{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T14:10:00Z","timestamp":1789049400344,"version":"build-2803163510"},"reference-count":28,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Gastro and Hepatol"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Aim<\/jats:title><jats:p>It is unclear whether changes in lipid profile and liver biochemistry are associated with advanced fibrosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients diagnosed with non\u2010alcoholic fatty liver disease (NAFLD) between 2009 and 2017 were included. The changes in blood tests were calculated as follows: [(value at 6\u00a0months\u00a0\u2212\u00a0value at baseline)\/value at baseline]\u00a0\u00d7\u00a0100. The endpoint was advanced fibrosis determined by the NAFLD fibrosis score, calculated every year from diagnosis until 2019. Cox proportional hazards models were used to identify factors predicting advanced fibrosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>After a median follow\u2010up of 31.7 (19.4\u201350.8) months, advanced fibrosis occurred in 64 (6.3%) of 1021 patients. Gamma\u2010glutamyl transpeptidase (GGT) levels (72.9 <jats:italic>vs<\/jats:italic> 51.1\u00a0IU\/L; <jats:italic>P<\/jats:italic>\u00a0=\u00a00.23) and \u0394GGT (+6.0% <jats:italic>vs<\/jats:italic> \u22126.9%; <jats:italic>P<\/jats:italic>\u00a0=\u00a00.06) were higher in the advanced fibrosis group. \u0394GGT (hazard ratio [HR] 1.03; <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.001) was significantly associated with advanced fibrosis after adjusting for age and platelet count. The positive \u0394GGT group showed a higher incidence of advanced fibrosis and the 1\u2010standard deviation increment in \u0394GGT showed a significant association with advanced fibrosis both in statin users (HR, 1.35) and in non\u2010users (HR, 1.31; <jats:italic>P<\/jats:italic>s\u00a0&lt;\u00a00.05). The restricted cubic spline model identified a positive correlation between \u0394GGT and the NAFLD fibrosis scores (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.001). \u0394GGT showed sensitivity of 64.2%, specificity of 52.6%, and negative predictive value of 98.3% in predicting advanced fibrosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>\u0394GGT calculated at 6\u00a0months following NAFLD diagnosis is associated with advanced fibrosis.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jgh.15871","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T10:13:42Z","timestamp":1650881622000},"page":"1624-1632","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Gamma\u2010glutamyl transpeptidase dynamics as a biomarker for advanced fibrosis in non\u2010alcoholic fatty liver disease"],"prefix":"10.1111","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3594-3688","authenticated-orcid":false,"given":"Yeonjung","family":"Ha","sequence":"first","affiliation":[{"name":"Department of Gastroenterology, CHA Bundang Medical Center CHA University  Seongnam\u2010si Gyeonggi\u2010do South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young Eun","family":"Chon","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, CHA Bundang Medical Center CHA University  Seongnam\u2010si Gyeonggi\u2010do South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mi Na","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, CHA Bundang Medical Center CHA University  Seongnam\u2010si Gyeonggi\u2010do South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joo Ho","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, CHA Bundang Medical Center CHA University  Seongnam\u2010si Gyeonggi\u2010do South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seong Gyu","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, CHA Bundang Medical Center CHA University  Seongnam\u2010si Gyeonggi\u2010do South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,5]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.3350\/cmh.2021.0178"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/hep.29367"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2015.11.004"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140\u20106736(08)61076\u20104"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2012.6571"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.113.005873"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00125\u2010012\u20102826\u20104"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2017.04.004"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/hep.21496"},{"key":"e_1_2_7_11_1","unstructured":"HarrellFEJr.R package: \u201cHmisc\u201d.2020.https:\/\/cran.r\u2010project.org\/web\/packages\/Hmisc\/Hmisc.pdf. 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