Abstract
PurposeThis study aimed to investigate global myocardial work (GMW), derived from non-invasive left ventricular (LV) pressure-strain loops (PSLs) in coronary artery disease (CAD) patients without regional wall motion abnormality (RWMA), and explored the relationship between GMW and severity of CAD using Gensini score (GS) . Methods120 patients prepared for coronary angiography (CAG) who had left ventricular ejection fraction≥55%, no resting RWMA in two-dimensional echocardiography were enrolled. Global longitudinal strain (GLS), GMW parameters (including global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW) and global myocardial work efficiency (GWE)) were quantified. The severity of coronary lesions was evaluated by GS system based on CAG findings. We divided CAG-confirmed CAD patients into three subgroups according to the tertiles of GS: low 0<GS 16, mid 16<GS 38, and high GS>38. ResultsCAD patients showed a significantly reduced GLS and GWE, but an increased GWW. GLS, GWE, GWI and GCW were significantly decreased in the high-GS group while GWW was increased. GLS, GWE, GWI and GCW was negatively correlated with the GS, GWW was positively correlated with GS. Multivariate regression analysis showed that GWE was the independent factor of predicting coronary stenosis. ROC analysis demonstrated that GWE was the most powerful predictor of high-GS and was superior to GLS. GWE under 91% had the optimal sensitivity and specificity for identifying high-GS. ConclusionThe proposed GWE, which outperformed the GLS, showed the optimal performance and could be considered as a potential predictive indicator to detect severe coronary disease in non-RWMA CAD patients.
Prediction of coronary artery disease by left ventricular regional wall motion abnormalities in patients with stenosis of the aortic valve.