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Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults.
Cui, Cancan; Qi, Yitian; Song, Jiayin; Shang, Xinyun; Han, Tianjiao; Han, Ning; Yue, Siqi; Zha, Yining; Xu, Zhonghang; Li, Jiannan; Liu, Lin.
Affiliation
  • Cui C; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Qi Y; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Song J; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Shang X; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Han T; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Han N; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Yue S; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
  • Zha Y; Harvard T H Chan School of Public Health, Boston, USA.
  • Xu Z; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China. xzh20@mails.jlu.edu.cn.
  • Li J; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China. li_jiannan@jlu.edu.cn.
  • Liu L; China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China. liulin99@jlu.edu.cn.
Cardiovasc Diabetol ; 23(1): 185, 2024 May 29.
Article in En | MEDLINE | ID: mdl-38812015
ABSTRACT

BACKGROUND:

Triglyceride and glucose (TyG) index, a surrogate marker of insulin resistance, has been validated as a predictor of cardiovascular disease. However, effects of TyG-related indices combined with obesity markers on cardiovascular diseases remained unknown. We aimed to investigate the associations between TyG index and modified TyG indices with new-onset cardiovascular disease and the time-dependent predictive capacity using a national representative cohort.

METHODS:

This study is a retrospective observational cohort study using data from China Health and Retirement Longitudinal Study (CHARLS) of 7 115 participants. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The modified TyG indices were developed combining TyG with body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). We used adjusted Cox proportional hazards regression to analyze the association and predictive capacity based on hazard ratio (HR) and Harrell's C-index.

RESULTS:

Over a 7-year follow-up period, 2136 participants developed cardiovascular disease, including 1633 cases of coronary heart disease and 719 cases of stroke. Compared with the lowest tertile group, the adjusted HR (95% CI) for new-onset cardiovascular disease in the highest tertile for TyG, TyG-BMI, TyG-WC, and TyG-WHtR were 1.215 (1.088-1.356), 1.073 (0.967-1.191), 1.078 (0.970-1.198), and 1.112 (1.002-1.235), respectively. The C-indices of TyG index for cardiovascular disease onset were higher than other modified TyG indices. Similar results were observed for coronary heart disease and stroke.

CONCLUSION:

TyG and TyG-WhtR were significantly associated with new-onset cardiovascular diseases, and TyG outperformed the modified TyG indices to identify individuals at risk of incident cardiovascular event.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triglycerides / Blood Glucose / Biomarkers / Cardiovascular Diseases Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Cardiovasc Diabetol Journal subject: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triglycerides / Blood Glucose / Biomarkers / Cardiovascular Diseases Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Cardiovasc Diabetol Journal subject: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Year: 2024 Document type: Article Affiliation country: China