Why the study?
Conventional echocardiography struggles to identify non-STEMI coronary artery disease, prompting evaluation of 2D-STE and myocardial work to better detect dysfunctional myocardium non-invasively.
Does myocardial work (GWI) improve the prediction of severe coronary artery stenosis compared to global longitudinal strain (GLS) in patients undergoing coronary angiography?
Does myocardial work (GWI) improve the prediction of severe coronary artery stenosis compared to global longitudinal strain (GLS) in patients undergoing coronary angiography?
Myocardial work (GWI) is more sensitive than global longitudinal strain (GLS) for identifying severe coronary artery stenosis and localizing culprit lesions using echocardiography.
2D-STE myocardial work may improve CHD detection beyond RWMA; leaves open need for validation before clinical use.
Background: Conventional echocardiography identifies STEMI by regional wall motion abnormality (RWMA), but it still has a great challenge to identify other types of coronary artery disease (CHD). The Two-dimensional Speckle Tracking Echocardiography (2D-STE) makes up for some of the deficiency, especially by using the myocardial work which combined with the left ventricular pressure condition. By this way, the dysfunctional region of myocardium can be identified more accurately, which is expected to be a new non-invasive prediction method for CHD. Methods: According to the exclusion criteria, 140 patients who had received coronary angiography (CAG) were included in this study. According to the stenosis rate of coronary artery, the patients were divided into CHD group and control group. The predictive efficacy of GLS and GWI for severe coronary artery stenosis were compared by ROC curve. Then, the 140 patients were respectively re-grouped according to the stenosis rate of LAD, LCX and RCA three times. The regional GLS and GWI are recorded as GLS R and GWI R according to the PRI method described in this article. The efficacy of GLS R and GWI R in predicting severe coronary artery stenosis were compared. Certainly the prediction efficiency between PRI method and traditional method (using the value of GLS and GWI directly) were also compared. Results: In predicting severe coronary artery stenosis, compared with GLS R , GWI R showed significantly higher sensitivity (95.2% vs 70.2%) and similar specificity (87.5% vs 91.1%). In the aspect of identification of certain coronary artery with severe stenosis, the sensitivity of GWI R was significantly higher than GLS R in predicting severe stenosis of LAD, LCX, and RCA (LAD: 96.5% vs 64.9%; LCX: 65.6% vs 50.0%; RCA: 50% vs 20%). Compared with traditional method, the “positive region identification” method has higher AUC in the ROC curve. Conclusion: GWI is more sensitive than GLS in identifying patients with CHD that couldn’t be detected by conventional echocardiography and performs better in accurately disclosing the culprit coronary arteries with severe stenosis. Compared with the traditional method, the PRI method can be used to judge whether there is severe stenosis in any coronary artery more accurately and confidently.
No takes yet. Share an insight, caveat, or question.
Zhou et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: