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The correlation between speckle-tracking echocardiography and coronary angiography in suspected coronary artery disease with normal left ventricular function

Introduction: Our study objects to determine the diagnostic accuracy of two-dimensional speckle tracking echocardiography (2DSTE) in predicting presence and severity of coronary artery disease (CAD). Methods: Patients with stable angina pectoris with normal left ventricular function (>50%) underg...

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Detalles Bibliográficos
Autores principales: Yadav, Krishan, Prajapati, Jayesh, Singh, Gaurav, Patel, Iva, Karre, Ajay, Bansal, Pradeep Kumar, Garhwal, Vicky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871166/
https://www.ncbi.nlm.nih.gov/pubmed/36699556
http://dx.doi.org/10.34172/jcvtr.2022.30520
Descripción
Sumario:Introduction: Our study objects to determine the diagnostic accuracy of two-dimensional speckle tracking echocardiography (2DSTE) in predicting presence and severity of coronary artery disease (CAD). Methods: Patients with stable angina pectoris with normal left ventricular function (>50%) undergoing coronary angiography were enrolled and subjected to speckle tracking echocardiography. Global longitudinal peak systolic strain was measured and correlated to the results of coronary angiography for each patient. Results: Number of male (P=0.001), diabetes (P=0.01) and smoking (P=0.01) patients were significantly higher in the CAD group compared to non-CAD patients. Global longitudinal peak systolic strain (GLPSS) was significantly (P=0.0001) lower in CAD patients in comparison to non- CAD patients. GLPSS showed significantly lower in patients with Syntax score (SS)≥22 in comparison to SS<22. Cut-off value -19 for GLPSS could be used to predict the presence of significant CAD with 80.6% sensitivity and 76.5% specificity (area under curve (AUC) -0.83, P=0.0001). The mean GLPSS value decreased as the number of diseased coronary vessels increased (P=0.0001). The optimal cut-off value of -16 GLPSS with a sensitivity of 76.7% and specificity of 83.3% [AUC 0.84, P<0.0001] was found significant to predict CAD severity. Multivariate regression of GLPSS and another risk factor for predicting significant CAD, GLPSS showed OR=1.55 (CI-1.36-1.76) P=0.0001 for predicting the presence of CAD. Conclusion: 2DSTE can be used as a non-invasive screening test in predicting presence, extent and severity of significant CAD patients with suspected stable angina pectoris.