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BACKGROUND & AIMS: Grades 3 to 4 hepatic encephalopathy (advanced HE), also termed brain failure, is an organ failure that defines acute-on-chronic liver failure. It is associated with poor outcomes in cirrhosis but cannot be predicted accurately. We aimed to determine the admission metabolomic biomarkers able to predict the development of advanced HE with subsequent validation. METHODS: Prospective inpatient cirrhosis cohorts (multicenter and 2-center validation) without brain failure underwent admission serum collection and inpatient follow-up evaluation. Serum metabolomics were analyzed to predict brain failure on random forest analysis and logistic regression. A separate validation cohort also was recruited. RESULTS: The multicenter cohort included 602 patients, of whom 144 developed brain failure (105 only brain failure) 3 days after admission. Unadjusted random forest analysis showed that higher admission microbially derived metabolites and lower isoleucine, thyroxine, and lysophospholipids were associated with brain failure development (area under the curve, 0.87 all; 0.90 brain failure only). Logistic regression area under the curve with only clinical variables significantly improved with metabolites (95% CI 0.65-0.75; P = .005). Four metabolites that significantly added to brain failure prediction were low thyroxine and maltose and high methyl-4-hydroxybenzoate sulfate and 3-4 dihydroxy butyrate. Thyroxine alone also significantly added to the model (P = .05). The validation cohort including 81 prospectively enrolled patients, of whom 11 developed brain failure. Admission hospital laboratory thyroxine levels predicted brain failure development despite controlling for clinical variables with high specificity. CONCLUSIONS: In a multicenter inpatient cohort, admission serum metabolites, including thyroxine, predicted advanced HE development independent of clinical factors. Admission low local laboratory thyroxine levels were validated as a predictor of advanced HE development in a separate cohort.

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

Background and aimsAcute kidney injury (AKI) has a poor prognosis in cirrhosis. Given the variability of creatinine, the prediction of AKI and dialysis by other markers is needed. The aim of this study is to determine the role of serum and urine metabolomics in the prediction of AKI and dialysis in an inpatient cirrhosis cohort.Approach and resultsInpatients with cirrhosis from 11 North American Consortium of End-stage Liver Disease centers who provided admission serum/urine when they were AKI and dialysis-free were included. Analysis of covariance adjusted for demographics, infection, and cirrhosis severity was performed to identify metabolites that differed among patients (1) who developed AKI or not; (2) required dialysis or not; and/pr (3) within AKI subgroups who needed dialysis or not. We performed random forest and AUC analyses to identify specific metabolite(s) associated with outcomes. Logistic regression with clinical variables with/without metabolites was performed. A total of 602 patients gave serum (218 developed AKI, 80 needed dialysis) and 435 gave urine (164 developed AKI, 61 needed dialysis). For AKI prediction, clinical factor-adjusted AUC was 0.91 for serum and 0.88 for urine. Major metabolites such as uremic toxins (2,3-dihydroxy-5-methylthio-4-pentenoic acid [DMTPA], N2N2dimethylguanosine, uridine/pseudouridine) and tryptophan/tyrosine metabolites (kynunerate, 8-methoxykyunerate, quinolinate) were higher in patients who developed AKI. For dialysis prediction, clinical factor-adjusted AUC was 0.93 for serum and 0.91 for urine. Similar metabolites as AKI were altered here. For dialysis prediction in those with AKI, the AUC was 0.81 and 0.79 for serum/urine. Lower branched-chain amino-acid (BCAA) metabolites but higher cysteine, tryptophan, glutamate, and DMTPA were seen in patients with AKI needing dialysis. Serum/urine metabolites were additive to clinical variables for all outcomes.ConclusionsSpecific admission urinary and serum metabolites were significantly additive to clinical variables to predict AKI development and dialysis initiation in inpatients with cirrhosis. These observations can potentially facilitate earlier initiation of renoprotective measures.

BackgroundThe concept of chemical agents having properties that confer potential hazard called key characteristics (KCs) was first developed to identify carcinogenic hazards. Identification of KCs of cardiovascular (CV) toxicants could facilitate the systematic assessment of CV hazards and understanding of assay and data gaps associated with current approaches.ObjectivesWe sought to develop a consensus-based synthesis of scientific evidence on the KCs of chemical and nonchemical agents known to cause CV toxicity along with methods to measure them.MethodsAn expert working group was convened to discuss mechanisms associated with CV toxicity.ResultsThe group identified 12 KCs of CV toxicants, defined as exogenous agents that adversely interfere with function of the CV system. The KCs were organized into those primarily affecting cardiac tissue (numbers 1-4 below), the vascular system (5-7), or both (8-12), as follows: 1) impairs regulation of cardiac excitability, 2) impairs cardiac contractility and relaxation, 3) induces cardiomyocyte injury and death, 4) induces proliferation of valve stroma, 5) impacts endothelial and vascular function, 6) alters hemostasis, 7) causes dyslipidemia, 8) impairs mitochondrial function, 9) modifies autonomic nervous system activity, 10) induces oxidative stress, 11) causes inflammation, and 12) alters hormone signaling.DiscussionThese 12 KCs can be used to help identify pharmaceuticals and environmental pollutants as CV toxicants, as well as to better understand the mechanistic underpinnings of their toxicity. For example, evidence exists that fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5)] air pollution, arsenic, anthracycline drugs, and other exogenous chemicals possess one or more of the described KCs. In conclusion, the KCs could be used to identify potential CV toxicants and to define a set of test methods to evaluate CV toxicity in a more comprehensive and standardized manner than current approaches. https://doi.org/10.1289/EHP9321.

Background & aimsInpatients with cirrhosis have high rates of acute-on-chronic failure (ACLF) development and high mortality within 30 days of admission to the hospital. Better biomarkers are needed to predict these outcomes. We performed metabolomic analyses of serum samples from patients with cirrhosis at multiple centers to determine whether metabolite profiles might identify patients at high risk for ACLF and death.MethodsWe performed metabolomic analyses, using liquid chromatography, of serum samples collected at time of admission to 12 North American tertiary hepatology centers from 602 patients in the North American Consortium for the Study of End-Stage Liver Disease sites from 2015 through 2017 (mean age, 56 years; 61% men; mean model for end-stage liver disease score, 19.5). We performed analysis of covariance, adjusted for model for end-stage liver disease at time of hospital admission, serum levels of albumin and sodium, and white blood cell count, to identify metabolites that differed between patients who did vs did not develop ACLF and patients who did vs did not die during hospitalization and within 30 days. We performed random forest analysis to identify specific metabolite(s) that were associated with outcomes and area under the curve (AUC) analyses to analyze them in context of clinical parameters. We analyzed microbiomes of stool samples collected from 133 patients collected at the same time and examined associations with serum metabolites.ResultsOf the 602 patients analyzed, 88 developed ACLF (15%), 43 died in the hospital (7%), and 72 died within 30 days (12%). Increased levels of compounds of microbial origin (aromatic compounds, secondary or sulfated bile acids, and benzoate) and estrogen metabolites, as well as decreased levels of phospholipids, were associated with development of ACLF, inpatient, and 30-day mortality and were also associated with fecal microbiomes. Random forest analysis and logistic regression showed that levels of specific microbially produced metabolites identified patients who developed ACLF with an AUC of 0.84 (95% confidence interval [CI] 0.78-0.88; P = .001), patients who died while in the hospital with an AUC of 0.81 (95% CI 0.74-0.85; P = .002), and patients who died within 30 days with an AUC of 0.77 (95% CI 0.73-0.81; P = .02). The metabolites were significantly additive to clinical parameters for predicting these outcomes. Metabolites associated with outcomes were also correlated with microbiomes of stool samples.ConclusionsIn an analysis of serum metabolites and fecal microbiomes of patients hospitalized with cirrhosis at multiple centers, we associated metabolites of microbial origin and lipid moieties with development of ACLF and death as an inpatient or within 30 days, after controlling for clinical features.

ObjectivesNosocomial infections (NIs) can be a major cause of morbidity and mortality in cirrhosis. This study aims to define the determinants of NI development and its impact on 30-day outcomes among hospitalized patients with cirrhosis.MethodsNorth American Consortium for the Study of End-Stage Liver Disease enrolled patients with cirrhosis who were admitted nonelectively. Admission variables and 30-day outcomes were compared between patients with and without NI. These were also compared based on whether there was an isolated admission infection, NI, or both. Models were created for NI development using admission variables and for 30-day mortality.ResultsThe study included 2,864 patients; of which, 15% (n = 436) developed NI. When comparing NI vs no NI, 1,866 patients were found to be infection free, whereas 562 had admission infections only, 228 had only NI, and 208 had both infections. At admission, patients with NI were more likely to be infected and have advanced cirrhosis. NIs were associated with higher rates of acute-on-chronic liver failure, death, and transplant regardless of admission infections. Patients with NI had higher respiratory infection, urinary tract infection, Clostridium difficile infection, fungal infections, and infection with vancomycin-resistant enterococci compared with patients without NI. Risk factors for NIs were admission infections, model for end-stage liver disease (MELD) > 20, systemic inflammatory response syndrome criteria, proton pump inhibitor, rifaximin, and lactulose use, but the regression model (sensitivity, 0.67; specificity, 0.63) was not robust. Age, alcohol etiology, admission MELD score, lactulose use, acute-on-chronic liver failure, acute kidney injury, intensive care unit, and NI increased the risk of death, whereas rifaximin decreased the risk of death.DiscussionNIs are prevalent in hospitalized patients with cirrhosis and are associated with poor outcomes. Although higher MELD scores and systemic inflammatory response syndrome are associated with NI, all hospitalized patients with cirrhosis require vigilance and preventive strategies.

We hypothesize that the prevalence of chronic kidney disease (CKD) among patients with cirrhosis has increased due to the increased prevalence of CKD-associated comorbidities, such as diabetes. We aimed to assess the characteristics of hospitalized patients with cirrhosis with CKD and its impact on renal and patient outcomes. The North American Consortium for the Study of End-Stage Liver Disease (NACSELD) prospectively enrolled nonelectively admitted patients with cirrhosis and collected data on demographics, laboratory results, in-hospital clinical course, and postdischarge 3-month outcomes. CKD positive (CKD+) patients, defined as having an estimated glomerular filtration rate (eGFR; Modification of Diet in Renal Disease-4 variable formula) of ≤60 mL/minute for >3 months, were compared with chronic kidney disease negative (CKD-) patients for development of organ failures, hospital course, and survival. There were 1099 CKD+ patients (46.8% of 2346 enrolled patients) who had significantly higher serum creatinine (2.21 ± 1.33 versus 0.83 ± 0.21 mg/dL in the CKD- group) on admission, higher prevalence of nonalcoholic steatohepatitis cirrhosis etiology, diabetes, refractory ascites, and hospital admissions in the previous 6 months compared with the CKD- group (all P

BackgroundHepatic encephalopathy (HE) can adversely affect outcomes in both in-patients and out-patients with cirrhosis.AimTo define targets for improving quality of care in HE management in the multi-centre North American Consortium for End-Stage Liver Disease (NACSELD) cohort.MethodNACSELD in-patient cohort was analysed for (a) medication-associated precipitants, (b) aspiration pneumonia development, (c) HE medication changes, and (d) 90-day HE recurrence/readmissions. Comparisons were made between patients on no-therapy, lactulose only, rifaximin only or both. Ninety-day HE-readmission analysis was adjusted for MELD score.ResultsTwo thousand eight hundred and ten patients (1102 no-therapy, 659 lactulose, 154 rifaximin, 859 both) were included. HE on admission, and HE rates during hospitalisation were highest in those on lactulose only or dual therapy compared to no-therapy or rifaximin only (P

Acute-on-chronic liver failure (ACLF) characterized with ≥2 extrahepatic organ failures in cirrhosis carries a high mortality. Outcomes of patients listed for liver transplantation (LT) after ACLF and after LT are largely unknown. The North American Consortium for the Study of End-Stage Liver Disease prospectively enrolled 2793 nonelectively hospitalized patients with cirrhosis; 768 were listed for LT. Within 3 months, 265 (35%) received a LT, 395 remained alive without LT, and 108 died/delisted. Compared with nonlisted patients, those listed were younger and more often had ACLF, acute kidney injury, and a higher admission Model for End-Stage Liver Disease (MELD) score. ACLF was most common in patients who died/delisted, followed by those alive with and without LT respectively, (30%, 22%, and 7%, respectively; P

ObjectivesAntibiotic prophylaxis is recommended for prevention of the first episode of spontaneous bacterial peritonitis (SBP; primary prophylaxis 1°) and subsequent episodes (secondary prophylaxis 2°). We aimed to compare outcomes in cirrhotic inpatients on 1° vs 2° SBP prophylaxis.MethodsData from North American Consortium for the Study of End-Stage Liver Disease were evaluated for cirrhosis details, reasons for admission/medications, inpatient course recorded, and outcomes over 90 days. Outcomes (intensive care units, acute kidney injury, inpatient/90-day mortality) were compared between the 2 groups after propensity-matching on admission model for end-stage liver disease (MELD) score and serum albumin.ResultsAmong the 2,731 patients enrolled, 305 were on 1° and 187 on 2° SBP prophylaxis. After propensity-matching, 154 patients remained in each group. Patients on 1° prophylaxis were more likely to have admission systemic inflammatory response syndrome (P = 0.02), with higher intensive care unit admissions (31% vs 21%; P = 0.05) and inpatient mortality (19% vs 9%; P = 0.01) than the 2° prophylaxis group. Patients on 2° prophylaxis had higher total (22% vs 10%; P = 0004), readmission (16% vs 9%; P = 0.03), and nosocomial (6% vs 0.5%; P = 0.01) SBP rates with predominant Gram-negative organisms compared to 1° prophylaxis patients. At 90 days, 1° prophylaxis patients had a higher mortality (35% vs 22%; P = 0.02) and acute kidney injury incidence (48% vs 30%; P = 0.04) compared to 2° prophylaxis patients.DiscussionIn this inpatient cirrhosis study, despite prophylaxis, a high proportion of patients developed SBP, which was associated with mortality. Cirrhotic inpatients on 1° prophylaxis had worse outcomes than those on 2° prophylaxis when propensity-matched for the MELD score and serum albumin during the index admission and 90-day follow-up.

Recognizing the importance of timely guidance regarding the rapidly evolving field of hepatitis C management, the American Association for the Study of Liver Diseases (AASLD) and the Infectious Diseases Society of America (IDSA) developed a web-based process for the expeditious formulation and dissemination of evidence-based recommendations. Launched in 2014, the hepatitis C virus (HCV) guidance website undergoes periodic updates as necessitated by availability of new therapeutic agents and/or research data. A major update was released electronically in September 2017, prompted primarily by approval of new direct-acting antiviral agents and expansion of the guidance's scope. This update summarizes the latest release of the HCV guidance and focuses on new or amended recommendations since the previous September 2015 print publication. The recommendations herein were developed by volunteer hepatology and infectious disease experts representing AASLD and IDSA and have been peer reviewed and approved by each society's governing board.