Citations

The North American Consortium for the Study of End‐Stage Liver Disease's definition of acute‐on‐chronic liver failure (NACSELD‐ACLF) as two or more extrahepatic organ failures has been proposed as a simple bedside tool to assess the risk of mortality in hospitalized patients with cirrhosis. We validated the NACSELD‐ACLF's ability to predict 30‐day survival (defined as in‐hospital death or hospice discharge) in a separate multicenter prospectively enrolled cohort of both infected and uninfected hospitalized patients with cirrhosis. We used the NACSELD database of 14 tertiary care hepatology centers that prospectively enrolled nonelective hospitalized patients with cirrhosis (n = 2,675). The cohort was randomly split 60%/40% into training (n = 1,605) and testing (n = 1,070) groups. Organ failures assessed were (1) shock, (2) hepatic encephalopathy (grade III/IV), (3) renal (need for dialysis), and (4) respiratory (mechanical ventilation). Patients were most commonly Caucasian (79%) men (62%) with a mean age of 57 years and a diagnosis of alcohol‐induced cirrhosis (45%), and 1,079 patients had an infection during hospitalization. The mean Model for End‐Stage Liver Disease score was 19, and the median Child score was 10. No demographic differences were present between the two split groups. Multivariable modeling revealed that the NACSELD‐ACLF score, as determined by number of organ failures, was the strongest predictor of decreased survival after controlling for admission age, white blood cell count, serum albumin, Model for End‐Stage Liver Disease score, and presence of infection. The c‐statistics were 0.8073 for the training set and 0.8532 for the validation set. Conclusion: Although infection status remains an important predictor of death, NACSELD‐ACLF was independently validated in a separate large multinational prospective cohort as a simple, reliable bedside tool to predict 30‐day survival in both infected and uninfected patients hospitalized with a diagnosis of cirrhosis. (H epatology 2018;67:2367‐2374).

Only a subset of subjects with excessive alcohol consumption develops alcoholic liver disease (ALD). One of the major risk factors for ALD is the genetic variant of the patatin‐like phospholipase domain‐containing protein 3 (PNPLA3) gene. Coffee is one of the most commonly consumed beverages, and coffee consumption has been associated with lower levels of serum alanine aminotransferase. The aim of this study was to investigate the role of coffee drinking and PNPLA3 rs738409 and their association with alcoholic hepatitis (AH) in a well‐characterized cohort of subjects from the Translational Research and Evolving Alcoholic Hepatitis Treatment consortium. AH subjects and heavy drinking controls without a history of liver disease who were enrolled between May 2013 and May 2016 were included (n = 339), and the details of alcohol and coffee consumption were assessed. The PNPLA3 variant was determined among participants of European ancestry (n = 183). Relationships between baseline data and AH status were determined, and multivariable logistic regression modeling was performed. During the study period, 189 cases with AH and 150 heavy drinking controls were prospectively enrolled. The prevalence of regular coffee consumption was significantly lower in patients with AH compared to controls (20% versus 43%; P < 0.0001). The overall minor allele frequency of the PNPLA3 variant was higher in AH cases. Multivariable logistic regression revealed that coffee consumption and PNPLA3 were significantly associated with AH status at baseline after adjusting for relevant patient characteristics. Conclusion: We found a higher prevalence of AH among heavy drinkers with PNPLA3 G/G and G/C genotypes regardless of coffee consumption status and a higher prevalence of AH among heavy drinkers who were not regular coffee drinkers. These findings remained after considering relevant baseline patient characteristics. Further studies are needed to confirm our observation. (Hepatology Communications 2018;2:29–34)

Intestinal dysbiosis is implicated in alcoholic hepatitis (AH). However, changes in the circulating microbiome, its association with the presence and severity of AH, and its functional relevance in AH is unknown. Qualitative and quantitative assessment of changes in the circulating microbiome were performed by sequencing bacterial DNA in subjects with moderate AH (MAH) (n = 18) or severe AH (SAH) (n = 19). These data were compared with heavy drinking controls (HDCs) without obvious liver disease (n = 19) and non–alcohol‐consuming controls (NACs, n = 20). The data were related to endotoxin levels and markers of monocyte activation. Linear discriminant analysis effect size (LEfSe) analysis, inferred metagenomics, and predictive functional analysis using PICRUSt were performed. There was a significant increase in 16S copies/ng DNA both in MAH ( P < 0.01) and SAH ( P < 0.001) subjects. Compared with NACs, the relative abundance of phylum Bacteroidetes was significantly decreased in HDCs, MAH, and SAH ( P < 0.001). In contrast, all alcohol‐consuming groups had enrichment with Fusobacteria ; this was greatest for HDCs and decreased progressively in MAH and SAH. Subjects with SAH had significantly higher endotoxemia ( P = 0.01). Compared with alcohol‐consuming groups, predictive functional metagenomics indicated an enrichment of bacteria with genes related to methanogenesis and denitrification. Furthermore, both HDCs and SAH showed activation of a type III secretion system that has been linked to gram‐negative bacterial virulence. Metagenomics in SAH versus NACs predicted increased isoprenoid synthesis via mevalonate and anthranilate degradation, known modulators of gram‐positive bacterial growth and biofilm production, respectively. Conclusion: Heavy alcohol consumption appears to be the primary driver of changes in the circulating microbiome associated with a shift in its inferred metabolic functions. (H epatology 2018;67:1284‐1302).

The TREAT Consortium has carried out clinical studies on alcoholic hepatitis (AH) for over 4 years. We encountered problems with participant recruitment, retention, and eligibility for specific protocols. To improve our ability to carry out such trials, we reviewed recruitment screening logs, end of study logs, and surveyed study coordinators to learn the reasons for missing patients, why patients declined enrollment, and the number of patients eligible for treatment trials. Associations of the recruited subjects’ demographics with their adherence to follow‐up appointments were examined. Three hundred eight‐seven patients (AH and heavy drinking controls) were enrolled in the observational study, and 55 AH patients were recruited into treatment trials. About half of patients identified with AH could not be recruited; no specific reason could be determined for about two‐thirds of these. Among the patients who gave a reason for not participating, the most common reasons were feeling too sick to participate, desire to concentrate on abstinence, and lack of interest in research. Approximately a quarter of the AH patients met eligibility criteria for treatment trials for moderate or severe AH and we were able to recruit half to two‐thirds of those eligible. Approximately 35% of participants in the observational study returned for both 6‐ and 12‐month follow‐up visits. We did not identify biopsychosocial or demographic correlates of retention in the study. This analysis revealed that attempts at recruitment into trials for AH miss some subjects because of structural issues surrounding their hospital admission, and encounter a high rate of patient refusal to participate. Nonetheless, more than half of the patients who met the eligibility criteria for moderate or severe AH were entered into clinical trials. Retention rates for the observational study are relatively low. These findings need to be accounted for in clinical trial design and power analysis.

Recent population‐based data on nonalcoholic fatty liver disease (NAFLD) epidemiology in general, and incidence in particular, are lacking. We examined trends in NAFLD incidence in a U.S. community and the impact of NAFLD on incident metabolic comorbidities (MCs), cardiovascular (CV) events, and mortality. A community cohort of all adults diagnosed with NAFLD in Olmsted County, Minnesota, between 1997 and 2014 was constructed using the Rochester Epidemiology Project database. The yearly incidence rate were calculated. The impact of NAFLD on incident MCs, CV events, and mortality was studied using a multistate model, with a 4:1 age‐ and sex‐matched general population as a reference. We identified 3,869 NAFLD subjects (median age, 53; 52% women) and 15,209 controls; median follow‐up was 7 (1‐20) years. NAFLD incidence increased 5‐fold, from 62 to 329 in 100,000 person‐years. The increase was highest (7‐fold) in young adults, aged 18‐39 years. The 10‐year mortality was higher in NAFLD subjects (10.2%) than controls (7.6%; P < 0.0001). NAFLD was an independent risk factor for incident MCs and death. Mortality risk decreased as the number of incident MCs increased: relative risk (RR) = 2.16 (95% confidence [CI], 1.41‐3.31), 1.99 (95% CI, 1.48‐2.66), 1.75 (95% CI, 1.42‐2.14), and 1.08 (95% CI, 0.89‐1.30) when 0, 1, 2, or 3 MCs were present, respectively. The NAFLD impact on CV events was significant only in subjects without MCs (RR = 1.96; 95% CI = 1.35‐2.86). NAFLD reduced life expectancy by 4 years, with more time spent in high metabolic burden. Conclusion: Incidence of NAFLD diagnosis in the community has increased 5‐fold, particularly in young adults. NAFLD is a consequence, but also a precursor of MC. Incident MC attenuates the impact of NAFLD on death and annuls its impact on CV disease. (H epatology 2018;67:1726‐1736).

SummaryBackgroundHepatitis E virus (HEV) infection appears to be more common than previously thought. HEV seroprevalence in patients on maintenance haemodialysis (HD) is unclear with a range from 0% to 44%. In addition, risk factors of transmission of HEV in patients on haemodialysis are unknown.AimTo perform a systematic review and meta‐analysis of HEV seroprevalence in HD patients compared with controls.MethodsA systematic search of several databases identified all observational studies with comparative arms. Two reviewers extracted data and assessed the methodological quality. A random‐effects model was used for pooled odds ratio (OR) and 95% confidence interval (CI) of positive anti‐HEV IgG in both groups. Heterogeneity and publication bias were assessed with appropriate tests.ResultsWe identified 31 studies from 17 countries between 1994 and 2016. Sixteen studies were judged to have adequate quality and 15 to have moderate limitations. HEV infection was more prevalent in patients on haemodialysis compared with controls (OR 2.47, 95% CI 1.79‐3.40, I2 = 75.2%, P < .01). We conducted several subgroup analyses without difference in results. Egger regression test did not suggest publication bias (P = .83). Specific risk factors of HEV transmission in patients on haemodialysis were not clearly identified.ConclusionsHepatitis E virus infection is more prevalent in patients on haemodialysis compared with non‐haemodialysis control groups. Further studies are needed to determine risk factors of acquisition, impact on health, and risk for chronic HEV especially among those patients going to receive organ transplantation.

AbstractBackground and AimThis study aims to determine the performance of models adding C‐reactive protein (CRP) and procalcitonin (PCT) to the model of end‐stage liver disease (MELD) score for mortality prediction in patients hospitalized with complications of cirrhosis.MethodsA prospective cohort study was carried out in consecutive cirrhotic patients admitted with complications of cirrhosis between September 2012 and December 2013 at Phramongkutklao Hospital, Bangkok, Thailand. All patients had venous CRP, PCT, and laboratory values for MELD score calculation measured at emergency room or admission. Cox regression analysis and the c‐statistic were used to predict mortality. The MELD‐CRP score was externally validated in 818 eligible patients from Mayo Clinic, Rochester, using data from 1288 cirrhotic patients diagnosed between 2010 and 2014.ResultsA cohort of 177 patients with cirrhosis was admitted during the study period. Seventy‐one patients were eligible for analysis. The MELD score was predictive of 90‐day mortality odds ratio (OR) 1.19 (95% confidence interval [CI] 1.09–1.32). Adding CRP and/or PCT to the MELD score improved the predictive of 90‐day mortality: MELD‐CRP OR 2.71 (95% CI 1.66–4.99); MELD‐PCT OR 2.72 (95% CI 1.66–4.99); MELD‐CRP‐PCT OR 2.71 (95% CI 1.67–4.92). The c‐statistics for MELD, MELD‐CRP, MELD‐PCT, and MELD‐CRP‐PCT were 0.81, 0.83, 0.84, and 0.85, respectively. Adding CRP and/or PCT to the MELD score also improved 30‐day mortality prediction. Similar results for the MELD‐CRP score were obtained from the Mayo Clinic external validation cohort.ConclusionThe MELD‐CRP, MELD‐PCT, and MELD‐CRP‐PCT scores may be superior to the MELD score alone in predicting mortality in patients hospitalized with complications of cirrhosis.

Objective: To report the clinical features, treatment, and outcomes of patients with immune checkpoint inhibitor-induced hepatotoxicity. Patients and Methods: In this retrospective observational study, we identified patients with metastatic malignant melanoma seen in consultation and/or treated between March 2011 and March 2016. Hepatotoxicity was assessed using the Common Terminology Criteria for Adverse Events, v4.0. Results: Seventeen patients were identified as having any degree of hepatotoxicity by history (grade 1 to 4). Twelve of 17 were diagnosed after ipilimumab, 3 of 17 were diagnosed after pembrolizumab, and 2 of 17 after ipilimumab combined with nivolumab. Median time from first dose of immune therapy to hepatotoxicity was 52 days. Clinical symptoms were variable: asymptomatic, fatigue, myalgias, headache, abdominal pain, nausea, vomiting, confusion, and/or jaundice. Eight patients had concurrent adverse events including colitis, hypophysitis, pneumonitis, and/or rash. Immune therapy was discontinued in all patients except 3. The patients were most commonly treated with systemic corticosteroids such as prednisone. Immunosuppression was discontinued by taper over a median of 42 days; in 3 patients steroids had to be reinitiated based on clinical or laboratory worsening of liver tests. Normalization of liver tests was seen within a median of 31 days of immunosuppression initiation. One patient with grade 4 hepatotoxicity had normalization with the addition of cyclosporine. Conclusions: Melanoma patients treated with immune checkpoint inhibitors should be monitored regularly for hepatotoxicity. Treatment with discontinuation of therapy and initiation of corticosteroids is indicated with grade 3 or 4 hepatotoxicity. Cyclosporine may be beneficial in steroid-refractory hepatotoxicity.