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The Correlation Between Triglyceride-Glucose Index (TyG Index) With the Severity of Acute New-Onset Heart Failure
Levina Felicia1, Nida Suraya1, Ratu Purwanti1
1Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, unpad.ac.id.
Insights
The triglyceride-glucose (TyG) index strongly correlates with acute new-onset heart failure (NOHF) severity in acute myocardial infarction (AMI) patients. Higher TyG index levels indicate increased NOHF severity, as assessed by the Killip classification.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Clinical Research
Background:
- Cardiovascular disease is a leading cause of death in Indonesia, with acute myocardial infarction (AMI) having a high mortality rate.
- Heart failure is a common complication of AMI, significantly increasing mortality risk.
- The triglyceride-glucose (TyG) index, a marker for insulin resistance, is implicated in cardiovascular disease pathogenesis.
Purpose of the Study:
- To investigate the correlation between triglyceride-glucose (TyG) index levels and the severity of acute new-onset heart failure (NOHF) in AMI patients.
- To assess the relationship between TyG index and the Killip classification in AMI patients.
Main Methods:
- A cross-sectional analytical observational study was conducted on 100 adult AMI patients.
- Fasting blood glucose and triglyceride levels were measured within 72 hours of admission.
- Data were analyzed using the Spearman test to determine correlations.
Main Results:
- A strong positive correlation (r=0.746, p<0.001) was observed between the TyG index and NOHF severity based on the Killip classification.
- Patients in Killip Class IV exhibited the highest triglyceride and glucose levels.
- Comorbidities like diabetes mellitus, hypertension, and smoking were significantly related to Killip classification.
Conclusions:
- The triglyceride-glucose (TyG) index is a strong positive predictor of acute new-onset heart failure severity in AMI patients.
- The TyG index correlates with the Killip classification, offering prognostic value.
Background:
Cardiovascular disease is the leading cause of morbidity and mortality in Indonesia, in which acute myocardial infarction (AMI) has an estimated mortality rate of 9.2%. Heart failure is the most common complication of AMI and increases the risk of death by 3-4 times. The Killip classification assesses the severity and prognosis of acute new-onset heart failure (NOHF) in AMI patients: Class I (6% mortality), Class II (17%), Class III (38%), and Class IV (81%). The triglyceride-glucose (TyG) index, a reliable marker for insulin resistance, is linked to cardiovascular disease pathogenesis. Several studies showed that the TyG index can predict the development of cardiovascular events.
Aim:
This study aims to determine the correlation between TyG index levels and the severity of acute NOHF complications in patients with acute myocardial infarction based on the Killip classification.
Methods:
This cross-sectional analytical observational study involved adult patients with AMI diagnoses in the ER of Dr. Hasan Sadikin Hospital, Bandung, in January-December 2023, who had fasting blood glucose and triglyceride examinations within 72 h of admission and had been assessed with Killip classification. Data analysis was performed using the Spearman test using SPSS software version 25.0.
Results:
This study included 100 AMI patients who met the inclusion and exclusion criteria. Significant relationships were found between comorbidities (diabetes mellitus, hypertension, and smoking) and patient outcomes against Killip classification. Killip Class I had the most improved outcomes (54 patients). Killip Class IV (10 patients) had the most deaths and highest triglycerides and glucose levels. The TyG index showed a strong positive correlation with acute NOHF severity in patients with AMI based on the Killip classification (r = 0.746, p < 0.001).
Conclusion:
The TyG index has a strong positive correlation with the severity of acute NOHF in patients with acute myocardial infarction based on the Killip classification.
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