Global performance of non-invasive tests in MASLD: Insights from the G-MASLD study

医学 跨国公司 纤维化 领域(数学) 计算机科学 风险分析(工程) 计量经济学 梅德林 可靠性工程 统计
作者
Zobair M. Younossi,Leyla de Avila,Salvatore Petta,Hannes Hagström,Seung Up Kim,Atsushi Nakajima,Javier Crespo,Laurent Castéra,Naim Alkhouri,Ming‐Hua Zheng,Sombat Treeprasertsuk,Prooksa Ananchuensook,S. Shalimar,Emmanuel Tsochatzis,Shenoy Kotacherry Trivikrama,Leena Kondarappassery Balakumaran,Jian‐Gao Fan,Stuart K. Roberts,Khalid Alswat,Vincent Wai‐Sun Wong
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
被引量:7
标识
DOI:10.1097/hep.0000000000001564
摘要

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent worldwide. Performance of non-invasive tests (NITs) in patients with MASLD recruited from different regions of the world was evaluated. METHODS: MASLD patients with liver biopsies and NIT data [fibrosis-4 index (FIB-4), enhanced liver fibrosis (ELF), and liver stiffness measurement (LSM)] were enrolled through the Global NASH Council collaboration (G-MASLD). FibroScan-AST (FAST) and Agile-3+/Agile-4 were calculated. NITs' performance for predicting ≥F2 (significant fibrosis), ≥F3 (advanced fibrosis), or cirrhosis (F4) was determined in patients from different regions. RESULTS: A total of 17,792 MASLD patients from 41 countries were included: 14% had F0, 32% F1, 18% F2, 22% F3, 13% F4 (cirrhosis); 48% NAS ≥5. Advanced fibrosis prediction by NITs was variable across regions for FIB-4 [pooled AUC (95% CI)=0.80 (0.79-0.81)], the lowest in Latin America [0.75 (0.71-0.79)], the highest in MENA [0.84 (0.82-0.87)], and ELF [pooled AUC=0.77 (0.76-0.79)], the lowest in Europe [0.72 (0.69-0.76)], the highest in North America [0.80 (0.78-0.82)]. Prediction of advanced fibrosis by LSM [pooled AUC=0.84 (0.83-0.85)] was similar across regions except North America [0.78 (0.76-0.81)]. In addition, FAST [AUC=0.75 (0.74-0.76)] and Agile-3+ [AUC=0.87 (0.86-0.88)] performed similarly across regions. Similar trends were observed for the NITs predicting significant fibrosis. Finally, the accuracy of Agile-4 for predicting cirrhosis [AUC=0.90 (0.89-0.91)] was the lowest in North America [0.85 (0.83-0.87)], the highest in MENA [0.96 (0.94-0.98)]. CONCLUSIONS: The diagnostic performance of common NITs for fibrosis in MASLD varies across the world. In the large multinational G-MASLD sample, the most accurate NITs were Agile-3+ and Agile-4 composite scores.
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