{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:15:30Z","timestamp":1762341330610,"version":"3.40.5"},"reference-count":43,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T00:00:00Z","timestamp":1574208000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100009619","name":"Japan Agency for Medical Research and Development","doi-asserted-by":"publisher","award":["19fk0210040"],"award-info":[{"award-number":["19fk0210040"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Hepatology Research"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:sec><jats:title>Aim<\/jats:title><jats:p>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\u20104 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\u2010mining analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We enrolled 1155 health checkup examinees (median age 53\u00a0years, 685 women, 470 male). Advanced fibrosis was defined by FIB\u20104 index \u22651.3 and liver stiffness \u22658.07\u00a0kPa using shear wave elastography. Participants were classified as normal\u2010mild fibrosis (<jats:italic>n<\/jats:italic>\u00a0=\u20091035) or advanced fibrosis (<jats:italic>n<\/jats:italic>\u00a0=\u2009120). Factors associated with advanced fibrosis were analyzed by logistic regression and decision\u2010tree analyses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Advanced fibrosis was observed in 10.4% of participants (120\/1155). In the logistic regression analysis, independent factors for advanced fibrosis were age (\u226575\u00a0years; OR 2.12, 95% CI 1.021\u20134.415; <jats:italic>P<\/jats:italic>\u00a0=\u20090.0419) and the presence of metabolic syndrome (OR 2.51, 95% CI 1.416\u20134.462; <jats:italic>P<\/jats:italic>\u00a0=\u20090.0017). The decision\u2010tree analysis showed two profiles associated with advanced fibrosis: profile\u00a01 \u2013 individuals aged \u226565\u00a0years with metabolic syndrome and mild\u2010to\u2010moderate alcohol consumption (prevalence of advanced fibrosis 73.3%); and profile\u00a02 \u2013 individuals without metabolic syndrome, aged \u226575\u00a0years, with no exercise habit (prevalence of advanced fibrosis 56.3%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Advanced fibrosis was observed in 10.4% of health checkup examinees. Furthermore, we showed that aging, metabolic syndrome with mild\u2010to\u2010moderate 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.<\/jats:p><\/jats:sec>","DOI":"10.1111\/hepr.13436","type":"journal-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T21:08:38Z","timestamp":1571692118000},"page":"199-213","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Profiles of advanced hepatic fibrosis evaluated by FIB\u20104 index and shear wave elastography in health checkup examinees"],"prefix":"10.1111","volume":"50","author":[{"given":"Sakura","family":"Yamamura","sequence":"first","affiliation":[{"name":"Division of Gastroenterology, Department of Medicine Kurume University School of Medicine  Kurume 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