Vargas, Hugo

Abstract Background Metabolic dysfunction–associated steatotic liver disease (MASLD) is increasingly recognized among people with human immunodeficiency virus (PWH), which is likely related to metabolic alterations and fat redistribution. Anthropometric measures such as body mass index (BMI) and waist circumference (WC) are commonly used for assessing metabolic risk. However, their predictive accuracy for MASLD in this population remains uncertain. Method This multicenter cross-sectional study enrolled adults with HIV who underwent transient elastography with controlled attenuation parameter (CAP) measurement. Anthropometric and metabolic indices, including BMI, WC, hip circumference, waist-to-hip ratio (WHR), and visceral adiposity index (VAI), were collected from the study participants. Receiver operating characteristic (ROC) curve analyses were performed to determine the diagnostic performance of these indices for detecting hepatic steatosis, defined as CAP value of ≥248 dB/m. Analyses were stratified by sex assigned at birth. Results Altogether, 256 participants were included. WC demonstrated the numerically highest discrimination for CAP-defined steatosis (area under the ROC curve 0.769), followed by BMI and hip circumference, whereas WHR and VAI showed weaker performance. In sex-stratified analyses, WC remained the numerically highest-performing measure among males, whereas BMI, WC, hip circumference, and VAI showed similar discrimination among females. Conclusions Simple anthropometric measures, particularly WC, show fair ability to discriminate CAP-defined hepatic steatosis in PWH and may facilitate targeted fatty liver screening in routine HIV care.

ABSTRACT Hyperammonemia in adults is most often due to cirrhosis. Ammonia is metabolized through the urea cycle. With liver disease, this pathway is altered, and urea is unable to be formed, creating a buildup of ammonia with numerous side effects, including encephalopathy. A less common presentation is hyperammonemia in the absence of liver disease. We present a rare case of non-cirrhotic hyperammonemia due to a splenogonadal shunt.

Summary Background Previous studies suggested increased mortality in patients with hepatorenal syndrome type 1 (HRS1) and advanced acute‐on‐chronic liver failure (ACLF). Aim To assess mortality and respiratory failure (RF) in patients with HRS1 and ACLF treated with terlipressin. Methods In the CONFIRM study, we randomised 299 patients with HRS1 2:1 to terlipressin or placebo, both with albumin. At enrolment, all patients were assessed for organ failure (OF) using a validated ACLF grading system. Post hoc analyses assessed the effects of terlipressin vs. placebo on the incidence of RF and 90‐day mortality. Results The incidence of RF with terlipressin ( n = 200) was 9.4% in patients with grades 1–2 ACLF, and 30% with grade 3 ACLF ( p = 0.0002); no such difference was observed in placebo‐treated patients ( n = 99) (6.2% grades 1–2 vs. 0% grade 3 ACLF, p > 0.05). RF incidence between terlipressin and placebo in patients with grade 3 ACLF was significant ( p = 0.01). Baseline predictors of RF with terlipressin were INR ( p = 0.011), mean arterial pressure ( p = 0.037), and SpO 2 ( p = 0.014). Prior albumin as a continuous variable was not a predictor of RF. 90‐day survival between terlipressin and placebo arms was similar for grades 1–2 ACLF (55.5% and 56.6%, respectively), but lower for grade 3 ACLF (27.55% vs. 50.0%) ( p = 0.122), mainly related to RF. Conclusion Terlipressin should be used with caution in patients with HRS1 and grade 3 ACLF. Patients with hypoxaemia are at increased risk of RF and mortality.

Abstract Cirrhosis is complicated by a high rate of nosocomial infections (NIs), which result in poor outcomes and are challenging to predict using clinical variables alone. Our aim was to determine predictors of NI using admission serum metabolomics and gut microbiota in inpatients with cirrhosis. In this multicenter inpatient cirrhosis study, serum was collected on admission for liquid chromatography–mass spectrometry metabolomics, and a subset provided stool for 16SrRNA analysis. Hospital course, including NI development and death, were analyzed. Metabolomic analysis using analysis of covariance (ANCOVA) (demographics, Model for End‐Stage Liver Disease [MELD] admission score, white blood count [WBC], rifaximin, and infection status adjusted) and random forest analyses for NI development were performed. Additional values of serum metabolites over clinical variables toward NI were evaluated using logistic regression. Stool microbiota and metabolomic correlations were compared in patients with and without NI development. A total of 602 patients (231 infection admissions) were included; 101 (17%) developed NIs, which resulted in worse inpatient outcomes, including intensive care unit transfer, organ failure, and death. A total of 127 patients also gave stool samples, and 20 of these patients developed NIs. The most common NIs were spontaneous bacterial peritonitis followed by urinary tract infection, Clostridioides difficile, and pneumonia. A total of 247 metabolites were significantly altered on ANCOVA. Higher MELD scores (odds ratio, 1.05; p < 0.0001), admission infection (odds ratio, 3.54; p < 0.0001), and admission WBC (odds ratio, 1.05; p = 0.04) predicted NI (area under the curve, 0.74), which increased to 0.77 (p = 0.05) with lower 1‐linolenoyl‐glycerolphosphocholine (GPC) and 1‐stearoyl‐GPC and higher N‐acetyltryptophan and N‐acetyl isoputreanine. Commensal microbiota were lower and pathobionts were higher in those who developed NIs. Microbial–metabolite correlation networks were complex and dense in patients with NIs, especially sub‐networks centered on Ruminococcaceae and Pseudomonadaceae. NIs are common and associated with poor outcomes in cirrhosis. Admission gut microbiota in patients with NIs showed higher pathobionts and lower commensal microbiota. Microbial–metabolomic correlations were more complex, dense, and homogeneous among those who developed NIs, indicating greater linkage strength. Serum metabolites and gut microbiota on admission are associated with NI development in cirrhosis.

Background: Direct-acting antivirals (DAA) are highly effective for the treatment of hepatitis C (HCV), although there are limited data on the safety and efficacy of DAA therapy in hepatitis C-positive individuals awaiting liver transplantation for hepatocellular carcinoma (HCC). Methods: We conducted a retrospective cohort study of HCV-positive patients who underwent liver transplantation for HCC at 3 liver transplant centers across the United States from 2014 to 2017 with follow-up to July 2018. Transplant recipients who received DAA before transplant were compared with those who did not (DAA naive) for posttransplant HCC recurrence rate, sustained virological response (SVR), allograft failure, and death using Kaplan-Meier analysis and Cox proportional hazard models. Results: A total of 171 HCV-HCC transplant recipients (99 pretransplant DAA; 72 DAA naive controls) were included, with a median follow-up of 24 months. The overall posttransplant HCC recurrence rate was 9% (15/171). Pretransplant DAA was not associated with HCC recurrence (5% versus 14%; P = 0.07), graft failure (7% versus 3%; P = 0.21), or death (12% versus 19%; P = 0.19) as compared with DAA naive patients. SVR rates were significantly lower (P < 0.01) with pretransplant DAA (75%, 39/52) than posttransplant DAA (97%, 59/61) therapies. Those who received pretransplant DAA and those who did not were not statistically different in age, gender, alpha fetal protein levels, model for end-stage liver disease scores, or transplant wait time. Conclusions: Pretransplant DAA for HCV was not associated with an increased risk of posttransplant HCC recurrence, though pretransplant DAA had lower efficacy than posttransplant DAA in HCV-HCC transplant recipients.

Background. Portopulmonary hypertension (POPH) is the presence of pulmonary arterial (PA) hypertension in patients with portal hypertension and is associated with significant morbidity and mortality. In a cohort of POPH patients, we describe the clinical outcomes of POPH patients who underwent liver transplantation (LT). Methods. Retrospectively collected data from a prospectively assembled cohort of all consecutive POPH adults evaluated in 3 transplant centers from 1996 to 2019. Results. From a cohort of 228 POPH patients, 50 patients underwent LT. Significant hemodynamic improvement after PA-targeted therapy was observed, with 58% receiving only monotherapy pretransplant. After LT, 21 (42%) patients were able to discontinue and remained off PA-targeted therapy. The 1-, 3-, and 5-y unadjusted survival rates after LT were 72%, 63%, and 60%, respectively. An elevated pulmonary vascular resistance (PVR) before LT was associated with worse survival rate (HR, 1.91; 95% CI, 1.07-3.74, P = 0.04). No survival difference was observed in those granted MELD exception or transplants performed before or after the year 2010. Conclusions. Significant number of POPH patients discontinued PA-targeted therapy after LT. Higher PVR before LT was associated with worse survival, as was monotherapy use. Despite effective PA-targeted therapies, POPH survival outcomes after LT in our cohort were modest and may reflect the need for more aggressive therapy.

INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at admission, during hospitalization, and at discharge. METHODS: We used the multicenter North American Consortium for the Study of End-Stage Liver Disease (NACSELD) cohort of cirrhotic inpatients who are followed up through 90-days postdischarge for readmission and death. We used statistical methods to select variables that are significant for readmission and death and trained 3 AI models, including logistic regression (LR), kernel support vector machine (SVM), and random forest classifiers (RFC), to predict readmission and death. We used the area under the receiver operating characteristic curve (AUC) from 10-fold crossvalidation for evaluation to compare sexes. Data were compared with model for end-stage liver disease (MELD) at discharge. RESULTS: We included 2,170 patients (57 ± 11 years, MELD 18 ± 7, 61% men, 79% White, and 8% Hispanic). The 30-day and 90-day readmission rates were 28% and 47%, respectively, and 13% died at 90 days. Prediction for 30-day readmission resulted in 0.60 AUC for all patients with RFC, 0.57 AUC with LR for women-only subpopulation, and 0.61 AUC with LR for men-only subpopulation. For 90-day readmission, the highest AUC was achieved with kernel SVM and RFC (AUC = 0.62). We observed higher predictive value when training models with only women (AUC = 0.68 LR) vs men (AUC = 0.62 kernel SVM). Prediction for death resulted in 0.67 AUC for all patients, 0.72 for women-only subpopulation, and 0.69 for men-only subpopulation, all with LR. MELD-Na model AUC was similar to those from the AI models. DISCUSSION: Despite using multiple AI techniques, it is difficult to predict 30- and 90-day readmissions and death in cirrhosis. AI model accuracies were equivalent to models generated using only MELD-Na scores. Additional biomarkers are needed to improve our predictive capability (See also the visual abstract at http://links.lww.com/AJG/B710).

Background and Aims Interleukin‐22 has beneficial effects on inflammation and impaired hepatic regeneration that characterize alcohol‐associated hepatitis (AH). F‐652 is a recombinant fusion protein of human interleukin‐22 and immunoglobulin G2 fragment crystallizable. This study aims to assess the safety and efficacy signals of F‐652 in patients with moderate and severe AH. Approach and Results A phase‐2 dose‐escalating study was carried out. F‐652 (10 μg/kg, 30 μg/kg, or 45 μg/kg) administered on days 1 and 7 was tested in 3 patients each with moderate (Model for End‐Stage Liver Disease [MELD] scores: 11‐20) and severe AH (MELD scores: 21‐28). Safety was defined by absence of serious adverse events and efficacy was assessed by Lille score, changes in MELD score, and serum bilirubin and aminotransferases at days 28 and 42. Three independent propensity‐matched comparator patient cohorts were used. Plasma extracellular vesicles and multiplex serum cytokines were measured to assess inflammation and hepatic regeneration. Eighteen patients (9 moderate and 9 severe AH) were enrolled, 66% were male, and the mean age was 48 years. The half‐life of F‐652 following the first dose was 61‐85 hours. There were no serious adverse events leading to discontinuation. The MELD score and serum aminotransferases decreased significantly at days 28 and 42 from baseline (P < 0.05). Day‐7 Lille score was 0.45 or less in 83% patients as compared with 6%, 12%, and 56% among the comparator cohorts. Extracellular vesicle counts decreased significantly at day 28 (P < 0.013). Cytokine inflammatory markers were down‐regulated, and regeneration markers were up‐regulated at days 28 and 42. Conclusions F‐652 is safe in doses up to 45 μg/kg and associated with a high rate of improvement as determined by Lille and MELD scores, reductions in markers of inflammation and increases in markers of hepatic regeneration. This study supports the need for randomized placebo‐controlled trials to test the efficacy of F‐652 in AH.

The tyrosine kinase inhibitor sorafenib improves hepatopulmonary syndrome (HPS) in an experimental model. However, the efficacy and adverse effect profile in patients with HPS are unknown. We aimed to determine the effect of sorafenib on the alveolar‐arterial oxygen gradient (AaPO2) at 3 months in patients with HPS. We performed a randomized, double‐blind, placebo‐controlled parallel trial of sorafenib in patients with HPS at 7 centers. A total of 28 patients with HPS were randomized to sorafenib 400 mg by mouth daily or a matching placebo in a 1:1 ratio. We found no statistically significant difference in the median change in AaPO2 from baseline to 12 weeks between the patients allocated to sorafenib (4.5 mm Hg; IQR, –3.8 to 7.0 mm Hg) and those allocated to placebo (–2.4 mm Hg; IQR, –4.8 to 8.2 mm Hg; P = 0.70). There was also no difference between the groups in terms of degree of intrapulmonary shunting by contrast echocardiography. Sorafenib significantly reduced circulating levels of angiogenic markers, including vascular endothelial growth factor receptors (P < 0.01) and TIE2‐expressing M2 monocytes (P = 0.03), but it reduced the mental component scores of the Short Form 36 (P = 0.04), indicating a worse quality of life. In conclusion, sorafenib did not change the AaPO2 or other disease markers at 3 months in patients with HPS. Alternative antiangiogenic therapies or treatments targeting other pathways should be investigated.

In smaller single‐center studies, patients with cirrhosis are at a high readmission risk, but a multicenter perspective study is lacking. We evaluated the determinants of 3‐month readmissions among inpatients with cirrhosis using the prospective 14‐center North American Consortium for the Study of End‐Stage Liver Disease cohort. Patients with cirrhosis hospitalized for nonelective indications provided consent and were followed for 3 months postdischarge. The number of 3‐month readmissions and their determinants on index admission and discharge were calculated. We used multivariable logistic regression for all readmissions and for hepatic encephalopathy (HE), renal/metabolic, and infection‐related readmissions. A score was developed using admission/discharge variables for the total sample, which was validated on a random half of the total population. Of the 1353 patients enrolled, 1177 were eligible on discharge and 1013 had 3‐month outcomes. Readmissions occurred in 53% (n = 535; 316 with one, 219 with two or more), with consistent rates across sites. The leading causes were liver‐related (n = 333; HE, renal/metabolic, and infections). Patients with cirrhosis and with worse Model for End‐Stage Liver Disease score or diabetes, those taking prophylactic antibiotics, and those with prior HE were more likely to be readmitted. The admission model included Model for End‐Stage Liver Disease and diabetes (c‐statistic = 0.64, after split‐validation 0.65). The discharge model included Model for End‐Stage Liver Disease, proton pump inhibitor use, and lower length of stay (c‐statistic = 0.65, after split‐validation 0.70). Thirty percent of readmissions could not be predicted. Patients with liver‐related readmissions consistently had index‐stay nosocomial infections as a predictor for HE, renal/metabolic, and infection‐associated readmissions (odds ratio = 1.9‐3.0). Conclusions: Three‐month readmissions occurred in about half of discharged patients with cirrhosis, which were associated with cirrhosis severity, diabetes, and nosocomial infections; close monitoring of patients with advanced cirrhosis and prevention of nosocomial infections could reduce this burden. (Hepatology 2016;64:200–208)