Correlation between post-ejection shortening and improvement in regional wall motion after revascularization in patients with coronary artery disease

1996 ◽  
Vol 54 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Cheuk-Kit Wong ◽  
S.Ben Freedman ◽  
George Bautovich ◽  
Brian F. Hutton
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Wall Motion ◽  
Regional Wall Motion ◽  
Regional Wall ◽  
Artery Disease

Does Nitrous Oxide Cause Regional Wall Motion Abnormalities in Patients with Coronary Artery Disease?

1988 ◽  
Vol 67 (7) ◽  
pp. 695???700 ◽  
Author(s):  
John R. Slavik ◽  
Kenneth R. LaMantia ◽  
Charles J. Kopriva ◽  
Edward Prokop ◽  
Michael D. Ezekowitz ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Nitrous Oxide ◽  
Coronary Artery ◽  
Wall Motion ◽  
Regional Wall Motion ◽  
Regional Wall ◽  
Regional Wall Motion Abnormalities ◽  
Wall Motion Abnormalities ◽  
Artery Disease

scholarly journals Global Myocardial Work in Coronary Artery Disease Patients Without Regional Wall Motion Abnormality: Correlation With Gensini Score

2021 ◽  
Author(s):  
Miao Li ◽  
Yuhao Wang ◽  
Lin Li ◽  
Wenfang Wu ◽  
Pingyang Zhang
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Wall Motion Abnormality ◽  
Wall Motion ◽  
Regional Wall Motion ◽  
Left Ventricular ◽  
Regional Wall Motion Abnormality ◽  
Gensini Score ◽  
Regional Wall ◽  
Artery Disease

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.

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