Literature DB >> 14716600

Noninvasive risk stratification in postinfarction patients with severe left ventricular dysfunction and methodology of the MADIT II noninvasive electrocardiology substudy.

Wojciech Zareba1, Arthur J Moss.   

Abstract

Sudden cardiac death occurs as a result of a complex interplay of changes in myocardial substrate, imbalance of autonomic regulation of the heart, and myocardial vulnerability. Noninvasive electrocardiology serves as a comprehensive tool for investigating factors representing mechanistic pathways leading to cardiac events. Heart rate variability, nonlinear dynamics of heart rate, and heart rate turbulence provide insight into autonomic control of the heart. Prognostic value of these parameters in postinfarction patients is well established for predicting cardiac death, but there is less evidence for their association with sudden death or arrhythmic events. Electrical manifestation of changes in myocardial substrate include QRS and QTc prolongation, presence of conduction disturbances, presence of late potentials, abnormalities of repolarization morphology, and presence of nonsinus rhythm, namely atrial fibrillation. Electrocardiogram (ECG) measures reflecting myocardial vulnerability to arrhythmias include frequent ventricular premature beats, T wave alternans, or QT variability. Prognostic significance of these parameters is documented in studies focused mostly on them as individual markers of risk. The noninvasive electrocardiology substudy of the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) allows for simultaneous analysis of several of the above ECG markers of risk and will provide insight about relative contribution of mechanistic pathways leading to cardiac death in postinfarction patients with severe left ventricular dysfunction. Combination of a standard 12-lead ECG and 10-minute high-resolution Holter recordings serves to evaluate the prognostic significance of noninvasive electrocardiology parameters for mortality in patients randomized to conventional treatment and for arrhythmic events in patients randomized to implantable cardioverter defibrillator therapy.

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Year:  2003        PMID: 14716600     DOI: 10.1016/j.jelectrocard.2003.09.022

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  12 in total

Review 1.  Heart rate turbulence: a new predictor for risk of sudden cardiac death.

Authors:  Johnson Francis; Mari A Watanabe; Georg Schmidt
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

2.  Dynamicity of early and late phases of repolarization in patients with remote anterior myocardial infarction: the interlead differences.

Authors:  Krzysztof Szydlo; Krystian Wita; Maria Trusz-Gluza; Artur Filipecki; Witold Orszulak; Dagmara Urbanczyk; Zbigniew Tabor
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-04       Impact factor: 1.468

3.  Dynamic electromechanical remodeling of the left ventricle.

Authors:  Arthur J Moss
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-01       Impact factor: 1.468

Review 4.  Sudden cardiac death risk stratification.

Authors:  Marc W Deyell; Andrew D Krahn; Jeffrey J Goldberger
Journal:  Circ Res       Date:  2015-06-05       Impact factor: 17.367

5.  Abnormal P-wave morphology is a predictor of atrial fibrillation development and cardiac death in MADIT II patients.

Authors:  Fredrik Holmqvist; Pyotr G Platonov; Scott McNitt; Slava Polonsky; Jonas Carlson; Wojciech Zareba; Arthur J Moss
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-01       Impact factor: 1.468

6.  Autonomic nervous system dysfunction and inflammation contribute to the increased cardiovascular mortality risk associated with depression.

Authors:  Willem J Kop; Phyllis K Stein; Russell P Tracy; Joshua I Barzilay; Richard Schulz; John S Gottdiener
Journal:  Psychosom Med       Date:  2010-07-16       Impact factor: 4.312

7.  Association of Holter-based measures including T-wave alternans with risk of sudden cardiac death in the community-dwelling elderly: the Cardiovascular Health Study.

Authors:  Phyllis K Stein; Devang Sanghavi; Nona Sotoodehnia; David S Siscovick; John Gottdiener
Journal:  J Electrocardiol       Date:  2010-01-25       Impact factor: 1.438

8.  QT/RR relationship in patients after remote anterior myocardial infarction with left ventricular dysfunction and different types of ventricular arrhythmias.

Authors:  Krzysztof Szydlo; Maria Trusz-Gluza; Krystian Wita; Artur Filipecki; Witold Orszulak; Dagmara Urbanczyk; Jolanta Krauze; Jaroslaw Kolasa; Zbigniew Tabor
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-01       Impact factor: 1.468

9.  ECG marker of adverse electrical remodeling post-myocardial infarction predicts outcomes in MADIT II study.

Authors:  Larisa G Tereshchenko; Scott McNitt; Lichy Han; Ronald D Berger; Wojciech Zareba
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

10.  A combined algorithm for T-wave alternans qualitative detection and quantitative measurement.

Authors:  XiangKui Wan; Kanghui Yan; Dehan Luo; Yanjun Zeng
Journal:  J Cardiothorac Surg       Date:  2013-01-14       Impact factor: 1.637

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