Liver transplantation for Alcohol-associated liver disease.

Alcohol-associated liver disease (ALD) is a major cause of morbidity and mortality worldwide, and a leading indication for liver transplantation (LT) in many countries, including the US. However, LT for ALD is a complex and evolving field with ethical, social, and medical challenges. Thus, it requires a multidisciplinary approach and individualized decision-making. Short and long-term patient and graft survival of patients undergoing LT for ALD are comparable to other indications, but there is continued need to develop better tools to identify patients who may benefit from LT, improving the pre- and post-transplant management of ALD, and evaluating the impact of LT for ALD on the organ donation and transplantation system. In this review, we summarize the current evidence on LT for ALD, from alcohol-associated hepatitis (AAH) to decompensated alcohol-associated cirrhosis. We discuss the indications, criteria, outcomes, and controversies of LT for these conditions, and highlight the knowledge gaps and research priorities in this field.

Quality measures in pre-liver transplant care by the Practice Metrics Committee of the American Association for the Study of Liver Diseases.

The liver transplantation (LT) evaluation and waitlisting process is subject to variations in care that can impede quality. The American Association for the Study of Liver Diseases (AASLD) Practice Metrics Committee (PMC) developed quality measures and patient-reported experience measures along the continuum of pre-LT care to reduce care variation and guide patient-centered care. Following a systematic literature review, candidate pre-LT measures were grouped into 4 phases of care: referral, evaluation and waitlisting, waitlist management, and organ acceptance. A modified Delphi panel with content expertise in hepatology, transplant surgery, psychiatry, transplant infectious disease, palliative care, and social work selected the final set. Candidate patient-reported experience measures spanned domains of cognitive health, emotional health, social well-being, and understanding the LT process. Of the 71 candidate measures, 41 were selected: 9 for referral; 20 for evaluation and waitlisting; 7 for waitlist management; and 5 for organ acceptance. A total of 14 were related to structure, 17 were process measures, and 10 were outcome measures that focused on elements not typically measured in routine care. Among the patient-reported experience measures, candidates of LT rated items from understanding the LT process domain as the most important. The proposed pre-LT measures provide a framework for quality improvement and care standardization among candidates of LT. Select measures apply to various stakeholders such as referring practitioners in the community and LT centers. Clinically meaningful measures that are distinct from those used for regulatory transplant reporting may facilitate local quality improvement initiatives to improve access and quality of care.

An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study.

BACKGROUND AND AIMS: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model. APPROACH AND RESULTS: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled patients with AH per National Institute for Alcohol Abuse and Alcoholism criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients). Focusing on 30 and 90-day postadmission mortality, 3 artificial intelligence algorithms (Random Forest, Gradient Boosting Machines, and eXtreme Gradient Boosting) informed an ensemble model, subsequently refined through Bayesian updating, integrating the derivation cohort's average 90-day mortality with each center's approximate mortality rate to produce posttest probabilities. The ALCoholic Hepatitis Artificial INtelligence Ensemble score integrated age, gender, cirrhosis, and 9 laboratory values, with center-specific mortality rates. Mortality was 18.7% (30 d) and 27.9% (90 d) in the derivation cohort versus 21.7% and 32.5% in the validation cohort. Validation cohort 30 and 90-day AUCs were 0.811 (0.779-0.844) and 0.799 (0.769-0.830), significantly surpassing legacy models like Maddrey's Discriminant Function, Model for End-Stage Liver Disease variations, age-serum bilirubin-international normalized ratio-serum Creatinine score, Glasgow, and modified Glasgow Scores ( p < 0.001). ALCoholic Hepatitis Artificial INtelligence Ensemble score also showcased superior calibration against MELD and its variants. Steroid use improved 30-day survival for those with an ALCoholic Hepatitis Artificial INtelligence Ensemble score > 0.20 in both derivation and validation cohorts. CONCLUSIONS: Harnessing artificial intelligence within a global consortium, we pioneered a scoring system excelling over traditional models for 30 and 90-day AH mortality predictions. Beneficial for clinical trials, steroid therapy, and transplant indications, it's accessible at: https://aihepatology.shinyapps.io/ALCHAIN/ .

Terlipressin plus Albumin for the Treatment of Type 1 Hepatorenal Syndrome.

BACKGROUND: The vasoconstrictor terlipressin is used for type 1 hepatorenal syndrome (HRS-1) in many parts of the world and is part of the clinical practice guidelines in Europe. METHODS: We conducted a phase 3 trial to confirm the efficacy and safety of terlipressin plus albumin in adults with HRS-1. The patients were randomly assigned in a 2:1 ratio to receive terlipressin or placebo for up to 14 days; in both groups, concomitant use of albumin was strongly recommended. The primary end point was verified reversal of HRS, defined as two consecutive serum creatinine measurements of 1.5 mg per deciliter or less at least 2 hours apart and survival without renal-replacement therapy for at least 10 days after the completion of treatment. Four prespecified secondary end points were analyzed with the Hochberg procedure to account for multiple comparisons. RESULTS: A total of 300 patients underwent randomization - 199 were assigned to the terlipressin group and 101 to the placebo group. Verified reversal of HRS was reported in 63 patients (32%) in the terlipressin group and 17 patients (17%) in the placebo group (P = 0.006). With respect to the prespecified secondary end points, HRS reversal, defined as any serum creatinine level of 1.5 mg per deciliter or less during the first 14 days, was reported in 78 patients (39%) in the terlipressin group and 18 (18%) in the placebo group (P<0.001); HRS reversal without renal-replacement therapy by day 30, in 68 (34%) and 17 (17%), respectively (P = 0.001); HRS reversal among patients with systemic inflammatory response syndrome (84 patients in the terlipressin group and 48 patients in the placebo group), in 31 (37%) and 3 (6%), respectively (P<0.001); and verified reversal of HRS without recurrence by day 30, in 52 (26%) and 17 (17%), respectively (P = 0.08). At day 90, liver transplantations had been performed in 46 patients (23%) in the terlipressin group and 29 patients (29%) in the placebo group, and death occurred in 101 (51%) and 45 (45%), respectively. More adverse events, including abdominal pain, nausea, diarrhea, and respiratory failure, occurred with terlipressin than with placebo. Death within 90 days due to respiratory disorders occurred in 22 patients (11%) in the terlipressin group and 2 patients (2%) in the placebo group. CONCLUSIONS: In this trial involving adults with cirrhosis and HRS-1, terlipressin was more effective than placebo in improving renal function but was associated with serious adverse events, including respiratory failure. (Funded by Mallinckrodt Pharmaceuticals; CONFIRM ClinicalTrials.gov number, NCT02770716.).

Procedural-Related Bleeding in Hospitalized Patients With Liver Disease (PROC-BLeeD): An International, Prospective, Multicenter Observational Study.

BACKGROUND & AIMS: Hospitalized patients with cirrhosis frequently undergo multiple procedures. The risk of procedural-related bleeding remains unclear, and management is not standardized. We conducted an international, prospective, multicenter study of hospitalized patients with cirrhosis undergoing nonsurgical procedures to establish the incidence of procedural-related bleeding and to identify bleeding risk factors. METHODS: Hospitalized patients were prospectively enrolled and monitored until surgery, transplantation, death, or 28 days from admission. The study enrolled 1187 patients undergoing 3006 nonsurgical procedures from 20 centers. RESULTS: A total of 93 procedural-related bleeding events were identified. Bleeding was reported in 6.9% of patient admissions and in 3.0% of the procedures. Major bleeding was reported in 2.3% of patient admissions and in 0.9% of the procedures. Patients with bleeding were more likely to have nonalcoholic steatohepatitis (43.9% vs 30%) and higher body mass index (BMI; 31.2 vs 29.5). Patients with bleeding had a higher Model for End-Stage Liver Disease score at admission (24.5 vs 18.5). A multivariable analysis controlling for center variation found that high-risk procedures (odds ratio [OR], 4.64; 95% confidence interval [CI], 2.44-8.84), Model for End-Stage Liver Disease score (OR, 2.37; 95% CI, 1.46-3.86), and higher BMI (OR, 1.40; 95% CI, 1.10-1.80) independently predicted bleeding. Preprocedure international normalized ratio, platelet level, and antithrombotic use were not predictive of bleeding. Bleeding prophylaxis was used more routinely in patients with bleeding (19.4% vs 7.4%). Patients with bleeding had a significantly higher 28-day risk of death (hazard ratio, 6.91; 95% CI, 4.22-11.31). CONCLUSIONS: Procedural-related bleeding occurs rarely in hospitalized patients with cirrhosis. Patients with elevated BMI and decompensated liver disease who undergo high-risk procedures may be at risk to bleed. Bleeding is not associated with conventional hemostasis tests, preprocedure prophylaxis, or recent antithrombotic therapy.

Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially, controls (N = 13) and cirrhosis patients on lactulose/not on lactulose (n = 33) were trained on the app. They entered self-reported BSS (self-BSS) with AI-BSS communicated. Lactulose dose changes were tracked. A subset (n = 12) was retested with AI communication blocked. Most subjects were comfortable with the app. Self/AI-BSS and lactulose dose/AI-BSS correlation increased with app use. AI-BSS communications improved insight into self-BSS over time. Dieta app to gauge stool AI characteristics was acceptable and increased insight into lactulose dose and BSS in cirrhosis.

Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially, controls (N = 13) and cirrhosis patients on lactulose/not on lactulose (n = 33) were trained on the app. They entered self-reported BSS (self-BSS) with AI-BSS communicated. Lactulose dose changes were tracked. A subset (n = 12) was retested with AI communication blocked. Most subjects were comfortable with the app. Self/AI-BSS and lactulose dose/AI-BSS correlation increased with app use. AI-BSS communications improved insight into self-BSS over time. Dieta app to gauge stool AI characteristics was acceptable and increased insight into lactulose dose and BSS in cirrhosis.

Artificial Intelligence-Enabled Stool Analysis for Lactulose Titration Assistance in Hepatic Encephalopathy Through a Smartphone Application.

INTRODUCTION: Management of hepatic encephalopathy relies on self-titration of lactulose. In this feasibility trial, we assess an artificial intelligence-enabled tool to guide lactulose use through a smartphone application. METHODS: Subjects with hepatic encephalopathy on lactulose captured bowel movement pictures during lead-in and intervention phases. During the intervention phase, daily feedback on lactulose titration was delivered through the application. Goals were determined according to number of bowel movement and Bristol Stool Scale reports. RESULTS: Subjects completed the study with more than 80% satisfaction. In the lead-in phase, less compliant subjects achieved Bristol Stool Scale goal on 62/111 (56%) of days compared with 107/136 (79%) in the intervention phase ( P = 0.041), while the most compliant subjects showed no difference. Severe/recurrent hepatic encephalopathy group achieved Bristol Stool Scale goal on 80/104 (77%) days in the lead-in phase and 90/110 (82%) days in the intervention phase ( P = NS), compared with 89/143 (62%) days and 86/127 (68%) days in the stable group. DISCUSSION: Dieta application is a promising tool for objective Bowel Movement/Bristol Stool Scale tracking for hepatic encephalopathy and may potentially be used to assist with lactulose titration.

The Liver Cirrhosis Network Cohort Study: Cirrhosis Definition, Study Population, and Endpoints.

BACKGROUND: One of the primary goals of the Liver Cirrhosis Network (LCN) is to develop a cohort study to better understand and predict the risk of hepatic decompensation and other clinical and patient-reported outcomes among patients with Child A cirrhosis. METHODS: The LCN consists of a Scientific Data Coordinating Center (SDCC) and 10 clinical centers whose investigators populate multiple committees. The LCN Definitions and Measurements Committee developed preliminary definitions of cirrhosis and its complications by literature review, expert opinion, and reviewing definition documents developed by other organizations. The Cohort Committee developed the study protocol with the input of the steering committee. RESULTS: The LCN developed a prospective cohort study to describe and predict the rates of incident clinical events pertaining to first decompensation and patient reported outcomes. The LCN developed a pragmatic definition of compensated cirrhosis incorporating clinical, laboratory, imaging, and histological criteria. Definitions of incident and recompensated ascites, overt hepatic encephalopathy, variceal hemorrhage, bleeding due to portal gastropathy, and hepatocellular carcinoma were also codified. CONCLUSION: The LCN Cohort Study design will inform the natural history of cirrhosis in contemporary patients with compensated cirrhosis. The LCN Definitions and Measures Committee developed criteria for the definition of cirrhosis to standardize entry into this multi-center cohort study and standardized criteria for liver-related outcome measures. This effort has produced definitions intended to be both sensitive and specific as well as easily operationalized by study staff such that outcomes critical to the LCN cohort are identified and reported in an accurate and generalizable fashion.

Safety and efficacy of continuous terlipressin infusion in HRS-AKI in a transplant population.

Hepatorenal syndrome-acute kidney injury (HRS-AKI) is associated with significant morbidity and mortality. While liver transplantation is the definitive treatment, continuous terlipressin infusion for HRS-AKI may provide benefit and, as such, was assessed in a population composed of candidates for liver transplant (LT). Fifty hospitalized LT-eligible patients with HRS-AKI received a single bolus followed by continuous terlipressin infusion. Acute-on-chronic liver failure grade 3, serum creatinine (SCr)>5.0 mg/dL, or Model for End-Stage Liver Disease (MELD) ≥35 were exclusions. Fifty hospitalized patients who received midodrine and octreotide or norepinephrine for HRS-AKI served as a historical comparator cohort. Complete response (CR) was defined as a ≥30% decrease in SCr with end-of-treatment (EOT) SCr≤1.5, partial response as a ≥30% decrease in SCr with EOT SCr>1.5, and nonresponse as a <30% decrease in SCr. CR rate was significantly higher in the terlipressin cohort compared to the historical cohort (64% vs. 16%, p <0.001). Survival, while numerically higher in those who received terlipressin, was statistically similar (D30: 94% vs. 82%, p =0.12; D90: 78% vs. 68%, p =0.37). Renal replacement therapy (RRT) was more common among terlipressin NR than CR and PR (70% vs. 3% vs. 13%, p < 0.001). EOT MELD and SCr were significantly lower within terlipressin cohort (MELD: 19 vs. 25, SCr: 1.4 vs. 2.1 mg/dL, p <0.001). Sixteen of 40 terlipressin-treated patients received LT-alone (terlipressin CR in 10/16). One patient on terlipressin had a hypoxic respiratory failure that responded to diuretics; one possibly had drug-related rash. With continuous terlipressin infusion, a CR rate of 64% was observed with a favorable safety profile. Terlipressin use was associated with lower EOT MELD and SCr than the historical midodrine and octreotide/norepinephrine cohort; LT-alone was accomplished in a high proportion of complete terlipressin responders.

The RELAX randomized controlled trial: Stretching versus meditation for nocturnal muscle cramps.

BACKGROUND: Muscle cramps are common among persons with cirrhosis and are associated with poor health-related quality of life (HRQOL). Treatment options are limited. We compared stretching or meditation in a randomized-controlled trial (RCT). PATIENTS: We enrolled 98 patients with a history of >4 muscle cramps in the prior month from 7/22-7/23. We randomized patients 1:1 to stretching versus meditation for 35 days. Our primary outcome was the change in cramp severity measured by the visual analogue scale for cramps (VAS-cramps, scaled 0-10). Secondary outcomes included a patient global impression of change (PGIC), change in sleep quality and global HRQOL measured using the EQ-5D and VAS-global HRQOL. RESULTS: Overall, 48% of patients had cirrhosis, 40% had diabetes, 16% the median age was 63, most were women (67%) and 81% were college educated. Both arms experienced a reduction in cramp severity-a median of 1.44 (.58-2.29) points for stretching and 1.97 (1.01-2.93) points for meditation. These changes were significant changes from baseline (p = .001 for stretching, p < .0001 for meditation) but these changes were equivalent between arms (p = .4). The PGIC was improved: 1.33 (1.02-1.65) for stretching, 1.05 (.70-1.41) for meditation, p-difference .2. Sleep was also improved for both. HRQOL did not change according to the Eq5D; according to the VAS, HRQOL rose for meditation by 6 (.1-11.8) points but not for stretching. More patients recommended stretching than meditation (79.2% vs. 55.3%, p = .02). CONCLUSION: In a randomized trial, stretching and meditation both reduced cramp severity and improved sleep quality and global impression of change. While patients preferred stretching, there was no difference in effect between arms.

Applicant-Fellow Virtual Sessions in Recruitment for Gastroenterology Fellowship.

BACKGROUND: Since the COVID-19 pandemic in 2020, virtual interviews have become a norm for gastroenterology (GI) fellowship recruitment. Most interviews hold a session for applicant and current fellow interaction. There is wide variability of the sessions across programs. There are a paucity of data on the influence of these sessions on applicants' ranking of programs. AIMS: We aim to describe applicants' experiences and perceptions of virtual happy hours (i.e., applicant-fellow sessions) during the GI fellowship application process. METHODS: We surveyed applicants participating in the 2022 GI fellowship match cycle to understand their experience with virtual fellow-only happy hours. Mixed methods analyses were performed. RESULTS: The survey was completed by 68 (13.91%) applicants, of which, 75% reported that at least half of the interviews they attended had conducted a virtual, fellow-only happy hour. Most respondents preferred that the virtual happy hours should be conducted prior to the interview day (58%) and that breakout rooms with a smaller ratio of applicants to fellows are helpful (78%). The majority (87%) of respondents reported attending these sessions at least 75% of the time. Nearly half (44%) of respondents reported that these sessions influenced/altered their ranking decisions with respect to programs. CONCLUSION: Given the advantages associated with virtual interviews and their ongoing support by professional societies, the virtual platform is likely here to stay in future. Virtual fellow-only happy hours help provide a representation of the program's mission and when successfully implemented, can be leveraged to optimize recruitment and attract qualified, diverse candidates.

Cirrhosis Management in the Intensive Care Unit.

Patients with cirrhosis frequently require admission to the intensive care unit as complications arise in the course of their disease. These admissions are associated with high short- and long-term morbidity and mortality. Thus, understanding and characterizing complications and unique needs of patients with cirrhosis and acute-on-chronic liver failure helps providers identify appropriate level of care and evidence-based treatments. While there is no widely accepted critical care admission criteria for patients with cirrhosis, the presence of organ failure and primary or nosocomial infections are associated with particularly high in-hospital mortality. Optimal management of patients with cirrhosis in the critical care setting requires a system-based approach that acknowledges deviations from canonical pathophysiology. In this review, we discuss appropriate considerations and evidence-based practices for the general care of patients with cirrhosis and critical illness.

Artificial intelligence, machine learning, and deep learning in liver transplantation.

Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. The management of LT recipients is complex, predominantly because of the need to consider demographic, clinical, laboratory, pathology, imaging, and omics data in the development of an appropriate treatment plan. Current methods to collate clinical information are susceptible to some degree of subjectivity; thus, clinical decision-making in LT could benefit from the data-driven approach offered by artificial intelligence (AI). Machine learning and deep learning could be applied in both the pre- and post-LT settings. Some examples of AI applications pre-transplant include optimising transplant candidacy decision-making and donor-recipient matching to reduce waitlist mortality and improve post-transplant outcomes. In the post-LT setting, AI could help guide the management of LT recipients, particularly by predicting patient and graft survival, along with identifying risk factors for disease recurrence and other associated complications. Although AI shows promise in medicine, there are limitations to its clinical deployment which include dataset imbalances for model training, data privacy issues, and a lack of available research practices to benchmark model performance in the real world. Overall, AI tools have the potential to enhance personalised clinical decision-making, especially in the context of liver transplant medicine.

The novel SALT-M score predicts 1-year post-transplant mortality in patients with severe acute-on-chronic liver failure.

BACKGROUND & AIMS: Twenty-eight-day mortality ranges from 30-90% in patients with acute-on-chronic liver failure grades 2/3 (severe ACLF). Though liver transplantation (LT) has demonstrated a survival benefit, the scarcity of donor organs and uncertainty regarding post-LT mortality among patients with severe ACLF may cause hesitancy. We developed and externally validated a model to predict 1-year post-LT mortality in severe ACLF, called the Sundaram ACLF-LT-Mortality (SALT-M) score, and estimated the median length of stay (LoS) after LT (ACLF-LT-LoS). METHODS: In 15 LT centers in the US, we retrospectively identified a cohort of patients with severe ACLF transplanted between 2014-2019, followed up to Jan'2022. Candidate predictors included demographics, clinical and laboratory values, and organ failures. We selected predictors in the final model using clinical criteria and externally validated them in two French cohorts. We provided measures of overall performance, discrimination, and calibration. We used multivariable median regression to estimate LoS after adjusting for clinically relevant factors. RESULTS: We included 735 patients, of whom 521 (70.8%) had severe ACLF (120 ACLF-3, external cohort). The median age was 55 years, and 104 with severe ACLF (19.9%) died within 1-year post-LT. Our final model included age >50 years, use of 1/≥2 inotropes, presence of respiratory failure, diabetes mellitus, and BMI (continuous). The c-statistic was 0.72 (derivation) and 0.80 (validation), indicating adequate discrimination and calibration based on the observed/expected probability plots. Age, respiratory failure, BMI, and presence of infection independently predicted median LoS. CONCLUSIONS: The SALT-M score predicts mortality within 1-year after LT in patients with ACLF. The ACLF-LT-LoS score predicted median post-LT stay. Future studies using these scores could assist in determining transplant benefits. IMPACT AND IMPLICATIONS: Liver transplantation (LT) may be the only life-saving procedure available to patients with acute-on-chronic liver failure (ACLF), but clinically instability can augment the perceived risk of post-transplant mortality at 1 year. We developed a parsimonious score with clinically and readily available parameters to objectively assess 1-year post-LT survival and predict median length of stay after LT. We developed and externally validated a clinical model called the Sundaram ACLF-LT-Mortality score in 521 US patients with ACLF with 2 or ≥3 organ failure(s) and 120 French patients with ACLF grade 3. The c-statistic was 0.72 in the development cohort and 0.80 in the validation cohort. We also provided an estimation of the median length of stay after LT in these patients. Our models can be used in discussions on the risks/benefits of LT in patients listed with severe ACLF. Nevertheless, the score is far from perfect and other factors, such as patient's preference and center-specific factors, need to be considered when using these tools.

Incidence and outcomes of acute kidney injury including hepatorenal syndrome in hospitalized patients with cirrhosis in the US.

BACKGROUND & AIMS: Acute kidney injury (AKI) in cirrhosis is common and associated with high morbidity, but the incidence rates of different etiologies of AKI are not well described in the US. We compared incidence rates, practice patterns, and outcomes across etiologies of AKI in cirrhosis. METHODS: We performed a retrospective cohort study of 11 hospital networks, including consecutive adult patients admitted with AKI and cirrhosis in 2019. The etiology of AKI was adjudicated based on pre-specified clinical definitions (prerenal/hypovolemic AKI, hepatorenal syndrome [HRS-AKI], acute tubular necrosis [ATN], other). RESULTS: A total of 2,063 patients were included (median age 62 [IQR 54-69] years, 38.3% female, median MELD-Na score 26 [19-31]). The most common etiology was prerenal AKI (44.3%), followed by ATN (30.4%) and HRS-AKI (12.1%); 6.0% had other AKI, and 7.2% could not be classified. In our cohort, 8.1% of patients received a liver transplant and 36.5% died by 90 days. The lowest rate of death was observed in patients with prerenal AKI (22.2%; p <0.001), while death rates were higher but not significantly different from each other in those with HRS-AKI and ATN (49.0% vs. 52.7%; p = 0.42). Using prerenal AKI as a reference, the adjusted subdistribution hazard ratio (sHR) for 90-day mortality was higher for HRS-AKI (sHR 2.78; 95% CI 2.18-3.54; p <0.001) and ATN (sHR 2.83; 95% CI 2.36-3.41; p <0.001). In adjusted analysis, higher AKI stage and lack of complete response to treatment were associated with an increased risk of 90-day mortality (p <0.001 for all). CONCLUSION: AKI is a severe complication of cirrhosis. HRS-AKI is uncommon and is associated with similar outcomes to ATN. The etiology of AKI, AKI stage/severity, and non-response to treatment were associated with mortality. Further optimization of vasoconstrictors for HRS-AKI and supportive therapies for ATN are needed. IMPACT AND IMPLICATIONS: Acute kidney injury (AKI) in cirrhosis carries high morbidity, and management is determined by the etiology of injury. However, a large and well-adjudicated multicenter database from US centers that uses updated AKI definitions is lacking. Our findings demonstrate that acute tubular necrosis and hepatorenal syndrome have similar outcomes (∼50% mortality at 90 days), though hepatorenal syndrome is uncommon (12% of all AKI cases). These findings represent practice patterns at US transplant/tertiary centers and can be used as a baseline, presenting the situation prior to the adoption of terlipressin in the US.

Chylous Ascites: Reassessment of Diagnostic Criteria in Patients With Portal Hypertension.

INTRODUCTION: The triglyceride (TG) threshold for diagnosis of chylous ascites in patients with portal hypertension remains uncertain. METHODS: Retrospective analysis of lipoprotein electrophoresis was conducted in 286 consecutive ascites samples. RESULTS: Ascitic TG ≥ 81 mg/dL is 95.4% sensitive and 94.6% specific for chylous ascites diagnosed by the presence of significant chylomicron population. DISCUSSION: The cutoff for chylous ascites diagnosis should be TG ≥ 81 mg/dL.

The digital transformation of hepatology: The patient is logged in.

The rise in innovative digital health technologies has led a paradigm shift in health care toward personalized, patient-centric medicine that is reaching beyond traditional brick-and-mortar facilities into patients' homes and everyday lives. Digital solutions can monitor and detect early changes in physiological data, predict disease progression and health-related outcomes based on individual risk factors, and manage disease intervention with a range of accessible telemedicine and mobile health options. In this review, we discuss the unique transformation underway in the care of patients with liver disease, specifically examining the digital transformation of diagnostics, prediction and clinical decision-making, and management. Additionally, we discuss the general considerations needed to confirm validity and oversight of new technologies, usability and acceptability of digital solutions, and equity and inclusivity of vulnerable populations.

North American Practice-Based Recommendations for Transjugular Intrahepatic Portosystemic Shunts in Portal Hypertension.

Complications of portal hypertension, including ascites, gastrointestinal bleeding, hepatic hydrothorax, and hepatic encephalopathy, are associated with significant morbidity and mortality. Despite few high-quality randomized controlled trials to guide therapeutic decisions, transjugular intrahepatic portosystemic shunt (TIPS) creation has emerged as a crucial therapeutic option to treat complications of portal hypertension. In North America, the decision to perform TIPS involves gastroenterologists, hepatologists, and interventional radiologists, but TIPS creation is performed by interventional radiologists. This is in contrast to other parts of the world where TIPS creation is performed primarily by hepatologists. Thus, the successful use of TIPS in North America is dependent on a multidisciplinary approach and technical expertise, so as to optimize outcomes. Recently, new procedural techniques, TIPS stent technology, and indications for TIPS have emerged. As a result, practices and outcomes vary greatly across institutions and significant knowledge gaps exist. In this consensus statement, the Advancing Liver Therapeutic Approaches group critically reviews the application of TIPS in the management of portal hypertension. Advancing Liver Therapeutic Approaches convened a multidisciplinary group of North American experts from hepatology, interventional radiology, transplant surgery, nephrology, cardiology, pulmonology, and hematology to critically review existing literature and develop practice-based recommendations for the use of TIPS in patients with any cause of portal hypertension in terms of candidate selection, procedural best practices and, post-TIPS management; and to develop areas of consensus for TIPS indications and the prevention of complications. Finally, future research directions are identified related to TIPS for the management of portal hypertension.

Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis.

INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-related signals on ECG and generate an AI-Cirrhosis-ECG (ACE) score that would correlate with disease severity. METHODS: A review of Mayo Clinic's electronic health records identified 5,212 patients with advanced cirrhosis ≥18 years who underwent liver transplantation at the 3 Mayo Clinic transplant centers between 1988 and 2019. The patients were matched by age and sex in a 1:4 ratio to controls without liver disease and then divided into training, validation, and test sets using a 70%-10%-20% split. The primary outcome was the performance of the model in distinguishing patients with cirrhosis from controls using their ECGs. In addition, the association between the ACE score and the severity of patients' liver disease was assessed. RESULTS: The model's area under the curve in the test set was 0.908 with 84.9% sensitivity and 83.2% specificity, and this performance remained consistent after additional matching for medical comorbidities. Significant elevations in the ACE scores were seen with increasing model for end-stage liver disease-sodium score. Longitudinal trends in the ACE scores before and after liver transplantation mirrored the progression and resolution of liver disease. DISCUSSION: The ACE score, a deep learning model, can accurately discriminate ECGs from patients with and without cirrhosis. This novel relationship between AI-enabled ECG analysis and cirrhosis holds promise as the basis for future low-cost tools and applications in the care of patients with liver disease.