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Multicenter Study
. 2025 Apr;23(5):785-796.
doi: 10.1016/j.cgh.2024.07.045. Epub 2024 Oct 2.

acFibroMASH Index for the Diagnosis of Fibrotic MASH and Prediction of Liver-related Events: An International Multicenter Study

Gong Feng  1 Ferenc E Mózes  2 Dong Ji  3 Sombat Treeprasertsuk  4 Takeshi Okanoue  5 Toshihide Shima  5 Huiqing Liang  6 Emmanuel Tsochatzis  7 Jinjun Chen  8 Jörn M Schattenberg  9 Christian Labenz  9 Sanjiv Mahadeva  10 Wah Kheong Chan  10 Xiaoling Chi  11 Adèle Delamarre  12 Victor de Lédinghen  12 Salvatore Petta  13 Elisabetta Bugianesi  14 Hannes Hagström  15 Jérôme Boursier  16 José Luis Calleja  17 George Boon-Bee Goh  18 Rocio Gallego-Durán  19 Arun J Sanyal  20 Jian-Gao Fan  21 Laurent Castéra  22 Michelle Lai  23 Stephen A Harrison  24 Manuel Romero-Gomez  19 Seung Up Kim  25 Yongfen Zhu  26 Geraldine Ooi  27 Junping Shi  28 Masato Yoneda  29 Atsushi Nakajima  29 Jing Zhang  30 Monica Lupsor-Platon  31 Bihui Zhong  32 Jeremy F L Cobbold  33 Chun-Yan Ye  34 Peter J Eddowes  35 Philip Newsome  36 Jie Li  37 Jacob George  38 Fangping He  39 Myeong Jun Song  40 Hong Tang  41 Yuchen Fan  42 Jidong Jia  43 Liang Xu  44 Su Lin  45 Yiling Li  46 Zhonghua Lu  47 Yuemin Nan  48 Junqi Niu  49 Xuebing Yan  50 Yongjian Zhou  51 Chenghai Liu  52 Hong Deng  53 Qing Ye  54 Qing-Lei Zeng  55 Lei Li  56 Jing Wang  57 Song Yang  58 Huapeng Lin  59 Hye Won Lee  25 Terry Cheuk-Fung Yip  59 Céline Fournier-Poizat  60 Grace Lai-Hung Wong  59 Grazia Pennisi  13 Angelo Armandi  14 Wen-Yue Liu  61 Ying Shang  62 Marc de Saint-Loup  63 Elba Llop  17 Kevin Kim Jun Teh  18 Carmen Lara-Romero  19 Amon Asgharpour  20 Sara Mahgoub  64 Mandy Sau-Wai Chan  60 Clemence M Canivet  16 Fanpu Ji  65 Yongning Xin  66 Jin Chai  67 Zhiyong Dong  68 Giovanni Targher  69 Christopher D Byrne  70 Na He  71 Man Mi  72 Feng Ye  73 Vincent Wai-Sun Wong  74 Michael Pavlides  75 Ming-Hua Zheng  76
Affiliations
Multicenter Study

acFibroMASH Index for the Diagnosis of Fibrotic MASH and Prediction of Liver-related Events: An International Multicenter Study

Gong Feng et al. Clin Gastroenterol Hepatol. 2025 Apr.

Abstract

Background & aims: Metabolic dysfunction-associated steatohepatitis (MASH) and fibrotic MASH are significant health challenges. This multi-national study aimed to validate the acMASH index (including serum creatinine and aspartate aminotransferase concentrations) for MASH diagnosis and develop a new index (acFibroMASH) for non-invasively identifying fibrotic MASH and exploring its predictive value for liver-related events (LREs).

Methods: We analyzed data from 3004 individuals with biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD) across 29 Chinese and 9 international cohorts to validate the acMASH index and develop the acFibroMASH index. Additionally, we utilized the independent external data from a multi-national cohort of 9034 patients with MASLD to examine associations between the acFibroMASH index and the risk of LREs.

Results: In the pooled global cohort, the acMASH index identified MASH with an area under the receiver operating characteristic curve (AUROC) of 0.802 (95% confidence interval [CI], 0.786-0.818). The acFibroMASH index (including the acMASH index plus liver stiffness measurement) accurately identified fibrotic MASH with an AUROC of 0.808 in the derivation cohort and 0.800 in the validation cohort. Notably, the AUROC for the acFibroMASH index was 0.835 (95% CI, 0.786-0.882), superior to that of the FAST score at 0.750 (95% CI, 0.693-0.800; P < .01) in predicting the 5-year risk of LREs. Patients with acFibroMASH >0.39 had a higher risk of LREs than those with acFibroMASH <0.15 (adjusted hazard ratio, 11.23; 95% CI, 3.98-31.66).

Conclusions: This multi-ethnic study validates the acMASH index as a reliable, noninvasive test for identifying MASH. The newly proposed acFibroMASH index is a reliable test for identifying fibrotic MASH and predicting the risk of LREs.

Keywords: Diagnosis; Fibrotic Metabolic-associated Steatohepatitis; Liver-related Events.

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