The Association between C-Reactive Protein-Triglyceride-Glucose Index and the Risk of Cardiovascular Diseases
Year: 2025
Type: article
Abstract: 目的：C-反应蛋白–甘油三酯–葡萄糖指数(CTI)已被提出作为胰岛素抵抗炎症的新生物标志物。然而，在中国人群中CTI与心血管疾病风险之间的关系仍然不清楚，旨在探讨中国普通人群中CTI与心血管疾病之间的复杂关系。方法：中国卫生与退休纵向研究(CHARLS)总共有5267名中年和老年参与者，主要终点是心血管疾病事件的发生。使用0.412 * Ln (CRP [mg/l]) + Ln (TG [mg/dl] × FPG [mg/dl])/2计算CTI。Kaplan-Meier曲线，COX比例危害模型和受限的立方样条分析用于探索CTI与心血管疾病风险之间的关联。结果：在随访期间，记录了2603例CVD病例，随着CTI四分位数(Q1→Q4)升高，心血管疾病事件数和风险比(HR)逐步递增，呈现明确的剂量–反应关系(趋势检验P Objective: The C-reactive protein-triglyceride-glucose index (CTI) has been proposed as a new biomarker for insulin resistance and inflammation. However, the relationship between CTI and the risk of cardiovascular diseases in the Chinese population remains unclear, aiming to explore the complex relationship between CTI and cardiovascular diseases in the general Chinese population. Method: The China Health and Retirement Longitudinal Study (CHARLS) involved a total of 5267 middle-aged and elderly participants, and the primary endpoint was the occurrence of cardiovascular disease events. CTI was calculated using 0.412 * Ln (CRP [mg/l]) + Ln (TG [mg/dl] × FPG [mg/dl])/2. The Kaplan-Meier curve, COX proportional hazards model and restricted cubic spline analysis were used to explore the association between CTI and the risk of cardiovascular diseases. Result: During the follow-up period, 2,603 cases of CVD were recorded. With the increase of the quartile of CTI (Q1→Q4), the number of cardiovascular disease events and the hazard ratio (HR) gradually increased, presenting a clear dose-response relationship (trend test P < 0.001). Conclusion: Changes in CTI values are significantly associated with an increased risk of CVD in individuals aged 45 and above, thereby confirming its potential as a valuable tool for risk stratification in CVD.
Source: Advances in Clinical Medicine
Author: 晶晶 饶
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4411218969