Literature DB >> 20146779

The time course of new T-wave ECG descriptors following single- and double-dose administration of sotalol in healthy subjects.

Fabrice Extramiana1, Rémi Dubois, Martino Vaglio, Pierre Roussel, Gerard Dreyfus, Fabio Badilini, Antoine Leenhardt, Pierre Maison-Blanche.   

Abstract

INTRODUCTION: The aim of the study was to assess the time course effect of IKr blockade on ECG biomarkers of ventricular repolarization and to evaluate the accuracy of a fully automatic approach for QT duration evaluation.
METHODS: Twelve-lead digital ECG Holter was recorded in 38 healthy subjects (27 males, mean age = 27.4 + or - 8.0 years) on baseline conditions (day 0) and after administration of 160 mg (day 1) and 320 mg (day 2) of d-l sotalol. For each 24-hour period and each subject, ECGs were extracted every 10 minutes during the 4-hour period following drug dosage. Ventricular repolarization was characterized using three biomarker categories: conventional ECG time intervals, principal component analysis (PCA) analysis on the T wave, and fully automatic biomarkers computed from a mathematical model of the T wave.
RESULTS: QT interval was significantly prolonged starting 1 hour 20 minutes after drug dosing with 160 mg and 1 hour 10 minutes after drug dosing with 320 mg. PCA ventricular repolarization parameters sotalol-induced changes were delayed (>3 hours). After sotalol dosing, the early phase of the T wave changed earlier than the late phase prolongation. Globally, the modeled surrogate QT paralleled manual QT changes. The duration of manual QT and automatic surrogate QT were strongly correlated (R(2) = 0.92, P < 0.001). The Bland and Altman plot revealed a nonstationary systematic bias (bias = 26.5 ms + or - 1.96*SD = 16 ms).
CONCLUSIONS: Changes in different ECG biomarkers of ventricular repolarization display different kinetics after administration of a potent potassium channel blocker. These differences need to be taken into account when designing ventricular repolarization ECG studies.

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Year:  2010        PMID: 20146779      PMCID: PMC6932454          DOI: 10.1111/j.1542-474X.2009.00336.x

Source DB:  PubMed          Journal:  Ann Noninvasive Electrocardiol        ISSN: 1082-720X            Impact factor:   1.468


  37 in total

1.  Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators.

Authors:  Rémi Dubois; Pierre Maison-Blanche; Brigitte Quenet; Gérard Dreyfus
Journal:  Comput Methods Programs Biomed       Date:  2007-11-07       Impact factor: 5.428

2.  ECG evaluation of ventricular properties: the importance of cardiac cycle length.

Authors:  Fabrice Extramiana; Antoine Leenhardt; Pierre Maison-Blanche
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

3.  Cellular basis for the normal T wave and the electrocardiographic manifestations of the long-QT syndrome.

Authors:  G X Yan; C Antzelevitch
Journal:  Circulation       Date:  1998-11-03       Impact factor: 29.690

4.  QTc interval (cardiac repolarization): lengthening after meals.

Authors:  D Nagy; R DeMeersman; D Gallagher; A Pietrobelli; A S Zion; D Daly; S B Heymsfield
Journal:  Obes Res       Date:  1997-11

Review 5.  Electrophysiologic parameters and predisposing factors in the generation of drug-induced Torsade de Pointes arrhythmias.

Authors:  M A Vos; J M van Opstal; J D Leunissen; S C Verduyn
Journal:  Pharmacol Ther       Date:  2001 Nov-Dec       Impact factor: 12.310

6.  The use of the singular value decomposition in electrocardiography.

Authors:  A A Damen; J van der Kam
Journal:  Med Biol Eng Comput       Date:  1982-07       Impact factor: 2.602

Review 7.  Relationships between preclinical cardiac electrophysiology, clinical QT interval prolongation and torsade de pointes for a broad range of drugs: evidence for a provisional safety margin in drug development.

Authors:  W S Redfern; L Carlsson; A S Davis; W G Lynch; I MacKenzie; S Palethorpe; P K S Siegl; I Strang; A T Sullivan; R Wallis; A J Camm; T G Hammond
Journal:  Cardiovasc Res       Date:  2003-04-01       Impact factor: 10.787

8.  Automatic analysis of cardiac repolarization morphology using Gaussian mesa function modeling.

Authors:  Fabio Badilini; Martino Vaglio; Rémi Dubois; Pierre Roussel; Nenad Sarapa; Isabelle Denjoy; Fabrice Extramiana; Pierre Maison-Blanche
Journal:  J Electrocardiol       Date:  2008 Nov-Dec       Impact factor: 1.438

9.  Oral erythromycin and the risk of sudden death from cardiac causes.

Authors:  Wayne A Ray; Katherine T Murray; Sarah Meredith; Sukumar Suguna Narasimhulu; Kathi Hall; C Michael Stein
Journal:  N Engl J Med       Date:  2004-09-09       Impact factor: 91.245

10.  Electrocardiographic identification of drug-induced QT prolongation: assessment by different recording and measurement methods.

Authors:  Nenad Sarapa; Joel Morganroth; Jean-Philippe Couderc; Steven F Francom; Borje Darpo; Joseph C Fleishaker; Janet D McEnroe; William T Chen; Wojciech Zareba; Arthur J Moss
Journal:  Ann Noninvasive Electrocardiol       Date:  2004-01       Impact factor: 1.468

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  1 in total

Review 1.  Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010-2016: A Systematic Literature Review.

Authors:  Brian Perry; Will Herrington; Jennifer C Goldsack; Cheryl A Grandinetti; Kaveeta P Vasisht; Martin J Landray; Lauren Bataille; Robert A DiCicco; Corey Bradley; Ashish Narayan; Elektra J Papadopoulos; Nirav Sheth; Ken Skodacek; Komathi Stem; Theresa V Strong; Marc K Walton; Amy Corneli
Journal:  Digit Biomark       Date:  2018-01-31
  1 in total

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