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Myocardial Strain in Prediction of Outcomes After Surgery for Severe Mitral Regurgitationopen access

Authors
Kim, Hyue MeeCho, Goo-YeongHwang, In-ChangChoi, Hong-MiPark, Jun-BeanYoon, Yeonyee E.Kim, Hyung-Kwan
Issue Date
Sep-2018
Publisher
ELSEVIER SCIENCE INC
Keywords
global longitudinal strain; mitral regurgitation; mitral valve repair; mitral valve replacement
Citation
JACC-CARDIOVASCULAR IMAGING, v.11, no.9, pp 1235 - 1244
Pages
10
Journal Title
JACC-CARDIOVASCULAR IMAGING
Volume
11
Number
9
Start Page
1235
End Page
1244
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/70281
DOI
10.1016/j.jcmg.2018.03.016
ISSN
1936-878X
1876-7591
Abstract
OBJECTIVES We investigated whether global longitudinal strain (GLS) is a better predictor of clinical events after surgery for mitral regurgitation (MR) than conventional parameters. BACKGROUND The optimal timing for surgery is guided by left ventricular (LV) dimension or left ventricular ejection fraction (LVEF), even though normal LVEF can mask depressed LV systolic function in severe mitral MR. METHODS From 2006 to 2016, 506 patients (age 58.5 +/- 13.7 years, 54.3% male) with severe primary MR who underwent mitral valve surgery were included. We measured GLS and global circumferential strain. Cardiac events included admission for worsening heart failure (HF), reoperation for failure of MV surgery, and cardiac death. RESULTS During a median follow-up period of 3.5 years, 56 (11.1%) patients died, 41 (8.1%) were hospitalized for HF, and 10 (2.0%) underwent reoperation. In univariate analysis, LVEF, atrial fibrillation, left atrial dimension, age, previous ischemia, concomitant coronary artery bypass graft, and both GLS and global circumferential strain were predictive of cardiac events. On multivariate Cox models, age (hazard ratio [HR]: 1.429, 95% confidence interval [CI]: 1.116 to 1.831; p = 0.005), left atrial dimension (HR: 1.034, 95% CI: 1.006 to 1.063; p = 0.019) and GLS (HR: 1.229, 95% CI: 1.135 to 1.331; p < 0.001) were independent predictors of cardiac events. In subgroup analysis, LV GLS was a significant predictor of cardiac outcome, regardless of the presence of LV dysfunction, the presence of atrial fibrillation, and the type of surgery. Impaired GLS was associated with all-cause mortality (HR: 1.068, 95% CI: 1.003 to 1.136; p = 0.040). CONCLUSIONS GLS appears to be a better predictor of cardiac events all-cause death than conventional parameters. Measuring preoperative GLS is helpful to predict post-operative outcome and determine optimal timing for surgery in patients with severe primary MR. (C) 2018 by the American College of Cardiology Foundation.
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의과대학 (의학부(임상-서울))
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