Haixu Wang, Siyao He, Jinping Wang, Xin Qian, Bo Zhang, Zhiwei Yang, Bo Chen, Guangwei Li, Qiuhong Gong, for the Da Qing Diabetes Prevention Outcome Study Group
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Information on developing diabetes was assessed from 1986 to 2020.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>During the 34-year follow-up, after adjustment for confounders, the G2 group had a higher risk of developing type 2 diabetes than the G1 group (hazard ratio [HR]: 1.92, 95% confidence interval [CI]: 1.51–2.45, <i>p</i> < 0.0001). Restricted cubic spline analyses showed that increased TyG-BMI was linearly related to higher risks of type 2 diabetes (<i>p</i> for non-linearity>0.05). Time-dependent receiver operator characteristics curves suggested that TyG-BMI exhibited higher predictive ability than TyG (6-year: area under the curve [AUC]<sub>TyG-BMI</sub> vs. AUC<sub>TyG</sub>, 0.78 vs. 0.70, <i>p</i> = 0.03; 34-year: AUC<sub>TyG-BMI</sub> vs. AUC<sub>TyG</sub>, 0.79 vs. 0.73, <i>p</i> = 0.04) and HOMA-IR (6-year: AUC<sub>TyG-BMI</sub> vs. AUC<sub>HOMA-IR</sub>, 0.78 vs. 0.70, <i>p</i> = 0.07; 34-year: AUC<sub>TyG-BMI</sub> vs. AUC<sub>HOMA-IR</sub>, 0.79 vs. 0.71, <i>p</i> = 0.04) in both short and long terms, and the thresholds of TyG-BMI to predict type 2 diabetes were relatively stable (195.24–208.41) over the 34-year follow-up.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>In this post hoc study, higher TyG-BMI was associated with an increased risk of type 2 diabetes and demonstrated better predictability than TyG and HOMA-IR, favoring the application of TyG-BMI as a potential tool for evaluating the risk of type 2 diabetes in clinical practice.</p>\n \n <div>\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure>\n </div>\n </section>\n </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"16 10","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11450669/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessing and predicting type 2 diabetes risk with triglyceride glucose-body mass index in the Chinese nondiabetic population—Data from long-term follow-up of Da Qing IGT and Diabetes Study\",\"authors\":\"Haixu Wang, Siyao He, Jinping Wang, Xin Qian, Bo Zhang, Zhiwei Yang, Bo Chen, Guangwei Li, Qiuhong Gong, for the Da Qing Diabetes Prevention Outcome Study Group\",\"doi\":\"10.1111/1753-0407.70001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>We intended to characterize the superiority of triglyceride glucose-body mass index (TyG-BMI) in predicting type 2 diabetes mellitus (T2DM) compared with triglyceride glucose (TyG) and homeostatic model assessment for insulin resistance (HOMA-IR).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A total of 699 nondiabetic participants in the Da Qing IGT and Diabetes Study were involved in the present analysis and classified according to the median of baseline TyG-BMI, namely the G1 (low TyG-BMI) and G2 (high TyG-BMI) groups. 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引用次数: 0
摘要
目的：与甘油三酯血糖（TyG）和胰岛素抵抗静态模型评估（HOMA-IR）相比，我们旨在确定甘油三酯血糖-体重指数（TyG-BMI）在预测2型糖尿病（T2DM）方面的优势：方法： 共有699名大庆IGT和糖尿病研究中的非糖尿病参与者参与了本次分析，并根据基线TyG-BMI的中位数进行了分类，即G1组（低TyG-BMI）和G2组（高TyG-BMI）。从1986年到2020年，对罹患糖尿病的信息进行了评估：结果：在 34 年的随访中，经调整混杂因素后，G2 组比 G1 组患 2 型糖尿病的风险更高（危险比 [HR]：1.92，95% 置信区间 [CI]：1.51-2.45，P 0.05）。与时间相关的接收器运算特征曲线表明，TyG-BMI 比 TyG 具有更高的预测能力（6 年：曲线下面积 [AUC]TyG-BMI vs. AUCTyG, 0.78 vs. 0.70, p = 0.03；34 年：曲线下面积 [AUC]TyG-BMI vs. AUCTyG, 0.78 vs. 0.70, p = 0.03）：AUCTyG-BMI vs. AUCTyG，0.79 vs. 0.73，p = 0.04）和 HOMA-IR （6 年：AUCTyG-BMI vs. AUCTyG，0.79 vs. 0.73，p = 0.04）：AUCTyG-BMI vs. AUCHOMA-IR，0.78 vs. 0.70，p = 0.07；34 年：AUCTyG-BMI vs. AUCHOMA-IR，0.78 vs. 0.70，p = 0.07：在 34 年的随访中，TyG-BMI 预测 2 型糖尿病的阈值相对稳定（195.24-208.41）：在这项事后研究中，较高的TyG-BMI与2型糖尿病风险的增加有关，并且与TyG和HOMA-IR相比，TyG-BMI具有更好的预测性，这有利于将TyG-BMI作为临床实践中评估2型糖尿病风险的潜在工具。
Assessing and predicting type 2 diabetes risk with triglyceride glucose-body mass index in the Chinese nondiabetic population—Data from long-term follow-up of Da Qing IGT and Diabetes Study
Aims
We intended to characterize the superiority of triglyceride glucose-body mass index (TyG-BMI) in predicting type 2 diabetes mellitus (T2DM) compared with triglyceride glucose (TyG) and homeostatic model assessment for insulin resistance (HOMA-IR).
Methods
A total of 699 nondiabetic participants in the Da Qing IGT and Diabetes Study were involved in the present analysis and classified according to the median of baseline TyG-BMI, namely the G1 (low TyG-BMI) and G2 (high TyG-BMI) groups. Information on developing diabetes was assessed from 1986 to 2020.
Results
During the 34-year follow-up, after adjustment for confounders, the G2 group had a higher risk of developing type 2 diabetes than the G1 group (hazard ratio [HR]: 1.92, 95% confidence interval [CI]: 1.51–2.45, p < 0.0001). Restricted cubic spline analyses showed that increased TyG-BMI was linearly related to higher risks of type 2 diabetes (p for non-linearity>0.05). Time-dependent receiver operator characteristics curves suggested that TyG-BMI exhibited higher predictive ability than TyG (6-year: area under the curve [AUC]TyG-BMI vs. AUCTyG, 0.78 vs. 0.70, p = 0.03; 34-year: AUCTyG-BMI vs. AUCTyG, 0.79 vs. 0.73, p = 0.04) and HOMA-IR (6-year: AUCTyG-BMI vs. AUCHOMA-IR, 0.78 vs. 0.70, p = 0.07; 34-year: AUCTyG-BMI vs. AUCHOMA-IR, 0.79 vs. 0.71, p = 0.04) in both short and long terms, and the thresholds of TyG-BMI to predict type 2 diabetes were relatively stable (195.24–208.41) over the 34-year follow-up.
Conclusions
In this post hoc study, higher TyG-BMI was associated with an increased risk of type 2 diabetes and demonstrated better predictability than TyG and HOMA-IR, favoring the application of TyG-BMI as a potential tool for evaluating the risk of type 2 diabetes in clinical practice.
期刊介绍：
Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation.
The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.
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