European Journal of Medical Research (Feb 2024)

Association of triglyceride glucose index with cardiovascular events: insights from the Isfahan Cohort Study (ICS)

  • Hamed Rafiee,
  • Noushin Mohammadifard,
  • Fatemeh Nouri,
  • Ghazaal Alavi Tabatabaei,
  • Jamshid Najafian,
  • Masoumeh Sadeghi,
  • Maryam Boshtam,
  • Hamidreza Roohafza,
  • Fahimeh Haghighatdoost,
  • Razieh Hassannejad,
  • Nizal Sarrafzadegan

DOI
https://doi.org/10.1186/s40001-024-01728-4
Journal volume & issue
Vol. 29, no. 1
pp. 1 – 9

Abstract

Read online

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.

Keywords