Study on the Correlation Between Ultrasonic Myocardial Work Parameters Combined with TyG-BMI and the Degree of Coronary Stenosis

Xianglin Chen; Shenghao Fu; Liting Wu; Anxin Liu; Shiwen Feng; Chengcai Chen

doi:10.62051/ijphmr.v6n5.05

Authors

Xianglin Chen
Shenghao Fu
Liting Wu
Anxin Liu
Shiwen Feng
Chengcai Chen

DOI:

https://doi.org/10.62051/ijphmr.v6n5.05

Keywords:

Myocardial work parameters, TyG-BMI, Degree of coronary stenosis, Ultrasound, Diagnostic value

Abstract

Objective: This study aims to investigate the correlation between ultrasonic myocardial work parameters and triglyceride-glucose-body mass index (TyG-BMI) with the degree of coronary stenosis, and to evaluate the diagnostic value of each parameter individually and in combination for significant coronary stenosis. Methods: Data were collected from 155 patients who underwent coronary angiography for chest pain at the Department of Cardiology of the Affiliated Hospital of Youjiang Medical University for Nationalities between September 2025 and April 2026. Based on angiographic findings, patients were classified into a group with significant coronary stenosis (n=89) and a group without significant stenosis (n=66). Differences between groups were compared using independent-sample t-test or Mann-Whitney U test. Correlation analyses were performed to calculate the coefficients of correlation between coronary stenosis severity and ultrasound parameters as well as clinical indicators. Binary logistic regression was employed to identify independent influencing factors, while the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of individual indicators and combined models. Results: Correlation analysis revealed an extremely strong positive correlation between the degree of coronary stenosis and the global myocardial work index (GCW) (r=0.898), an extremely strong negative correlation between global wasted work (GWW) and global myocardial work efficiency (GWE) (r=-0.904), moderate positive correlations between systolic blood pressure (SBP) and interventricular septal thickness (IVST) (r=0.525) and between total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) (r=0.597), as well as a moderate positive correlation between TyG-BMI. Compared with the group with significant stenosis, the group with non-significant stenosis exhibited significantly reduced IVST, GWW, and TyG-BMI, while GWI, GCW, and GWE were significantly increased (all P<0.05). Multivariate logistic regression demonstrated that GCW was a protective factor for significant coronary stenosis (OR=0.995,95% CI: 0.992–0.998, P=0.004), whereas GWW (OR=1.043,95% CI: 1.025–1.062, P<0.001), GWE (OR=2.602,95% CI: 1.764–3.838, P<0.001), and TyG-BMI (OR=1.050,95% CI: 1.018–1.084, P=0.002) were independent risk factors. The AUC values for diagnosing significant coronary artery stenosis using each individual indicator ranged from 0.648 to 0.745, while the combined diagnostic model achieved an AUC of 0.899 (95% CI: 0.848–0.949), with a sensitivity of 76.4% and specificity of 90.9%, demonstrating significantly superior performance compared to individual indicators (P<0.05). Conclusion: Myocardial work parameters (GCW, GWW, GWE) and TyG-BMI are independent risk factors for significant coronary stenosis. Their combined application significantly enhances diagnostic accuracy, providing a new reference basis for non-invasive assessment of coronary stenosis.

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