Key result
Global myocardial work efficiency under 92% outperforms GLS in identifying severe coronary disease.
Why the study?
Early detection of CAD without regional wall motion abnormality is important, and whether global myocardial work provides incremental value in detecting it remained to be established.
Does global myocardial work efficiency (GWE) improve the detection of severe coronary artery disease in patients without regional wall motion abnormality compared to conventional global longitudinal strain (GLS)?
Observational (n=124)
Does global myocardial work efficiency (GWE) improve the detection of severe coronary artery disease in patients without regional wall motion abnormality compared to conventional global longitudinal strain (GLS)?
Answers are grounded in this paper and cite their sources.
Global myocardial work efficiency (GWE) outperforms conventional global longitudinal strain (GLS) in detecting severe coronary artery disease in patients with preserved ejection fraction and no regional wall motion abnormalities.
BACKGROUND: Early detection of coronary atherosclerotic diseases (CAD) without regional wall motion abnormality (RWMA) is important for improving the outcome of cardiovascular events. Global myocardial work (GMW), including global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global myocardial work efficiency (GWE), offer comprehensive quantitative assessment of myocardial function in CAD. HYPOTHESIS: We hypothesized that GMW could provide incremental value in detecting CAD without RWMA. METHODS: One hundred and twenty-four patients referred for coronary angiography (CAG) without resting RWMA were enrolled in this study. Global longitudinal strain (GLS), GWI, GCW, GWW, GWE were quantified. The severity of coronary lesions was evaluated by Gensini score (GS) based on CAG. We further divided CAG-confirmed CAD patients into three subgroups according to the tertiles of GS: low 0 < GS ≤ 17, mid 17 < GS ≤ 38, and high GS > 38. RESULTS: Compared with control, CAD patients showed decreased GLS, GWE, GWI, GCW but an increased GWW. Compared to low-GS group, GWW was increased in the mid-GS group. GLS, GWE, GWI and GCW were decreased in the high-GS group while GWW was increased. Receiver operator characteristic curve analysis demonstrated that GWE was the most powerful predictor of high-GS and was superior to GLS. GWE under 92.0% had the optimal sensitivity and specificity for identifying high-GS. CONCLUSION: The proposed GWE, which outperformed the conventional GLS, could be considered as a potential predictive indicator to help to detect severe coronary disease in non-RWMA CAD patients.
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Li et al. (2023) conducted an observational in Coronary artery disease without regional wall motion abnormality (n=124). Global myocardial work (GMW) assessment vs. Global longitudinal strain (GLS) and control patients was evaluated on Detection of high Gensini score (GS > 38). Global myocardial work efficiency under 92.0% provided optimal sensitivity and specificity for identifying severe coronary disease (Gensini score >38), outperforming global longitudinal strain.
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