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A Novel Risk Prediction Model for Hepatocellular Carcinoma in MASLD: A Multinational, Multicenter Cohort Study

  • Ho Soo Chun
  • , Minjong Lee
  • , Hye Ah Lee
  • , Eun Seo Park
  • , Jeong Yoon Choi
  • , Hyo Song Baek
  • , Tae Hun Kim
  • , Huapeng Lin
  • , Terry Cheuk-Fung Yip
  • , Hye Won Lee
  • , Emmanuel Tsochatzis
  • , Salvatore Petta
  • , Elisabetta Bugianesi
  • , Masato Yoneda
  • , Ming Hua Zheng
  • , Hannes Hagström
  • , Jérôme Boursier
  • , José Luis Calleja
  • , George Boon-Bee Goh
  • , Wah Kheong Chan
  • Rocio Gallego-Durán, Arun J. Sanyal, Victor de Lédinghen, Philip N. Newsome, Jian Gao Fan, Laurent Castéra, Michelle Lai, Stephen Harrison, Céline Fournier-Poizat, Grace Lai-Hung Wong, Grazia Pennisi, Angelo Armandi, Atsushi Nakajima, Wen Yue Liu, Ying Shang, Marc de Saint-Loup, Elba Llop, Kevin Kim Jun Teh, Carmen Lara-Romero, Amon Asgharpour, Sara Mahgoub, Mandy Sau-Wai Chan, Manuel Romero-Gomez, Vincent Wai-Sun Wong, Seung Up Kim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background & Aims It is unclear that which cardiometabolic risk factors (CMRFs) are significantly associated with hepatocellular carcinoma (HCC) development in metabolic dysfunction–associated steatotic liver disease (MASLD). We aimed to develop and validate a novel CMRF-based HCC risk prediction model in MASLD. Methods This multicenter cohort study recruited 77,677 MASLD patients from 20 medical centers in Korea and other Asian and Western countries (2004–2023). A novel CMRF-based HCC risk prediction model (MASLD-HCC score) was developed based on time-varying Cox multivariable analysis in a training cohort (n = 36,800, Korea), which was validated internally (n = 36,799, Korea) and externally (n = 4078, 11 other Asia and Western countries). Results In the training cohort, 71 (0.2%) patients developed HCC (median follow-up 5.1 years). Overweight/obesity or central obesity and prediabetes/diabetes were independently associated with HCC development, along with age, sex, and platelets. The MASLD-HCC score with these 5 risk factors showed a Harrell’s C-index of 0.84 for HCC development, which was maintained in the internal (C-index 0.83) and external validation cohorts (C-index 0.93), and the model was well calibrated. Decision curve analyses showed that patients had positive net benefits from the model. When stratified by the MASLD-HCC score, the risk of HCC development in the high-risk group was significantly higher than the low-risk group (training: subdistribution hazard ratio [sHR], 11.44; 95% confidence interval [CI], 7.10–18.41; internal validation: sHR, 12.36; 95% CI, 7.72–19.79; external validation: sHR, 56.84; 95% CI, 12.88–250.73; all P < .001). Conclusions Overweight/obesity or central obesity and prediabetes/diabetes with fibrotic burden were significantly associated with the increased HCC risk in MASLD. The MASLD-HCC score may enable physicians to stratify the HCC risk.

Original languageEnglish
Pages (from-to)688-700.e17
JournalClinical Gastroenterology and Hepatology
Volume24
Issue number3
DOIs
StatePublished - Mar 2026

Bibliographical note

Publisher Copyright:
© 2026 AGA Institute.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cardiometabolic Risk Factor
  • Hepatocellular Carcinoma
  • Metabolic Dysfunction–Associated Steatotic Liver Disease
  • Risk Prediction Model

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