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甘油三酯-葡萄糖指数与肥胖指标组合的变化可预估心血管疾病风险。

Changes in the combination of the triglyceride-glucose index and obesity indicators estimate the risk of cardiovascular disease.

机构信息

Senior Department of Cardiology, The Sixth Medical Center of PLA General Hospital, Beijing, China.

Medical School of Chinese PLA, Beijing, China.

出版信息

Cardiovasc Diabetol. 2024 Jun 6;23(1):192. doi: 10.1186/s12933-024-02281-4.

DOI:10.1186/s12933-024-02281-4
PMID:38844974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11157789/
Abstract

BACKGROUND

Cardiovascular disease (CVD) is closely associated with the triglyceride glucose (TyG) index and its related indicators, particularly its combination with obesity indices. However, there is limited research on the relationship between changes in TyG-related indices and CVD, as most studies have focused on baseline TyG-related indices.

METHODS

The data for this prospective cohort study were obtained from the China Health and Retirement Longitudinal Study. The exposures were changes in TyG-related indices and cumulative TyG-related indices from 2012 to 2015. The K-means algorithm was used to classify changes in each TyG-related index into four classes (Class 1 to Class 4). Multivariate logistic regressions were used to evaluate the associations between the changes in TyG-related indices and the incidence of CVD.

RESULTS

In total, 3243 participants were included in this study, of whom 1761 (54.4%) were female, with a mean age of 57.62 years at baseline. Over a 5-year follow-up, 637 (19.6%) participants developed CVD. Fully adjusted logistic regression analyses revealed significant positive associations between changes in TyG-related indices, cumulative TyG-related indices and the incidence of CVD. Among these changes in TyG-related indices, changes in TyG-waist circumference (WC) showed the strongest association with incident CVD. Compared to the participants in Class 1 of changes in TyG-WC, the odds ratio (OR) for participants in Class 2 was 1.41 (95% confidence interval (CI) 1.08-1.84), the OR for participants in Class 3 was 1.54 (95% CI 1.15-2.07), and the OR for participants in Class 4 was 1.94 (95% CI 1.34-2.80). Moreover, cumulative TyG-WC exhibited the strongest association with incident CVD among cumulative TyG-related indices. Compared to the participants in Quartile 1 of cumulative TyG-WC, the OR for participants in Quartile 2 was 1.33 (95% CI 1.00-1.76), the OR for participants in Quartile 3 was 1.46 (95% CI 1.09-1.96), and the OR for participants in Quartile 4 was 1.79 (95% CI 1.30-2.47).

CONCLUSIONS

Changes in TyG-related indices are independently associated with the risk of CVD. Changes in TyG-WC are expected to become more effective indicators for identifying individuals at a heightened risk of CVD.

摘要

背景

心血管疾病(CVD)与甘油三酯-血糖(TyG)指数及其相关指标密切相关,尤其是与肥胖指数的结合。然而,关于 TyG 相关指标变化与 CVD 之间的关系的研究较少,因为大多数研究都集中在基线 TyG 相关指标上。

方法

本前瞻性队列研究的数据来自中国健康与退休纵向研究。暴露因素为 2012 年至 2015 年 TyG 相关指标的变化和累积 TyG 相关指标的变化。采用 K-均值算法将每个 TyG 相关指标的变化分为四类(第 1 类至第 4 类)。采用多变量逻辑回归评估 TyG 相关指标变化与 CVD 发生率之间的关系。

结果

本研究共纳入 3243 名参与者,其中 1761 名(54.4%)为女性,基线时平均年龄为 57.62 岁。在 5 年的随访期间,637 名(19.6%)参与者发生了 CVD。经过完全调整的逻辑回归分析显示,TyG 相关指标的变化、累积 TyG 相关指标与 CVD 的发生呈显著正相关。在这些 TyG 相关指标的变化中,TyG-腰围(WC)的变化与 CVD 的发生相关性最强。与 TyG-WC 变化类别 1 的参与者相比,类别 2 的参与者的比值比(OR)为 1.41(95%置信区间(CI)为 1.08-1.84),类别 3 的 OR 为 1.54(95% CI 为 1.15-2.07),类别 4 的 OR 为 1.94(95% CI 为 1.34-2.80)。此外,累积 TyG-WC 在累积 TyG 相关指标中与 CVD 的发生相关性最强。与累积 TyG-WC 四分位第 1 位的参与者相比,四分位第 2 位的 OR 为 1.33(95% CI 为 1.00-1.76),四分位第 3 位的 OR 为 1.46(95% CI 为 1.09-1.96),四分位第 4 位的 OR 为 1.79(95% CI 为 1.30-2.47)。

结论

TyG 相关指标的变化与 CVD 的风险独立相关。TyG-WC 的变化有望成为识别 CVD 风险增加个体的更有效指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96fe/11157789/d2adf7a7be84/12933_2024_2281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96fe/11157789/6eebf5ecae09/12933_2024_2281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96fe/11157789/d2adf7a7be84/12933_2024_2281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96fe/11157789/6eebf5ecae09/12933_2024_2281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96fe/11157789/d2adf7a7be84/12933_2024_2281_Fig2_HTML.jpg

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