ArticleAlimentary pharmacology & therapeutics2025
Predicting Hepatic Decompensation in Patients With Metabolic Dysfunction Associated Steatotic Liver Disease-Related Cirrhosis: The ABID-LSM Model.
Article in Alimentary pharmacology & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Noninvasive Tests for Predicting Decompensation in Compensated Advanced Chronic Liver Disease: A Comprehensive Review.Liver international : official journal of the International Association for the Study of the Liver · 2026Review
- Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension.World journal of gastroenterology · 2026Article
- Kidney-alone transplantation in prior SLK candidates: a national registry analysis.Transplant international : official journal of the European Society for Organ Transplantation · 2026Article
- Liver stiffness measurement-based risk score for predicting liver decompensation risk: a single-center retrospective Chinese study.Clinical and experimental medicine · 2025Article
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15 authors.
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Abstract
BACKGROUND &
aimsPredicting the risk of hepatic decompensation guides prognostication and therapy; however, it is challenging in patients with cirrhosis due to metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to improve a previously developed predictive tool of hepatic decompensation in MASLD cirrhosis (ABIDE) by incorporating liver stiffness measurement (LSM).
methodsA multi-centre retrospective cohort of patients with compensated cirrhosis due to MASLD was identified, with decompensation incidence assessed using competing risk regression. The prognostic accuracy of a modified ABIDE model incorporating LSM (ABID-LSM) was assessed using time-dependent AUC (tAUC) and compared with other predictive models.
resultsOut of 388 patients, 273 (70.4%) had available LSM. Hepatic decompensation occurred in 54 (20%) patients during follow-up (median 31 months, range: 20-60). The predictive accuracy at 5 years of ABID-LSM (tAUC 0.80) was better than ABIDE (tAUC 0.75, p = 0.03) and LSM (tAUC 0.63, p < 0.001). The ABID-LSM model calibrated well (slope 0.99) with excellent overall performance (Integrated Brier Score 0.15). A cut-off of 8.1 separated those at high and low risk of hepatic decompensation at 5 years (24% vs. 5%, respectively, sHR = 4.8, p < 0.001). The ABID-LSM model had better predictive ability at 5 years than ALBI, FIB-4, NAFLD Decompensation Risk Score and ANTICIPATE models (all p < 0.001) as well as hepatic vein pressure gradient measurement (tAUC 0.78 vs. 0.71, p < 0.001, n = 60).
conclusionsThe ABID-LSM model has greater accuracy in predicting hepatic decompensation in patients with cirrhosis due to MASLD than existing predictive models. If externally validated, ABID-LSM may identify those who benefit from pharmacotherapy and close monitoring.
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