Literature DB >> 15534842

Post infarction risk stratification using the 3-D angle between QRS complex and T-wave vectors.

Marek Malik1, Katerina Hnatkova, Velislav N Batchvarov.   

Abstract

Present experience with prospective identification of patients who might benefit from prophylactic antiarrhythmic intervention is restricted to risk stratification using left ventricular ejection fraction (LVEF). The precision of LVEF-based identification of high risk patients is neither highly sensitive nor highly specific. This study investigated risk stratification of 466 survivors of acute myocardial infarction (86 women, mean age 57.5 years) for whom a 5-year follow-up was available. During the follow-up 67 patients died and 24 of these events were sudden arrhythmic deaths. In addition to LVEF, patients were stratified by mean heart rate, heart rate variability and the slope of heart rate turbulence, all derived from 24-hour Holter recording obtained before hospital discharge, and by the 3D angle between QRS complex and T wave vectors (total cosine R-to-T, TCRT) obtained from digital resting electrocardiogram before hospital discharge. Individual risk characteristics and their combinations were evaluated by calculating the areas under the receiver operator characteristics (ROC). The bootstrap technology was used to investigate these statistically. For the stratification of both all cause mortality and sudden arrhythmic death, TCRT was the strongest risk stratifier (area under ROC of 0.6857 +/- 0.0367, and 0.7275 +/- 0.0544, respectively) that compared very favourably to LVEF (area under the ROC of 0.6610 +/- 0.0362 and 0.6346 +/- 0.0595, for all cause and arrhythmic death prediction, both P < 10(-10) for the comparison with TCRT). TCRT was also stronger in combination with other stratifiers, eg, TCRT + LVEF (area under ROC of 0.7631 +/- 0.0325 and 0.8057 +/- 0.0473, for all cause and arrhythmic death prediction) was stronger than mean heart rate + LVEF (area under ROC of 0.7396 +/- 0.0298 and 0.7673 +/- 0.0445, respectively, both P < 10(-10) for comparison with TCRT + LVEF). Hence the 3D QRS-T angle is a very powerful risk stratifier especially suited for the prediction of sudden arrhythmic death. It should be prospectively investigated in future trials of prophylactic antiarrhythmic interventions.

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Year:  2004        PMID: 15534842     DOI: 10.1016/j.jelectrocard.2004.08.058

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


  10 in total

1.  Dynamics and rate-dependence of the spatial angle between ventricular depolarization and repolarization wave fronts during exercise ECG.

Authors:  Tuomas Kenttä; Mari Karsikas; Antti Kiviniemi; Mikko Tulppo; Tapio Seppänen; Heikki V Huikuri
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-07       Impact factor: 1.468

2.  Value of the frontal planar QRS-T angle on cardiac dysfunction in patients with old myocardial infarction.

Authors:  Yan-Hong Li; Xue-Jun Ren; Zhi-Hong Han; Yun-Long Wang; Ye Wang; Jin-Rong Zhang; Fang Chen
Journal:  Int J Clin Exp Med       Date:  2013-09-01

3.  Response to Letter to the Editor: Deep waters of science.

Authors:  Gary Tse; Adrian Baranchuk
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-06-01       Impact factor: 1.468

Review 4.  Total cosine R-to-T for predicting ventricular arrhythmic and mortality outcomes: A systematic review and meta-analysis.

Authors:  Gary Tse; Mengqi Gong; Cheuk Wai Wong; Cynthia Chan; Stamatis Georgopoulos; Yat Sun Chan; Bryan P Yan; Guangping Li; Paula Whittaker; Ana Ciobanu; Sadeq Ali-Hasan-Al-Saegh; Sunny H Wong; William K K Wu; George Bazoukis; Konstantinos Lampropoulos; Wing Tak Wong; Lap Ah Tse; Adrian M Baranchuk; Konstantinos P Letsas; Tong Liu
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-09-12       Impact factor: 1.468

5.  Shallow meta analysis.

Authors:  Marek Malik
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-04-19       Impact factor: 1.468

6.  The Wedensky test predicts malignant ventricular arrhythmias after myocardial infarction.

Authors:  Jan Peder Amlie; Harold Hoium; Per Mathisen; Marek Malik; Peter A Brady
Journal:  Scand Cardiovasc J       Date:  2013-10       Impact factor: 1.589

Review 7.  The spatial QRS-T angle: implications in clinical practice.

Authors:  Christina Voulgari; Stamatina Pagoni; Solomon Tesfaye; Nicholas Tentolouris
Journal:  Curr Cardiol Rev       Date:  2013-08

8.  The impact of electroconvulsive therapy on the spatial QRS-T angle and cardiac troponin T concentration in psychiatric patients.

Authors:  Michał Próchnicki; Grzegorz Rudzki; Michał Dzikowski; Andrzej Jaroszyński; Hanna Karakula-Juchnowicz
Journal:  PLoS One       Date:  2019-10-23       Impact factor: 3.240

9.  Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus.

Authors:  Jia Chen; Yubi Lin; Jian Yu; Wanqun Chen; Zhe Xu; Zhenzhen Yang; Chuqian Zeng; Wenfeng Li; Xiaoshu Lai; Qiji Lu; Jingwen Zhou; Bixia Tian; Jing Xu; Yanping Lin; Zuoyi Du; Aidong Zhang
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-05-04       Impact factor: 1.468

10.  Aortic stiffness, left ventricle hypertrophy, and homogeneity of ventricle repolarization in adult dialyzed patients.

Authors:  Tomasz Zapolski; Andrzej Jaroszyński; Anna Drelich-Zbroja; Anna Wysocka; Jacek Furmaga; Andrzej Wysokiński; Andrzej Książek; Małgorzata Szczerbo-Trojanowska; Sławomir Rudzki
Journal:  ScientificWorldJournal       Date:  2012-04-01
  10 in total

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