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BACKGROUND AND AIMS: Intestinal inflammation assessed by fecal calprotectin (F-CAL) in advanced chronic liver disease (ACLD) may represent an early sign of intestinal barrier dysfunction. We aimed to explore the usefulness of F-CAL testing in ACLD in the prediction of adverse outcomes (AO, death, or LT) and refinement of prognostic stratification. PATIENTS AND METHODS: We explored the RH7 cirrhosis registry comprising consecutive hospitalized patients and a control group with data on disease phenotype, demographics, anthropometrics, prognostic indices, and medication. The F-CAL was evaluated on admission and reported in multiples of the upper limit of normal or terciles. Predictive power was tested in the Cox model for AO over 180 days. Additional risk refinement by F-CAL was tested for both groups. RESULTS: We enrolled 263 cases in the study group with a median age of 57.2 years, M/F ratio 167/96, with alcohol, metabolic dysfunction-associated steatotic liver disease, MetALD, and viral etiologies in 72.2%, 9.1, 8.0, 3.4%. The median F-CAL was 3.92 × ULN. The control group comprised 108 cases. The adjusted Cox model confirmed F-CAL (hazard ratio [HR] = 1.05, p < 0.001) and F-CAL terciles (HR = 1.413, p = 0.009) as independent predictors of AO. F-CAL terciles had higher predictive accuracy in CLIF-C-AD<50 (HR = 2.49, p = 0.013) and Child stages A and B (HR = 1.706, p = 0.025), in whom high F-CAL (cut-off >11 × ULN) could identify patients having 2-3 times higher risk of AO. This approach has been validated in the control group. CONCLUSION: Among hospitalized patients with ACLD, F-CAL values were independently proportional to the risk of AO, particularly in early disease stages when high F-CAL values could refine prognostic stratification.
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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/ .
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BACKGROUND: Alcohol-associated hepatitis (AH) is a severe inflammatory form of alcohol-associated liver disease (ALD) that carries a high mortality rate. Early liver transplantation for severe AH is increasingly available. However, specific criteria for referral and selection remain a subject of debate. AIMS: To provide a narrative review of the natural history, diagnostic criteria and indications for referral for early liver transplantation for severe AH. METHODS: We searched PubMed for articles published through August 2023. Key search terms were 'alcoholic hepatitis,' 'alcohol-associated hepatitis,' 'abstinence,' 'alcohol relapse,' and 'liver transplantation.' RESULTS: Previously, a six-month period of alcohol abstinence was required before patients with ALD were considered for liver transplantation. However, studies in recent years have demonstrated that, among carefully selected patients, patients who received early transplants have much higher survival rates than patients with similarly severe disease who did not undergo transplants (77% vs. 23%). Despite these successes, early liver transplantation remains controversial, as these patients have typically not undergone treatment for alcohol use disorder, with the ensuing risk of returning to alcohol use. CONCLUSIONS: While early liver transplantation for AH has survival benefits, many patients would not have received treatment for alcohol use disorder. An integrated approach to evaluating candidacy for early liver transplantation is needed.
