Abstract
Background
Insulin resistance (IR), evaluation of which is difficult and complex, is closely associated with cardiovascular disease. Recently, various IR surrogates have been proposed and proved to be highly correlated with IR assessed by the gold standard. It remains indistinct whether different IR surrogates perform equivalently on prognostic prediction and stratification following percutaneous coronary intervention (PCI) in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) patients with and without type 2 diabetes mellitus (T2DM).
Methods
The present study recruited patients who were diagnosed with NSTE-ACS and successfully underwent PCI. IR surrogates evaluated in the current study included triglyceride-glucose (TyG) index, visceral adiposity index, Chinese visceral adiposity index, lipid accumulation product, and triglyceride-to-high density lipoprotein cholesterol ratio, calculations of which were conformed to previous studies. The observational endpoint was defined as the major adverse cardiovascular and cerebrovascular events (MACCE), including cardiac death, non-fatal myocardial infarction, and non-fatal ischemic stroke.
Results
2107 patients (60.02 ± 9.03 years, 28.0% female) were ultimately enrolled in the present study. A total of 187 (8.9%) MACCEs were documented during the 24-month follow-up. Despite regarding the lower median as reference [hazard ratio (HR) 3.805, 95% confidence interval (CI) 2.581–5.608, P < 0.001] or evaluating 1 normalized unit increase (HR 1.847, 95% CI 1.564–2.181, P < 0.001), the TyG index remained the strongest risk predictor for MACCE, independent of confounding factors. The TyG index showed the most powerful diagnostic value for MACCE with the highest area under the receiver operating characteristic curve of 0.715. The addition of the TyG index, compared with other IR surrogates, exhibited the maximum enhancement on risk stratification for MACCE on the basis of a baseline model (Harrell’s C-index: 0.708 for baseline model vs. 0.758 for baseline model + TyG index, P < 0.001; continuous net reclassification improvement: 0.255, P < 0.001; integrated discrimination improvement: 0.033, P < 0.001). The results were consistent in subgroup analysis where similar analyses were performed in patients with and without T2DM, respectively.
Conclusion
The TyG index, which is most strongly associated with the risk of MACCE, can be served as the most valuable IR surrogate for risk prediction and stratification in NSTE-ACS patients receiving PCI, with and without T2DM.
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Background
Insulin resistance (IR), the most important pathogenesis for type 2 diabetes mellitus (T2DM) and metabolic syndrome, has been demonstrated to be closely related to the occurrence, progression, and prognosis of atherosclerotic cardiovascular disease (ASCVD), regardless of the presence of diabetes mellitus [1,2,3,4,5,6]. Therefore, there is undisputedly a demand for precise and prompt quantification of IR, with the aim of early identification of patients at high risk of ASCVD, assessment of disease progression, and risk stratification for adverse outcomes.
The hyperinsulinaemic-euglycaemic (HIEG) clamp, which is the gold standard technique for the evaluation of IR, has been demonstrated to be closely associated with ASCVD by previous studies [7, 8]. However, the defects of operational complexity, time consumption, and expensiveness confined it from extensive clinical application. It has been revealed that IR usually manifests as hyperglycemia, hyperinsulinemia, dyslipidemia, and central obesity (especially increased visceral fat) [6, 9]. Based on the characteristics mentioned above, various surrogate markers calculated from common laboratory and anthropometric parameters, for example, triglyceride-glucose index (TyG index), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), and triglyceride-to-high density lipoprotein cholesterol ratio (TG/HDL-C), have been established to alternatively evaluate the extent of IR and shown to be closely correlated with HIEG clamp [10,11,20, The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request. Insulin resistance Type 2 diabetes mellitus Atherosclerotic cardiovascular disease Hyperinsulinaemic-euglycaemic Triglyceride-glucose Visceral adiposity index Chinese visceral adiposity index Lipid accumulation product Triglyceride-to-high density lipoprotein cholesterol ratio Percutaneous coronary intervention Non-ST-segment elevation acute coronary syndrome Non-ST-segment elevation myocardial infarction Unstable angina Body mass index Waist circumference Coronary artery disease Myocardial infarction Peripheral artery disease Triglyceride Total cholesterol Low-density lipoprotein cholesterol High-density lipoprotein cholesterol High-sensitivity C-reactive protein Estimated glomerular filtration rate Fasting blood glucose Glycosylated hemoglobin A1c Left ventricular ejection fraction Angiotensin-converting enzyme inhibitor Angiotensin receptor blocker The synergy between PCI with taxus and cardiac surgery Major cardiovascular and cerebrovascular events Left main artery Hazard ratio Confidence interval Receiver operating characteristics Area under the ROC curve Net reclassification improvement Integrated discrimination improvement Homeostasis model assessment of insulin resistance Bonora E, Kiechl S, Willeit J, Oberhollenzer F, Egger G, Meigs JB, et al. 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Triglyceride-glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort. Cardiovasc Diabetol. 2021;20(1):19. Not applicable. This work was supported by the grant from National Key Research and Development Program of China (2017YFC0908800); Bei**g Municipal Administration of Hospitals “Mission plan” (SML20180601); Capital’s Funds for Health Improvement and Research (CFH2020-2-2063); KM200910025012; Bei**g Municipal Natural Science Foundation (7202041). QZ made substantial contributions to study design, data analysis, and manuscript writing. Y-JZ made substantial contributions to study design, intellectual direction, and manuscript revision. Y-JC, Y-KX, Z-WZ, CL, and T-NS made substantial contributions to data collection and follow-up. All authors read and approved the final manuscript. The study protocol was endorsed by the Clinical Research Ethics Committee of Bei**g Anzhen Hospital, Capital Medical University. All subjects were informed and agreed to participate in the present study. Not applicable. The authors declare that they have no competing interests. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Additional Tables. Additional Figures. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Zhao, Q., Cheng, YJ., Xu, YK. et al. Comparison of various insulin resistance surrogates on prognostic prediction and stratification following percutaneous coronary intervention in patients with and without type 2 diabetes mellitus.
Cardiovasc Diabetol 20, 190 (2021). https://doi.org/10.1186/s12933-021-01383-7 Received: Accepted: Published: DOI: https://doi.org/10.1186/s12933-021-01383-7Availability of data and materials
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