Literature DB >> 9793090

Magnetocardiographic QT interval dispersion in postmyocardial infarction patients with sustained ventricular tachycardia: validation of automated QT measurements.

L Oikarinen1, M Paavola, J Montonen, M Viitasalo, M Mäkijärvi, L Toivonen, T Katila.   

Abstract

QT dispersion is a measure of heterogeneity in ventricular repolarization. Increased ECG QT dispersion is associated with life-threatening ventricular arrhythmias. We studied if magnetocardiographic (MCG) measures of QT dispersion can separate postmyocardial infarction patients with and without susceptibility to sustained VT. Manual dispersion measurements were compared to a newly adapted automatic QT interval analysis method. Ten patients with a history of sustained VT (VT group) and eight patients without ventricular arrhythmias (Controls) were studied after a remote myocardial infarction. Single-channel MCGs were recorded from 42 locations over the frontal chest area and the signals were averaged. QT dispersion was defined as maximum-minimum or standard deviation of measured QT intervals. VT group showed significantly more QT and JT dispersion than Controls. QTapex dispersions were 127 +/- 26 versus 83 +/- 21 ms (P = 0.004) and QTend dispersions 130 +/- 37 versus 82 +/- 37 ms (P = 0.013), respectively. Automatic method gave comparable values. Their relative differences were 9% for QTapex and 27% for QTend dispersion on average. In conclusion, increased MCG QT interval dispersion seems to be associated with a susceptibility to VT in postmyocardial infarction patients. MCG mapping with automated QT interval analysis may provide a user independent method to detect nonhomogeneity in ventricular repolarization.

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Year:  1998        PMID: 9793090     DOI: 10.1111/j.1540-8159.1998.tb00013.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  16 in total

1.  Common genetic variants, QT interval, and sudden cardiac death in a Finnish population-based study.

Authors:  Peter A Noseworthy; Aki S Havulinna; Kimmo Porthan; Annukka M Lahtinen; Antti Jula; Pekka J Karhunen; Markus Perola; Lasse Oikarinen; Kimmo K Kontula; Veikko Salomaa; Christopher Newton-Cheh
Journal:  Circ Cardiovasc Genet       Date:  2011-04-21

2.  Magnetocardiographic assessment of healed myocardial infarction.

Authors:  Helena Hänninen; Miia Holmström; Paula Vesterinen; Milla Karvonen; Heikki Väänänen; Lasse Oikarinen; Markku Mäkijärvi; Jukka Nenonen; Kirsi Lauerma; Toivo Katila; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

3.  Reproducibility of computerized measurements of QT interval from multiple leads at rest and during exercise.

Authors:  Anna-Mari Hekkala; Heikki Väänänen; Heikki Swan; Lasse Oikarinen; Matti Viitasalo; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-10       Impact factor: 1.468

4.  Epinephrine bolus test in detecting long QT syndrome mutation carriers with indeterminable electrocardiographic phenotype.

Authors:  Anna-Mari Hekkala; Heikki Swan; Matti Viitasalo; Heikki Väänänen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-04       Impact factor: 1.468

5.  Predicting recovery of myocardial function by electrocardiography after acute infarction.

Authors:  Minna M Kylmälä; Teijo Konttila; Paula Vesterinen; Mats Lindholm; Heikki Väänänen; Matti Stenroos; Markku S Nieminen; Helena Hänninen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-11-22       Impact factor: 1.468

6.  U wave features in body surface potential mapping in post-myocardial infarction patients.

Authors:  Bei Wang; Petri Korhonen; Ilkka Tierala; Helena Hänninen; Heikki Väänänen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-07-30       Impact factor: 1.468

7.  A common variant near the KCNJ2 gene is associated with T-peak to T-end interval.

Authors:  Annukka Marjamaa; Lasse Oikarinen; Kimmo Porthan; Samuli Ripatti; Gina Peloso; Peter A Noseworthy; Matti Viitasalo; Markku S Nieminen; Lauri Toivonen; Kimmo Kontula; Leena Peltonen; Aki S Havulinna; Antti Jula; Christopher J O'Donnell; Christopher Newton-Cheh; Markus Perola; Veikko Salomaa
Journal:  Heart Rhythm       Date:  2012-02-15       Impact factor: 6.343

8.  Relationship of common candidate gene variants to electrocardiographic T-wave peak to T-wave end interval and T-wave morphology parameters.

Authors:  Kimmo Porthan; Annukka Marjamaa; Matti Viitasalo; Heikki Väänänen; Antti Jula; Lauri Toivonen; Markku S Nieminen; Christopher Newton-Cheh; Veikko Salomaa; Kimmo Kontula; Lasse Oikarinen
Journal:  Heart Rhythm       Date:  2010-03-04       Impact factor: 6.343

9.  Assessment of myocardial infarct size with body surface potential mapping: validation against contrast-enhanced cardiac magnetic resonance imaging.

Authors:  Minna M Kylmälä; Teijo Konttila; Paula Vesterinen; Sari M Kivistö; Kirsi Lauerma; Mats Lindholm; Heikki Väänänen; Matti Stenroos; Markku S Nieminen; Helena Hänninen; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-09-18       Impact factor: 1.468

10.  A method for detecting myocardial abnormality by using a total current-vector calculated from ST-segment deviation of a magnetocardiogram signal.

Authors:  A Kandori; H Kanzaki; K Miyatake; S Hashimoto; S Itoh; N Tanaka; T Miyashita; K Tsukada
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

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