Association between triglyceride glucose index and all-cause mortality in elderly patients with hypertension and coronary artery disease
10.3760/cma.j.cn114452-20240224-00097
- VernacularTitle:甘油三酯-葡萄糖指数与老年高血压合并冠心病患者全因死亡的关联研究
- Author:
Lu TIAN
1
;
Chi WANG
;
Maoxiang ZHAO
;
Yanjie LI
;
Zekun FENG
;
Lihua LAN
;
Yizhen SUN
;
Ziwei HOU
;
Hao XUE
Author Information
1. 解放军总医院第六医学中心高血压病科，北京100048
- Keywords:
Hypertension;
Coronary disease;
Triglycerides;
Glucose;
Index;
Aged
- From:
Chinese Journal of Laboratory Medicine
2024;47(5):506-513
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the association between triglyceride-glucose (TyG) index and all-cause mortality in elderly patients with hypertension and coronary artery disease.Methods:This was a retrospective cohort study, a total of 5 640 elderly inpatients (≥65 years) with hypertension and coronary artery disease who were admitted to the Department of Cardiology, Liberation Army General Hospital from August 2008 to July 2018 were enrolled in this study. The baseline clinical data of the patients were collected and the TyG index was calculated. Patients were divided into four groups according to their TyG index quartiles: TyG index<8.31 ( Q1 group, n=1 392), 8.31≤TyG index<8.67 ( Q2 group, n=1 417), 8.67≤TyG index<9.07 ( Q3 group, n=1 427), and TyG index≥9.07 ( Q4 group, n=1 404). All patients were followed up by obtaining outpatient/rehospitalization records or by telephone. The primary endpoint was all-cause mortality. Log-rank test was used to compare the cumulative all-cause mortality among groups. Cox proportional hazard regression model was used to analyze the risk of all-cause mortality in each group (the Q2 group with the lowest all-cause mortality was used as a reference), after adjusting for confounding factors, Restricted cubic spline analysis (RCS) was used to determine the association between TyG index and risk of all-cause mortality. Results:During a follow-up of 6.44 (4.70, 8.85) years, 1 037 all-cause deaths (18.39 %) were documented. The cumulative all-cause mortality in Q1- Q4 groups was 16.52%, 16.51%, 17.59% and 22.93%, respectively, and the difference was statistically significant ( χ2=26.49, P<0.01). In the Cox regression model, compared with Q2 group (reference), the HR (95% CI) for all-cause mortality was 1.06 (0.88-1.28) in the Q1 group, 1.23 (1.02-1.48) in the Q3 group and 1.48 (1.23-1.77) in the Q4 group, respectively ( P for trend<0.01). RCS curve analysis showed that when the TyG index was greater than 8.67, the risk of all-cause mortality increased with the TyG index, and there was a linear relationship between TyG index and all-cause mortality in this patient cohort (non-linearity P=0.31). Conclusion:The elevated TyG index is significantly associated with a higher risk for all-cause mortality in elderly hypertension and coronary artery disease patients.
