Wang Lian, Li Zijin, Qiu Rui, Luo Li, Yan Xisheng
Department of Cardiology, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan, 430074, Hubei, China.
College of Medicine, Wuhan University of Science and Technology, Wuhan, 430065, Hubei, China.
Diabetol Metab Syndr. 2025 Jan 15;17(1):15. doi: 10.1186/s13098-024-01568-6.
The triglyceride glucose-body mass index (TyG-BMI) is considered to be a reliable surrogate marker of insulin resistance (IR). However, limited evidence exists regarding its association with the severity of coronary artery disease (CAD), particularly in hypertensive patients with different glucose metabolic states, including those with H-type hypertension. This study aimed to investigate the relationship between TyG-BMI and CAD severity across different glucose metabolism conditions.
This retrospective cohort study included 1537 hypertensive patients who underwent coronary angiography. The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of TyG-BMI in detecting the severity of CAD in different glucose metabolism states, including normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The above method has also been applied to populations of H-type hypertension patients.
The TyG-BMI was significantly associated with the severity of multi-vessel CAD in hypertensive patients (Odds ratio [OR] 1.043, 95% CI 1.032-1.053). In the diabetic subgroup, after adjusting for risk factors, the risk of multi-vessel CAD in the T3 groups was 3.836-fold (95% CI 1.763-8.347; P = 0.001) higher than in the T1 group, with a non-linear dose-response relationship (P for non-linearity = 0.017). In H-type hypertension patients, the TyG-BMI was also significantly correlated with multi-vessel CAD (OR 5.248, 95% CI 1.821-15.126, P = 0.002) in the DM group. The ROC analysis revealed that TyG-BMI had the highest predictive value for multi-vessel CAD in diabetic patients, with an AUC of 0.720 (95% CI 0.661-0.780, P < 0.001).
The TyG-BMI serves as a robust predictor of CAD severity in hypertensive patients, particularly those with diabetes and H-type hypertension. And the non-linear dose-response relationship between TyG-BMI and multi-vessel CAD in diabetic patients underscores its potential clinical utility. This index could serve as a valuable tool for the early identification of individuals at high risk.
甘油三酯葡萄糖-体重指数(TyG-BMI)被认为是胰岛素抵抗(IR)的可靠替代指标。然而,关于其与冠状动脉疾病(CAD)严重程度的关联证据有限,尤其是在不同糖代谢状态的高血压患者中,包括H型高血压患者。本研究旨在探讨不同糖代谢条件下TyG-BMI与CAD严重程度之间的关系。
这项回顾性队列研究纳入了1537例行冠状动脉造影的高血压患者。将TyG-BMI分为三分位数,并使用逻辑回归模型和受限立方样条(RCS)模型进行分析,以评估其与多支血管CAD的关联。采用受试者工作特征(ROC)曲线评估TyG-BMI在检测不同糖代谢状态(包括正常血糖调节(NGR)、糖尿病前期(Pre-DM)和糖尿病(DM))下CAD严重程度的预测价值。上述方法也应用于H型高血压患者群体。
TyG-BMI与高血压患者多支血管CAD的严重程度显著相关(优势比[OR]1.043,95%可信区间1.032-1.053)。在糖尿病亚组中,调整危险因素后,T3组多支血管CAD的风险比T1组高3.836倍(95%可信区间1.763-8.347;P = 0.001),存在非线性剂量反应关系(非线性P值 = 0.017)。在H型高血压患者中,DM组的TyG-BMI也与多支血管CAD显著相关(OR 5.248,95%可信区间1.821-15.126,P = 0.002)。ROC分析显示,TyG-BMI对糖尿病患者多支血管CAD的预测价值最高,曲线下面积(AUC)为0.720(95%可信区间0.661-0.780,P < 0.001)。
TyG-BMI是高血压患者CAD严重程度的有力预测指标,尤其是糖尿病和H型高血压患者。糖尿病患者中TyG-BMI与多支血管CAD之间的非线性剂量反应关系凸显了其潜在的临床应用价值。该指标可作为早期识别高危个体的有价值工具。