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Predictive Value of the Triglyceride-Glucose Index (TyG Index) for Major Cardiac Events in Patients With Chronic
Md Fakhrul Hasan1, Manzoor Mahmood2, Mohmmad D Selim3
1Department of Cardiology, National Institute of Cardiovascular Diseases, Dhaka, BGD.
Insights
The triglyceride-glucose (TyG) index effectively predicts major adverse cardiac events (MACEs) in patients with chronic heart failure and type 2 diabetes. This simple marker aids risk stratification in clinical practice.
Area of Science:
- Cardiology
- Endocrinology
- Metabolic Syndrome
Background:
- Coexisting chronic heart failure (CHF) and type 2 diabetes mellitus (T2DM) significantly increase the risk of major adverse cardiac events (MACEs).
- Insulin resistance is a key factor in this elevated risk, but its direct assessment is challenging in routine clinical settings.
- The triglyceride-glucose (TyG) index, calculated from fasting glucose and triglyceride levels, serves as a practical surrogate marker for insulin resistance.
Purpose of the Study:
- To evaluate the predictive capability of the triglyceride-glucose (TyG) index for MACE in patients diagnosed with both CHF and T2DM.
- To assess the TyG index's utility as a prognostic tool in this high-risk patient population.
Main Methods:
- A prospective observational study involving 83 adult patients with confirmed CHF and T2DM over a six-month follow-up period.
- Calculation of the TyG index using fasting glucose and triglyceride levels.
- Adjudication of MACEs (cardiovascular death, heart-failure hospitalization, ischemic events) by blinded cardiologists.
- Statistical analyses including group comparisons, quartile analysis, and receiver operating characteristic (ROC) curve analysis.
Main Results:
- A high incidence of MACEs (83.1%) was observed, primarily driven by heart-failure-related hospitalizations (80.7%).
- Patients experiencing MACEs exhibited significantly higher TyG index values compared to those without MACEs (6.8 ± 0.7 vs. 5.8 ± 0.6; p=0.001).
- Higher quartiles of the TyG index were significantly associated with increased mortality and heart-failure hospitalization (p<0.05).
- ROC analysis revealed excellent predictive accuracy for MACE (AUC=0.890), with an optimal cutoff of ≥6.30.
Conclusions:
- The triglyceride-glucose (TyG) index demonstrates strong predictive value for MACE in patients with concurrent CHF and T2DM.
- The TyG index's simplicity and accessibility make it a valuable tool for routine risk stratification, especially in resource-limited environments.
- Integrating the TyG index into clinical practice can improve prognostic assessment for this vulnerable patient group.
Introduction:
Chronic heart failure (CHF) with coexisting type 2 diabetes mellitus (T2DM) confers a markedly elevated risk of major adverse cardiac events (MACEs). Insulin resistance plays a central pathophysiological role in this excess risk, yet direct assessment remains impractical in routine care. The triglyceride-glucose (TyG) index, a straightforward surrogate indicator of insulin resistance derived from fasting glucose and triglyceride levels, has emerged as a potential prognostic tool. This study evaluated the predictive value of the TyG index for MACE in patients with CHF and T2DM.
Method:
This prospective observational study was conducted at a tertiary care cardiology center in Bangladesh from July 2023 to August 2024. Eighty-three adults with confirmed CHF and T2DM were enrolled and followed for six months. Baseline clinical, echocardiographic, and biochemical parameters were recorded, and the TyG index was calculated using a validated formula. Major adverse cardiac events, including cardiovascular death, heart-failure-related hospitalization, and ischemic cardiac events, were adjudicated by blinded cardiologists. Group comparisons, quartile analysis, and receiver operating characteristic (ROC) curve analysis were performed to evaluate the prognostic performance.
Results:
Major adverse cardiac events occurred in 69 (83.1%) of patients, predominantly due to heart-failure-related hospitalization in 67 (80.7%). The TyG index was significantly higher in patients with MACE compared with those without MACE (6.8 ± 0.7 vs. 5.8 ± 0.6; p=0.001). Higher TyG quartiles were significantly associated with mortality and heart-failure hospitalization (p<0.05). ROC analysis demonstrated excellent predictive accuracy for MACE (AUC=0.890; 95% CI: 0.818-0.962), with an optimal cutoff of ≥6.30 yielding 53/69 (76.8%) sensitivity and 13/14 (92.9%) specificity.
Conclusion:
The TyG index is a strong and clinically useful predictor of major adverse cardiac events in patients with coexisting CHF and T2DM. Its simplicity and accessibility support its integration into routine risk stratification, particularly in resource-limited settings.
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