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Meta-Analysis
. 2025 Aug 4;24(1):317.
doi: 10.1186/s12933-025-02890-7.

Does diabetes status modify the association between the triglyceride-glucose index and major adverse cardiovascular events in patients with coronary heart disease? A systematic review and meta-analysis of longitudinal cohort studies

Affiliations
Meta-Analysis

Does diabetes status modify the association between the triglyceride-glucose index and major adverse cardiovascular events in patients with coronary heart disease? A systematic review and meta-analysis of longitudinal cohort studies

Shicong Xu et al. Cardiovasc Diabetol. .

Abstract

Background: The triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, has been shown to be closely associated with cardiovascular risk. However, it remains unclear whether diabetes status affects the association between the TyG index and the risk of major adverse cardiovascular events (MACEs) in patients with coronary heart disease (CHD). The aim of this study is to systematically evaluate the relationship between the TyG index and MACEs among CHD patients with different diabetes statuses.

Methods: We systematically searched PubMed, the Cochrane Library, Web of Science, and Embase from inception to March 13, 2025, for cohort studies examining the association between TyG and MACEs in patients with CHD with different diabetes statuses. The outcomes included all-cause mortality, nonfatal myocardial infarction, nonfatal stroke, and revascularization. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were extracted for the TyG index as both categorical and continuous variables. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). All the statistical analyses were performed using Stata (version 17.0) and R (version 4.4.1). Depending on heterogeneity, either a fixed-effect or random-effects model was used to pool the data. Subgroup analysis and meta-regression are used to explore the sources of heterogeneity. This study was registered in PROSPERO (CRD: 420251018545).

Results: A total of 36 longitudinal cohort studies comprising 173,851 participants (119,232 with diabetes and 54,619 without diabetes) were included, with 9159 MACEs reported during the follow-up period. In diabetic patients, a higher TyG index significantly increased the risk of MACEs (categorical HR = 1.98, 95% CI 1.61-2.43; continuous HR = 1.57, 95% CI 1.38-1.78), all-cause mortality (HR = 1.74, 95% CI 1.45-2.08), nonfatal myocardial infarction (HR = 2.05, 95% CI 1.52-2.77), nonfatal stroke (HR = 1.73, 95% CI 1.12-2.66), and revascularization (HR = 2.52, 95% CI 1.26-5.04). In nondiabetic patients, a higher TyG index also significantly increased the risk of MACEs (categorical HR = 1.65, 95% CI 1.33-2.05; continuous HR = 1.74, 95% CI 1.46-2.06), all-cause mortality (HR = 1.50, 95% CI 1.18-1.90), nonfatal myocardial infarction (HR = 2.46, 95% CI 1.11-5.47), and revascularization (HR = 2.09, 95% CI 1.57-2.76). However, no association was observed between the TyG index and nonfatal stroke (HR = 1.66, 95% CI 0.88-3.12) in nondiabetic patients.

Conclusion: Higher TyG index values appear to be associated with an increased risk of adverse cardiovascular events, all-cause mortality, nonfatal myocardial infarction, and revascularization in both diabetic and nondiabetic patients with CHD. However, no significant association was found between the TyG index and the risk of nonfatal stroke in nondiabetic patients. These findings suggest that the TyG index may offer potential prognostic value in CHD, but further high-quality prospective studies are warranted to confirm these associations and clarify their clinical implications.

Keywords: Coronary heart disease; Diabetes; Major adverse cardiovascular events; Meta-analysis; Triglyceride‒glucose index.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of literature selection
Fig. 2
Fig. 2
Forest plot of the association between the TyG index and MACEs risk in coronary heart disease patients with diabetes
Fig. 3
Fig. 3
Forest plot of the association between the TyG index and MACEs risk in coronary heart disease patients without diabetes
Fig. 4
Fig. 4
Forest plot of the association between the TyG index and all-cause mortality in coronary heart disease patients across different diabetes statuses
Fig. 5
Fig. 5
Forest plot of the association between the TyG index and nonfatal myocardial infarction in coronary heart disease patients across different diabetes statuses
Fig. 6
Fig. 6
Forest plot of the association between the TyG index and nonfatal stroke in coronary heart disease patients across different diabetes statuses
Fig. 7
Fig. 7
Forest plot of the association between the TyG index and revascularization in coronary heart disease patients across different diabetes statuses
Fig. 8
Fig. 8
Dose‒response meta-analysis curve of the association between the TyG index and MACEs in CHD patients with diabetes

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References

    1. Rafaqat S, Azam A, Hafeez R, Faseeh H, Tariq M, Asif M, Arshad A, Noshair I. Role of interleukins in the pathogenesis of coronary heart disease: a literature review. World J Cardiol. 2025;17(3):103947. - PMC - PubMed
    1. Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019: update from the GBD 2019 study. J Am Coll Cardiol. 2020;76(25):2982–3021. - PMC - PubMed
    1. Wu Z, Cui H, Li W, Zhang Y, Liu L, Liu Z, Zhang W, Zheng T, Yang J. Comparison of three non-insulin-based insulin resistance indexes in predicting the presence and severity of coronary artery disease. Front Cardiovasc Med. 2022;9:918359. - PMC - PubMed
    1. Gajjar M, Mishra MK, Shah TJ, Saiyad SS, Rajput JPS. Triglyceride-glucose index and atherogenic index as alternative biomarkers for glycemic control in type 2 diabetes mellitus. Cureus. 2025;17(3):e81550. - PMC - PubMed
    1. Wang S, Zhang X, Keerman M, Guo H, He J, Maimaitijiang R, Wang X, Ma R, Guo S. Impact of the baseline insulin resistance surrogates and their longitudinal trajectories on cardiovascular disease (coronary heart disease and stroke): a prospective cohort study in rural China. Front Endocrinol (Lausanne). 2023;14:1259062. - PMC - PubMed

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