Value of Non-invasive Myocardial Work Combined With Myocardial Contrast Echocardiography in the Early Diagnosis of Coronary Artery Disease And Its Efficacy in Stratifying the Severity of Coronary Vessel Lesions
10.3969/j.issn.1000-3614.2025.11.006
- VernacularTitle:无创心肌做功联合心肌超声造影对冠心病早期诊断的价值及在病变严重程度分层中的效能
- Author:
Lu WANG
1
;
Tao CONG
;
Siyao SUN
;
Bo ZHANG
;
Shaopeng WANG
;
Haichen LYU
;
Junjie WANG
;
Huaiyu DING
;
Yunlong XIA
;
Yilin WANG
Author Information
1. 大连医科大学附属第一医院 心血管超声科,大连 116000
- Publication Type:Journal Article
- Keywords:
coronary artery disease;
non-invasive myocardial work;
myocardial contrast echocardiography
- From:
Chinese Circulation Journal
2025;40(11):1088-1095
- CountryChina
- Language:Chinese
-
Abstract:
Objectives:To explore the value of non-invasive myocardial work combined with myocardial contrast echocardiography(MCE)in the early diagnosis of coronary artery disease and its efficacy in stratifying the severity of coronary vessel lesions.Methods:A total of 130 patients with suspected coronary artery disease admitted to the First Affiliated Hospital of Dalian Medical University from June 2024 to January 2025 were enrolled in this study.All patients underwent echocardiography and MCE after admission,and coronary angiography(CAG).Based on CAG results,patients were divided into non-CAD group(n=45,coronary artery stenosis<50%)and CAD group(n=85,coronary artery stenosis≥50%).Patients in CAD group were further divided into low-score CAD group(≤49 points,n=43)and high-score CAD group(>49 points,n=42)according to the median of Gensini score(49 points).Non-invasive MW indices and quantitative MCE parameters were assessed.A binary logistic regression model was used to construct a combined diagnostic model,and the value of each parameter in diagnosing CAD and evaluating the severity of coronary lesions was calculated.The receiver operating characteristic(ROC)curve of subjects was estimated,and the area under the curve(AUC)was calculated to evaluate its sensitivity and specificity for early diagnosis of coronary heart disease.Results:Compared with the non-CAD group,the global longitudinal strain,global work index(GWI),and global constructive work(GCW)in both low-score and high-score CAD groups were significantly lower(all P<0.05),and the global work efficiency in the high-score CAD group was significantly reduced(P<0.05).MCE indices in both low-score and high-score CAD groups were significantly lower than those in the non-CAD group(all P<0.05).The multivariate logistic stepwise regression analysis and ROC curve showed that GWI(OR=0.997,95%CI:0.995-0.999,P=0.003)and A value(representing the peak intensity of the curve,reflecting myocardial blood volume(OR=0.415,95%CI:0.246-0.698,P=0.001)were independent predictors of low-score CAD.The combined diagnostic sensitivity and specificity for low-score coronary artery disease were 72.1%and 88.9%respectively,with an AUC of 0.851.GCW(OR=0.997,95%CI:0.995-1.000,P=0.019)and β-value(OR=0.000,95%CI:0.000-0.003,P<0.001)were independent predictors of high-score CAD.The combined diagnostic sensitivity and specificity for high-score coronary artery disease were 88.1%and 88.9%respectively,with an AUC of 0.934.Conclusions:Both non-invasive myocardial work parameters and MCE parameters have high diagnostic efficacy for coronary artery lesions of various degrees.The combined application of the two methods significantly improves the accuracy of coronary artery disease diagnosis,with improved sensitivity and specificity than single technique.Our results provide a new non-invasive comprehensive diagnostic model for clinical early diagnosis and risk stratification of coronary artery disease.
