Abstract
Background: Dyslipidemia and insulin resistance are major risk factors for coronary artery disease (CAD).
Objective: To evaluate the association between triglyceride-glucose (TyG) index and novel atherogenicity
indices with the incidence and severity of coronary artery disease.
Materials and methods: A cross-sectional descriptive study was conducted on 246 participants, including 147 with CAD with coronary artery stenosis of more than 50% measured by coronary angiography and 99 control subjects with no symptoms, abnormal electrocardiogram, echocardiogram and cardiac troponin T (control group). Participants were surveyed by questionnaire, clinical examination and biochemical tests.
Results: AIP index, Castelli risk index, non-HDL-C, RLPC, LCI, TyGVB, CHOLINDEX, METS-IR and TyG index were significantly higher in the group with CAD compared with the control group (p < 0.05). In multivariate analysis, TyG, AIP, non-HDL-C, CRI-I, CRI-II indices were higher in CAD patients. ROC analysis showed that the AIP index cut off of 0.1 had a sensitivity of 67.3% and a specificity of 62.6% in predicting CAD risk, while the TyG index cut off of 8.2 had a sensitivity of 39.5% and a specificity of 83.8%. TyG index, METS-IR, RLPC, AIP, and LCI were significantly higher in multi-vessels coronary artery disease group.
Conclusion: Non-traditional lipid indices such as the AIP and TyG indices showed significant differences in predicting CAD risk and multi-vessels coronary artery disease. The TyG and AIP indices may serve as promising biomarkers for predicting CAD, but larger studies are needed in the future.
| Published | 2026-03-30 | |
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| Issue | Vol. 16 No. 1 (2026) | |
| Section | Original Articles | |
| DOI | 10.34071/jmp.2025.6.1023 | |
| Keywords | Bệnh động mạch vành, chỉ số sinh vữa xơ động mạch huyết tương (AIP), chỉ số triglyceride-glucose (TyG) Coronary artery disease, plasma atherosclerosis index (AIP), triglyceride-glucose index (TyG) |

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Byrne R, Xavier Rossello J, Barbato EJEHJ. Roberto E, ESC Scientific Document Group, 2023 ESC guidelines for the management of acute coronary syndromes: developed by the task force on the management of acute coronary syndromes of the European Society of Cardiology (ESC); 2023.
Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, et al. Heart disease and stroke statistics-2021 update: a report from the American Heart Association; 2021.
Visseren F, Mach F, Smulders Y, Carballo D, Koskinas K, Bäck M, et al. ESC National Cardiac Societies; ESC Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice; 2021.42(34):3227-337.
Zhu L, Lu Z, Zhu L, Ouyang X, Yang Y, He W, et al. Lipoprotein ratios are better than conventional lipid parameters in predicting coronary heart disease in Chinese Han people; 2015.73(10):931-8.
Wu X, Qiu W, Yang H, Chen Y-J, Liu J, Zhao GJCD. Associations of the triglyceride-glucose index and atherogenic index of plasma with the severity of new-onset coronary artery disease in different glucose metabolic states; 2024.23(1):76.
Kurklu HA, Tan TS, Ozyuncu N, Baskovski E, Ozdol CJD. Atherogenic index of plasma predicts obstructive coronary artery disease in patients with stable angina pectoris; 2023.13(20):3249.
Kurklu HA, Tan TS, Ozyuncu N, Baskovski E, Ozdol C. Atherogenic index of plasma predicts obstructive coronary artery disease in patients with stable angina pectoris. Diagnostics; 2023. 13(20):3249.
Mahdavi-Roshan M, Mozafarihashjin M, Shoaibinobarian N, Ghorbani Z, Salari A, Savarrakhsh A, et al. Evaluating the use of novel atherogenicity indices and insulin resistance surrogate markers in predicting the risk of coronary artery disease: a case‒control investigation with comparison to traditional biomarkers. Lipids in Health Disease; 2022.21(1):126.
Okan T, Doruk M, Ozturk A, Topaloglu C, Dogdus M, Yilmaz MB. Evaluation of Plasma Atherogenic Index, Triglyceride-Glucose Index and Other Lipid Ratios as Predictive Biomarkers of Coronary Artery Disease in Different Age Groups. Diagnostics; 2024.14(14).
Guo X, Ma LJCAD. Inflammation in coronary artery disease-clinical implications of novel HDL-cholesterol–
related inflammatory parameters as predictors; 2023.34(1):66-77.
Scott DA, Ponir C, Shapiro MD, Chevli PAJAJoPC. Associations between insulin resistance indices and subclinical atherosclerosis: A contemporary review; 2024.100676.
Minh Huynh Van, Tien Hoang Anh, Sinh CT, Thang DC, Chen CH, Tay JC, et al. Assessment of preferred methods to measure insulin resistance in Asian patients with hypertension; 2021.23(3):529-37.
Yang L, Peng Y, Zhang ZJCjoA. The predictive value of triglyceride–glucose index for assessing the severity and MACE of premature coronary artery disease; 2024.2.
Tian X, Chen S, Zuo Y, Zhang Y, Zhang X, Xu Q, et al. Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease; 2022.20(1):383.







