Why the study?
More than 50% of patients referred for coronary angiography with suspected chronic stable angina pectoris show normal or nonobstructive CAD, prompting investigation into whether mitral annular displacement can predict CAD.
Does mitral annular displacement by speckle tracking echocardiography accurately predict significant coronary artery disease in patients with suspected chronic stable angina pectoris?
Does mitral annular displacement by speckle tracking echocardiography accurately predict significant coronary artery disease in patients with suspected chronic stable angina pectoris?
Normalized mitral annular displacement measured by speckle tracking echocardiography is a highly sensitive and specific noninvasive tool for predicting significant CAD in patients with suspected stable angina.
MAD accurately predicted CAD in suspected CSAP; leaves open prospective validation before clinical adoption.
Background More than 50% of patients currently referred for coronary angiography (CAG) with suspected chronic stable angina pectoris (CSAP) shows normal or nonobstructive CAD. Mitral annular displacement (MAD) is a function of global shortening deformation of left ventricle (LV) and mirrors sub‐endocardial ischemia in CAD. The aim of this study was to ascertain if MAD can predict the presence of CAD in patient presenting with suspected CSAP. Methods This cross‐sectional study was conducted on patients with suspected CSAP (n = 140) and preserved LV function without apparent wall motion abnormalities during the study period. We excluded patients with prior heart disease (valvular, ischemic), presenting with acute coronary syndrome, arrhythmia, heart failure, and poor imaging. All the patients were subjected to speckle tracking echocardiography (STE) and CAG. Average MAD and normalized MAD were calculated by automated function imaging (AFI), and receiver operating characteristic (ROC) curve was plotted for presence of significant CAD considering CAG as gold standard. Results The results showed that both average MAD (4 segment) and normalized MAD were significantly reduced ( P = <.001) in patients with significant CAD (n = 81). In ROC analysis, area under curve (AUC) for predicting significant CAD in patients of CSAP was better for normalized MAD (0.88) compared to average MAD (4 segment, 0.85).The optimal cutoff of normalized MAD and average MAD for detection of significant CAD were ≤15.3% (sensitivity 90.1%, specificity 79.7%) and ≤11.19 (sensitivity 84%, specificity 69.5%), respectively. Normalized MAD showed week inverse correlation with SYNTAX score (−0.24, R 2 = 0.058) and Hs CRP (−0.23, R 2 = 0.057). Conclusion MAD is a simple and rapid noninvasive diagnostic tool which accurately predicted the presence of significant CAD in patients with CSAP.
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Sharma et al. (2020) studied this question.
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