The predictive value of residual lipoprotein cholesterol combined with three-dimensional spot tracking technology for myocardial ischemia in patients with coronary heart disease
10.3760/cma.j.cn431274-20240627-00994
- VernacularTitle:残粒脂蛋白胆固醇联合三维斑点追踪技术对冠心病患者心肌缺血的预测价值
- Author:
Hui WANG
1
;
Yaning WANG
1
;
Jianqing ZHE
1
;
Yuan GAO
1
;
Jin WANG
1
Author Information
1. 西安交通大学第一附属医院心内科，西安 710089
- Publication Type:Journal Article
- Keywords:
Coronary heart disease;
Myocardial ischemia;
Residual lipoprotein cholesterol;
Three-dimensional spot tracking
- From:
Journal of Chinese Physician
2025;27(5):673-677
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the predictive value of residual lipoprotein cholesterol (RLP-C) combined with three-dimensional spot tracking (3D-STE) technology for myocardial ischemia in patients with coronary heart disease (CHD).Methods:A total of 158 patients with suspected CHD myocardial ischemia admitted to the First Affiliated Hospital of Xi′an Jiaotong University from March 2021 to August 2023 were selected and divided into the observation group (patients with myocardial ischemia) and the control group (patients with non-myocardial ischemia) according to the results of coronary angiography (CAG). The levels of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and total cholesterol (TC) of the patients were detected by the fully automatic biochemical analyzer, and the level of RLP-C was calculated. The 3D-STE technique was adopted to analyze the global long axis strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) of the left ventricle of the patients. The differences of each index between the two groups were compared, the related influencing factors of myocardial ischemia in patients with CHD were analyzed, and the predictive value of RLP-C combined with 3D-STE technology for myocardial ischemia in patients with CHD was evaluated.Results:CAG revealed 39 patients (24.68%) with myocardial ischemia, with a total of 52 myocardial perfusion abnormalities, including 22 right coronary artery supply areas, 12 left coronary artery circumflex supply areas, and 18 anterior descending branch areas. The levels of cardiac function classification, GCS, GRS, GLS and RLP-C in the observation group were all better than those in the control group (all P<0.05). Binary logistic regression analysis showed that cardiac function classification grade Ⅳ, GCS, GRS, GLS, and RLP-C were the influencing factors of myocardial ischemia in patients with CHD (all P<0.05). Analysis of the receiver operating characteristic curve results showed that the sensitivities of cardiac function classification grade Ⅳ, GCS, GRS, RLP-C, GLS and the combination of the five in predicting myocardial ischemia in patients with CHD were 69.23%, 71.79%, 74.36%, 76.92%, 74.36% and 89.74%, respectively. The specificities were 68.91%, 71.43%, 75.63%, 77.31%, 76.47% and 88.24% respectively. The combined diagnosis of myocardial ischemia in patients with CHD with cardiac function classification grade Ⅳ, GCS, GRS, RLP-C and GLS had a relatively high value (all P<0.05). Conclusions:Cardiac function classification grade Ⅳ, GLS, GCS, GRS, and RLP-C are influencing factors of myocardial ischemia in patients with CHD. Combined detection is helpful to improve the diagnostic accuracy of myocardial ischemia.
