Literature DB >> 20378124

Failure in short-term prediction of ventricular tachycardia and ventricular fibrillation from continuous electrocardiogram in intensive care unit patients.

Molly Sachdev1, Barry J Fetics, Shenghan Lai, Darshan Dalal, Jerald Insel, Ronald D Berger.   

Abstract

BACKGROUND: Patients in the intensive care unit (ICU) setting are prone to malignant ventricular arrhythmias. We sought to test whether electrocardiographic (ECG) markers of autonomic tone, ventricular irritability, and repolarization lability could be used in short-term prediction of ventricular arrhythmias in this patient population.
METHODS: We studied 38 patients with sustained (>30 seconds) monomorphic ventricular tachycardia, polymorphic ventricular tachycardia, or ventricular fibrillation while monitored in the ICU and 30 patients without arrhythmia in the ICU who served as controls. All patients had at least 12 hours of continuously recorded multilead ECG before arrhythmic event. Mean heart rate and measures of heart rate variability, QT variability, and ventricular ectopy were quantified in 1-hour epochs for the 12 hours before the arrhythmic event and in 5-minute epochs for the last hour preevent (and using a random termination time point in controls).
RESULTS: A modest downward trend in QT variability and a rise in heart rate were observed hours before polymorphic ventricular tachycardia and ventricular fibrillation events, although no significant changes heralded monomorphic ventricular tachycardia and no changes in any parameter predicted imminent ventricular arrhythmia of any type. There were no significant differences in ECG parameters between arrhythmia patients and controls.
CONCLUSIONS: In ICU patients, sustained ventricular arrhythmias are not preceded by change in ECG measures of autonomic tone, repolarization variability, and ventricular ectopy. Short-term arrhythmia prediction may be difficult or impossible in this patient population based on ECG measures alone. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20378124      PMCID: PMC2914842          DOI: 10.1016/j.jelectrocard.2010.02.005

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


  28 in total

1.  Decreased heart rate variability and its association with increased mortality after acute myocardial infarction.

Authors:  R E Kleiger; J P Miller; J T Bigger; A J Moss
Journal:  Am J Cardiol       Date:  1987-02-01       Impact factor: 2.778

2.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
Journal:  Circulation       Date:  1996-03-01       Impact factor: 29.690

3.  Neural activity and ventricular fibrillation.

Authors:  B Lown; R L Verrier
Journal:  N Engl J Med       Date:  1976-05-20       Impact factor: 91.245

4.  Prognostic value of reduced heart rate variability after myocardial infarction: clinical evaluation of a new analysis method.

Authors:  T R Cripps; M Malik; T G Farrell; A J Camm
Journal:  Br Heart J       Date:  1991-01

5.  Heart disease and stroke statistics--2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee.

Authors:  Donald Lloyd-Jones; Robert Adams; Mercedes Carnethon; Giovanni De Simone; T Bruce Ferguson; Katherine Flegal; Earl Ford; Karen Furie; Alan Go; Kurt Greenlund; Nancy Haase; Susan Hailpern; Michael Ho; Virginia Howard; Brett Kissela; Steven Kittner; Daniel Lackland; Lynda Lisabeth; Ariane Marelli; Mary McDermott; James Meigs; Dariush Mozaffarian; Graham Nichol; Christopher O'Donnell; Veronique Roger; Wayne Rosamond; Ralph Sacco; Paul Sorlie; Randall Stafford; Julia Steinberger; Thomas Thom; Sylvia Wasserthiel-Smoller; Nathan Wong; Judith Wylie-Rosett; Yuling Hong
Journal:  Circulation       Date:  2008-12-15       Impact factor: 29.690

Review 6.  Sudden cardiac death: epidemiology, transient risk, and intervention assessment.

Authors:  R J Myerburg; K M Kessler; A Castellanos
Journal:  Ann Intern Med       Date:  1993-12-15       Impact factor: 25.391

7.  Frequency domain measures of heart rate variability before the onset of nonsustained and sustained ventricular tachycardia in patients with coronary artery disease.

Authors:  H V Huikuri; J O Valkama; K E Airaksinen; T Seppänen; K M Kessler; J T Takkunen; R J Myerburg
Journal:  Circulation       Date:  1993-04       Impact factor: 29.690

8.  Conventional heart rate variability analysis of ambulatory electrocardiographic recordings fails to predict imminent ventricular fibrillation.

Authors:  T Vybiral; D H Glaeser; A L Goldberger; D R Rigney; K R Hess; J Mietus; J E Skinner; M Francis; C M Pratt
Journal:  J Am Coll Cardiol       Date:  1993-08       Impact factor: 24.094

9.  Risk stratification for arrhythmic events in postinfarction patients based on heart rate variability, ambulatory electrocardiographic variables and the signal-averaged electrocardiogram.

Authors:  T G Farrell; Y Bashir; T Cripps; M Malik; J Poloniecki; E D Bennett; D E Ward; A J Camm
Journal:  J Am Coll Cardiol       Date:  1991-09       Impact factor: 24.094

10.  Relation between heart rate variability and spontaneous and induced ventricular arrhythmias in patients with coronary artery disease.

Authors:  J O Valkama; H V Huikuri; M J Koistinen; S Yli-Mäyry; K E Airaksinen; R J Myerburg
Journal:  J Am Coll Cardiol       Date:  1995-02       Impact factor: 24.094

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Authors:  Xiaozhong Chen; Natalia A Trayanova
Journal:  IEEE Trans Biomed Eng       Date:  2011-10-06       Impact factor: 4.538

2.  Unstable QT interval dynamics precedes ventricular tachycardia onset in patients with acute myocardial infarction: a novel approach to detect instability in QT interval dynamics from clinical ECG.

Authors:  Xiaozhong Chen; Yuxuan Hu; Barry J Fetics; Ronald D Berger; Natalia A Trayanova
Journal:  Circ Arrhythm Electrophysiol       Date:  2011-08-14

3.  QT interval variability in body surface ECG: measurement, physiological basis, and clinical value: position statement and consensus guidance endorsed by the European Heart Rhythm Association jointly with the ESC Working Group on Cardiac Cellular Electrophysiology.

Authors:  Mathias Baumert; Alberto Porta; Marc A Vos; Marek Malik; Jean-Philippe Couderc; Pablo Laguna; Gianfranco Piccirillo; Godfrey L Smith; Larisa G Tereshchenko; Paul G A Volders
Journal:  Europace       Date:  2016-01-27       Impact factor: 5.214

4.  ECG-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree.

Authors:  Satria Mandala; Tham Cai Di; Mohd Shahrizal Sunar
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

5.  Temporal Changes in Beat-to-Beat Variability of Repolarization Predict Imminent Nonsustained Ventricular Tachycardia in Patients With Ischemic and Nonischemic Dilated Cardiomyopathy.

Authors:  Matthew Amoni; Sebastian Ingelaere; Jonathan Moeyersons; Bert Vandenberk; Piet Claus; Robin Lemmens; Sabine Van Huffel; Karin Sipido; Carolina Varon; Rik Willems
Journal:  J Am Heart Assoc       Date:  2022-06-22       Impact factor: 6.106

6.  Longitudinal changes in intracardiac repolarization lability in patients with implantable cardioverter-defibrillator.

Authors:  Abhilash Guduru; Jason Lansdown; Daniil Chernichenko; Ronald D Berger; Larisa G Tereshchenko
Journal:  Front Physiol       Date:  2013-08-12       Impact factor: 4.566

Review 7.  ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review.

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