Literature DB >> 10716476

Combined assessment of T-wave alternans and late potentials used to predict arrhythmic events after myocardial infarction. A prospective study.

T Ikeda1, T Sakata, M Takami, N Kondo, N Tezuka, T Nakae, M Noro, Y Enjoji, R Abe, K Sugi, T Yamaguchi.   

Abstract

OBJECTIVES: The aim of the present study was to determine whether the combination of two markers that reflect depolarization and repolarization abnormalities can predict future arrhythmic events after acute myocardial infarction (MI).
BACKGROUND: Although various noninvasive markers have been used to predict arrhythmic events after MI, the positive predictive value of the markers remains low.
METHODS: We prospectively assessed T-wave alternans (TWA) and late potentials (LP) by signal-averaged electrocardiogram (ECG) and ejection fraction (EF) in 102 patients with successful determination results after acute MI. The TWA was analyzed using the power-spectral method during supine bicycle exercise testing. No antiarrhythmic drugs were used during the follow-up period. The study end point was the documentation of ventricular arrhythmias.
RESULTS: The TWA was present in 50 patients (49%), LP present in 21 patients (21%), and an EF <40% in 28 patients (27%). During a follow-up period of 13 +/- 6 months, symptomatic, sustained ventricular tachycardia or ventricular fibrillation occurred in 15 patients (15%). The event rates were significantly higher in patients with TWA, LP, or an abnormal EF. The sensitivity and the negative predictive value of TWA in predicting arrhythmic events were very high (93% and 98%, respectively), whereas its positive predictive value (28%) was lower than those for LP and EF. The highest positive predictive value (50%) was obtained when TWA and LP were combined.
CONCLUSIONS: The combined assessment of TWA and LP was associated with a high positive predictive value for an arrhythmic event after acute MI. Therefore, it could be a useful index to identify patients at high risk of arrhythmic events.

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Year:  2000        PMID: 10716476     DOI: 10.1016/s0735-1097(99)00590-2

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  36 in total

Review 1.  T-wave alternans and arrhythmia risk stratification.

Authors:  N El-Sherif; G Turitto; R P Pedalino; D Robotis
Journal:  Ann Noninvasive Electrocardiol       Date:  2001-10       Impact factor: 1.468

2.  On the estimation of T-wave alternans using the spectral fast fourier transform method.

Authors:  Antonis A Armoundas; Theofanie Mela; Faisal M Merchant
Journal:  Heart Rhythm       Date:  2011-10-12       Impact factor: 6.343

Review 3.  Electrocardiographic predictors of arrhythmic death.

Authors:  Michael G McLaughlin; Peter J Zimetbaum
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-10       Impact factor: 1.468

4.  Temporal variations in microvolt T-wave alternans testing after acute myocardial infarction.

Authors:  Mário Martins Oliveira; António Fiarresga; Nuno Pelicano; Nogueira da Silva; Ana Teresa Timóteo; Isabel Carlos; Sofia Silva; Jorge Quininha
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-04       Impact factor: 1.468

Review 5.  T-wave alternans: reviewing the clinical performance, understanding limitations, characterizing methodologies.

Authors:  Euler de Vilhena Garcia
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-10       Impact factor: 1.468

6.  Diurnal variation of frequency domain T-wave alternans on 24-hour ambulatory electrocardiogram in subjects without heart disease: Significant effect of autonomic nervous activity of the heart.

Authors:  Kenichi Hashimoto; Yuji Kasamaki; Masayoshi Soma; Bonpei Takase
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-11-07       Impact factor: 1.468

Review 7.  T-wave alternans testing for ventricular arrhythmias.

Authors:  Sanjiv M Narayan
Journal:  Prog Cardiovasc Dis       Date:  2008 Sep-Oct       Impact factor: 8.194

8.  T wave alternans does not assess arrhythmic risk in patients with Brugada syndrome.

Authors:  Paulus Kirchhof; Lars Eckardt; Sascha Rolf; Hans-D Esperer; Matthias Paul; Thomas Wichter; Helmut U Klein; Günter Breithardt; Dirk Böcker
Journal:  Ann Noninvasive Electrocardiol       Date:  2004-04       Impact factor: 1.468

9.  Prevalence of potential noninvasive arrhythmia risk predictors in healthy, middle-aged persons.

Authors:  Wolfram Grimm; Julia Liedtke; Hans-Helge Müller
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-01       Impact factor: 1.468

Review 10.  12-lead electrocardiogram features of arrhythmic risk: A focus on early repolarization.

Authors:  Caterina Rizzo; Francesco Monitillo; Massimo Iacoviello
Journal:  World J Cardiol       Date:  2016-08-26
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