Literature DB >> 22157521

Crescendo in depolarization and repolarization heterogeneity heralds development of ventricular tachycardia in hospitalized patients with decompensated heart failure.

Bruce D Nearing1, Gregory A Wellenius, Murray A Mittleman, Mark E Josephson, Andrew J Burger, Richard L Verrier.   

Abstract

BACKGROUND: A critical need exists for reliable warning markers of in-hospital life-threatening arrhythmias. We used a new quantitative method to track interlead heterogeneity of depolarization and repolarization to detect premonitory changes before ventricular tachycardia (VT) in hospitalized patients with acute decompensated heart failure. METHODS AND
RESULTS: Ambulatory ECGs (leads V(1), V(5), and aVF) recorded before initiation of drug therapy from patients enrolled in the PRECEDENT (Prospective Randomized Evaluation of Cardiac Ectopy with Dobutamine or Nesiritide Therapy) trial were analyzed. R-wave heterogeneity (RWH) and T-wave heterogeneity (TWH) were assessed by second central moment analysis and T-wave alternans (TWA) by modified moving average analysis. Of 44 patients studied, 22 had experienced episodes of VT (≥4 beats at heart rates >100 beats/min) following ≥120 minutes of stable sinus rhythm, and 22 were age- and sex-matched patients without VT. TWA increased from 18.6±2.1 μV (baseline, mean±SEM) to 27.9±4.6 μV in lead V(5) at 15 to 30 minutes before VT (P<0.05) and remained elevated until the arrhythmia occurred. TWA results in leads V(1) and aVF were similar. RWH and TWH were elevated from 164.1±33.1 and 134.5±20.6 μV (baseline) to 299.8±54.5 and 239.2±37.0 μV at 30 to 45 minutes before VT (P<0.05), respectively, preceding the crescendo in TWA by 15 minutes. Matched patients without VT did not display elevated RWH (185.5±29.4 μV) or TWH (157.1±27.2 μV) during the 24-hour period.
CONCLUSIONS: This investigation is the first clinical demonstration of the potential utility of tracking depolarization and repolarization heterogeneity to detect crescendos in electrical instability that could forewarn of impending nonsustained VT. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00270400.

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Year:  2011        PMID: 22157521      PMCID: PMC3296063          DOI: 10.1161/CIRCEP.111.965434

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  43 in total

1.  Effect of nesiritide (B-type natriuretic peptide) and dobutamine on ventricular arrhythmias in the treatment of patients with acutely decompensated congestive heart failure: the PRECEDENT study.

Authors:  Andrew J Burger; Darlene P Horton; Thierry LeJemtel; Jalal K Ghali; Guillermo Torre; George Dennish; Michael Koren; Jay Dinerman; Marc Silver; Mei L Cheng; Uri Elkayam
Journal:  Am Heart J       Date:  2002-12       Impact factor: 4.749

2.  Exercise is superior to pacing for T wave alternans measurement in subjects with chronic coronary artery disease and left ventricular dysfunction.

Authors:  Eric J Rashba; Ahmed F Osman; Karen MacMurdy; Malcolm M Kirk; Samantha Sarang; Robert W Peters; Stephen R Shorofsky; Michael R Gold
Journal:  J Cardiovasc Electrophysiol       Date:  2002-09

3.  Predictive value of T-wave alternans for arrhythmic events in patients with congestive heart failure.

Authors:  T Klingenheben; M Zabel; R B D'Agostino; R J Cohen; S H Hohnloser
Journal:  Lancet       Date:  2000-08-19       Impact factor: 79.321

4.  Microvolt T-wave alternans distinguishes between patients likely and patients not likely to benefit from implanted cardiac defibrillator therapy: a solution to the Multicenter Automatic Defibrillator Implantation Trial (MADIT) II conundrum.

Authors:  Daniel M Bloomfield; Richard C Steinman; Pearila B Namerow; Michael Parides; Jorge Davidenko; Elizabeth S Kaufman; Timothy Shinn; Anne Curtis; John Fontaine; Douglas Holmes; Andrea Russo; Chuen Tang; J Thomas Bigger
Journal:  Circulation       Date:  2004-09-27       Impact factor: 29.690

5.  Tracking cardiac electrical instability by computing interlead heterogeneity of T-wave morphology.

Authors:  Bruce D Nearing; Richard L Verrier
Journal:  J Appl Physiol (1985)       Date:  2003-08-01

6.  Fluctuations in T-wave morphology and susceptibility to ventricular fibrillation.

Authors:  D R Adam; J M Smith; S Akselrod; S Nyberg; A O Powell; R J Cohen
Journal:  J Electrocardiol       Date:  1984-07       Impact factor: 1.438

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

Authors:  T Ikeda; T Sakata; M Takami; N Kondo; N Tezuka; T Nakae; M Noro; Y Enjoji; R Abe; K Sugi; T Yamaguchi
Journal:  J Am Coll Cardiol       Date:  2000-03-01       Impact factor: 24.094

8.  Enhanced detection of arrhythmia vulnerability using T wave alternans, left ventricular ejection fraction, and programmed ventricular stimulation: a prospective study in subjects with chronic ischemic heart disease.

Authors:  Eric J Rashba; Ahmed F Osman; Karen Macmurdy; Malcolm M Kirk; Samantha E Sarang; Robert W Peters; Stephen R Shorofsky; Michael R Gold
Journal:  J Cardiovasc Electrophysiol       Date:  2004-02

9.  Influence of QRS duration on the prognostic value of T wave alternans.

Authors:  Eric J Rashba; Ahmed F Osman; Karen MacMurdy; Malcolm M Kirk; Samantha Sarang; Robert W Peters; Stephen R Shorofsky; Michael R Gold
Journal:  J Cardiovasc Electrophysiol       Date:  2002-08

10.  Linkage between mechanical and electrical alternans in patients with chronic heart failure.

Authors:  Makoto Kodama; Kiminori Kato; Satoru Hirono; Yuji Okura; Haruo Hanawa; Tsuyoshi Yoshida; Manabu Hayashi; Hitoshi Tachikawa; Takeshi Kashimura; Kenichi Watanabe; Yoshifusa Aizawa
Journal:  J Cardiovasc Electrophysiol       Date:  2004-03
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  13 in total

1.  Analysis of speed, curvature, planarity and frequency characteristics of heart vector movement to evaluate the electrophysiological substrate associated with ventricular tachycardia.

Authors:  Larisa G Tereshchenko; Jonathan W Waks; Muammar Kabir; Elyar Ghafoori; Alexei Shvilkin; Mark E Josephson
Journal:  Comput Biol Med       Date:  2015-03-19       Impact factor: 4.589

2.  Marked exercise-induced T-wave heterogeneity in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis.

Authors:  Fernando G Stocco; Ederson Evaristo; Nishant R Shah; Michael K Cheezum; Jon Hainer; Courtney Foster; Bruce D Nearing; Ernest Gervino; Richard L Verrier
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-09-26       Impact factor: 1.468

3.  Multilead template-derived residua of surface ECGS for quantitative assessment of arrhythmia risk.

Authors:  Bruce D Nearing; Richard L Verrier
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-09-18       Impact factor: 1.468

Review 4.  T-wave alternans as an arrhythmic risk stratifier: state of the art.

Authors:  Faisal M Merchant; Omid Sayadi; Kasra Moazzami; Dheeraj Puppala; Antonis A Armoundas
Journal:  Curr Cardiol Rep       Date:  2013-09       Impact factor: 2.931

5.  Real-Time Closed-Loop Suppression of Repolarization Alternans Reduces Arrhythmia Susceptibility In Vivo.

Authors:  Faisal M Merchant; Omid Sayadi; Kwanghyun Sohn; Eric H Weiss; Dheeraj Puppala; Rajiv Doddamani; Jagmeet P Singh; E Kevin Heist; Chris Owen; Kanchan Kulkarni; Antonis A Armoundas
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-05-20

Review 6.  A translational approach to probe the proarrhythmic potential of cardiac alternans: a reversible overture to arrhythmogenesis?

Authors:  Faisal M Merchant; Omid Sayadi; Dheeraj Puppala; Kasra Moazzami; Victoria Heller; Antonis A Armoundas
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-12-06       Impact factor: 4.733

7.  Evolution of action potential alternans in rabbit heart during acute regional ischemia.

Authors:  Irma Martišienė; Jonas Jurevičius; Rūta Vosyliūtė; Antanas Navalinskas; Rimantas Treinys; Regina Mačianskienė; Rimantas Benetis; Arvydas Matiukas; Arkady M Pertsov
Journal:  Biomed Res Int       Date:  2015-02-26       Impact factor: 3.411

8.  Utility of a Smartphone Based System (cvrPhone) to Predict Short-term Arrhythmia Susceptibility.

Authors:  Kwanghyun Sohn; Steven P Dalvin; Faisal M Merchant; Kanchan Kulkarni; Furrukh Sana; Shady Abohashem; Jagmeet P Singh; E Kevin Heist; Chris Owen; Eric M Isselbacher; Antonis A Armoundas
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

9.  Spatial heterogeneity of electrical restitution as a predictor of ventricular tachyarrhythmias: a lumped-parameter approach.

Authors:  Vladimir Shusterman
Journal:  J Am Heart Assoc       Date:  2012-08-24       Impact factor: 5.501

10.  Comparison of sum absolute QRST integral, and temporal variability in depolarization and repolarization, measured by dynamic vectorcardiography approach, in healthy men and women.

Authors:  Sanjoli Sur; Lichy Han; Larisa G Tereshchenko
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

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