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Yongkang Kim 1 Article
Diabetes, obesity and metabolism
Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study
Joon Ho Moon, Yongkang Kim, Tae Jung Oh, Jae Hoon Moon, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi, Nam H. Cho
Endocrinol Metab. 2023;38(4):406-417.   Published online August 3, 2023
DOI: https://doi.org/10.3803/EnM.2023.1703
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  • 4 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large communitybased cohort.
Methods
Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD.
Results
Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs.
Conclusion
The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort.

Citations

Citations to this article as recorded by  
  • Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus
    Kaisheng Yuan, Bing Wu, Ruiqi Zeng, Fuqing Zhou, Ruixiang Hu, Cunchuan Wang
    Diabetes, Obesity and Metabolism.2024; 26(1): 169.     CrossRef
  • Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China
    Kaiyong Xiao, Huili Cao, Bin Yang, Zhe Xv, Lian Xiao, Jianping Wang, Shuiqing Ni, Hui Feng, Zhongwei He, Lei Xv, Juan Li, Dongmei Xv
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 850.     CrossRef
  • The association between TyG and all-cause/non-cardiovascular mortality in general patients with type 2 diabetes mellitus is modified by age: results from the cohort study of NHANES 1999–2018
    Younan Yao, Bo Wang, Tian Geng, Jiyan Chen, Wan Chen, Liwen Li
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients
    Tolga Han Efe, Engin Algül
    Biomarkers in Medicine.2024;[Epub]     CrossRef
  • Evaluation of the novel three lipid indices for predicting five- and ten-year incidence of cardiovascular disease: findings from Kerman coronary artery disease risk factors study (KERCADRS)
    Alireza Jafari, Hamid Najafipour, Mitra Shadkam, Sina Aminizadeh
    Lipids in Health and Disease.2023;[Epub]     CrossRef
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