Your browser doesn't support javascript.
loading
[Prospective cohort study of the association of cardiovascular disease with triglyceride glucose index and triglyceride glucose-related indicators].
Wang, S L; Zhang, X H; Mulati, Bieke; Guo, H; He, J; Re, Mina; Wang, X P; Ma, R L; Guo, S X.
Afiliação
  • Wang SL; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Zhang XH; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Mulati B; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Guo H; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • He J; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Re M; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Wang XP; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Ma RL; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China.
  • Guo SX; Department of Public Health, Shihezi University School of Medicine, Shihezi 832000, China National Health Commission Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, Shihezi 832000, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 44(12): 1943-1949, 2023 Dec 10.
Article em Zh | MEDLINE | ID: mdl-38155096
ABSTRACT

Objective:

To investigate the association of cardiovascular diseases (CVD) with triglyceride glucose index (TyG) and TyG-related indicators in Uyghur populations of The Xinjiang Production and Construction Corps.

Methods:

Based on the cohort of the Uygur population of The Xinjiang Production and Construction Corps, 11 833 study subjects were included. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in each quartile of TyG and TyG-related indicators. Cox proportional hazards regression model was used to evaluate the relationship between TyG and CVD, TyG-related indicators and CVD. Framingham CVD risk score model (Framingham model) was used to evaluate whether the addition of TyG and TyG-related indicators could improve the predictive ability of the model. The potential mediating role of the TyG in the association between obesity and CVD was examined through mediation effect analysis.

Results:

The average age of the subjects was (37.00±13.67) years-old, and 51.0% were male. The median follow-up time was 5.67 years, with 1 288 CVD events. The cumulative incidence of CVD increased with the increase of TyG and TyG-related indicators quartiles, and compared with the Q1 group, the risk of CVD in the Q4 group of TyG, TyG-BMI, and TyG-WHtR increased by 20% (HR=1.20, 95%CI 1.01-1.42), 77% (HR=1.77, 95%CI 1.46-2.16) and 68% (HR=1.68, 95%CI 1.36-2.09), respectively. After adding TyG, TyG-BMI, and TyG-WHtR to the Framingham model, respectively, the model's area under the curve, net reclassification improvement, and integrated discrimination improvement were improved. In the association between BMI, WHtR, and CVD, the proportion of mediating effects mediated by the TyG index was 10.55% and 11.50%.

Conclusions:

Elevated levels of TyG and TyG-related indicators were strongly associated with the risk of CVD in the Uyghur population of The Xinjiang Production and Construction Corps, with TyG-BMI being the most closely correlated with CVD. Early monitoring of TyG-BMI helps identify high-risk groups of CVD.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Limite: Adult / Female / Humans / Male / Middle aged Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi / Zhonghua liuxingbingxue zazhi Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Limite: Adult / Female / Humans / Male / Middle aged Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi / Zhonghua liuxingbingxue zazhi Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: China