Evaluating the TyG Index’s Role to Predict Cardiovascular Risk Score

Oeij Henri Wijaya; Yusuf Aji Samudera Nurrobi; Nabilah Hanifah Mukti; Patrick Kurniawan Chandra Saputra; Muhammad Iqbal

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Evaluating the TyG Index’s Role to Predict Cardiovascular Risk Score

Author: Oeij Henri Wijaya ¹ ; Yusuf Aji Samudera Nurrobi ² ; Nabilah Hanifah Mukti ³ ; Patrick Kurniawan Chandra Saputra ⁴ ; Muhammad Iqbal ⁵
Author Information

1. Department of Cardiology and Vascular Medicine, National Cardiovascular Center Harapan Kita Hospital, 11420 Jakarta, Indonesia. Department of Cardiology and Vascular Medicine, Pertamina Hospital Balikpapan, 76111 Prapatan, Balikpapan, Indonesia.
2. Department of Cardiology and Vascular Medicine, Pertamina Hospital Balikpapan, 76111 Prapatan, Balikpapan, Indonesia. Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga - Dr. Soetomo General Hospital, 60286 Surabaya, Indonesia.
3. Faculty of Medicine, Universitas Brawijaya Malang, 65145 Lowokwaru, Malang, Indonesia
4. Mardi Rahayu General Hospital, 59346 Jati, Kudus, Indonesia.
5. Department of Cardiology and Vascular Medicine, Pertamina Hospital Balikpapan, 76111 Prapatan, Balikpapan, Indonesia.
Publication Type:Journal Article
Keywords: Metabolic syndrome; Insulin resistance; Cardiovascular diseases; Risk ssessment; Cardiovascular risk
From:Malaysian Journal of Medicine and Health Sciences 2026;22(Supp 1):1-6
CountryMalaysia
Language:English
Abstract: Introduction: The Triglycerides-Glucose Index (TyG), as a cost-effective and novel biomarker for insulin resistance, plays a pivotal role in the pathogenesis of heart disease. This study aims to assess the TyG’s capacity to predict cardiovascular risk. To investigate the correlation between the TyG and the 10-year risk of heart disease determined by the Framingham Risk Score (FRS). Materials and methods: A comprehensive study of 3,832 Indonesian participants (aged 19-65, Male 3,415). TyG Index threshold determined by ROC curve analyses. Its relationship with cardiovascular risk was assessed using the chi-square test and bivariate correlation analysis. Results: 3,832 participants (1,647 with high TyG≥8.7795, mean age 38.86). There was a significant association between TyG Index and FRS (P=0.02, sensitivity 0.53 specificity 0.57 PR 1.537). TyG-BMI and FRS (P<0.001, sensitivity 0.63, specificity 0.55, PR 2.18). METS-IR (P<0.001, sensitivity 0.59, specificity 0.55, PR 1.862), treadmill exercise test and FRS (P<0.025, sensitivity 0.07, specificity 0.96, PR 2). Bivariate correlation analysis between FRS and TyG, TyG BMI, METS-IR, SBP, heart rate, weight, waist circumference, and fasting blood glucose (P<0.001). In subgroup analyses, there was no significant correlation between TyG Index and FRS in the diabetes and hypertension groups (P=0.360, P=0.344). Conclusion: This study shows a strong connection between the Triglycerides-Glucose Index and an elevated 10-year cardiovascular disease risk as determined by Framingham Risk Score. The effectiveness of The TyG Index in predicting cardiovascular risk is affected by hypertension and diabetes.
Full text:2026051910084684515202602101550271_MJMHS_0615.pdf