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GRAZIA PENNISI

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

  • Autori: Chun, H.S.; Lee, M.; Lee, H.A.; Park, E.S.; Choi, J.Y.; Baek, H.S.; Kim, T.H.; Lin, H.; Cheuk-Fung Yip, T.; Lee, H.W.; Tsochatzis, E.; Petta, S.; Bugianesi, E.; Yoneda, M.; Zheng, M.-.; Hagstrom, H.; Boursier, J.; Calleja, J.L.; Boon-Bee Goh, G.; Chan, W.-.; Gallego-Duran, R.; Sanyal, A.J.; De Ledinghen, V.; Newsome, P.N.; Fan, J.-.; Castera, L.; Lai, M.; Harrison, S.; Fournier-Poizat, C.; Lai-Hung Wong, G.; Pennisi, G.; Armandi, A.; Nakajima, A.; Liu, W.-.; Shang, Y.; de Saint-Loup, M.; Llop, E.; Jun Teh, K.K.; Lara-Romero, C.; Asgharpour, A.; Mahgoub, S.; Sau-Wai Chan, M.; Romero-Gomez, M.; Wai-Sun Wong, V.; Kim, S.U.
  • Anno di pubblicazione: 2025
  • Tipologia: Articolo in rivista
  • OA Link: http://hdl.handle.net/10447/692496

Abstract

Background and 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.