Literature DB >> 12877704

Spatial distribution of repolarization times in patients with coronary artery disease.

Peter Van Leeuwen1, Birgit Hailer, Silke Lange, Dietrich Grönemeyer.   

Abstract

The potential clinical value of QT dispersion (QTd), a measure of the interlead range of QT interval duration in the surface 12-lead ECG, remains ambiguous. The aim of the study was the temporal and spatial analysis of the QT interval in healthy subjects and in patients with coronary artery disease (CAD) using magnetocardiography (MCG) and surface ECG. Standard 12-lead ECG and 37-channel MCG were performed in 20 healthy subjects, 23 patients with CAD without prior myocardial infarction (MI), 31 MI patients and 11 MI patients with ventricular tachycardia (VT). QTd was increased in CAD without MI compared to normals (ECG 46.1 +/- 6.0 vs 42.8 +/- 5.0, P < 0.05; MCG 66.8 +/- 20.3 vs 49.7 +/- 10.8, P < 0.01) and in VT compared to MI (ECG 66.8 +/- 16.5 vs 51.9 +/- 16.6, P < 0.05; MCG 93.6 +/- 29.6 vs 66.8 +/- 20.8, P < 0.005). In MCG, spatial distribution of QT intervals in patient groups differed from those in healthy subjects in three ways: (1) greater dispersion, (2) greater local variability, and (3) a change in overall pattern. This was quantified on the basis of smoothness indexes (SI). Normalized SI was higher in CAD without MI compared to normals (3.8 +/- 1.1 vs 2.7 +/- 0.6, P < 0.001) and in VT compared to MI (6.4 +/- 1.6 vs 4.2 +/- 1.4, P < 0.0005). For the normal-CAD comparison a sensitivity of 74% and a specificity of 80% was obtained, for MI-VT, 100% and 77%, respectively. The results suggest that examining the spatial interlead variability in multichannel MCG may aid in the initial identification of CAD patients with unimpaired left ventricular function and the identification of post-MI patients with augmented risk for VT.

Entities:  

Mesh:

Year:  2003        PMID: 12877704     DOI: 10.1046/j.1460-9592.2003.t01-1-00256.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  6 in total

1.  Magnetocardiographic assessment of healed myocardial infarction.

Authors:  Helena Hänninen; Miia Holmström; Paula Vesterinen; Milla Karvonen; Heikki Väänänen; Lasse Oikarinen; Markku Mäkijärvi; Jukka Nenonen; Kirsi Lauerma; Toivo Katila; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

2.  Effectiveness of magnetocardiography to identify patients in need of coronary artery revascularization: a cross-sectional study.

Authors:  Xiao Huang; Ning Hua; Fakuan Tang; Shulin Zhang
Journal:  Cardiovasc Diagn Ther       Date:  2020-08

3.  QTc Heterogeneity in Rest Magnetocardiography is Sensitive to Detect Coronary Artery Disease: In Comparison with Stress Myocardial Perfusion Imaging.

Authors:  Yen-Wen Wu; Lung-Chun Lin; Wei-Kung Tseng; Yen-Bin Liu; Hsian-Li Kao; Mao-Shin Lin; Huei-Chun Huang; Shan-Ying Wang; Herng-Er Horng; Hong-Chang Yang; Chau-Chung Wu
Journal:  Acta Cardiol Sin       Date:  2014-09       Impact factor: 2.672

4.  Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction.

Authors:  Woo Dae Bang; Kiwoong Kim; Yong Ho Lee; Hyukchan Kwon; Yongki Park; Hui Nam Pak; Young Guk Ko; Moonhyoung Lee; Boyoung Joung
Journal:  Yonsei Med J       Date:  2016-11       Impact factor: 2.759

5.  Spatial repolarization heterogeneity detected by magnetocardiography correlates with cardiac iron overload and adverse cardiac events in beta-thalassemia major.

Authors:  Chun-An Chen; Meng-Yao Lu; Shinn-Forng Peng; Kai-Hsin Lin; Hsiu-Hao Chang; Yung-Li Yang; Shiann-Tarng Jou; Dong-Tsamn Lin; Yen-Bin Liu; Herng-Er Horng; Hong-Chang Yang; Jou-Kou Wang; Mei-Hwan Wu; Chau-Chung Wu
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

6.  MAGNETO cardiography parameters to predict future Sudden Cardiac Death (MAGNETO-SCD) or ventricular events from implantable cardioverter defibrillators: study protocol, design and rationale.

Authors:  Thomas Lachlan; Hejie He; Kavi Sharma; Jamal Khan; Kim Rajappan; Adrian Morley-Davies; Ashish Patwala; Harpal Randeva; Faizel Osman
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.