Computed Tomography Findings as a Novel Predictor of Alcohol-Associated Hepatitis Outcomes

Abstract

Background Accurate prediction of outcomes for alcohol-associated hepatitis (AH) is critical, as prognosis determines treatment eligibility. Computed tomography (CT) features may provide prognostic information beyond traditional models. Aims Our aim was to identify CT features that predict outcomes in AH. Methods We studied 108 patients retrospectively with definite or probable AH, who underwent admission abdominal CT. A radiologist blinded to outcome evaluated eight CT features. The primary outcome was 90-day mortality. Results Twenty-five (23.2%) patients died within 90\xa0days. While traditional prognostic tools, including Maddrey discriminant function (DF), predicted 90-day mortality (OR 1.01 [1.00, 1.03], P \u2009=\u20090.02), abdominal CT findings were also accurate predictors. On abdominal CT, patients with severe AH had larger volume of ascites (moderate/large volume: 34.0 vs. 8.2%, P \u2009<\u20090.0001), longer liver length (17.1 vs. 15.1\xa0cm, P \u2009=\u20090.001), greater liver heterogeneity (moderate/severe: 21.3 vs. 8.2%, P \u2009=\u20090.007), and more likely to have splenomegaly (42.6 vs. 18.0%, P \u2009=\u20090.009) than those with mild AH. Univariate analysis revealed that ascites volume (OR 2.59 [1.35, 4.96], P \u2009=\u20090.004) predicted 90-day mortality. In multivariate analysis, degree of ascites predicted 90-day mortality when controlling for Maddrey DF (OR 2.36 [1.19, 4.69], P \u2009=\u20090.01) and trended toward significance when controlling for MELD score (OR 2.02 [0.95, 4.30], P \u2009=\u20090.07). Conclusion CT findings in AH differentiate disease severity and predict 90-day mortality; therefore, the role of CT warrants further investigation as a tool in AH management.