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TyG indices associated with coronary artery disease risk in first-time angiography patientsYour Blood Sugar and Fat Levels Together May Signal Heart Attack Risk

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Key Takeaway
Note that TyG-related indices associate with CAD risk but require validation before clinical use.

This retrospective observational cohort study analyzed data from 3,641 patients who underwent coronary angiography for the first time. The primary exposure included the TyG index and six related indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-CI, TyG-WWI, and TyG-BRI), compared against the TyG index alone. The primary outcome was the risk of coronary artery disease (CAD), while secondary outcomes included predictive ability (AUC) and the mediating role of glycated hemoglobin (HbA1c). No safety data or adverse events were reported in this analysis.

Statistical analysis revealed that all TyG-related indices were significantly positively associated with CAD risk. The TyG index showed an odds ratio (OR) of 1.642 (95% CI, 1.447–1.866). Specific indices yielded the following ORs: TyG-BMI (1.010, 95% CI, 1.007–1.012), TyG-WC (1.392, 95% CI, 1.289–1.504), TyG-WHtR (1.839, 95% CI, 1.621–2.087), TyG-CI (1.233, 95% CI, 1.168–1.301), TyG-WWI (1.027, 95% CI, 1.020–1.033), and TyG-BRI (1.029, 95% CI, 1.022–1.037). Nonlinear relationship testing indicated a significant nonlinear association for TyG-related indices (P-nonlinear ≤ 0.001) but a linear relationship for the TyG index alone (P-nonlinear = 0.053).

Mediation analysis demonstrated that HbA1c partially mediated the relationship between TyG indices and CAD risk, with a contribution rate of 27.86%. Regarding predictive ability, TyG-WHtR exhibited similar performance to the TyG index, whereas other combinations demonstrated lower efficacy. The study authors note that the clinical applicability of these TyG-related indices requires further validation to avoid over-interpretation. Given the retrospective observational nature of the study, these findings represent associations rather than causal effects.

Why Heart Disease Still Catches People Off Guard

Coronary artery disease (CAD) — the buildup of fatty plaques in the arteries that feed the heart — is the world's leading cause of death. Yet many people who suffer heart attacks had no idea they were in danger. Existing risk tools catch some cases, but they often miss people whose risk is driven by insulin resistance (when the body doesn't use blood sugar efficiently) rather than just high cholesterol.

This gap matters because insulin resistance is rising fast, driven by diets high in refined carbohydrates and sugar, physical inactivity, and increasing rates of obesity. Catching this type of risk earlier could help millions of people take action before serious damage occurs.

The Old Approach and What It Misses

Standard cardiac risk calculators focus on age, blood pressure, smoking, and LDL cholesterol (the "bad" type). These work reasonably well for some patients, but they were not designed to capture the metabolic picture — the complex way that fat metabolism, blood sugar regulation, and body weight interact to damage arteries over time.

But here's the twist: a growing body of research suggests that combining triglycerides (a type of fat in the blood) and fasting glucose (blood sugar measured after not eating) into a single index — the TyG index — captures something important that the old measures miss. And this study went further, combining the TyG index with multiple measures of body size and fat distribution to see which combinations predict heart disease best.

Think of the TyG index like a two-ingredient recipe for arterial stress. Triglycerides and glucose each cause problems on their own when elevated. But together, they signal a state of metabolic imbalance — the body is struggling to manage both fat and sugar — that is particularly damaging to artery walls.

When both numbers are high, the lining of blood vessels becomes inflamed and sticky. Fat molecules get trapped in artery walls more easily. Over time, this process builds the plaques that narrow or block coronary arteries. The TyG index captures this combined stress in a single number that is easy to calculate from a routine blood draw.

Who Was Studied

This retrospective observational study analyzed records from 3,641 patients who underwent coronary angiography (a procedure using dye and imaging to examine the heart's arteries directly) for the first time at a hospital in China. Researchers used multiple statistical methods to test how well the TyG index — and seven variations that combined it with measures of body size — predicted whether patients had coronary artery disease.

The TyG index alone was a strong predictor of CAD. Patients with higher TyG scores were about 64 percent more likely to have coronary artery disease than those with lower scores, after adjusting for other risk factors like age, sex, smoking, and blood pressure.

When researchers combined the TyG index with a measure called the waist-to-height ratio (a simple way to estimate how much fat is carried around the middle), the combined score performed about as well as TyG alone. Other body-size combinations were less accurate. Importantly, the analysis also showed that a blood marker called HbA1c — which reflects average blood sugar over the past three months — partially explains the connection between TyG and heart disease. About 28 percent of TyG's effect on heart disease risk appears to work through this blood sugar pathway.

This doesn't mean the TyG index is ready to replace existing risk calculators — it means it may be a useful addition to them.

What Experts Are Making of This

The finding that HbA1c partially mediates the TyG-CAD relationship is significant. It suggests that blood sugar control is not just a consequence of metabolic problems — it may be one of the key mechanisms connecting metabolic dysfunction to artery damage. This supports the idea that managing blood sugar aggressively, even in people who do not yet have diabetes, could reduce cardiovascular risk. The research adds to a body of evidence pushing toward more metabolically informed heart risk assessment.

If you have a history of high triglycerides or blood sugar, or if you have been told you are at risk for or have prediabetes, ask your doctor to review your complete metabolic panel in the context of your heart health. The TyG index is not a standard part of most cardiac risk assessments yet, but the numbers needed to calculate it are often already in your lab work. This is also a strong argument for weight management and dietary changes that lower both triglycerides and blood sugar — a two-for-one benefit for heart health.

Limitations to Be Aware Of

This was a retrospective study — meaning researchers looked back at existing records rather than following patients forward over time. That design cannot prove that high TyG causes heart disease, only that the two are associated. The study was conducted at a single center in China, so the findings may not apply equally to other populations. The authors also caution that combining TyG with body-size measures needs further validation before clinical use.

Prospective studies — where patients are enrolled and followed forward in time — are needed to confirm whether the TyG index can reliably predict future heart attacks, not just current artery disease. Researchers are also investigating whether interventions that specifically lower TyG (such as dietary changes, exercise programs, or certain medications) can reduce CAD risk in parallel. The ultimate goal is a richer, more personalized risk calculator that reflects the full metabolic picture — not just the numbers that have been standard since the 1970s.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
BackgroundThe Triglyceride-Glucose (TyG) index has been recognized as an independent predictor of cardiovascular disease (CVD) risk. However, the combined effect of TyG index with obesity indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), weight-adjusted waist index (WWI), and body roundness index (BRI), on CVD risk remains inconsistent across different studies. This study aims to evaluate the relationship between TyG index and its related indices with the risk of coronary artery disease (CAD) and explore the mediating role of glycated hemoglobin (HbA1c) in this association.MethodsThis study included patients who underwent coronary angiography for the first time. Logistic regression models, restricted cubic spline (RCS) regression, and threshold effect analysis were used to assess the relationship between the TyG index and its related indices with the risk of CAD. The area under the curve (AUC) for each index was calculated using receiver operating characteristic (ROC) curves, and AUC differences were compared using DeLong’s test. Stratified analysis was performed to validate the robustness of the results, and mediation analysis was conducted to evaluate the mediating role of HbA1c in the relationship between TyG index, its related indices, and CAD risk.ResultsThis retrospective observational study included a total of 3, 641 participants. After adjusting for covariates, the TyG index and its related indices were significantly positively associated with CAD (TyG: OR = 1.642, 95% CI = 1.447, 1.866; TyG-BMI: OR = 1.010, 95% CI = 1.007, 1.012; TyG-WC: OR = 1.392, 95% CI = 1.289, 1.504; TyG-WHtR: OR = 1.839, 95% CI = 1.621, 2.087; TyG-CI: OR = 1.233, 95% CI = 1.168, 1.301; TyG-WWI: OR = 1.027, 95% CI = 1.020, 1.033; TyG-BRI: OR = 1.029, 95% CI = 1.022, 1.037). A linear relationship was observed between TyG index and CAD risk (P-nonlinear = 0.053). A nonlinear relationship was found between TyG-related indices in relation to CAD risk (P-nonlinear ≤ 0.001). Threshold effect analysis showed that after surpassing a certain threshold, the association between TyG-related indices and CAD risk became more significant. ROC analysis revealed that TyG-WHtR had similar predictive ability to the TyG index, while other combinations had lower predictive efficacy than the TyG index alone. Subgroup analyses across different strata consistently demonstrated significant associations between TyG index and its related indices and CAD risk. Mediation analysis showed that HbA1c partially mediated the relationship between TyG index and its related indices with CAD risk, with the highest contribution rate being 27.86%.ConclusionThe TyG index and its related indices are significantly associated with the risk of CAD, and HbA1c partially mediates this relationship. Furthermore, the clinical applicability of TyG-related indices need further validation to avoid over-interpretation.
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