Comparison Between Dynamic Models for Predicting Response to Corticosteroids in Alcohol‐Associated Hepatitis: A Global Cohort Study

作者：Francisco Idalsoaga, Luis Antonio Díaz, Leonardo Guizzetti, Winston Dunn, Heer H. Mehta, Jorge Arnold, Gustavo Ayares, Rokhsana Mortuza, Gurpreet Mahli, Alvi H. Islam, Shiv Kumar Sarin, Rakhi Maiwall, Wei Zhang, Steve Qian, Douglas A. Simonetto, Ashwani K. Singal, Mohamed A. Elfeki, Carolina Ramírez, Joaquín Cabezas, Victor Echavarría, Meritxell Ventura‐Cots, Fátima Higuera‐de‐la‐Tijera, Juan G. Abraldeṣ, Mustafa Al‐Karaghouli, Prasun K. Jalal, Mohamad Ali Ibrahim, Guadalupe García‐Tsao, Daniela Goyes, Ľubomír Skladaný, Daniel Ján Havaj, Karolina Sulejova, Světlana Adamcová Selčanová, Diego Rincón, Vijay H. Shah, Patrick S. Kamath, Marco Arrese, Ramón Bataller, Juan Pablo Arab · 发表于：Alimentary Pharmacology & Therapeutics · 年份：2025 · DOI：10.1111/apt.70024 · 被引用次数：4 · 研究领域：Liver Disease Diagnosis and Treatment、Alcohol Consumption and Health Effects、Diet, Metabolism, and Disease

Several dynamic models predict mortality and corticosteroid response in alcohol-associated hepatitis (AH), yet no consensus exists on the most effective model. This study aimed to assess predictive models for corticosteroid response and short-term mortality in severe AH within a global cohort. We conducted a multi-national study of patients with severe AH treated with corticosteroids for at least 7 days, enrolled between 2009 and 2019. Dynamic models-Lille-4, Lille-7, trajectory of serum bilirubin (TSB), and neutrophil-to-lymphocyte ratio (NLR)-were used to estimate 30- and 90-day mortality. Lille-7 demonstrated the highest accuracy for both 30- and 90-day mortality.