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. 2025 Nov 13.
doi: 10.1097/HEP.0000000000001617. Online ahead of print.

Predictors of fibrosis, clinical events and mortality in MASLD: Data from the Global-MASLD study

Zobair M Younossi  1   2 Leyla de Avila  1   2 Salvatore Petta  1   3 Hannes Hagström  1   4 Seung Up Kim  1   5 Atsushi Nakajima  1   6 Javier Crespo  1   7 Laurent Castera  1   8 Naim Alkhouri  1   9 Ming-Hua Zheng  1   10 Sombat Treeprasertsuk  1   11 Prooksa Ananchuensook  1   11 Shalimar  1   12 Emmanuel Tsochatzis  1   13 Shenoy Kotacherry Trivikrama  1   14 Leena Kondarappassery Balakumaran  1   15 Jian-Gao Fan  1   16 Stuart K Roberts  1   17 Khalid Alswat  1   18 Vincent Wai-Sun Wong  1   19 Yusuf Yilmaz  1   20 Winston Dunn  21 Sven Francque  1   22 Ahmed Cordie  1   23 Ming-Lung Yu  1   24 Mattias Ekstedt  25 George Boon-Bee Goh  1   26 Claudia P Oliveira  1   27 Mario Guimaraes Pessoa  1   28 Wah Kheong Chan  1   29 Marlen Ivon Castellanos Fernandez  1   30 Ajay Duseja  1   31 Juan Pablo Arab  1   32 George Papatheodoridis  1   33 Giada Sebastiani  1   34 Cristiane Villela-Nogueira  1   35 Roberta D'Ambrosio  36 Pietro Lampertico  1   36 Khalid Alnaamani  1   37 A G Holleboom  1   38 Arun Valsan  1   39 Arathi Venu  39 Mohamed El-Kassas  1   40 Grazia Pennisi  3 Ying Shang  41 Wen-Yue Liu  10 Hye Won Lee  5 Takashi Kobayashi  6 Satoru Kakizaki  1   42 Cyrielle Caussy  1   43 Brian Pearlman  1   44 Paula Iruzubieta  7 Rida Nadeem  9 Felice Cinque  34 Antonia Neonaki  33 Mirko Zoncapé  45 Rui-Xu Yang  16 Sherlot Juan Song  19 Nicholas Dunn  21 Zouhir Gadi  22 Ming-Lun Yeh  46 Kevin Kim-Jun The  26 Sanjiv Mahadeva  29 Licet Gonzalez Fabian  47 Ahmed Almohsen  48 Nathalie Leite  35 Nicola Pugliese  49 Johan Vessby  50 Chencheng Xie  51 Narendra Singh Choudhary  52 Ethan Friend  53 Maria Poca  54 Takumi Kawaguchi  1   55 Francesco Paolo Russo  56 Adrian Gadano  1   57 Luis Antonio Diaz  1   58 Ashwani K Singal  1   59 Berenice Segrestin  1   43 Nadege Gunn  1   53 Didac Mauricio  1   60 Marco Arrese  1   61 Anna Fracanzani  62 Brian Lam  1   2 Andrei Racila  1   2 Saleh A Alqahtani  1   63 Maria Stepanova  1   2   64 Global NASH/MASH Council (GNC)
Affiliations

Predictors of fibrosis, clinical events and mortality in MASLD: Data from the Global-MASLD study

Zobair M Younossi et al. Hepatology. .

Abstract

Background: Advanced histologic fibrosis is a major predictor of mortality in metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to identify advanced fibrosis clinical determinants across diverse MASLD populations and to assess the prognostic value of non-invasive markers (NITs) of fibrosis for adverse outcomes.

Methods: The Global MASLD (G-MASLD) enrolled biopsy-confirmed MASLD patients with clinical, histologic, and non-invasive test (NIT) data. Factors associated with the presence of advanced histologic fibrosis (F3-F4) in MASLD and clinical outcomes were assessed.

Results: There were 17,792 MASLD patients. Advanced fibrosis (≥F3) was present in 35%. The prevalence of type 2 diabetes (T2D) increased stepwise with fibrosis stage, from 28% in F0 to 70% in F4 (trend p<0.0001). Independent predictors of advanced fibrosis included older age, T2D, and obesity, although the association with obesity varied by region. Among patients with follow-up (mean 6.6 y), 6.5% died and 10.1% experienced a clinical event. Older age, male sex, T2D, and obesity were independent predictors of both mortality and clinical events (p<0.05). Fibrosis severity, whether defined histologically or by NITs, was strongly associated with higher risks of death and liver-related outcomes (all aHR>1.0, p<0.001). Five-year mortality was 2.1% overall, rising to 8.3% in patients with cirrhosis, and exceeded 10% among those with high-risk NIT score values.

Conclusions: In this large global biopsy-based MASLD cohort, advanced fibrosis was highly prevalent and strongly linked to T2D. Both histologic fibrosis and NITs were independent predictors of mortality and clinical outcomes, underscoring the prognostic value of fibrosis assessment with non-invasive tests.

Keywords: biomarkers; chronic liver disease; diagnostic thresholds; metabolic syndrome; non-communicable diseases; outcomes; steatohepatitis; steatotic liver disease.

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