ABSTRACT Background and Aims Steroid supplementation remains controversial in septic shock, partly due to the heterogeneity of the populations studied. Cirrhotic patients with sepsis frequently develop relative adrenal insufficiency, showing poor response to vasopressors and poor prognosis. Early administration of low‐dose hydrocortisone might facilitate shock reversal and reduce mortality in this population. Methods Double‐blind, randomised, placebo‐controlled multicentre trial, enrolling adult cirrhotic patients with septic shock. Patients were assigned to receive i.v. hydrocortisone (100 mg followed by a continuous infusion of 200 mg/24 h) or placebo, for at least 3 days, followed by a tapering period of 3–7 days, depending on the time of shock resolution. Primary endpoint was 28‐day all‐cause mortality. Results After enrolment of 83 patients the trial was stopped early due to slow inclusions. Most patients required low‐to‐moderate doses of vasopressors. There was no difference in 28‐day mortality (35% vs. 39.5%; p = 0.84) between hydrocortisone and placebo groups. Shock resolution (85% vs. 72.1%; p = 0.25) and days to shock resolution [3 days (2.2–4; IQR) vs. 4 (2–7.5; IQR)] were also similar between groups. More patients receiving placebo died of refractory shock (47.6% vs. 8.7%). No significant differences between treatment arms were observed in shock relapse, new shock episodes or bacterial or fungal superinfections during hospital stay. Hypo‐ and hyperglycaemias were more frequent in the hydrocortisone arm. Severity of ACLF at inclusion and inadequacy of empirical antibiotic therapy (HR = 6.40; 95% CI: 3.21–12.79) independently predicted 28‐day mortality. Conclusions Supplemental hydrocortisone did not improve short‐term survival in cirrhotic patients with septic shock requiring low‐to‐moderate doses of vasopressors. Trial Registration S‐number University Hospitals Leuven, Belgium: S55168; EUDRACT: 2010–024273‐38; Clinicaltrials.gov id: NCT02602210
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/.