Key result
Reduced transmural GLS independently predicts significant CAD in suspected stable angina with normal wall motion.
Why the study?
Does layer-specific longitudinal strain imaging predict significant coronary artery disease in patients with suspected stable angina pectoris and normal left ventricular wall motion?
Observational (n=79)
Single-blind
No
Does layer-specific longitudinal strain imaging predict significant coronary artery disease in patients with suspected stable angina pectoris and normal left ventricular wall motion?
Odds Ratio: 0.472 (95% CI 0.326–0.684)
Absolute Event Rate: -18.2% vs -22.2%
p-value: p=<0.001
Resting layer-specific strain analysis, particularly transmural GLS, can help identify significant coronary artery disease in patients with suspected stable angina and normal wall motion.
May support GLS for CAD detection in stable angina with normal wall motion; hypothesis-generating and should not yet change practice.
BACKGROUND: Non-invasive imaging tests are widely used in the evaluation of stable angina pectoris (SAP). Despite these tests, non-significant coronary lesions are not a rare finding in patients undergoing elective coronary angiography (CAG). Two-dimensional (2D) speckle tracking global longitudinal strain (GLS) imaging is a more sensitive and accurate technique for measuring LV function than conventional 2D methods. Layer-specific strain analysis is a relatively new method that provides endocardial and epicardial myocardial layer assessment. The aim of the present study was to evaluate longitudinal layer-specific strain (LSS) imaging in patients with suspected SAP. METHODS: Patients who underwent CAG for SAP were retrospectively screened. A total of 79 patients with no history of heart disease and wall motion abnormalities were included in the study. Forty-three patients with coronary lesions > 70% constituted the coronary artery disease (CAD) group and 36 patients without significant CAD constituted the control group. Layer-specific GLS transmural, endocardium, and epicardium values (GLS-trans, GLS-endo, and GLS-epi, respectively) were compared between the groups. RESULTS: Patients in the CAD group had significantly lower GLS values in all layers (GLS-trans: -18.2 + 2.4% vs -22.2 + 2.2% p < .001; GLS-endo: -20.8 + 2.8% vs -25.3 + 2.6%, p < .001; GLS-epi: 15.9 + 2.4% vs -19.5 + 1.9%, p < .001). Multivariate adjustment demonstrated GLS-trans as the only independent predictor of CAD [OR:0.472, CI (0.326-0.684), p < .001]. Additionally, the GLS values were all lower in myocardial perfusion scintigraphy (MPS) true-positive patients compared with MPS false-positive patients (GLS-trans: -17.7 ± 2.4 vs. -21.9 ± 2.4%, p < .001; GLS-endo: -20.2 ± 2.9% vs -24.9 ± 2.9%, P < .001; GLS-epi: 15.4 ± 2.6% vs. -19.2 ± 1.8%, P < .001). CONCLUSION: Resting layer-specific strain as assessed by 2D speckle tracking analysis demonstrated that GLS values were reduced in all layers of myocardium with SAP and with no wall motion abnormalities. LSS analysis can improve the identification of patients with significant CAD but further prospective larger scale studies are needed to put forth the incremental value of LSS analysis over transmural GLS.
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Yılmaztepe et al. (2018) conducted an observational in Suspected stable angina pectoris (n=79). Significant coronary artery disease (>70% stenosis) vs. No significant coronary artery disease was evaluated on Transmural global longitudinal strain (GLS-trans) (OR 0.472, 95% CI 0.326-0.684, p=<0.001). In patients with suspected stable angina pectoris and normal wall motion, transmural global longitudinal strain was significantly reduced in those with significant coronary artery disease and served as an independent predictor of CAD (OR 0.472).
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