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

• Tác giả: Juan G Abraldes, Mohamad Ali Ibrahim, Mustafa Al-Karaghouli, Juan Pablo Arab, Jorge Arnold, Marco Arrese, Gustavo Ayares, Ramon Bataller, Joaquín Cabezas, Meritxell Ventura Cots, Luis Antonio Díaz, Winston Dunn, Victor Echavarría, Mohamed A Elfeki, Guadalupe García-Tsao, Daniela Goyes, Leonardo Guizzetti, Daniel J Havaj, Francisco Idalsoaga, Alvi H Islam, Prasun K Jalal, Patrick S Kamath, María Fátima Higuera-De La Tijera, Gurpreet Mahli, Rakhi Maiwall, Heer Mehta, Rokhsana Mortuza, Steve Qian, Carolina Ramirez-Cadiz, Diego Rincón, Shiv K Sarin, Svetlana Adamcova Selcanova, Vijay H Shah, Douglas Simonetto, Ashwani K Singal, Lubomir Skladaný, Karolina Sulejova, Wei Zhang
• Ngôn ngữ: eng
• Ký hiệu phân loại: 627.12 Rivers and streams
• Thông tin xuất bản: England : Alimentary pharmacology & therapeutics , 2025
• Bộ sưu tập: NCBI
• ID: 208657

Tóm tắt

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.