Literature DB >> 19530746

Identifying drug-induced repolarization abnormalities from distinct ECG patterns in congenital long QT syndrome: a study of sotalol effects on T-wave morphology.

Claus Graff1, Mads P Andersen, Joel Q Xue, Thomas B Hardahl, Jørgen K Kanters, Egon Toft, Michael Christiansen, Henrik K Jensen, Johannes J Struijk.   

Abstract

BACKGROUND: The electrocardiographic QT interval is used to identify drugs with potential harmful effects on cardiac repolarization in drug trials, but the variability of the measurement can mask drug-induced ECG changes. The use of complementary electrocardiographic indices of abnormal repolarization is therefore warranted. Most drugs associated with risk are inhibitors of the rapidly activating delayed rectifier potassium current (I(Kr)). This current is also inhibited in the congenital type 2 form of the long QT syndrome (LQT2). It is therefore possible that electrocardiographic LQT2 patterns might be used to identify abnormal repolarization patterns induced by drugs.
OBJECTIVE: To develop distinct T-wave morphology parameters typical of LQT2 and investigate their use as a composite measure for identification of d,l-sotalol (sotalol)-induced changes in T-wave morphology.
METHODS: Three independent study groups were included: a group of 917 healthy subjects and a group of 30 LQT2 carriers were used for the development of T-wave morphology measures. The computerized measure for T-wave morphology (morphology combination score, MCS) was based on asymmetry, flatness and notching, which are typical ECG patterns in LQT2. Blinded to labels, the new morphology measures were tested in a third group of 39 healthy subjects receiving sotalol. Over 3 days the sotalol group received 0, 160 and 320 mg doses, respectively, and a 12-lead Holter ECG was recorded for 22.5 hours each day. Drug-induced prolongation of the heart rate corrected QT interval (QTcF) was compared with changes in the computerized measure for T-wave morphology. Effect sizes for QTcF and MCS were calculated at the time of maximum plasma concentrations and for maximum change from baseline. Accuracy for separating baseline from sotalol recordings was evaluated by area under the receiver operating characteristic curves (AUCs) using all recordings from the time immediately post-dose to maximum change.
RESULTS: MCS separated baseline recordings from sotalol treatment with higher accuracy than QTcF for the 160 mg dose: (AUC) 84% versus 72% and for the 320 mg dose: (AUC) 94% versus 87%, p < 0.001. At maximum serum-plasma concentrations and at maximum individual change from baseline, the effect sizes for QTcF were less than half the effect sizes for MCS, p < 0.001. Effect sizes at peak changes of the mean were up to 3-fold higher for MCS compared with QTcF, p < 0.001. In subjects receiving sotalol, T-wave morphology reached similarity to LQT2, whereas QTcF did not.
CONCLUSION: Distinct ECG patterns in LQT2 carriers effectively quantified repolarization changes induced by sotalol. Further studies are needed to validate whether this measure has general validity for the identification of drug-induced disturbed repolarization.

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Year:  2009        PMID: 19530746     DOI: 10.2165/00002018-200932070-00006

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  40 in total

1.  Timing of new black box warnings and withdrawals for prescription medications.

Authors:  Karen E Lasser; Paul D Allen; Steffie J Woolhandler; David U Himmelstein; Sidney M Wolfe; David H Bor
Journal:  JAMA       Date:  2002-05-01       Impact factor: 56.272

2.  Spectrum of ST-T-wave patterns and repolarization parameters in congenital long-QT syndrome: ECG findings identify genotypes.

Authors:  L Zhang; K W Timothy; G M Vincent; M H Lehmann; J Fox; L C Giuli; J Shen; I Splawski; S G Priori; S J Compton; F Yanowitz; J Benhorin; A J Moss; P J Schwartz; J L Robinson; Q Wang; W Zareba; M T Keating; J A Towbin; C Napolitano; A Medina
Journal:  Circulation       Date:  2000-12-05       Impact factor: 29.690

3.  Classification of the long-QT syndrome based on discriminant analysis of T-wave morphology.

Authors:  J J Struijk; J K Kanters; M P Andersen; T Hardahl; C Graff; M Christiansen; E Toft
Journal:  Med Biol Eng Comput       Date:  2006-06-03       Impact factor: 2.602

4.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

5.  Notched T waves on Holter recordings enhance detection of patients with LQt2 (HERG) mutations.

Authors:  J M Lupoglazoff; I Denjoy; M Berthet; N Neyroud; L Demay; P Richard; B Hainque; G Vaksmann; D Klug; A Leenhardt; G Maillard; P Coumel; P Guicheney
Journal:  Circulation       Date:  2001-02-27       Impact factor: 29.690

6.  Evaluation of the spatial aspects of T-wave complexity in the long-QT syndrome.

Authors:  S G Priori; D W Mortara; C Napolitano; L Diehl; V Paganini; F Cantù; G Cantù; P J Schwartz
Journal:  Circulation       Date:  1997-11-04       Impact factor: 29.690

7.  Long QT syndrome. New electrocardiographic characteristics.

Authors:  J Benhorin; M Merri; M Alberti; E Locati; A J Moss; W J Hall; L Cui
Journal:  Circulation       Date:  1990-08       Impact factor: 29.690

8.  The morphology of the QT interval predicts torsade de pointes during acquired bradyarrhythmias.

Authors:  Ian Topilski; Ori Rogowski; Rafael Rosso; Dan Justo; Yitschak Copperman; Michael Glikson; Bernard Belhassen; Marek Hochenberg; Sami Viskin
Journal:  J Am Coll Cardiol       Date:  2007-01-04       Impact factor: 24.094

9.  Torsade de pointes due to quinidine: observations in 31 patients.

Authors:  J L Bauman; R A Bauernfeind; J V Hoff; B Strasberg; S Swiryn; K M Rosen
Journal:  Am Heart J       Date:  1984-03       Impact factor: 4.749

10.  T wave "humps" as a potential electrocardiographic marker of the long QT syndrome.

Authors:  M H Lehmann; F Suzuki; B S Fromm; D Frankovich; P Elko; R T Steinman; J Fresard; J J Baga; R T Taggart
Journal:  J Am Coll Cardiol       Date:  1994-09       Impact factor: 24.094

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  19 in total

1.  The T-peak-T-end interval as a marker of repolarization abnormality: a comparison with the QT interval for five different drugs.

Authors:  Tanveer A Bhuiyan; Claus Graff; Jørgen K Kanters; Jimmi Nielsen; Jacob Melgaard; Jørgen Matz; Egon Toft; Johannes J Struijk
Journal:  Clin Drug Investig       Date:  2015-11       Impact factor: 2.859

2.  Analysis of T-wave Amplitude Adaptation to Heart Rate Using RR-binning of Long-Term ECG Recordings.

Authors:  L Johannesen; Usl Grove; Js Sørensen; M Schmidt; C Graff; J-P Couderc
Journal:  Comput Cardiol (2010)       Date:  2010

Review 3.  Thorough QT Studies: Questions and Quandaries.

Authors:  Marek Malik; Christine E Garnett; Joanne Zhang
Journal:  Drug Saf       Date:  2010-01-01       Impact factor: 5.606

4.  Drug-induced changes in the T-wave morphology.

Authors:  Marek Malik
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

Review 5.  Assessing QT interval prolongation and its associated risks with antipsychotics.

Authors:  Jimmi Nielsen; Claus Graff; Jørgen K Kanters; Egon Toft; David Taylor; Jonathan M Meyer
Journal:  CNS Drugs       Date:  2011-06-01       Impact factor: 5.749

6.  Minimal T-wave representation and its use in the assessment of drug arrhythmogenicity.

Authors:  Saeed Shakibfar; Claus Graff; Jørgen K Kanters; Jimmi Nielsen; Samuel Schmidt; Johannes J Struijk
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-10-27       Impact factor: 1.468

7.  Automated T-wave analysis can differentiate acquired QT prolongation from congenital long QT syndrome.

Authors:  Alan Sugrue; Peter A Noseworthy; Vaclav Kremen; J Martijn Bos; Bo Qiang; Ram K Rohatgi; Yehu Sapir; Zachi I Attia; Peter Brady; Pedro J Caraballo; Samuel J Asirvatham; Paul A Friedman; Michael J Ackerman
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-04-21       Impact factor: 1.468

8.  Effects of bilastine on T-wave morphology and the QTc interval: a randomized, double-blind, placebo-controlled, thorough QTc study.

Authors:  Claus Graff; Johannes J Struijk; Jørgen K Kanters; Mads P Andersen; Egon Toft; Benoît Tyl
Journal:  Clin Drug Investig       Date:  2012-05-01       Impact factor: 2.859

9.  Electrocardiographic Markers of Appropriate Implantable Cardioverter-Defibrillator Therapy in Young People with Congenital Heart Diseases.

Authors:  Dunia Bárbara Benítez Ramos; Michel Cabrera Ortega; Jesús Castro Hevia; Margarita Dorantes Sánchez; Ailema Amelia Alemán Fernández; Osmin Castañeda Chirino; Marlenis Cruz Cardentey; Frank Martínez López; Roylan Falcón Rodríguez
Journal:  Pediatr Cardiol       Date:  2017-09-04       Impact factor: 1.655

10.  Association of Oral Contraceptives With Drug-Induced QT Interval Prolongation in Healthy Nonmenopausal Women.

Authors:  Joe-Elie Salem; Pauline Dureau; Anne Bachelot; Marine Germain; Pascal Voiriot; Bruno Lebourgeois; David-Alexandre Trégouët; Jean-Sébastien Hulot; Christian Funck-Brentano
Journal:  JAMA Cardiol       Date:  2018-09-01       Impact factor: 14.676

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