Literature DB >> 21388788

Prediction of coronary artery stenosis using strain imaging diastolic index at rest in patients with preserved ejection fraction.

Koichi Kimura1, Katsu Takenaka, XiaoFang Pan, Aya Ebihara, Kansei Uno, Nobuaki Fukuda, Takahide Kohro, Hiroyuki Morita, Yutaka Yatomi, Ryozo Nagai.   

Abstract

BACKGROUND: Post-ischemic myocardial diastolic stunning persists for a long time after transient ischemia even after systolic function has recovered. We sought to identify coronary artery stenosis in clinical patients using strain imaging diastolic index (SI-DI) at rest.
METHODS: We retrospectively examined 85 patients with suspected coronary artery disease and preserved ejection fraction (EF; >50%) who underwent both echocardiography and coronary angiography. Speckle tracking strains were measured in 3 apical views and parasternal left ventricular (LV) short-axis views at the papillary muscle level. LV segments with inadequate image quality and deficit segments in the movie were excluded by the blinded observer. After strain analysis, LV segments were classified into no stenosis (≤ 50%), mild stenosis (51-75%), and severe stenosis (>75%) groups on the bases of the coronary angiogram.
RESULTS: SI-DI decreased significantly in severe stenosis segments (p<0.05, ANOVA), but none of the peak strains showed significant difference. The area under the curve for predicting severe stenosis in radial, longitudinal, and transverse SI-DI was 0.72, 0.74, and 0.80, respectively. A cut-off value of 49 for transverse SI-DI can predict LV segments with severe stenosis with sensitivity of 0.79 and specificity of 0.73. A screening cut-off value of 63 for transverse SI-DI shows sensitivity of 0.95 and specificity of 0.50.
CONCLUSION: SI-DI at rest is a novel marker in predicting coronary stenosis even in patients with preserved EF. This index can be used to screen patients with suspected coronary artery disease in routine echocardiography and does not require stress provocation.
Copyright © 2011 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21388788     DOI: 10.1016/j.jjcc.2011.01.008

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  4 in total

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Authors:  Dagmar F Hernandez-Suarez; Angel López-Candales
Journal:  Med Hypotheses       Date:  2017-02-10       Impact factor: 1.538

2.  Improvement of long-term clinical outcomes by successful PCI in the very elderly women with ACS.

Authors:  Jia-Li Wang; Chun-Yan Guo; Hui Chen; Hong-Wei Li; Xue-Qiao Zhao; Shu-Mei Zhao
Journal:  BMC Cardiovasc Disord       Date:  2021-03-04       Impact factor: 2.298

3.  Left atrial and right atrial deformation in patients with coronary artery disease: a velocity vector imaging-based study.

Authors:  Ping Yan; Bin Sun; Haiming Shi; Wen Zhu; Qing Zhou; Yuwen Jiang; Hui Zhu; Guoqian Huang
Journal:  PLoS One       Date:  2012-12-04       Impact factor: 3.240

4.  Diastolic Abnormalities Detected by Velocity Vector Imaging in the Presence of Coronary Ischemia: A Pilot Stress Echocardiographic Study.

Authors:  Brian Edward Miller; Angel López-Candales
Journal:  Heart Views       Date:  2016 Jan-Mar
  4 in total

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