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Two-step clinical care pathway to predict MASLD-related advanced fibrosis and long-term outcomes in type 2 diabetes

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dc.contributor.authorChen, Yuping-
dc.contributor.authorDong, Bingtian-
dc.contributor.authorJin, Xinrui-
dc.contributor.authorLiu, Chuan-
dc.contributor.authorZheng, Ming-Hua-
dc.contributor.authorLiang, Xiao-
dc.contributor.authorSun, Yameng-
dc.contributor.authorLee, Hye Won-
dc.contributor.authorLin, Huapeng-
dc.contributor.authorTsochatzis, Emmanuel-
dc.contributor.authorPetta, Salvatore-
dc.contributor.authorBugianesi, Elisabetta-
dc.contributor.authorYoneda, Masato-
dc.contributor.authorHagstrom, Hannes-
dc.contributor.authorBoursier, Jerome-
dc.contributor.authorCalleja, Jose Luis-
dc.contributor.authorGoh, George Boon-Bee-
dc.contributor.authorChan, Wah-Kheong-
dc.contributor.authorGallego-Duran, Rocio-
dc.contributor.authorSanyal, Arun J.-
dc.contributor.authorDe Ledinghen, Victor-
dc.contributor.authorNewsome, Philip N.-
dc.contributor.authorFan, Jian-Gao-
dc.contributor.authorCastera, Laurent-
dc.contributor.authorLai, Michelle-
dc.contributor.authorFournier-Poizat, Celine-
dc.contributor.authorWong, Grace Lai-Hung-
dc.contributor.authorPennisi, Grazia-
dc.contributor.authorArmandi, Angelo-
dc.contributor.authorNakajima, Atsushi-
dc.contributor.authorLiu, Wen-Yue-
dc.contributor.authorShang, Ying-
dc.contributor.authorSaint-Loup, Marc De-
dc.contributor.authorLlop, Elba-
dc.contributor.authorTeh, Kevin Kim Jun-
dc.contributor.authorLara-Romero, Carmen-
dc.contributor.authorAsgharpour, Amon-
dc.contributor.authorMahgoub, Sara-
dc.contributor.authorChan, Mandy Sau-Wai-
dc.contributor.authorLannes, Adrien-
dc.contributor.authorRomero-Gomez, Manuel-
dc.contributor.authorHu, Airong-
dc.contributor.authorLi, Yiling-
dc.contributor.authorZeng, Qing-Lei-
dc.contributor.authorGou, Wei-
dc.contributor.authorBian, Hua-
dc.contributor.authorHan, Xiao-
dc.contributor.authorSun, Chenlin-
dc.contributor.authorKim, Seung Up-
dc.contributor.authorYip, Terry Cheuk-Fung-
dc.contributor.authorTeng, Gao-Jun-
dc.contributor.authorWong, Vincent Wai-Sun-
dc.contributor.authorQi, Xiaolong-
dc.date.accessioned2026-03-16T01:54:19Z-
dc.date.available2026-03-16T01:54:19Z-
dc.date.created2026-03-09-
dc.date.issued2026-01-
dc.identifier.issn0017-5749-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/211231-
dc.description.abstractBackground Current guidelines recommend a two-step approach for risk stratification of metabolic dysfunction-associated steatotic liver disease (MASLD), starting with Fibrosis-4 index (FIB-4) followed by liver stiffness measurement (LSM) using vibration-controlled transient elastography (VCTE). Objective To evaluate this approach for predicting advanced fibrosis and liver-related events (LREs) in patients with type 2 diabetes (T2D). Design A prospective liver biopsy cohort of T2D patients with histologically confirmed MASLD from seven centres in China was used to assess diagnostic performance for advanced fibrosis. The international VCTE-Prognosis cohort, including T2D patients with MASLD who underwent VCTE at 16 centres in the USA, Europe and Asia, with longitudinal follow-up, was used to assess LREs, defined as hepatic decompensation or hepatocellular carcinoma. Results 4781 participants were included. In the liver biopsy cohort (n=352; 22.2% with advanced fibrosis), applying LSM thresholds of <8 kPa and >12 kPa after FIB-4 classified patients into 63.4% low-risk, 9.4% intermediate-risk and 27.3% high-risk, with a correct classification rate of 71%. In the VCTE-Prognosis cohort (n=4429; median follow-up 51.3 (IQR 27.4-70.7) months), 140 (3.2%) patients developed LREs (110 (2.5%) with hepatic decompensation and 59 (1.3%) with hepatocellular carcinoma). The two-step approach classified 72.6%, 6.8% and 20.6% of patients into low-risk, intermediate-risk and high-risk groups, with corresponding 5-year cumulative LRE incidences of 0.7%, 0.9% and 11.8%. Refining classification of intermediate FIB-4 patients using LSM <10 kPa (low-risk) and >15 kPa (high-risk) reduced the intermediate-risk group to 5.6% while preserving predictive accuracy. Conclusion The non-invasive two-step approach of FIB-4 followed by LSM effectively stratifies MASLD-related advanced fibrosis and LREs risk in T2D. Applying LSM cut-offs of 10 and 15 kPa further optimises risk stratification for future LREs.-
dc.languageEnglish-
dc.publisherBritish Medical Assn.-
dc.relation.isPartOfGUT-
dc.relation.isPartOfGUT-
dc.titleTwo-step clinical care pathway to predict MASLD-related advanced fibrosis and long-term outcomes in type 2 diabetes-
dc.typeArticle-
dc.contributor.googleauthorChen, Yuping-
dc.contributor.googleauthorDong, Bingtian-
dc.contributor.googleauthorJin, Xinrui-
dc.contributor.googleauthorLiu, Chuan-
dc.contributor.googleauthorZheng, Ming-Hua-
dc.contributor.googleauthorLiang, Xiao-
dc.contributor.googleauthorSun, Yameng-
dc.contributor.googleauthorLee, Hye Won-
dc.contributor.googleauthorLin, Huapeng-
dc.contributor.googleauthorTsochatzis, Emmanuel-
dc.contributor.googleauthorPetta, Salvatore-
dc.contributor.googleauthorBugianesi, Elisabetta-
dc.contributor.googleauthorYoneda, Masato-
dc.contributor.googleauthorHagstrom, Hannes-
dc.contributor.googleauthorBoursier, Jerome-
dc.contributor.googleauthorCalleja, Jose Luis-
dc.contributor.googleauthorGoh, George Boon-Bee-
dc.contributor.googleauthorChan, Wah-Kheong-
dc.contributor.googleauthorGallego-Duran, Rocio-
dc.contributor.googleauthorSanyal, Arun J.-
dc.contributor.googleauthorDe Ledinghen, Victor-
dc.contributor.googleauthorNewsome, Philip N.-
dc.contributor.googleauthorFan, Jian-Gao-
dc.contributor.googleauthorCastera, Laurent-
dc.contributor.googleauthorLai, Michelle-
dc.contributor.googleauthorFournier-Poizat, Celine-
dc.contributor.googleauthorWong, Grace Lai-Hung-
dc.contributor.googleauthorPennisi, Grazia-
dc.contributor.googleauthorArmandi, Angelo-
dc.contributor.googleauthorNakajima, Atsushi-
dc.contributor.googleauthorLiu, Wen-Yue-
dc.contributor.googleauthorShang, Ying-
dc.contributor.googleauthorSaint-Loup, Marc De-
dc.contributor.googleauthorLlop, Elba-
dc.contributor.googleauthorTeh, Kevin Kim Jun-
dc.contributor.googleauthorLara-Romero, Carmen-
dc.contributor.googleauthorAsgharpour, Amon-
dc.contributor.googleauthorMahgoub, Sara-
dc.contributor.googleauthorChan, Mandy Sau-Wai-
dc.contributor.googleauthorLannes, Adrien-
dc.contributor.googleauthorRomero-Gomez, Manuel-
dc.contributor.googleauthorHu, Airong-
dc.contributor.googleauthorLi, Yiling-
dc.contributor.googleauthorZeng, Qing-Lei-
dc.contributor.googleauthorGou, Wei-
dc.contributor.googleauthorBian, Hua-
dc.contributor.googleauthorHan, Xiao-
dc.contributor.googleauthorSun, Chenlin-
dc.contributor.googleauthorKim, Seung Up-
dc.contributor.googleauthorYip, Terry Cheuk-Fung-
dc.contributor.googleauthorTeng, Gao-Jun-
dc.contributor.googleauthorWong, Vincent Wai-Sun-
dc.contributor.googleauthorQi, Xiaolong-
dc.identifier.doi10.1136/gutjnl-2025-337506-
dc.relation.journalcodeJ00953-
dc.identifier.eissn1468-3288-
dc.identifier.urlhttps://gut.bmj.com/content/75/3/576-
dc.subject.keywordHEPATIC FIBROSIS-
dc.subject.keywordDIABETES MELLITUS, TYPE 2-
dc.subject.keywordFATTY LIVER-
dc.contributor.affiliatedAuthorLee, Hye Won-
dc.contributor.affiliatedAuthorKim, Seung Up-
dc.identifier.scopusid2-s2.0-105028565501-
dc.identifier.wosid001669124600001-
dc.citation.volume75-
dc.citation.number3-
dc.citation.startPage576-
dc.citation.endPage587-
dc.identifier.bibliographicCitationGUT, Vol.75(3) : 576-587, 2026-01-
dc.identifier.rimsid91848-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorHEPATIC FIBROSIS-
dc.subject.keywordAuthorDIABETES MELLITUS, TYPE 2-
dc.subject.keywordAuthorFATTY LIVER-
dc.subject.keywordPlusSTEATOTIC LIVER-DISEASE-
dc.subject.keywordPlusSCORE-
dc.subject.keywordPlusVALIDATION-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusINDEX-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryGastroenterology & Hepatology-
dc.relation.journalResearchAreaGastroenterology & Hepatology-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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