Aim: Advanced hepatic fibrosis is seen in individuals with potential hepatocellular carcinoma and cardiovascular disease. Hepatic fibrosis can be assessed using a combination of the FIB-4 index and imaging modalities, including shear wave elastography. We aimed to investigate the prevalence of advanced fibrosis in the general population and the profiles associated with advanced fibrosis using a data-mining analysis.
Methods: We enrolled 1155 health checkup examinees (median age 53 years, 685 women, 470 male). Advanced fibrosis was defined by FIB-4 index ≥1.3 and liver stiffness ≥8.07 kPa using shear wave elastography. Participants were classified as normal-mild fibrosis (n = 1035) or advanced fibrosis (n = 120). Factors associated with advanced fibrosis were analyzed by logistic regression and decision-tree analyses.
Results: Advanced fibrosis was observed in 10.4% of participants (120/1155). In the logistic regression analysis, independent factors for advanced fibrosis were age (≥75 years; OR 2.12, 95% CI 1.021-4.415; P = 0.0419) and the presence of metabolic syndrome (OR 2.51, 95% CI 1.416-4.462; P = 0.0017). The decision-tree analysis showed two profiles associated with advanced fibrosis: profile 1 - individuals aged ≥65 years with metabolic syndrome and mild-to-moderate alcohol consumption (prevalence of advanced fibrosis 73.3%); and profile 2 - individuals without metabolic syndrome, aged ≥75 years, with no exercise habit (prevalence of advanced fibrosis 56.3%).
Conclusions: Advanced fibrosis was observed in 10.4% of health checkup examinees. Furthermore, we showed that aging, metabolic syndrome with mild-to-moderate alcohol consumption, and physical inactivity were associated with advanced fibrosis. Thus, prevention of metabolic syndrome and alcohol withdrawal, as well as exercise habits, might inhibit the progression of hepatic fibrosis.
Keywords: 2-D shear wave elastography; data-mining analysis; lifestyle; liver stiffness; non-invasive test algorithm.
© 2019 The Japan Society of Hepatology.