Endocardial electromechanical mapping(EEM) has been proposed as a method for myocardial viability assessment. However, the impact of EEM data on clinical outcome has not been studied before. We sought to assess the pr...Endocardial electromechanical mapping(EEM) has been proposed as a method for myocardial viability assessment. However, the impact of EEM data on clinical outcome has not been studied before. We sought to assess the prognostic value of EEM in patients with left ventricular(LV) dysfunction undergoing percutaneous coronary intervention (PCI). Seventyfive patients with coronary artery disease and LV dysfunction(angiographic LV ejection fraction 49±15%) underwent LV EEM for myocardial viability assessment before coronary revascularization. EEM parameters included mean unipolar electrographic amplitude, mean local shortening, LV volumes, LVEF, number of regions with electrographic amplitudes< 7.5 mV, number of electromechanical mismatch, and match regions. Cardiac death, nonfatal myocardial infarction, nonfatal stroke, and acute heart failure requiring hospitalizationwere defined as clinical events. During a follow-up of 3.6±1.8 years, 20 clinical events occurred. Event-free survival after coronary revascularizationwas significantly better in patientswith amean unipolar electrographic amplitude of ≥9.5 mV than in patients with a mean unipolar electrographic amplitude of< 9.5 mV(88%vs 57%; p< 0.005). Cox regression analysis revealed angiographic LVEF, mean electrographic amplitude, number of regions with electrographic amplitudes< 7.5 mV, number of electromechanical match regions, and EEM EF as univariate predictors of clinical events. In a multivariate analysis, angiographic LVEF< 40%(hazard ratio 4.78, p< 0.005) and mean electrographic amplitude< 9.5 mV (hazard ratio 2.92, p< 0.05) were independent predictors of clinical events. Thus, EEM provides prognostic information in patients with LV dysfunction undergoing coronary revascularization.展开更多
文摘Endocardial electromechanical mapping(EEM) has been proposed as a method for myocardial viability assessment. However, the impact of EEM data on clinical outcome has not been studied before. We sought to assess the prognostic value of EEM in patients with left ventricular(LV) dysfunction undergoing percutaneous coronary intervention (PCI). Seventyfive patients with coronary artery disease and LV dysfunction(angiographic LV ejection fraction 49±15%) underwent LV EEM for myocardial viability assessment before coronary revascularization. EEM parameters included mean unipolar electrographic amplitude, mean local shortening, LV volumes, LVEF, number of regions with electrographic amplitudes< 7.5 mV, number of electromechanical mismatch, and match regions. Cardiac death, nonfatal myocardial infarction, nonfatal stroke, and acute heart failure requiring hospitalizationwere defined as clinical events. During a follow-up of 3.6±1.8 years, 20 clinical events occurred. Event-free survival after coronary revascularizationwas significantly better in patientswith amean unipolar electrographic amplitude of ≥9.5 mV than in patients with a mean unipolar electrographic amplitude of< 9.5 mV(88%vs 57%; p< 0.005). Cox regression analysis revealed angiographic LVEF, mean electrographic amplitude, number of regions with electrographic amplitudes< 7.5 mV, number of electromechanical match regions, and EEM EF as univariate predictors of clinical events. In a multivariate analysis, angiographic LVEF< 40%(hazard ratio 4.78, p< 0.005) and mean electrographic amplitude< 9.5 mV (hazard ratio 2.92, p< 0.05) were independent predictors of clinical events. Thus, EEM provides prognostic information in patients with LV dysfunction undergoing coronary revascularization.
