Relationship Between Nonobstructive Coronary Arteries and Metabolic Parameters

Abstract

Aim: The atherogenic index of plasma (AIP) and triglyceride-glucose (TyG) index are strongly associated with atherogenesis of the coronary artery. However, the relationship between these metabolic parameters and ischaemia with nonobstructive coronary artery diseases (INOCA) is unknown. Therefore, we aimed to investigate the relationship between AIP and TyG index and INOCA patients. Material and Method: A total of 529 patients were enrolled in this study and assigned to the INOCA group (n=264) and control group (n=265). The clinical data and calculated AIP, TyG index, were collected. Multivariate logistic regression was set up to assess the AIP and TyG indices for INOCA. Results: The optimal cut-off value of TyG for predicting INOCA was 8.87 with a sensitivity of 52.24% and a specificity of 70% ([AUC]: 0.634 [95% CI: 0.592–0.675, p=0.023]). The optimal cutoff value of AIP for predicting INOCA was 0.54 with a sensitivity of 45.15% and a specificity of 70.57% ([AUC]: 0.590 [95% CI: 0.547–0.632, p=0.025]). When the ROC curves of TyG and AIP are compared, it is seen that TyG is a better predictor ([Difference between areas]: 0.045 [95% CI: 0.0180–0.0711, p=0.001]). Conclusion: AIP and TyG index were significantly higher in the INOCA group when compared to the control group. In addition, the main finding was that when the metabolic parameters TyG index and AIP were compared with each other, the TyG index provided a stronger prediction and was found to be an independent risk factor for INOCA.

Keywords

• atherogenic index of plasma
• triglyceride-glucose index; ischaemia with no obstructive coronary arteries (INOCA);
• coronary artery disease

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