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甘油三酯葡萄糖体重校正腰围指数(TyG-WWI):在TyG及其衍生指数中,是糖尿病和死亡风险的最佳预测指标。

Triglyceride glucose-weight-adjusted waist index (TyG-WWI): the best predictor of diabetes mellitus and mortality risks among TyG and TyG-derived indices.

作者信息

Tu Jiabin, Wu Bo, Chen Hongkui, Guo Yansong

机构信息

Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, China.

Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China.

出版信息

BMC Endocr Disord. 2025 Jul 4;25(1):166. doi: 10.1186/s12902-025-01989-y.

DOI:10.1186/s12902-025-01989-y
PMID:40616082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12231725/
Abstract

BACKGROUND

The triglyceride-glucose (TyG) index has emerged as a promising biomarker for assessing insulin resistance. Considering the impact of obesity on insulin resistance, some researchers combined TyG with body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR) and other anthropometrics and used these to predict metabolic disease. Weight-adjusted waist index (WWI) was considered to be a more accurate parameter of obesity than other anthropometrics, but no studies have combined WWI with TyG index.

AIMS

To investigate whether TyG-WWI was superior to other indices in assessing diabetes risk and mortality risk.

METHODS

This study utilized data from the National Health and Nutrition Examination Survey. A total of 19,894 participants were included. TyG-WWI and other TyG-derived indices were calculated, and their associations with diabetes mellitus (DM), All-cause mortality, cardiovascular disease (CVD) mortality, and DM-related mortality were evaluated using logistic regression, Cox regression, and receiver operating characteristic curve (ROC) analysis.

RESULTS

TyG-WWI was positively associated with the risk of DM (OR: 1.11, 95%CI: 1.10–1.12,  < 0.001) and various mortality outcomes, including All-cause mortality (HR: 1.02, 95%CI: 1.01–1.02,  < 0.001), CVD mortality (HR: 1.01, 95%CI: 1.01–1.02,  = 0.014), and DM-related mortality (HR: 1.04, 95%CI: 1.01–1.08,  = 0.013). ROC showed that TyG-WWI had the largest area under the curve for predicting DM (AUC: 0.81, 95% CI: 0.80–0.81), All-cause mortality (AUC: 0.69, 95% CI: 0.68–0.70), CVD mortality (AUC: 0.71, 95% CI: 0.69–0.72), and DM-related mortality (AUC: 0.85, 95% CI: 0.82–0.89) compared to other TyG-derived indices.

CONCLUSIONS

TyG-WWI demonstrates superior predictive accuracy for DM and mortality risks compared to the standalone TyG index and other TyG-derived indices.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s12902-025-01989-y.

摘要

背景

甘油三酯-葡萄糖(TyG)指数已成为评估胰岛素抵抗的一种很有前景的生物标志物。考虑到肥胖对胰岛素抵抗的影响,一些研究人员将TyG与体重指数(BMI)、腰围(WC)、腰高比(WHtR)等人体测量指标相结合,并用于预测代谢性疾病。体重调整腰围指数(WWI)被认为是比其他人体测量指标更准确的肥胖参数,但尚无研究将WWI与TyG指数相结合。

目的

探讨TyG-WWI在评估糖尿病风险和死亡风险方面是否优于其他指标。

方法

本研究利用了美国国家健康与营养检查调查的数据。共纳入19894名参与者。计算了TyG-WWI和其他TyG衍生指标,并使用逻辑回归、Cox回归和受试者工作特征曲线(ROC)分析评估了它们与糖尿病(DM)、全因死亡率、心血管疾病(CVD)死亡率和DM相关死亡率的关联。

结果

TyG-WWI与DM风险(OR:1.11,95%CI:1.10–1.12,P<0.001)以及各种死亡结局呈正相关,包括全因死亡率(HR:1.02,95%CI:1.01–1.02,P<0.001)、CVD死亡率(HR:1.01,95%CI:1.01–1.02,P = 0.014)和DM相关死亡率(HR:1.04,95%CI:1.01–1.08,P = 0.013)。ROC曲线显示,与其他TyG衍生指标相比,TyG-WWI在预测DM(AUC:0.81,95%CI:0.80–0.81)、全因死亡率(AUC:0.69,95%CI:0.68–0.70)、CVD死亡率(AUC:0.71,95%CI:0.69–0.72)和DM相关死亡率(AUC:0.85,95%CI:0.82–0.89)方面的曲线下面积最大。

结论

与单独的TyG指数和其他TyG衍生指标相比,TyG-WWI在预测DM和死亡风险方面具有更高的预测准确性。

补充信息

在线版本包含可在10.1186/s12902-025-01989-y获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/143fc29e609f/12902_2025_1989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/8c40a1303833/12902_2025_1989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/1bc50d4a3568/12902_2025_1989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/7e0e9cc83ac3/12902_2025_1989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/143fc29e609f/12902_2025_1989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/8c40a1303833/12902_2025_1989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/1bc50d4a3568/12902_2025_1989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/7e0e9cc83ac3/12902_2025_1989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a452/12231725/143fc29e609f/12902_2025_1989_Fig4_HTML.jpg

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