Literature DB >> 21920535

Prediction of sudden cardiac death in patients after acute myocardial infarction using T-wave alternans: a prospective study.

Hou Yu1, Fang Pi-Hua, Wu Yuan, Li Xiao-Feng, Liu Jun, Li Zhi, Lei Sen, Shu Zhang.   

Abstract

BACKGROUND AND
PURPOSE: We assessed the value of T-wave alternans (TWA) in prediction of sudden cardiac death (SCD) in patients with acute myocardial infarction (AMI).
METHODS: Consecutive patients (N = 227) were enrolled and were monitored with 24-hour ambulatory electrocardiogram within 1 to 15 days after AMI. T-wave alternans was identified by a modified moving average (MMA) algorithm computer software. The primary end point was SCD or lethal ventricular arrhythmia. We analyzed the hazard ratios (HRs) using the previously determined 47 μV TWA cutpoint.
RESULTS: During the 16 ± 7-month follow-up, 10 (4.4%) patients died suddenly. T-wave alternans (≥47 μV) predicted SCD (HR, 17.78 [95% confidence interval, 3.75-84.31]; P < .0001). Moreover, patients with 5 or more TWA episodes (≥47 μV) were at higher risk for SCD (HR, 20.75 [95% confidence interval, 5.77-74.57]; P < .0001).
CONCLUSIONS: T-wave alternans (≥47 μV) monitored at 1 to 15 days after AMI-predicted heightened risk of SCD. Prediction is improved when the frequency of TWA episodes (≥47 μV) is analyzed.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21920535     DOI: 10.1016/j.jelectrocard.2011.07.015

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


  9 in total

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Authors:  Tarek A N Ahmed; Amr A Abdel-Nazeer; Ayman K M Hassan; Hosam Hasan-Ali; Amr A Youssef
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Review 2.  Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility--consensus guideline by International Society for Holter and Noninvasive Electrocardiology.

Authors:  Richard L Verrier; Thomas Klingenheben; Marek Malik; Nabil El-Sherif; Derek V Exner; Stefan H Hohnloser; Takanori Ikeda; Juan Pablo Martínez; Sanjiv M Narayan; Tuomo Nieminen; David S Rosenbaum
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3.  Importance of over-reading ambulatory ECG-based microvolt T-wave alternans to eliminate three main sources of measurement error.

Authors:  Nobuhiro Takasugi; Hiroko Matsuno; Mieko Takasugi; Koichi Shinoda; Takatomo Watanabe; Hiroyasu Ito; Hiroyuki Okura; Richard L Verrier
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-06-26       Impact factor: 1.468

Review 4.  Ventricular repolarization markers for predicting malignant arrhythmias in clinical practice.

Authors:  Yaniel Castro-Torres; Raimundo Carmona-Puerta; Richard E Katholi
Journal:  World J Clin Cases       Date:  2015-08-16       Impact factor: 1.337

Review 5.  Ability of ambulatory ECG-based T-wave alternans to modify risk assessment of cardiac events: a systematic review.

Authors:  Xiao-Qing Quan; Hong-Lian Zhou; Lei Ruan; Jia-Gao Lv; Ji-Hua Yao; Feng Yao; Kui Huang; Cun-Tai Zhang
Journal:  BMC Cardiovasc Disord       Date:  2014-12-20       Impact factor: 2.298

6.  β-Adrenergic receptor stimulation inhibits proarrhythmic alternans in postinfarction border zone cardiomyocytes: a computational analysis.

Authors:  Jakub Tomek; Blanca Rodriguez; Gil Bub; Jordi Heijman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2017-05-26       Impact factor: 4.733

7.  β-Adrenergic Receptor Stimulation and Alternans in the Border Zone of a Healed Infarct: An ex vivo Study and Computational Investigation of Arrhythmogenesis.

Authors:  Jakub Tomek; Guoliang Hao; Markéta Tomková; Andrew Lewis; Carolyn Carr; David J Paterson; Blanca Rodriguez; Gil Bub; Neil Herring
Journal:  Front Physiol       Date:  2019-03-29       Impact factor: 4.566

8.  ECG morphological variability in beat space for risk stratification after acute coronary syndrome.

Authors:  Yun Liu; Zeeshan Syed; Benjamin M Scirica; David A Morrow; John V Guttag; Collin M Stultz
Journal:  J Am Heart Assoc       Date:  2014-06-24       Impact factor: 5.501

9.  Automatic Identification of the Repolarization Endpoint by Computing the Dominant T-wave on a Reduced Number of Leads.

Authors:  C Giuliani; A Agostinelli; F Di Nardo; S Fioretti; L Burattini
Journal:  Open Biomed Eng J       Date:  2016-04-30
  9 in total

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