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Submitted: 08 Feb 2022
Revision: 03 Oct 2022
Accepted: 09 Oct 2022
ePublished: 17 Dec 2022
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J Cardiovasc Thorac Res. 2022;14(4): 234-239.
doi: 10.34172/jcvtr.2022.30520
PMID: 36699556
PMCID: PMC9871166
  Abstract View: 586
  PDF Download: 459
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Original Article

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

Krishan Yadav 1 ORCID logo, Jayesh Prajapati 2* ORCID logo, Gaurav Singh 2, Iva Patel 3 ORCID logo, Ajay Karre 2, Pradeep Kumar Bansal 2, Vicky Garhwal 2

1 Yatharth Super Speciality Hospital, Noida, UP, India
2 Department of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad-380016, Gujarat, India
3 Department of Research U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad-380016, Gujarat, India
*Corresponding Author: Corresponding Author: Jayesh Prajapati, Email: , Email: drjsprajapati@gmail.com

Abstract

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.

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