Literature DB >> 21704222

Predictive power of T-wave alternans and of ventricular gradient hysteresis for the occurrence of ventricular arrhythmias in primary prevention cardioverter-defibrillator patients.

Sumche Man1, Priscilla V De Winter, Arie C Maan, Joep Thijssen, C Jan Willem Borleffs, Wilbert P M van Meerwijk, Marianne Bootsma, Lieselot van Erven, Ernst E van der Wall, Martin J Schalij, Laura Burattini, Roberto Burattini, Cees A Swenne.   

Abstract

BACKGROUND AND
PURPOSE: Left ventricular ejection fraction lacks specificity to predict sudden cardiac death in heart failure. T-wave alternans (TWA; beat-to-beat T-wave instability, often measured during exercise) is deemed a promising noninvasive predictor of major cardiac arrhythmic event. Recently, it was demonstrated that TWA during recovery from exercise has additional predictive value. Another mechanism that potentially contributes to arrhythmogeneity is exercise-recovery hysteresis in action potential morphology distribution, which becomes apparent in the spatial ventricular gradient (SVG). In the current study, we investigated the performance of TWA amplitude (TWAA) during a complete exercise test and of exercise-recovery SVG hysteresis (SVGH) as predictors for lethal arrhythmias in a population of heart failure patients with cardioverter-defibrillators (ICDs) implanted for primary prevention.
METHODS: We performed a case-control study with 34 primary prevention ICD patients, wherein 17 patients (cases) and 17 patients (controls) had no ventricular arrhythmia during follow-up. We computed, in electrocardiograms recorded during exercise tests, TWAA (maximum over the complete test) and the exercise-recovery hysteresis in the SVG. Statistical analyses were done by using the Student t test, Spearman rank correlation analysis, receiver operating characteristics analysis, and Kaplan-Meier analysis. Significant level was set at 5%.
RESULTS: Both SVGH and TWAA differed significantly (P < .05) between cases (mean ± SD, SVGH: -18% ± 26%, TWAA: 80 ± 46 μV) and controls (SVGH: 5% ± 26%, TWAA: 49 ± 20 μV). Values of TWAA and SVGH showed no significant correlation in cases (r = -0.16, P = .56) and in controls (r = -0.28, P = .27). Receiver operating characteristics of SVGH (area under the curve = 0.734, P = .020) revealed that SVGH less than 14.8% discriminated cases and controls with 94.1% sensitivity and 41.2% specificity; hazard ratio was 3.34 (1.17-9.55). Receiver operating characteristics of TWA (area under the curve = 0.699, P = .048) revealed that TWAA greater than 32.5 μV discriminated cases and controls with 93.8% sensitivity and 23.5% specificity; hazard ratio was 2.07 (0.54-7.91). DISCUSSION AND
CONCLUSION: Spatial ventricular gradient hysteresis bears predictive potential for arrhythmias in heart failure patients with an ICD for primary prevention, whereas TWA analysis seems to have lesser predictive value in our pilot group. Spatial ventricular gradient hysteresis is relatively robust for noise, and, as it rests on different electrophysiologic properties than TWA, it may convey additional information. Hence, joint analysis of TWA and SVGH may, possibly, improve the noninvasive identification of high-risk patients. Further research, in a large group of patients, is required and currently carried out by our group.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21704222     DOI: 10.1016/j.jelectrocard.2011.05.004

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


  8 in total

1.  Comparison of standard versus orthogonal ECG leads for T-wave alternans identification.

Authors:  Laura Burattini; Sumche Man; Roberto Burattini; Cees A Swenne
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-04       Impact factor: 1.468

2.  Dependency of exercise-induced T-wave alternans predictive power for the occurrence of ventricular arrhythmias from heart rate.

Authors:  Laura Burattini; Sumche Man; Sandro Fioretti; Francesco Di Nardo; Cees A Swenne
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-11-04       Impact factor: 1.468

Review 3.  Global electrical heterogeneity: A review of the spatial ventricular gradient.

Authors:  Jonathan W Waks; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2016-07-28       Impact factor: 1.438

4.  Predictive Power of f99 Repolarization Index for the Occurrence of Ventricular Arrhythmias.

Authors:  Corrado Giuliani; Cees A Swenne; Sumche Man; Angela Agostinelli; Sandro Fioretti; Francesco Di Nardo; Laura Burattini
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-11-25       Impact factor: 1.468

5.  Heart Rate-Dependent Hysteresis of T-Wave Alternans in Primary Prevention ICD Patients.

Authors:  Laura Burattini; Sumche Man; Sandro Fioretti; Francesco Di Nardo; Cees A Swenne
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-12-16       Impact factor: 1.468

6.  Abnormal repolarization in the acute myocardial infarction patients: a frequency-based characterization.

Authors:  Corrado Giuliani; Angela Agostinelli; Sandro Fioretti; Francesco D Nardo; Laura B Burattini
Journal:  Open Biomed Eng J       Date:  2014-07-11

7.  The value of ventricular gradient for predicting pulmonary hypertension and mortality in hemodialysis patients.

Authors:  A Jaroszyński; T T Schlegel; T Zaborowski; T Zapolski; W Załuska; A Janion-Sadowska; D Kozieł; S Głuszek; W Dąbrowski
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

8.  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
  8 in total

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