Takeru Nabeta, Maria Chiara Meucci, Jos J M Westenberg, Johan Hc Reiber, Juhani Knuuti, Pieter van der Bijl, Nina Ajmone Marsan, Jeroen J Bax
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引用次数: 2
Abstract
Risk stratification of patients with ischemic heart disease (IHD) still depends mainly on the left ventricular ejection fraction (LVEF). LV inward displacement (InD) is a novel parameter of LV systolic function, derived from feature tracking cardiac magnetic resonance (CMR) imaging. We aimed to investigate the prognostic impact of InD in patients with IHD and prior myocardial infarction. A total of 111 patients (mean age 57 ± 10, 86% male) with a history of myocardial infarction who underwent CMR were included. LV InD was quantified by measuring the displacement of endocardially tracked points towards the centreline of the LV during systole with feature tracking CMR. The endpoint was a composite of all-cause mortality, heart failure hospitalization and arrhythmic events. During a median follow-up of 142 (IQR 107-159) months, 31 (27.9%) combined events occurred. Kaplan-Meier analysis demonstrated that patients with LV InD below the study population median value (23.0%) had a significantly lower event-free survival (P < 0.001). LV InD remained independently associated with outcomes (HR 0.90, 95% CI 0.84-0.98, P = 0.010) on multivariate Cox regression analysis. InD also provided incremental prognostic value to LVEF, LV global radial strain and CMR scar burden. LV InD, measured with feature tracking CMR, was independently associated with outcomes in patients with IHD and prior myocardial infarction. LV InD also provided incremental prognostic value, in addition to LVEF and LV global radial strain. LV InD holds promise as a pragmatic imaging biomarker for post-infarct risk stratification.
期刊介绍:
The International Journal of Cardiovascular Imaging publishes technical and clinical communications (original articles, review articles and editorial comments) associated with cardiovascular diseases. The technical communications include the research, development and evaluation of novel imaging methods in the various imaging domains. These domains include magnetic resonance imaging, computed tomography, X-ray imaging, intravascular imaging, and applications in nuclear cardiology and echocardiography, and any combination of these techniques. Of particular interest are topics in medical image processing and image-guided interventions. Clinical applications of such imaging techniques include improved diagnostic approaches, treatment , prognosis and follow-up of cardiovascular patients. Topics include: multi-center or larger individual studies dealing with risk stratification and imaging utilization, applications for better characterization of cardiovascular diseases, and assessment of the efficacy of new drugs and interventional devices.