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Association of Triglyceride Glucose Index With Cardiovascular Events: Insights From the Isfahan Cohort Study (Ics) Publisher Pubmed



Rafiee H1 ; Mohammadifard N2 ; Nouri F1 ; Alavi Tabatabaei G2 ; Najafian J3 ; Sadeghi M4 ; Boshtam M5 ; Roohafza H1 ; Haghighatdoost F6 ; Hassannejad R1 ; Sarrafzadegan N1, 7
Authors
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Authors Affiliations
  1. 1. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  5. 5. Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  6. 6. Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, 81745-15, Iran
  7. 7. Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, Canada

Source: European Journal of Medical Research Published:2024


Abstract

Background: There is limited evidence regarding the evaluation of the association between the triglyceride glucose (TyG) index, an indicator of insulin resistance, and the incident risk of cardiovascular disease (CVD). Therefore, we aimed to examine the relationship between the TyG index and CVD incidence in a cohort of Iranian adults. Methods: This study was performed in the framework of the Isfahan Cohort Study (ICS). The study population included 5,432 individuals aged ≥ 35 years. CVD events, including acute myocardial infarction (MI), stroke, and unstable angina (UA), were diagnosed by physicians. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The relationship between the TyG index and CVD events was investigated using Cox regression models. Receiver operating characteristics (ROC) curve analysis was used to determine the best cut-off for the TyG index for predicting CVD outcomes. Results: During a median follow-up period of 11.2 years, a total number of 819 CVD, 164 MI, 172 stroke, and 384 UA were recorded. Following adjustment for multiple confounders, elevated TyG levels were associated with a higher risk of CVD (HR = 1.48; 95% CI 1.22–1.79; p < 0.001), MI (HR = 2.24; 95% CI 1.42–3.52; p < 0.001), stroke (HR = 1.45; 95% CI 0.96–2.19; p = 0.042), but not UA (HR = 1.28; 95% CI 0.96–1.69). The optimal TyG index cut-off was 8.91 for predicting CVD (sensitivity 58%; specificity 58%), 9.04 for predicting MI (sensitivity 57%; specificity 65%), 8.92 for predicting stroke (sensitivity 57%; specificity 57%), and 8.98 for predicting UA (sensitivity 53%; specificity 61%). Conclusion: We found a robust, direct association between the TyG index and the incidence of CVD events. This emphasizes the significance of observing the TyG index as an indicator of the occurrence of CVD events. © The Author(s) 2024.
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