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Published on: January 28, 2020
Triglyceride Glucose Body Mass Index as 3 Year Prognostic Indicator for Major Adverse Cardiovascular and
Yan Yang1, Yong Wang2, Xiao-Yang Pei2
1Department of General Practice, The Hospital Affiliated to Inner Mongolia Minzu University, Tongliao, People's Republic of China.
Insights
The triglyceride glucose-body mass index (TyG-BMI) is an independent predictor of major adverse cardiovascular and cerebrovascular events (MACCEs) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI). Higher TyG-BMI levels correlate with increased MACCE risk.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Clinical Research
Background:
- Previous research linked triglyceride glucose-body mass index (TyG-BMI) to cardiovascular mortality in peritoneal dialysis patients.
- The predictive role of TyG-BMI in acute myocardial infarction (AMI) prognosis was previously unclear.
Purpose of the Study:
- To investigate the association between TyG-BMI and major adverse cardiovascular and cerebrovascular events (MACCEs) in patients with AMI following percutaneous coronary intervention (PCI).
Main Methods:
- A cohort of 408 AMI patients undergoing PCI was analyzed.
- Patients were stratified into three groups based on TyG-BMI tertiles.
- Multivariate Cox regression and ROC curve analysis were employed to assess the predictive value of TyG-BMI.
Main Results:
- The incidence of MACCEs increased significantly with higher TyG-BMI tertiles (p<0.05).
- TyG-BMI was identified as an independent predictor of MACCEs in AMI patients post-PCI (p<0.05).
- The area under the ROC curve (AUC) for TyG-BMI predicting MACCEs was 0.632 (p < 0.001).
Conclusions:
- Elevated TyG-BMI levels independently predict composite MACCEs in patients with AMI after PCI.
- TyG-BMI serves as a valuable prognostic marker in this patient population.
Background:
Previous studies have suggested that triglyceride glucose-body mass index (TyG-BMI) is associated with cardiovascular mortality in patients undergoing peritoneal dialysis. However, the predictive value of TyG-BMI in the prognosis of acute myocardial infarction (AMI) remains unclear.
Methods:
In total, 408 AMI patients who underwent PCI were consecutively included in this study. All included patients were then divided into three groups according to tertiles of TyG-BMI. The association between TyG-BMI and major adverse cardiovascular and cerebrovascular events (MACCEs) were investigated.
Results:
Participants were divided into three groups: tertile 1(≤199.4, n=136), tertile 2 (199.4-231.8, n=136), and tertile 3 (≥231.8, n=136). Eighty (19.6%) patients had MACCEs: 18 (13.2%) in tertile 1, 26 (19.1%) in tertile 2, and 36 (25.7%) in tertile 3. The incidence of MACCEs increased as the tertiles of TyG-BMI increased (p<0.05). Multivariate Cox regression analysis revealed that diabetes mellitus and TyG-BMI were independent predictors of MACCEs in AMI patients after PCI (p<0.05). The receiver operating characteristic (ROC) curve showed that when TyG-BMI was ≥192.4, the sensitivity and specificity were 60.1% and 65.4%, respectively, and the area under the ROC curve (AUC) was 0.632 (95% confidence interval [CI]: 0.562-0.703; p < 0.001).
Conclusion:
Elevated TyG-BMI level was an independent predictor of the composite MACCEs in patients with AMI after PCI.
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