High Steatosis-Associated Fibrosis Estimator scores predict hepatocellular carcinoma in viral and non-viral hepatitis and metabolic dysfunction-associated steatotic liver disease

Abstract

Background/Aims: There are no hepatocellular carcinoma (HCC) surveillance recommendations for non-viral chronic liver diseases (CLD), such as metabolic dysfunction-associated steatotic liver disease (MASLD). We explored the Steatosis-Associated Fibrosis Estimator (SAFE) score to predict HCC in MASLD and other CLD etiologies. Methods: Patients with various CLDs were included from medical centers in Taiwan. The SAFE score, consisting of age, body mass index, diabetes, and laboratory data, was calculated at baseline, and patients were traced for new development of HCC. The predictability of the SAFE score for HCC was analyzed using the sub-distribution hazard model with adjustments for competing risks. Results: Among 12,963 CLD patients with a median follow-up of 4 years, 258 developed HCC. The SAFE score classifies 1-, 3-, and 5-year HCC risk regardless of CLD etiologies. High (≥100) and intermediate (0–100) SAFE scores increased 11 and 2 folds HCC risks compared to low (<0) SAFE scores. Combining two lower risk tiers (SAFE<100), a high SAFE score (≥100) was associated with a 7.5-fold risk of HCC (adjusted sub-distributional hazard ratio [aSHR] 7.54; 95% confidence interval (CI) 5.38–10.60). A high SAFE score increased the risks of HCC in subgroups of viral hepatitis, non-viral hepatitis (aSHR 11.10; 95% CI 3.97–31.30) and MASLD (aSHR 4.23; 95% CI 1.43–12.50). A hospital cohort (n=8,103) and a community MASLD cohort (n=120,166) validated the high SAFE score (≥100) for HCC risk prediction. Conclusions: The SAFE score stratifies high risks for HCC in CLD patients regardless of etiologies and helps to select at-risk candidates for HCC surveillance.