Abstract
BACKGROUND AND AIMS: The response to corticosteroids and optimal timing for liver transplantation (LT) in patients with autoimmune hepatitis (AIH) remain significant clinical challenges. This study aimed to assess short-term (90-day) mortality in patients with acute AIH (with or without underlying cirrhosis and chronic liver disease) treated with corticosteroids, and to identify factors that predict mortality in this population. METHODS: We conducted a prospective, single-center study between 2022 and 2024, involving patients with histologically confirmed AIH. All patients received corticosteroid treatment and were monitored for various clinical and laboratory parameters on days 3, 7, and 90 after initiating therapy. RESULTS: A total of 104 patients were included in the study, with a mean age of 46.1 ± 14.3 years; 77% of the patients were female. The 90-day mortality rate following the initiation of corticosteroids was 13.47%. Univariate analysis identified several significant predictors of mortality, including older age, diabetes mellitus, cirrhosis, esophageal varices, hepatic encephalopathy, low serum albumin on day 3, model of end-stage liver disease (MELD) scores on days 3 and 7, and the survival and prognostic factors for acute severe autoimmune hepatitis (SURFASA) score (P < 0.05). Multivariate analysis revealed that MELD score on day 7 (odds ratio [OR] 1.25; 95% confidence interval [CI] {1.09-1.48}; P = 0.00) and SURFASA score (OR 7.46; 95% CI {1.05-53.06}; P = 0.04) were significant. Specifically, a MELD score ≥27.5 on day 7 (area under the receiver operating characteristic curve [AUC] = 0.998) with 100% sensitivity and 97.8% specificity, and a SURFASA score ≥ -2.95 (AUC = 0.969) with 100% sensitivity and 95.6% specificity were highly predictive of mortality. CONCLUSION: Despite corticosteroid treatment, mortality rates remain high in the decompensated AIH and acute on chronic liver failure-AIH groups. The SURFASA score, along with MELD scores on days 3 and 7, are strong predictors of mortality and can assist clinicians in making timely decisions regarding referral for early liver transplantation.