Suppr超能文献

基于美国国家健康与营养检查调查(NHANES)数据的C反应蛋白-甘油三酯-葡萄糖指数与冠心病和2型糖尿病死亡率的关联

Association of C reactive protein triglyceride glucose index with mortality in coronary heart disease and type 2 diabetes from NHANES data.

作者信息

Tang Nan, Chen Xuejin, Li Haoran, Cheng Shizhong, Hu Ya'nan, Wang Lele, Zhou Qiang, Zhang Qingdui, Hao Ji, Qi Chunmei

机构信息

Department of Cardiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.

出版信息

Sci Rep. 2025 Jul 9;15(1):24687. doi: 10.1038/s41598-025-10184-x.

Abstract

Coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM) frequently coexist, significantly elevating the risk of adverse cardiovascular outcomes and mortality. The C-reactive protein-triglyceride-glucose index (CTI), a novel composite marker reflecting both inflammation and insulin resistance, has been associated with poor prognosis in various populations. However, its relationship with all-cause and cardiovascular mortality in patients with coexisting CHD and T2DM remains unclear. Data were obtained from 759 adults with both CHD and T2DM enrolled in the National Health and Nutrition Examination Survey (NHANES) 1999-2010 cycles, with mortality follow-up through December 31, 2019. CTI was calculated and categorized into quartiles. Kaplan-Meier survival analysis, multivariable Cox proportional hazards models, and restricted cubic spline (RCS) analyses were performed to assess the association between CTI levels and risks of all-cause and cardiovascular mortality. Pearson correlation analyses were conducted to evaluate the associations between CTI and key metabolic and inflammatory markers. Subgroup analyses were performed to assess the robustness and consistency of the associations across different clinical strata. During a median follow-up of 109 months, 520 all-cause deaths and 213 cardiovascular deaths were recorded. Higher CTI levels were independently associated with increased risks of both all-cause (HR: 1.68; 95%CI: 1.47-1.92) and cardiovascular mortality (HR: 1.70; 95%CI: 1.38-2.10) after full adjustment (P for trend < 0.001). RCS analysis confirmed a linear dose-response relationship. The association was consistent across subgroups, with stronger effects observed in patients with HbA1c < 7%. CTI also showed significant correlations with multiple metabolic and inflammatory markers.nteraction analyses further revealed that the association between CTI and all-cause mortality was more pronounced in younger individuals (P for interaction = 0.012), while no significant effect modification was observed across cardiovascular-kidney-metabolic stages or frailty status. Findings remained robust in survey-weighted analyses, and CTI also showed strong correlations with a range of metabolic and inflammatory biomarkers, supporting its integrative prognostic utility. Elevated CTI is independently associated with higher all-cause and cardiovascular mortality risks in patients with CHD and T2DM. CTI may serve as a valuable biomarker for risk stratification in this high-risk population. Further studies are warranted to validate its clinical utility.

摘要

冠心病(CHD)和2型糖尿病(T2DM)常同时存在,显著增加不良心血管结局和死亡风险。C反应蛋白-甘油三酯-葡萄糖指数(CTI)是一种反映炎症和胰岛素抵抗的新型综合标志物,已被证明与不同人群的不良预后相关。然而,其与合并冠心病和2型糖尿病患者的全因死亡率和心血管死亡率之间的关系仍不明确。数据来自1999 - 2010年国家健康与营养检查调查(NHANES)中纳入的759例同时患有冠心病和2型糖尿病的成年人,随访至2019年12月31日的死亡率情况。计算CTI并将其分为四分位数。进行Kaplan-Meier生存分析、多变量Cox比例风险模型和限制性立方样条(RCS)分析,以评估CTI水平与全因死亡率和心血管死亡率风险之间的关联。进行Pearson相关分析以评估CTI与关键代谢和炎症标志物之间的关联。进行亚组分析以评估不同临床分层中关联的稳健性和一致性。在中位随访109个月期间,记录了520例全因死亡和213例心血管死亡。在完全调整后,较高的CTI水平与全因死亡风险增加(HR:1.68;95%CI:1.47 - 1.92)和心血管死亡风险增加(HR:1.70;95%CI:1.38 - 2.10)独立相关(趋势P<0.001)。RCS分析证实了线性剂量反应关系。该关联在各亚组中一致,在糖化血红蛋白(HbA1c)<7%的患者中观察到更强的效应。CTI还与多种代谢和炎症标志物显著相关。交互分析进一步显示,CTI与全因死亡率之间的关联在较年轻个体中更明显(交互作用P = 0.012),而在心血管-肾脏-代谢阶段或虚弱状态之间未观察到显著的效应修饰。在调查加权分析中结果仍然稳健,并且CTI还与一系列代谢和炎症生物标志物显示出强相关性,支持其综合预后效用。CTI升高与冠心病和2型糖尿病患者较高的全因死亡率和心血管死亡率风险独立相关。CTI可能作为这一高危人群风险分层的有价值生物标志物。有必要进一步研究以验证其临床效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecfc/12241523/d83e929afd16/41598_2025_10184_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验