Glucose Triglycerides Index as a Predictor of Severity of Coronary Artery Assessed with Syntax Score I in Acute Coronary Syndrome Patients

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Tego Sulistyono
Triadhy Nugraha
Trisulo Wasyanto


Background: Pre-diabetes is a golden period to prevent and delay the development of diabetes. In coronary heart disease, there are more patients with impaired glucose tolerance than the patients without impaired glucose tolerance, so screening is needed in patients who have risk factors for cardiovascular disease. Assessment of insulin resistance is a "fundamental goal" that has a large value of prevention. Triglyceride Glucose (TyG) index is a surrogate marker of insulin resistance that can be applied to the community as a practical and efficient screening method.

Aim: The purpose of this study was to assess TyG index for the severity of coronary arteries as assessed by SYNTAX score I in ACS patients.

Methods: This study was an analytic cross-sectional study with a sample of 36 ACS patients who underwent coronary angiography (CAG) examinations in the catheterization laboratory of General Hospital Dr. Moewardi. The mean value of coronary artery severity was assessed using SYNTAX Score I. Subjects were then divided into two groups and then associated TyG index with coronary artery severity assessed by SYNTAX score I. A p value <0.05 was considered statistically significant.

Results: In this study, the best TyG index value in predicting the severity of coronary arteries is a cut-off value of 8.67 (AUC 0.738) with a specificity of 70.00% and sensitivity of 69.23%. Multivariate logistic regression analysis showed that TyG index was an independent predictor of a high SYNTAX scores (OR 5.25, 95% CI 1.07 - 25.70).

Conclusion: The TyG index shows good sensitivity and specificity to classify the degree of coronary severity in ACS patients with pre-diabetes.

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