{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T18:53:23Z","timestamp":1790448803271,"version":"4.1.0"},"reference-count":51,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T00:00:00Z","timestamp":1738108800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Objectives: This study aimed to investigate the relationship between the triglyceride\u2013glucose (TyG) index, its combination with the body roundness index (BRI), and chronic kidney disease (CKD) in patients with type 2 diabetes mellitus (T2DM) based on a cross-sectional analysis conducted in Eastern China. Methods: The research originates from a cross-sectional study performed in Zhejiang Province, Eastern China, between March and November 2018. The TyG-BRI index was calculated based on triglyceride, fasting blood glucose, and the BRI. The correlation between the TyG-BRI index and the risk of CKD was assessed using a restricted cubic spline model. A multivariate logistic regression model was used to investigate the association between the TyG-BRI index and the risk of CKD. Receiver operating characteristic (ROC) analyses was used to evaluate the optimal cut-off and value of the TyG-BRI index for predicting CKD. Results: A total of 1756 T2DM participants were enrolled in this study. The TyG-BRI index was significantly higher in participants with CKD than in those without CKD. In the fully adjusted model, the odds ratios for CKD in the second, third, and fourth TyG-BRI quartiles were 0.93 (95% CI: 0.65\u20131.33), 1.33 (95% CI: 0.94\u20131.88), and 1.57 (95% CI: 1.10\u20132.25), respectively, compared to the first quartile. RCS analysis confirmed a linear dose\u2013response relationship between the TyG-BRI index and CKD risk (all p for nonlinearity &gt; 0.05). ROC curve analysis revealed that the TyG-BRI index had moderate predictive value for CKD, with an area under the curve of 0.626 (95% CI: 0.597\u20130.656, p &lt; 0.001). The optimal cut-off value for the TyG-BRI index was 42.46, with a sensitivity of 68.2% and specificity of 52.2%. Conclusions: The TyG-BRI index was positively associated with the risk of CKD in a T2DM population, demonstrating a dose\u2013response relationship and moderate predictive value. It may serve as a valuable tool for identifying high-risk individuals and informing targeted interventions to prevent or delay CKD progression in this population.<\/jats:p>","DOI":"10.3390\/nu17030492","type":"journal-article","created":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T07:45:12Z","timestamp":1738136712000},"page":"492","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The Association Between the Triglyceride\u2013Glucose Index, Its Combination with the Body Roundness Index, and Chronic Kidney Disease in Patients with Type 2 Diabetes in Eastern China: A Preliminary Study"],"prefix":"10.3390","volume":"17","author":[{"given":"Xiangyu","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofu","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3592-7423","authenticated-orcid":false,"given":"Chunxiao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingbin","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieming","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Non-Communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1007\/s12020-024-03772-w","article-title":"Early onset type 2 diabetes mellitus: An update","volume":"85","author":"Strati","year":"2024","journal-title":"Endocrine"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"m997","DOI":"10.1136\/bmj.m997","article-title":"Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: National cross sectional study","volume":"369","author":"Li","year":"2020","journal-title":"BMJ"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"111884","DOI":"10.1016\/j.diabres.2024.111884","article-title":"Analysis of the global burden of CKD-T2DM in young and middle-aged adults in 204 countries and territories from 2000 to 2019: A systematic study of the global burden of disease in 2019","volume":"217","author":"Liu","year":"2024","journal-title":"Diabetes Res. 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