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Diagnostic value of triglyceride–glucose index and related parameters in metabolism-associated fatty liver disease in a Chinese population: a cross-sectional study
ObjectiveOur study aimed to explore the diagnostic value of triglyceride–glucose (TyG) and its related parameters in metabolism-associated fatty liver disease (MAFLD).DesignA cross-sectional study of residents who attended medical checkups at the First Hospital of Nanping City, Fujian Medical Univer...
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Published in: | BMJ open 2023-09, Vol.13 (9), p.e075413-e075413 |
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description | ObjectiveOur study aimed to explore the diagnostic value of triglyceride–glucose (TyG) and its related parameters in metabolism-associated fatty liver disease (MAFLD).DesignA cross-sectional study of residents who attended medical checkups at the First Hospital of Nanping City, Fujian Medical University, between 2015 and 2017.SettingOne participation centre.Participants2605 subjects met the inclusion–exclusion criteria and were grouped according to whether they had MAFLD.ResultsThe TyG index and its associated parameters are positively associated with the risk of developing MAFLD (p |
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Restriction cube spline analysis showed a significant dose–response relationship between the TyG index and MAFLD. The risk of developing MAFLD increases significantly with a higher TyG index. After adjusting for confounders, this relationship remains (OR: 4.89, 95% CI 3.98 to 6.00). The areas under the receiver operating characteristic curves of the TyG index for MAFLD detection were 0.793 (0.774 to 0.812). The areas under the curve (AUC) of TyG-related parameters were improved, among which TyG-waist circumference (TyG-WC) showed the largest AUC for MAFLD detection (0.873, 95% CI 0.860 to 0.887). In addition, the best cut-off value of the TyG-WC was 716.743, with a sensitivity and specificity of 88.7% and 71.4%, respectively.ConclusionThe TyG index effectively identifies MAFLD, and the TyG-related parameters improved the identification and diagnosis of MAFLD, suggesting that TyG-related parameters, especially TyG-WC, may be a useful marker for diagnosing MAFLD.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2023-075413</identifier><identifier>PMID: 37775293</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Biomarkers ; Blood pressure ; Body mass index ; Cross-sectional studies ; Diabetes ; Food ; Glucose ; Insulin resistance ; Liver cirrhosis ; Liver diseases ; Medical diagnosis ; Metabolism ; Overweight ; Population ; Public Health ; Questionnaires ; Software ; Ultrasonic imaging ; Womens health</subject><ispartof>BMJ open, 2023-09, Vol.13 (9), p.e075413-e075413</ispartof><rights>2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c427t-bc74b4d4824eeb49509779a80b576afa1d5305269466adadadd0bc27fa940eec3</cites><orcidid>0000-0002-4795-7956</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2870073630/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2870073630?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3194,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><creatorcontrib>Yu, Rong</creatorcontrib><creatorcontrib>Xie, Weijiang</creatorcontrib><creatorcontrib>Peng, Hewei</creatorcontrib><creatorcontrib>Lu, Lili</creatorcontrib><creatorcontrib>Yin, Shuo</creatorcontrib><creatorcontrib>Xu, Shanghua</creatorcontrib><creatorcontrib>Hu, Zhijian</creatorcontrib><creatorcontrib>Peng, Xian-E</creatorcontrib><title>Diagnostic value of triglyceride–glucose index and related parameters in metabolism-associated fatty liver disease in a Chinese population: a cross-sectional study</title><title>BMJ open</title><description>ObjectiveOur study aimed to explore the diagnostic value of triglyceride–glucose (TyG) and its related parameters in metabolism-associated fatty liver disease (MAFLD).DesignA cross-sectional study of residents who attended medical checkups at the First Hospital of Nanping City, Fujian Medical University, between 2015 and 2017.SettingOne participation centre.Participants2605 subjects met the inclusion–exclusion criteria and were grouped according to whether they had MAFLD.ResultsThe TyG index and its associated parameters are positively associated with the risk of developing MAFLD (p<0.001). Restriction cube spline analysis showed a significant dose–response relationship between the TyG index and MAFLD. The risk of developing MAFLD increases significantly with a higher TyG index. After adjusting for confounders, this relationship remains (OR: 4.89, 95% CI 3.98 to 6.00). The areas under the receiver operating characteristic curves of the TyG index for MAFLD detection were 0.793 (0.774 to 0.812). The areas under the curve (AUC) of TyG-related parameters were improved, among which TyG-waist circumference (TyG-WC) showed the largest AUC for MAFLD detection (0.873, 95% CI 0.860 to 0.887). In addition, the best cut-off value of the TyG-WC was 716.743, with a sensitivity and specificity of 88.7% and 71.4%, respectively.ConclusionThe TyG index effectively identifies MAFLD, and the TyG-related parameters improved the identification and diagnosis of MAFLD, suggesting that TyG-related parameters, especially TyG-WC, may be a useful marker for diagnosing MAFLD.</description><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cross-sectional studies</subject><subject>Diabetes</subject><subject>Food</subject><subject>Glucose</subject><subject>Insulin resistance</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>Medical diagnosis</subject><subject>Metabolism</subject><subject>Overweight</subject><subject>Population</subject><subject>Public Health</subject><subject>Questionnaires</subject><subject>Software</subject><subject>Ultrasonic imaging</subject><subject>Womens health</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkkuO1DAQhiMEYkbDnICNJTZsAo4fcZsNQs1rpJHYwNqq2JUet5w42ElrescdOAMX4yS4H0IM9sLlv359KpX-qnre0FdNw9vX3bCNE441o4zXVEnR8EfVJaNC1C2V8vE_9UV1nfOWliOklpI9rS64UkoyzS-rX-89bMaYZ2_JDsKCJPZkTn4T9haTd_j7x89NWGzMSPzo8J7A6EjCADM6MkGCAWdMuTRJqaCLweehhpyj9UdPD_O8J8HvMBHnM8KRRICs7_yI5TPFaSk4H8c3RbUp5lxntAcBAsnz4vbPqic9hIzX5_eq-vbxw9f15_r2y6eb9bvb2gqm5rqzSnTCiRUTiJ3QkmqlNKxoJ1ULPTROcipZq0XbgjtcRzvLVA9aUETLr6qbE9dF2Jop-QHS3kTw5ijEtDGQyqoCmg6sdD20uMJGyL7THTJmV7Jteg1UNoX19sSalm5AZ3GcE4QH0Ied0d-ZTdyZhkrRNkIXwsszIcXvC-bZDD5bDAFGjEs2bKWo1iUOslhf_GfdxiWV_Z1cVPGW0-LiJ9dxyQn7v9M01BxiZc6xModYmVOs-B9vYMba</recordid><startdate>20230929</startdate><enddate>20230929</enddate><creator>Yu, Rong</creator><creator>Xie, Weijiang</creator><creator>Peng, Hewei</creator><creator>Lu, Lili</creator><creator>Yin, Shuo</creator><creator>Xu, Shanghua</creator><creator>Hu, Zhijian</creator><creator>Peng, Xian-E</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4795-7956</orcidid></search><sort><creationdate>20230929</creationdate><title>Diagnostic value of triglyceride–glucose index and related parameters in metabolism-associated fatty liver disease in a Chinese population: a cross-sectional study</title><author>Yu, Rong ; Xie, Weijiang ; Peng, Hewei ; Lu, Lili ; Yin, Shuo ; Xu, Shanghua ; Hu, Zhijian ; Peng, Xian-E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-bc74b4d4824eeb49509779a80b576afa1d5305269466adadadd0bc27fa940eec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cross-sectional studies</topic><topic>Diabetes</topic><topic>Food</topic><topic>Glucose</topic><topic>Insulin resistance</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>Medical diagnosis</topic><topic>Metabolism</topic><topic>Overweight</topic><topic>Population</topic><topic>Public Health</topic><topic>Questionnaires</topic><topic>Software</topic><topic>Ultrasonic imaging</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Rong</creatorcontrib><creatorcontrib>Xie, Weijiang</creatorcontrib><creatorcontrib>Peng, Hewei</creatorcontrib><creatorcontrib>Lu, Lili</creatorcontrib><creatorcontrib>Yin, Shuo</creatorcontrib><creatorcontrib>Xu, Shanghua</creatorcontrib><creatorcontrib>Hu, Zhijian</creatorcontrib><creatorcontrib>Peng, Xian-E</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Rong</au><au>Xie, Weijiang</au><au>Peng, Hewei</au><au>Lu, Lili</au><au>Yin, Shuo</au><au>Xu, Shanghua</au><au>Hu, Zhijian</au><au>Peng, Xian-E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic value of triglyceride–glucose index and related parameters in metabolism-associated fatty liver disease in a Chinese population: a cross-sectional study</atitle><jtitle>BMJ open</jtitle><date>2023-09-29</date><risdate>2023</risdate><volume>13</volume><issue>9</issue><spage>e075413</spage><epage>e075413</epage><pages>e075413-e075413</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectiveOur study aimed to explore the diagnostic value of triglyceride–glucose (TyG) and its related parameters in metabolism-associated fatty liver disease (MAFLD).DesignA cross-sectional study of residents who attended medical checkups at the First Hospital of Nanping City, Fujian Medical University, between 2015 and 2017.SettingOne participation centre.Participants2605 subjects met the inclusion–exclusion criteria and were grouped according to whether they had MAFLD.ResultsThe TyG index and its associated parameters are positively associated with the risk of developing MAFLD (p<0.001). Restriction cube spline analysis showed a significant dose–response relationship between the TyG index and MAFLD. The risk of developing MAFLD increases significantly with a higher TyG index. After adjusting for confounders, this relationship remains (OR: 4.89, 95% CI 3.98 to 6.00). The areas under the receiver operating characteristic curves of the TyG index for MAFLD detection were 0.793 (0.774 to 0.812). The areas under the curve (AUC) of TyG-related parameters were improved, among which TyG-waist circumference (TyG-WC) showed the largest AUC for MAFLD detection (0.873, 95% CI 0.860 to 0.887). In addition, the best cut-off value of the TyG-WC was 716.743, with a sensitivity and specificity of 88.7% and 71.4%, respectively.ConclusionThe TyG index effectively identifies MAFLD, and the TyG-related parameters improved the identification and diagnosis of MAFLD, suggesting that TyG-related parameters, especially TyG-WC, may be a useful marker for diagnosing MAFLD.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><pmid>37775293</pmid><doi>10.1136/bmjopen-2023-075413</doi><orcidid>https://orcid.org/0000-0002-4795-7956</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers Blood pressure Body mass index Cross-sectional studies Diabetes Food Glucose Insulin resistance Liver cirrhosis Liver diseases Medical diagnosis Metabolism Overweight Population Public Health Questionnaires Software Ultrasonic imaging Womens health |
title | Diagnostic value of triglyceride–glucose index and related parameters in metabolism-associated fatty liver disease in a Chinese population: a cross-sectional study |
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