities in access to transplants. However, implementing these systems presents challenges, such as technical complexities and regional differences in access. Ongoing evaluation is necessary to ensure their effectiveness and equitable implementation across diverse patient populations.

/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score.

We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score.

A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0 had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0 score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10-20 points was 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase in the MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites.

The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

The geriatric nutritional risk index (GNRI) is widely used for nutritional assessment. Poor nutritional status is associated with complications and poor survival in cirrhotic patients. We aimed to investigate the value of the GNRI in predicting outcomes in cirrhotic patients.

This retrospective study included 420 cirrhotic patients from three centers between 2013 and 2017. Patients were divided into the high GNRI group (≥ 92) and low GNRI group (< 92). Overall survival (OS) in the two groups was evaluated via the Kaplan‒Meier method. Cox proportional hazards model was used to estimate the value of the GNRI in predicting outcomes. Restricted cubic spline model was used to intuitively display the dose‒response associations between the GNRI and OS. A nomogram was constructed to predict OS.

During the 2-year follow-up period, 58 (13.81%) patients died, and 262 (62.38%) patients experienced episodes of complications. Compared with patients in the low GNRI group, those in the high GNRI group had lower mortality rates (18.73% vs. 5.23%, P < 0.001). The GNRI was an independent predictor of OS (hazard ratio [HR] = 0.958, 95% confidence interval [CI] 0.929-0.988, P = 0.007). The GNRI was associated with the cumulative incidence of ascites (HR = 0. 954, 95% CI 0.940-0.969, P < 0.001), spontaneous bacterial peritonitis (HR = 0.928, 95% CI 0.891-0.966, P < 0.001), hepatic encephalopathy (HE; HR = 0.944, 95% CI 0.920-0.968, P < 0.001), and hepatorenal syndrome (HRS) (HR = 0.916, 95% CI 0.861-0.974, P = 0.005). Furthermore, 6 independent factors were included to construct the nomogram for OS prediction, including GNRI, age, total bilirubin, serum sodium, history of HE and HRS. The C statistics of our model were 0.83 (95% CI 0.75-0.90) and 0.80 (95% CI 0.73-0.86) at 1 and 2 years, respectively. Patients whose GNRI score decreased within 3 and 6 months had poorer outcomes (P < 0.001).

The lower GNRI score was associated with the higher cumulative incidence of complications and poorer OS of cirrhotic patients. The GNRI could be a helpful tool for assessing nutritional status and prognosis of these patients.

Accurate prediction of disease severity and prognosis are challenging in patients with cirrhosis. We evaluated whether the deep learning-based AI-Cirrhosis-ECG (ACE) score could detect hepatic decompensation and predict clinical outcomes in cirrhosis.

We analyzed 2,166 ECGs from 472 patients in a retrospective Mayo Clinic cohort, 420 patients in a prospective Mayo transplant cohort, and 341 patients in an external validation cohort from Hospital Clínic de Barcelona. The ACE score's performance was assessed using receiver-operating characteristic analysis for decompensation detection and competing risks Cox regression for outcome prediction.

The ACE score showed high accuracy in detecting hepatic decompensation (area under the curve 0.933, 95% CI: 0.923-0.942) with 88.0% sensitivity and 84.3% specificity at an optimal threshold of 0.25. In multivariable analysis, each 0.1-point increase in ACE score was independently associated with increased risk of liver-related death (hazard ratio [HR] 1.44, 95% CI 1.32-1.58, p <0.001). Adding ACE to model for end-stage liver disease-sodium significantly improved prediction of adverse outcomes across all cohorts (c-statistics: retrospective cohort 0.903 vs. 0.844; prospective cohort 0.779 vs. 0.735; external validation 0.744 vs. 0.732; all p <0.001).

The ACE score accurately identifies hepatic decompensation and independently predicts liver-related outcomes in cirrhosis. This non-invasive tool enhances current prognostic models and may improve risk stratification in cirrhosis management.

This study demonstrates the potential of artificial intelligence to enhance prognostication in liver disease, addressing the critical need for improved risk stratification in cirrhosis management. The AI-Cirrhosis-ECG (ACE) score, derived from widely available ECGs, shows promise as a non-invasive tool for detecting hepatic decompensation and predicting liver-related outcomes, which could significantly impact clinical decision-making and resource allocation in hepatology. These findings are particularly important for hepatologists, transplant surgeons, and patients with cirrhosis, as they offer a novel approach to complement existing prognostic models such as model for end-stage liver disease-sodium. In practical terms, the ACE score could be integrated into routine clinical assessments to provide more accurate risk predictions, potentially improving the timing of interventions, optimizing transplant listing decisions, and ultimately enhancing patient outcomes. However, further validation in diverse populations and integration with other established predictors is necessary before widespread clinical implementation.

Systemic therapy represents the standard of care treatment for patients with advanced hepatocellular carcinoma (HCC). Given the increased risk of death from cirrhosis-related complications in patients with advanced liver dysfunction, pivotal phase III trials traditionally limited inclusion to patients with Child-Pugh class A, where death is more likely to be attributed to HCC progression. Therefore, Western guidelines recommend the use of systemic therapies primarily in patients with preserved liver function. However, patients with HCC and Child-Pugh class B are commonly encountered in clinical practice, but due to limited prospective evidence, there is no clear guidance on their optimal management.In this recent advances article, we discuss how the clinical course of cirrhosis can affect eligibility to treatment in the modern era of systemic therapy for HCC, elaborate on strategies to improve liver function in HCC patients by targeting cirrhosis-related and tumour-related factors and summarise the current literature on systemic therapy in HCC patients with Child-Pugh class B. Based on this information, we finally propose a clinical algorithm on how to systematically approach patients with HCC and advanced liver dysfunction in clinical practice.

Heart failure (HF) is a chronic progressive syndrome caused by a variety of cardiovascular diseases and is associated with high morbidity, mortality, and healthcare burden. Forecasting the prognosis of HF patients at an early stage is important. Therefore, our objective was to explore the relationship between HF patients' prognosis and the albumin-bilirubin (ALBI) grade.

Data for the study were obtained from the MIMIC database. Patients with ALBI grade 1 were matched to patients with ALBI grades 2 and 3 using propensity score matching (PSM). Post-matching analyses were performed using Cox proportional hazards models, Kaplan-Meier survival analysis, restricted cubic splines (RCS), and subgroup analyses.

RCS analyses revealed a nonlinear relationship between ALBI grade and 30-, 90-, and 360-day mortality in patients with HF, with a threshold value identified at -1.92. When ALBI scores were below - 1.92, the risk of mortality in HF patients remained relatively stable. In contrast, as ALBI scores approached and exceeded - 1.92, the mortality risk increased rapidly. Before PSM, both ALBI grades 2 and 3 were independent predictors of mortality in patients with HF; however, after PSM, ALBI grade 2 was not statistically associated with patient mortality. This result was supported by Kaplan-Meier (K-M) analysis.

Hepatitis B virus (HBV) infection is an important health concern worldwide. HBV infection can lead to acute hepatitis, cirrhosis, hepatocellular carcinoma, liver failure, and death. Nucleos(t)ide analogs (NAs) form the core of the HBV treatment. The safety and efficacy of NAs in long-term follow-up are still critical issues. We enrolled 225 consecutive patients with at least 12 months of longitudinal follow-up using tenofovir alafenamide (TAF), including 39 antiviral naïve and 186 antiviral experienced patients. In the treatment-experienced group, the main reasons for switching from other NAs to TAF were renal dysfunction and osteoporosis. Renal outcome, lipid profile, virological response, and ALT normalization under the TAF treatment were evaluated. Age > 60 years, liver transplant recipients, and patients with decompensated cirrhosis were evaluated separately, as well as the total cohort. Phosphorus levels increased especially in hypophosphatemic individuals, eGFR levels also increased slightly but statistically significantly, and the remarkable improvement in eGFR stages was observed in the eGFR < 60 mL/min/1.73 m2 group. A minimal increase in LDL-c levels occurred after TAF treatment, which did not reach statistical significance. Total cholesterol and HDL-c levels increased significantly, while triglyceride levels remained unchanged. In the total cohort, HBV-DNA was strongly suppressed in either treatment-naïve or experienced patients. ALT and AST levels decreased with the TAF treatment, but ALT normalization rate did not change significantly. No serious adverse events associated with TAF occurred, and discontinuation was not required in the total cohort. Our findings support that TAF treatment is well-tolerated and effective in patients with chronic HBV infection.

Higher immature granulocyte levels have a predictive role in several clinical conditions, although data concerning cirrhosis are scarce. Reduced muscle mass is a known factor affecting the outcome of these patients. The aim of the study was to evaluate the association of immature granulocytes with muscle mass and their role in predicting the outcome (survival, death or liver transplantation) in patients with stable decompensated cirrhosis.

We prospectively studied 210 patients with decompensated cirrhosis awaiting liver transplantation. Their clinical and laboratory characteristics were recorded, including complete blood count with immature granulocyte count and immature granulocyte percentage. The severity of liver disease was evaluated by estimating the Child-Turcotte-Pugh and MELD-sodium scores. Dual energy X-ray absorptiometry was used to quantify the total and regional lean mass, while mid-arm muscle circumference was used for the evaluation of upper limb muscle mass.

Immature granulocyte percentage was proved to be the only factor independently associated with transplant-free survival (Hazard Ratio: 1.98, 95% confidence interval [1.03-3.81], p = .04). Stratification of our cohort based on the best discriminative cut-off values of immature granulocyte count and percentage revealed significant differences in the outcome based on Kaplan-Meier curves, while immature granulocyte count and percentage were significantly associated with parameters of body composition.

Higher immature granulocyte count and percentage have a significant prognostic role and are associated with worse outcome in patients with stable decompensated cirrhosis.

To compare the performance of updated model for end-stage liver disease (MELD) systems with that of the original MELD score for predicting early mortality after transjugular intrahepatic portosystemic shunt (TIPS) creation.

In this single-center retrospective study, 6 MELD variations were quantified in 553 patients (n = 332; 60% male; mean age, 55 years) who underwent TIPS creation between 1998 and 2023. Scoring systems included original MELD, MELD-sodium (MELD-Na), MELD 3.0, MELD-lactate, MELD-glomerular filtration rate assessment in patients with liver disease-sodium (MELD-GRAIL-Na), and MELD-plus. Association of MELD schemes with 30-day, 6-week, and 90-day mortality was assessed using DeLong test, and the predictive capacity of MELD systems was evaluated by comparing area under receiver operating characteristic (AUROC) curves.

TIPS were created for ascites (n = 263, 47%), variceal hemorrhage (n = 247, 45%), or other indications (n = 43, 8%). All MELD systems statistically associated with mortality at each time point (P < .001). Based on 30-day, 6-week, and 90-day AUROC curves, none of the updated MELD systems showed superior predictive capacity for early mortality compared with original MELD-MELD: 0.847, 0.841, and 0.818; MELD-Na : 0.847, 0.846, and 0.829; MELD 3.0: 0.848, 0.850, and 0.842; MELD-lactate: 0.915, 0.881, and 0.866; MELD-GRAIL-Na: 0.851, 0.847, and 0.831; and MELD-Plus: 0.843-0.898, 0.853-0.910, and 0.814-0.829, respectively (P > .05). Findings were principally confirmed on subset analyses stratified by sex, TIPS indication, TIPS urgency, stent type, and TIPS date.

Updated MELD systems have prognostic value for early mortality after TIPS creation. However, in this study, these newer schemes did not offer additional predictive power beyond the original MELD, which still effectively estimates early post-TIPS survival.

The natural history of cirrhosis is characterized by an asymptomatic phase (compensated cirrhosis) followed by a rapidly progressive phase (decompensated cirrhosis). The ability to predict the survival of patients with cirrhosis is crucial for decision-making, some as complex as the indication for a liver transplant. Several models have been developed and validated.

To analyze and compare the performance of models in predicting 90-day mortality among patients hospitalized with decompensated cirrhosis.

A sample of 481 hospitalized patients, with a mean age of 59.04 years 73% male, diagnosed with decompensated cirrhosis and a mean Child-Pugh score of 9. The prognostic models were calculated based on tests performed on admission: MELD-Na, MELD-Plus, MELD 3.0, ReMELD, Refit MELD, and Refit MELD-Na. The accuracy of the models was assessed by calculating the area under the receiver operating characteristic (AUROC) curve, and their respective 95% confidence intervals. Comparisons between the areas were conducted using the DeLong test. A comparison was conducted among all scores, with a primary focus on MELD 3.0 and MELD-Plus. These specific scores were the focal points of interest.

The scores presented AUROC curve values of 0.703-0.758, indicating a moderate capacity to discriminate between survivors and deceased patients during the considered period. The comparison between the models did not unequivocally establish the superiority of one model over the other.

The scores have a limited predictive ability for death within 90 days in patients with decompensated cirrhosis. Our study is unable to establish the prognostic superiority of a specific scoring system.

• This retrospective, multicenter study evaluated the accuracy of six predictive models of death within 90 days in 461 patients hospitalized for decompensated cirrhosis.

• The scores presented an area under the receiver operating characteristic curve of 0.703-0.758, indicating a good ability to discriminate between survivors and deceased patients during the considered period.

• The comparison between the models did not unequivocally establish the superiority of one model over the other.

Liver transplantation is essential for many people with primary sclerosing cholangitis (PSC). People with PSC are less likely to receive a deceased donor liver transplant compared with other causes of chronic liver disease. This disparity may stem from the inaccuracy of the model for end-stage liver disease (MELD) in predicting waitlist mortality or dropout for PSC. The broad applicability of MELD across many causes comes at the expense of accuracy in prediction for certain causes that involve unique comorbidities. We aimed to develop a model that could more accurately predict dynamic changes in waitlist outcomes among patients with PSC while including complex clinical variables.

We developed 3 machine learning architectures using data from 4666 patients with PSC in the Scientific Registry of Transplant Recipients (SRTR) and tested our models on our institutional data set of 144 patients at the University Health Network (UHN). We evaluated their time-dependent concordance index (C-index) for mortality prediction and compared it against MELD-sodium and MELD 3.0.

Random survival forest (RSF), a decision tree-based survival model, outperformed MELD-sodium and MELD 3.0 in both the SRTR and the UHN test data set using the same bloodwork variables and readily available demographic data. It achieved a C-index of 0.868 (SD 0.020) and 0.771 (SD 0.085) on the SRTR and UHN test data, respectively. Training a separate RSF model using the UHN data with PSC-specific achieved a C-index of 0.91. In addition to high MELD score, increased white blood cells, time on the waiting list, platelet count, presence of Autoimmune hepatitis-PSC overlap, aspartate aminotransferase, female sex, age, history of stricture dilation, and extremes of body weight were the top-ranked features predictive of the outcomes.

Our RSF model offers more accurate waitlist outcome prediction in PSC. The significant performance improvement with the inclusion of PSC-specific variables highlights the importance of disease-specific variables for predicting trajectories of clinically distinct presentations.

Hepatic decompensation carries profound implications for patient quality of life and risk of mortality. We lack comparative data on how noninvasive tools perform in risk stratification for those with compensated cirrhosis. We performed a systematic review to assess the performance of laboratory and transient elastography-based models for predicting hepatic decompensation in patients with compensated cirrhosis.

The following databases were searched by an informationist to identify relevant studies, including adult patients with compensated cirrhosis from inception to August 2023: Medline, Embase, Scopus, Web of Science, and ClinicalTrials.gov. Title and abstract screening followed by full-text review were performed by 2 independent reviewers, and data abstraction was completed using standardized forms. Studies of patients with decompensation at baseline (defined by ascites, variceal bleeding, and HE) or any primary hepatic malignancy were excluded. The primary outcome was hepatic decompensation, as defined above. Pooled HRs were calculated using the common-effect inverse-variance model.

Forty-four full-text studies met the inclusion criteria. Across 52,589 patients, the cumulative incidence of any decompensation was 17.9% over a follow-up time of 111,401 patient years. Pooled risk estimates for all-cause decompensation demonstrated that MELD (HR: 1.08; 95% CI: 1.06-1.10), albumin-bilirubin (HR: 2.13, 95% CI: 1.92-2.36), fibrosis-4 (HR: 1.04, 95% CI: 1.03-1.06), albumin-bilirubin-fibrosis-4 (HR: 1.25, 95% CI: 1.18-1.33), and liver stiffness by transient elastography (HR: 1.04; 95% CI: 1.04-1.05) predict decompensation.

Available blood and imaging-based biomarkers can risk-stratify patients for hepatic decompensation. Changes in albumin-bilirubin appear to have the highest discrimination in predicting decompensation events.

Advanced heart failure (AHF) is characterized by recurrent episodes of haemodynamic instability and frequent hospitalizations, leading to a progressive decline in quality of life and high mortality rates. The objectives of this study were to evaluate the effect of the model for end-stage liver disease (MELD) score and its variations in predicting adverse outcomes [death, urgent heart transplant, and left ventricular assist device (LVAD) implant] among patients with AHF to assess the clinical associations of the MELD score in this population and to compare the efficacy of this tool with other prognostic scores in AHF.

In this longitudinal prospective study, 162 patients with advanced heart failure (AHF) were enrolled; all patients included in the study were receiving the maximum tolerated medical therapy according to guidelines. The MELD score was measured at baseline and every 6 months during follow-up. All patients underwent echocardiographic assessment and cardiopulmonary testing, which included the evaluation of maximal oxygen uptake (VO2max) and the minute ventilation/carbon dioxide production (VE/VCO2) slope. The mean age of the study group was 57.7 ± 11.6 years. There were 26 deaths, 5 urgent transplants, and 1 LVAD implantation during a follow-up period of 31.4 ± 15.6 months. The mean New York Heart Association (NYHA) class was 2.8 ± 0.5, ejection fraction (EF) was 26.3 ± 6.5%, the mean VO2max was 11.7 ± 3.5 mL/kg/min. Multiple regression analysis revealed a positive correlation between the MELD score and NT-proBNP (β = 0.215; P = 0.041) and furosemide dosage (β = 0.187; P = 0.040). Conversely, a negative correlation was observed between the MELD score and TAPSE (β = -0.204; P = 0.047). Multivariate Cox regression on combined outcome shows a HR of 1.094 (95% CI 1.003-1.196) for unit increase in MELD considered as a continuous variable. The predictive role is independent by the effect of covariates considered in the analysis such as age, sex, NYHA class, EF, TAPSE, PASP, VO2max, NT-proBNP, MELD score worsening, and NT-proBNP increase. Changes in MELD score percentage, considered as a dichotomous variable (≤100% and >100%), were found to be predictors of mortality, urgent heart transplant and LVAD implant. Receiver operating characteristic (ROC) curves showed an area under the curve (AUC) of 0.887 for MELD score and composite outcome of death, urgent transplant, and need for LVAD. The predictive performance of MELD was even superior compared with MELD-Na, MELD-XI, MAGGIC risk score, and MECKI.

The MELD score and its longitudinal changes are effective predictors of adverse outcomes in AHF.

Acute-on-chronic liver failure (ACLF) is a complicated syndrome associated with high short-term mortality and reversibility. Whether the prior decompensation should be included in the definition of ACLF is controversial.

A total of 532 patients with decompensation (prior or first) of chronic liver disease were retrospectively enrolled and analyzed from January 2018 to June 2023. Clinical data were used to identify the characteristics and determine prognosis.

Of the 532 patients, 99 patients did not meet APASL-ACLF criteria due to the existence of prior decompensation and 433 patients met the Asian Pacific Association for the Study of the Liver (APASL)-ACLF criteria. The two groups had similar characteristics including prognosis scores (Chinese Group on the Study of Severe Hepatitis B (COSSH)-ACLF II score: 7.59 vs. 7.67, p = 0.934; Chronic Liver Failure (CLIF) Consortium ACLF score: 42.90 vs. 44.81, p = 0.273), the distribution of patients with APASL ACLF research consortium score (AARC score) (5-7: 19.2%/12.0%; 8-10: 56.6%/55.0%; 11-15: 24.2%/33.0%, p > 0.05) and the 28-/90-day mortality rates (30.5%/43.2% vs. 36.3%/43.1%, p = 0.267/0.978). In all integrated ACLF patients, Receiver Operating Characteristic (ROC) curve analysis and decision curve analysis (DCA) showed that COSSH-ACLF IIs had higher prognostic efficiency and clinical net benefit than AARC score and CLIF-C ACLFs for 28-/90-day mortality.

Prior decompensated patients exhibited clinical characteristics and high short-term mortality similar to those of first decompensated patients. The COSSH-ACLF IIs demonstrated the highest prognostic efficiency for all integrated ACLF patients. Including prior decompensation in the ACLF definition can help to simplify and improve clinical management.

To demonstrate the differences between concordance index (C-index) methodologies and clarify the appropriate usage for risk score evaluations in health services applications.

We performed a methodological comparison of C-index metrics and illustrated the consequences of these differences through a study of liver failure patients.

We analyzed secondary adult liver transplant registry data from the Organ Procurement and Transplantation Network (OPTN), including all waitlist registrations from 2002 to 2022.

The recommended concordance metric based on Gerds' weighting was higher for the original model for end-stage liver disease (MELD) than Harrell's C-Index, Uno's C-Index, and naïve binary outcome metrics (0.864 [95% confidence interval (CI): 0.840, 0.888] versus 0.854 [95% CI: 0.844, 0.864], 0.832 [95% CI: 0.819, 0.844], and 0.727 [95% CI: 0.715, 0.740]), and it did not increase after the latest MELD formula update (0.874 [95% CI: 0.859, 0.889] to 0.869 [95% CI: 0.853, 0.885]).

The concordance indices that are often used in health services applications have important deficiencies under policy-related dependent censoring, and researchers must apply appropriate weighting schemes to avoid bias. The findings uncover new interpretations of past evaluation results that have shaped national liver transplant policies.

Background and Objectives: The Model for End-Stage Liver Disease (MELD) score has widely been used for mortality prediction in liver cirrhosis (LC) patients and transplantation allocation. There have been recent modifications of MELD scores, such as MELD-Lactate (MELD-La) and MELD-3.0. The goal of this study was to compare MELD, MELD-La, and MELD-3.0 in predicting mortality among LC patients in Korea. Materials and Methods: This is a retrospective, single-centered study in which LC patients admitted to Konkuk University Hospital between January 2011 and December 2022 were enrolled and reviewed. Predictive values for 1- and 3-month mortality for MELD, MELD-La, and MELD-3.0 were calculated using the area under the receiver operating characteristic (AUROC) curve. Differences between AUROCs were statistically analyzed using DeLong's test. Results: A total of 1152 patients were initially included in this study. Among them, 165 (14.3%) patients died within one month, and 211 (19.7%) died within three months. The AUROCs for 1-month mortality of MELD, MELD-La, and MELD-3.0 were 0.808, 0.79, and 0.807, respectively. For the 3-month mortality of MELD, MELD-La, and MELD-3.0, the AUROCs were 0.805, 0.753, and 0.817, respectively. Multiple comparisons of ROC curves demonstrated that MELD and MELD-3.0 reflected the 3-month mortality prediction of LC patients better than MELD-La (p = 0.0018, p = 0.0003, respectively). Conclusions: This study demonstrated that MELD and MELD-3.0 outperformed MELD-La in predicting the 3-month mortality for LC patients. However, there was no significant difference between MELD and MELD-3.0 in predicting LC patient mortality.

Introduction: Postreperfusion syndrome (PRS) is associated with complications following liver transplantation (LT). Mannitol may play a role in attenuating PRS as a free radical scavenger. This study aimed to evaluate the association between intraoperative mannitol administration and the incidence of PRS and postoperative acute kidney injury (AKI) in LT. Methods: A retrospective analysis of adult liver-only transplantation between August 2019 and January 2023 at the Mount Sinai Hospital was performed. Patients in the mannitol group received 25G of the drug intravenously prior to reperfusion. Any recipients with pre-existing renal diagnoses were excluded. Demographic, laboratory, intraoperative, and hospital course data were extracted from an institutional data warehouse. Multivariable logistic regressions were used to evaluate the association between mannitol administration and PRS, AKI, early allograft dysfunction, and postoperative cardiac complications. Negative binomial regression was used to evaluate the association with postoperative length of stay (LOS) and ICU LOS. Results: 495 LT cases were included. A total of 81 patients received mannitol before graft reperfusion, while 414 patients did not. The incidence of PRS in patients who received mannitol was 13% and 17% for those who did not receive mannitol (p = 0.53). Additionally, 79% of patients who received mannitol experienced AKI at 7 days, compared to 73% in those who did not receive mannitol (p = 0.48). In the multivariable regression models, mannitol administration was not associated with decreased incidence of PRS or postoperative AKI. It was, however, associated with increased postoperative cardiac complications (risk-adjusted odds ratio 2.70, 95% confidence interval 1.15-6.14, p = 0.02). Conclusions: Mannitol administration during LT was not an effective therapy for reducing PRS or postoperative AKI.

Patients with hepatitis D virus (HDV)/hepatitis B virus (HBV)-related end-stage liver disease candidates for liver transplantation (LT) have traditionally been regarded as a special population, although their outcomes are controversial. An intention-to-treat (ITT) analysis of long-term outcomes of HDV/HBV-coinfected patients waitlisted for LT in Italy, between 2011 and 2020, was performed and compared with HBV-monoinfected LT candidates. Of 1731 HBV-infected LT candidates, 1237 (71.5%) had HBV monoinfection and 494 (28.5%) HDV/HBV coinfection. At listing, HDV/HBV-coinfected patients were significantly younger, listed mainly for decompensated cirrhosis, and with fewer hepatocellular carcinoma (HCC) cases; (26% vs 65.8%; P <.0001) compared with HBV-monoinfected patients. HDV/HBV-coinfected patients showed better 5-year ITT survival (83.2%; 95% CI: 79.4%-83.4%, vs 71.6%; 95% CI: 68.8%-74.2%; P < .0001). ITT-multivariable analysis identified the presence of HCC, advanced recipient age, and high model for end-stage liver disease-Na scores as mortality risk factors. Five years after LT, 99.1% of HDV/HBV-coinfected patients received oral nucleos(t)ide analogs, with immunoglobulins against antigen of the hepatitis B virus in 91.8% of cases. HBV and HDV viral recurrences were 1.1% and 0.2%, respectively, whereas recurrent or de novo HCC were 8.9% and 0.3%, respectively. In Italy, HDV/HBV-coinfected patients waitlisted for LT showed more favorable outcomes compared with HBV-monoinfected patients, both before and after LT. These excellent results, from the largest cohort reported so far, suggest that HDV/HBV-coinfected LT recipients do not represent a risky population and may be considered for simpler long-term antiviral prophylactic strategies.

A consensus has not yet been reached regarding the optimal timing for the combination of transjugular intrahepatic portosystemic shunt (TIPS) and partial splenic embolization (PSE) in patients with cirrhosis-related variceal bleeding and hypersplenism. This study aimed to compare the clinical outcomes of patients who underwent either an early or late combination of TIPS and PSE.

A total of 84 consecutive patients with cirrhosis-related variceal bleeding and hypersplenism who underwent TIPS and PSE between September 2016 and April 2023 were included in this retrospective multicenter study. These patients were subsequently divided into early combination (n = 36) and late combination (n = 48) groups based on the timing of the combination therapy.

Kaplan-Meier curves revealed a significant increase in cumulative survival in the late combination group, compared with that in the early combination group (log-rank P = 0.018). Additionally, the late combination group exhibited a lower cumulative incidence of overt hepatic encephalopathy (OHE), compared with the early combination group (log-rank P = 0.002). In Cox regression models, noninfarcted splenic volume (hazard ratio [HR] = 0.995, 95% confidence interval [CI] = 0.991-0.999, P = 0.044) and grouping (HR = 0.101, 95% CI = 0.011-0.921, P = 0.034) were identified as independent risk factors for mortality. Furthermore, the independent risk factors for OHE were serum albumin (ALB) level (P = 0.032) and grouping (P = 0.028).

The early combination of TIPS and PSE was associated with higher risks of death and OHE than the late combination.

This narrative review addresses the definition of acute-on-chronic liver failure, a condition associated with high short-term mortality in patients with chronic liver disease and/or cirrhosis. We provide two major points of view: the East and the West perspective. Both definitions vary regarding the underlying patient population and organ failure(s) definition. Nevertheless, all the definitions have their clinical utility: from the core concept of having the "liver" as a conditio sine qua non, the syndrome cannot exist (Asian Pacific Association for the Study of the Liver); a data-driven, robust definition (European Association for the Study of the Liver); a bedside tool that can quickly identify patients at high risk of dying (North American Consortium for the Study of End-stage Liver Disease [NACSELD]). In each section, we provide the overall definitions, the criteria of organ failure(s), and some epidemiological data illustrating how these apply in each area of the world.

Noninvasive tests (NITs) are used in all aspects of liver disease management. Their most prominent break-through since the millennium has been in advancing early detection of liver fibrosis, but their use is not limited to this. In contrast to the symptom-driven assessment of decompensation in patients with cirrhosis, NITs provide not only opportunities for earlier diagnoses but also accurate prognostication, targeted treatment decisions, and a means of monitoring disease. NITs can inform disease management and decision-making based on validated cutoffs and standardized interpretations as a valuable supplement to clinical acumen. The Baveno VI and VII consensus meetings resulted in tangible improvements to pathways of care for patients with compensated and decompensated advanced chronic liver disease, including the combination of platelet count and transient elastography to diagnose clinically significant portal hypertension. Furthermore, circulating NITs will play increasingly important roles in assessing the response to interventions against ascites, variceal bleeding, HE, acute kidney injury, and infections. However, due to NITs' wide availability, there is a risk of inaccurate use, leading to a waste of resources and flawed decisions. In this review, we describe the uses and pitfalls of NITs for hepatic decompensation, from risk stratification in primary care to treatment decisions in outpatient clinics, as well as for the in-hospital management of patients with acute-on-chronic liver failure. We summarize which NITs to use when, for what indications, and how to maximize the potential of NITs for improved patient management.

Donation after circulatory death liver transplantation (DCD LT) is underused given historical outcomes fraught with ischemic cholangiopathy (IC). We aimed to assess 6-mo IC in LT from DCD via normothermic regional perfusion (NRP) compared with DCD via static cold storage (SCS).

A retrospective review of adult Maastricht-III DCD liver donors and recipients at the University of Colorado Hospital from January 1, 2017, to August 27, 2024, was performed. The 6-mo IC rate was compared between NRP and SCS. Secondary outcomes included biochemical assessments of accepted versus declined NRP liver allografts and allograft and patient survival for NRP and SCS groups.

One hundred sixty-two DCD LTs (SCS = 79; NRP = 97) were performed and 150 recipients (SCS = 74; NRP = 86) reached 6-mo follow-up. Six-month IC was lower for NRP compared with SCS (1.2% versus 9.5%, P = 0.03). The Donor Risk Index (2.44 [2.02-2.82] versus 2.17 [1.97-2.30], P = 0.002) and UK DCD Risk Score (4.2 ± 2.9 versus 3.2 ± 2.3, P = 0.008) were higher for NRP versus SCS. The Liver Graft assessment Following Transplantation score was less for NRP compared with SCS (-3.3 versus -3.1, P < 0.05). There were several differences in median biochemical parameters during NRP between accepted and declined livers, including higher terminal biliary bicarbonate (22.7 [20.9-29.1] versus 10.8 [7.6-13.1] mEq/L, P = 0.004). There were no significant differences in 12-mo allograft or patient survival for NRP versus SCS.

NRP is a disruptive innovation that improves the utilization of DCD livers. Despite higher-risk donor-recipient pairing for NRP compared with SCS, we demonstrate a decrease in IC for NRP. These data facilitate benchmarking of thoracoabdominal NRP DCD LT and support further protocol development.

Renal function varies among liver transplantation (LT) candidates with the same Model for End-Stage Liver Disease (MELD)3.0 score. The impact of marginal grafts on post-LT renal function and prognosis varies based on the pre-LT renal function. We explored the effects of matching recipients with low renal function to marginal donors on graft survival (GS) and post-LT kidney function.

We analyzed data from the Scientific Registry of Transplant Recipients (SRTR), categorizing pre-LT renal function by estimated glomerular filtration rate (eGFR) into low (<30 mL/min/1.73 m2) and high (≥30 mL/min/1.73 m2). Marginal donors were defined by criteria including donation after cardiac death, age ≥ 65, severe macrosteatosis (≥30%), or body mass index ≥ 40 kg/m2. The primary outcome was to compare 3-year post-LT GS between patients with low and high pre-LT renal function. Additionally, we examined post-LT eGFR 1-3 months post-LT.

Of 13 279 LT recipients, 12 851 had high pre-LT eGFR and 428 had low pre-LT eGFR. Kaplan-Meier survival analysis showed that recipients with low pre-LT eGFR had significantly lower 3-year GS compared to those with high eGFR (p < 0.01). Recipients of organs from marginal donors also exhibited a significant reduction in 3-year GS (p < 0.01). This adverse effect persisted within the same MELD3.0 category. Additionally, lower pre-LT eGFR was associated with an increased risk of post-LT kidney function deterioration, especially among those receiving grafts from marginal donors. Multivariable logistic regression identified recipient age > 65 as a significant risk factor for post-LT kidney function decline (OR 3.34 [1.05-10.7]; p = 0.03).

GS was notably worse in recipients with low pre-LT eGFR, particularly when matched with marginal donors. A recipient age > 65 is a risk indicator for post-LT kidney function deterioration with marginal donors, underscoring the importance of careful donor-recipient matching, especially with compromised pre-LT kidney function.

Post-paracentesis circulatory dysfunction (PPCD) is a well-known complication in patients with decompensated cirrhosis undergoing large-volume paracentesis (>5 L ascites removal). PPCD can cause acute kidney injury (AKI) and hyponatremia. Given the generally smaller body size observed in patients of Asian descent, we hypothesized that the removal of <5 L of ascitic fluid (modest-volume paracentesis; MVP) might also contribute to the development of PPCD. We investigated whether MVP could lead to AKI/hyponatremia in Thai patients with cirrhosis and identified the factor(s) associated with these outcomes. This was a retrospective, single-center study that included all consecutive patients with cirrhosis who underwent MVP at our unit between 2020 and 2021. Baseline characteristics and laboratory results obtained within 3 days prior to and 7 to 28 days following paracentesis were collected. The occurrence of AKI or hyponatremia was recorded, and the characteristics and laboratory findings of patients who developed these complications were compared with those who did not. During the study period, 73 MVPs were performed in 39 patients. Eight patients (20.5%) developed AKI/hyponatremia within 7 to 28 days of the procedure. Baseline serum sodium level was significantly lower in patients who developed AKI/hyponatremia compared to those who did not (131.0 ± 5.9 vs 135.6 ± 3.0 mEq/L, P = .004). A serum sodium cutoff value of 132 mEq/L showed a specificity and sensitivity of 0.9 and 0.63, respectively, for predicting the development of AKI/hyponatremia, with an area under the curve of 0.81. These findings highlight that PPCD resulted in AKI/hyponatremia, which was previously not anticipated, can indeed occur after paracentesis of <5 L in Thai cirrhotic patients. These results may have significant implications for clinical decision-making regarding the administration of albumin replacement therapy in Asian patients with cirrhosis who are to undergo paracentesis in future clinical practice.

There are likely over 42 million patients with hypertension taking thiazides in the United States and many more worldwide. Hyponatremia is a common complication of thiazide therapy. It is not currently known if thiazide-associated hyponatremia is also associated with increased mortality. The objective of this study was to determine if outpatients who start thiazide diuretic treatment and develop early hyponatremia are at increased risk of mortality when compared with those who do not develop hyponatremia after starting a thiazide.

A retrospective cohort study.

This study used data from the TriNetX federated health research network comprising deidentified electronic medical records of ∼93 million patients from 76 health care organizations located primarily in the United States. The study population was adult patients 40-90 years old, with essential hypertension and who started on a thiazide diuretic between January 1, 2010, and December 31, 2021. The patients were then subdivided into a hyponatremia cohort and a control cohort. 22,057 patients met the inclusion criteria for the hyponatremia cohort, and 234,466 patients met the inclusion criteria for the control cohort. After propensity score matching, 22,052 remained in both cohorts. The primary outcome is one-year mortality.

The hyponatremia cohort developed early hyponatremia defined as a serum sodium ≤ 135 mmol/L within 6 months after initiation of thiazide versus a control that had a serum sodium 136-144 mmol/L after initiation of thiazide.

Primary outcome is mortality. Secondary outcomes include development of sepsis, pneumonia, urinary tract infection, cellulitis, myocardial infarction, stroke, congestive heart failure, ataxia, fall, and hip fracture.

The design is a retrospective cohort study, propensity score matched.

Patients in the hyponatremia cohort had a higher hazard of mortality than patients in control, HR 1.96 (95% CI, 1.72-2.28; P < 0.001). In addition, patients in the hyponatremia cohort had higher hazard of developing sepsis, pneumonia, urinary tract infection, cellulitis, myocardial infarction, stroke, congestive heart failure, ataxia, and hip fracture.

The study had a retrospective design.

Patients who develop early hyponatremia (serum sodium ≤ 135 mmol/L) following initiation of a thiazide diuretic have a higher risk of mortality when compared with those who do not develop hyponatremia after initiation of a thiazide diuretic.

Alcohol use is prevalent among hepatology clinic patients with chronic liver disease (CLD). We explored factors associated with the importance and confidence dimensions of motivation to reduce drinking.

Participants (N = 121) with unhealthy alcohol use (i.e., over NIH guidelines) receiving care in hepatology clinics from a safety-net hospital (SN, N = 54) and two Veterans Affairs Healthcare Systems (VA, N = 67) were enrolled in an alcohol intervention trial from March 2022 through October 2023. Baseline assessments included Generalised Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-8), Alcohol Use Disorders Identification Test (AUDIT), COVID-19 stress; and measures of importance and confidence to decrease alcohol use (readiness rulers, scales of 1-10). Liver disease aetiology and severity were extracted from electronic health records. We performed multivariable linear regression models with forward selection to assess pre-specified variables' associations with importance and confidence.

The sample was 84% male, 40% Latino, 31% White, 18% Black and 11% other races; median age was 61 years. Median (Q1-Q3) AUDIT score was 16 (12-24), importance was 9 (6-10) and confidence was 8 (5-9). On multivariable analysis, VA site (vs. SN) participants had a 0.97-point lower importance score (p = 0.02); higher symptoms of depression (PHQ-8 score ≥ 10 vs. < 10) and AUDIT scores (for each point increase) were associated with higher importance score (estimates 1.2 and 0.08, p < 0.05, respectively). Liver disease aetiology and severity were not significantly associated with outcomes.

Depression, alcohol problem severity and treatment site may influence motivation to reduce alcohol use and could inform future hepatology-based interventions.

Management of cirrhosis sequelae is critical in providing the most options for patients with hepatocellular carcinoma (HCC). Compensated liver disease is the ideal state for HCC patients who may require resection, locoregional therapies, or liver transplantation. Portal hypertension complications, suboptimal nutrition, and frailty are common barriers to various HCC treatments. For patients with advanced HCC, systemic therapies are altering the approach to multifocal, unresectable HCC, but similar barriers exist related to managing cirrhosis complications. Frequently, managing the underlying liver disease etiology is a key component to enabling HCC treatment.

Apelin, a (neuro) vasoactive peptide, plays a prominent role in controlling water balance and cardiovascular functions. Apelin and its receptor co-localize with vasopressin in magnocellular vasopressinergic neurons. Apelin receptors (Apelin-Rs) are also expressed in the collecting ducts of the kidney, where vasopressin type 2 receptors are also present. Apelin and vasopressin interact at the brain and renal levels to maintain body fluid homeostasis by regulating diuresis in opposite directions. Apelin and angiotensin II have opposite effects on the regulation of blood pressure (BP). Angiotensin II, by binding to AT1 receptors present in VSMCs, induces intracellular calcium mobilization and vasoconstriction, while apelin, by binding to Apelin-R present on vascular endothelium, increases nitric oxide production and induces vasodilation. Apelin also plays a crucial role in the regulation of cardiac function. Apelin-deficient and Apelin-R-deficient mice develop progressive myocardial dysfunction with ageing and are susceptible to heart failure in response to pressure overload. Since the half-life of apelin is very short in vivo (in the minute range), several metabolically stable apelin analogs and non-peptidic Apelin-R agonists have been developed, with potential applications in diverse diseases. In this review, we highlight the interaction between apelin and vasopressin in the regulation of water balance and that between apelin and angiotensin II in the regulation of BP. Additionally, we underline the protective effects of apelin in cardiac function. Lastly, we discuss the beneficial effects of Apelin-R activation in different pathological states such as hyponatremia, hypertension, and heart failure.

We aimed to develop and validate an artificial intelligence score (gender-equity model for liver allocation using artificial intelligence [GEMA-AI]) to predict liver transplantation (LT) waiting list outcomes using the same input variables contained in existing models.

This was a cohort study including adult LT candidates enlisted in the United Kingdom (2010-2020) for model training and internal validation and in Australia (1998-2020) for external validation. GEMA-AI combined international normalized ratio, bilirubin, sodium, and the Royal Free Hospital glomerular filtration rate in an explainable artificial neural network. GEMA-AI was compared with gender-equity model for liver allocation corrected by serum sodium (GEMA-Na), Model for End-Stage Liver Disease 3.0, and Model for End-Stage Liver Disease corrected by serum sodium for waiting list prioritization.

The study included 9320 patients: 5762 in the training cohort, 1920 in the internal validation cohort, and 1638 in the external validation cohort. The prevalence of 90-day mortality or delisting for sickness ranged from 5.3% to 6% across different cohorts. GEMA-AI showed better discrimination than GEMA-Na, Model for End-Stage Liver Disease corrected by serum sodium, and Model for End-Stage Liver Disease 3.0 in the internal and external validation cohorts, with a more pronounced benefit in women and in patients showing at least 1 extreme analytical value. Accounting for identical input variables, the transition from a linear to a nonlinear score (from GEMA-Na to GEMA-AI) resulted in a differential prioritization of 6.4% of patients within the first 90 days and would potentially save 1 in 59 deaths overall, and 1 in 13 deaths among women. Results did not substantially change when ascites was not included in the models.

The use of explainable machine learning models may be preferred over conventional regression-based models for waiting list prioritization in LT. GEMA-AI made more accurate predictions of waiting list outcomes, particularly for the sickest patients.

Acute-on-chronic liver failure (ACLF) is a syndrome of patients with chronic liver disease presenting with multiple organ failures. Recently, Sundaram-ACLF-LT Mortality (SALT-M) score has been developed to predict 1-year post-liver transplantation mortality. We validated the SALT-M score in a large-volume, Asian single-centre cohort.

We validated the SALT-M score in a large-volume, Asian single-centre cohort.

We analysed 224 patients of ACLF grade 2-3. Area under the receiver operating characteristic curve (AUROC) and concordance index (c-index) were used to assess and compare the predictability of posttransplant mortality of SALT-M and other scores. Moreover, we compared the survivals of patients with high and low SALT-M, in conjunction with MELD score and ACLF grade.

The AUROC for prediction of 1-year post-LT survival was higher in SALT-M (0.691) than in MELD, MELD-Na, MELD 3.0 and delta-MELD. Similarly, the c-index of the SALT-M (0.650) was higher than aforementioned MELD systems. When categorised by the cut-off of SALT-M ≥ 20 and MELD ≥ 30, patients with high SALT-M exhibited lower post-LT survival than those with low SALT-M scores regardless of high or low MELD (40.0% for high SALT-M/high MELD vs. 42.9% for high SALT-M/low MELD vs. 73.8% for low SALT-M/high MELD vs. 63.7% for low SALT-M/low MELD, p < 0.001). In patients with ACLF grade 3, SALT-M effectively stratified the posttransplant mortality (39.4% for high SALT-M vs. 63.1% for low SALT-M, p = 0.018).

SALT-M outperformed previous MELD systems for predicting posttransplant mortality in Asian LT cohort with severe ACLF. Transplantability for patients with severe ACLF could be determined based on SALT-M.

The syndrome of inappropriate antidiuretic hormone secretion (SIADH) is a complex and often underdiagnosed disorder characterized by impaired water homeostasis, leading to hyponatremia and associated complications. This comprehensive review explores the intersection of SIADH with chronic respiratory diseases, including chronic obstructive pulmonary disease (COPD), pulmonary tuberculosis, cystic fibrosis, and interstitial lung disease. The review looks at current evidence on pathophysiology, diagnostic challenges, and treatment approaches, highlighting the need for specialized management strategies to improve patient outcomes. Through an analysis of clinical and observational studies, this review highlights the significant impact of SIADH on morbidity and mortality among patients with respiratory diseases. It illustrates the necessity for further research to refine diagnostic and therapeutic modalities.

The current allocation system for liver transplantation (LT) is based on the sickest-first policy, using objective variables to ensure equal priority. However, under-prioritization of female patients for LT, compared to males, is well demonstrated and new scores have been proposed to overcome this systematic bias. This study evaluated the ability of these new scores to predict the long-term outcomes of patients with cirrhosis.

The clinical and laboratory characteristics of 694 consecutive candidates for liver transplantation from 2 liver transplant centers were recorded. The model for end-stage liver disease (MELD)-based scores (MELD, MELD-Sodium and MELD 3.0), as well as the Gender-Equity Model for liver Allocation (GEMA) and GEMA-Sodium, were used to assess the severity of liver disease. Patients were followed-up prospectively and their outcomes assessed.

During a follow-up period of median length 12 months (range: 4-52), 28.5% of patients died, 21% of patients underwent LT, while 50.5% remained alive. Female patients had significantly lower MELD and MELD-Sodium scores compared to males, attributable to their significantly lower creatinine, while MELD 3.0, GEMA and GEMA-Sodium did not differ between the 2 sexes. In multivariate Cox regression analysis, GEMA-Sodium was the only factor independently associated with death/LT, and showed very good discriminative ability (hazard ratio 1.10, 95% confidence interval 1.073-1.128; P<0.001). These findings were confirmed in several subgroup analyses.

Our findings show for the first time the predictive ability of GEMA-Sodium for the long-term outcomes of LT candidates. However, further studies are needed to confirm these findings.

Alcohol use disorder (AUD) treatment can help improve clinical outcomes among patients with alcohol-associated cirrhosis but is underutilized. Among socioeconomically disadvantaged patients with alcohol-associated cirrhosis, we examined rates of lifetime and past 12-month AUD treatment utilization and associated demographic and clinical characteristics.

Racial/ethnically diverse patients with alcohol-associated cirrhosis who had at least one hepatology clinic visit in the prior 6 months were recruited from three Northern California medical centers serving veterans and safety-net populations. Participants self-reported their AUD treatment utilization, liver disease quality of life (LDQoL), history and current symptoms of anxiety and depression, and problematic drinking as measured by the Alcohol Use Disorders Identification Test (AUDIT). Clinical measures including liver disease severity were captured from medical records.

Among 196 participants, the majority were male (88%) with a mean age of 62 years. Two-thirds of participants (67%) reported ever utilizing AUD treatment and 32% reported utilizing AUD treatment in the past 12 months. Compared with those who did not utilize AUD treatment, participants who utilized lifetime or past 12-month AUD treatment were younger, had lower LDQoL scores, and had higher scores on current symptoms of anxiety, depression, and problematic drinking. In multivariable analyses, the odds of ever utilizing pharmacological treatment alone or both behavioral and pharmacological treatment (vs. none) were lower with older age or higher LDQoL, and higher among those with a history of anxiety/depressive disorder. For past 12-month treatment utilization, odds were lower with older age, and higher among those with current clinically significant anxiety/depression or problematic drinking.

Patients with alcohol-associated cirrhosis who were younger or had anxiety/depression and problematic drinking were more likely to utilize AUD treatment. To improve AUD treatment utilization, targeted outreach to patients less likely to receive care and the provision of integrated ALD and AUD treatment is warranted.