A new algorithm has been developed to non-invasively identify patients with nonalcoholic steatohepatitis (NASH) at risk of progression to cirrhosis. Using a derivation cohort of 350 patients with suspected nonalcoholic fatty liver disease, the best-fitting multivariable logistic regression model predicting NASH was established, using measurements of liver stiffness by FibroScan and serum aspartate aminotransferase (AST) levels. This score, named FAST (FibroScan–AST), performed well in both the derivation dataset as well as in external validation cohorts (n = 1,026), and could reduce unnecessary liver biopsies.
Newsome, P. N. et al. FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol. Hepatol. https://doi.org/10.1016/S2468-1253(19)30383-8 (2020)
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Dickson, I. FAST identification of NASH progression. Nat Rev Gastroenterol Hepatol 17, 194 (2020). https://doi.org/10.1038/s41575-020-0278-8