Literature DB >> 3779919

Mapping of body surface potentials in patients with the idiopathic long QT syndrome.

L De Ambroggi, T Bertoni, E Locati, M Stramba-Badiale, P J Schwartz.   

Abstract

Body surface potential maps were recorded from 140 chest leads in 25 patients affected by the idiopathic long QT syndrome (LQTS) and in 25 healthy control subjects matched for age and sex. Potential time integrals of the QRST and ST-T intervals were calculated at each lead point and displayed as isointegral (ISOI) maps. The main abnormalities noted on the QRST and ST-T ISOI maps were one area of negative values larger than normal in the right anterior and inferior thorax and a complex multipeak distribution of the integral values. At least one abnormality was present in 19 (76%) of the patients with LQTS and four (16%) of the control subjects (p less than .001). Each ISOI map was also represented as a weighted sum of nine fundamental components (eigenvectors) to detect and quantitate the nondipolar content. The percent contribution of the nondipolar eigenvectors (all eigenvectors beyond the third) was significantly higher in the LQTS group than in the control group (p less than .005). Specifically, an abnormally high nondipolar content on the QRST ISOI maps was observed much more frequently for patients with LQTS than for control subjects (nine or 36% vs one or 4%), and this was also true on the ST-T ISOI maps (14 or 56% vs one or 4%). No correlation was found between the major abnormalities on body surface maps and syncopal episodes. However, the high prevalence (76%) of these alterations among the patients with LQTS and their infrequent occurrence in the control population strongly suggests that they may be useful markers for the diagnosis of atypical cases. The prominent electronegative area on the anterior thorax can be related to delayed repolarization of a portion of the anterior wall of the heart. This finding is in agreement with the hypothesis that lower than normal right cardiac sympathetic activity is the main pathogenetic mechanism of LQTS. Multipeak distribution and high nondipolar content suggest regional electrical disparities in the ventricular recovery process. This may in part account for the high susceptibility of patients with LQTS to malignant arrhythmias.

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Year:  1986        PMID: 3779919     DOI: 10.1161/01.cir.74.6.1334

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  9 in total

1.  T-wave morphology parameters based on principal component analysis reproducibility and dependence on T-offset position.

Authors:  Fabrice Extramiana; Abdeddayem Haggui; Pierre Maison-Blanche; Rémi Dubois; Seiji Takatsuki; Philippe Beaufils; Antoine Leenhardt
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-10       Impact factor: 1.468

2.  Nondipolar content of T wave derived from a myocardial source simulation with increased repolarization inhomogeneity.

Authors:  Milos Kesek; Ola Gustavsson; Urban Wiklund
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-04       Impact factor: 1.468

3.  Adjustment of QT dispersion assessed from 12 lead electrocardiograms for different numbers of analysed electrocardiographic leads: comparison of stability of different methods.

Authors:  K Hnatkova; M Malik; J Kautzner; Y Gang; A J Camm
Journal:  Br Heart J       Date:  1994-10

4.  Electrophysiologic substrate in congenital Long QT syndrome: noninvasive mapping with electrocardiographic imaging (ECGI).

Authors:  Ramya Vijayakumar; Jennifer N A Silva; Kavit A Desouza; Robert L Abraham; Maria Strom; Frederic Sacher; George F Van Hare; Michel Haïssaguerre; Dan M Roden; Yoram Rudy
Journal:  Circulation       Date:  2014-10-07       Impact factor: 29.690

5.  Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Authors:  Jake Bergquist; Lindsay Rupp; Brian Zenger; James Brundage; Anna Busatto; Rob S MacLeod
Journal:  Hearts (Basel)       Date:  2021-11-05

6.  Dispersion of regional wall motion abnormality in patients with long QT syndrome.

Authors:  K Nakayama; H Yamanari; F Otsuka; K Fukushima; H Saito; Y Fujimoto; T Emori; H Matsubara; S Uchida; T Ohe
Journal:  Heart       Date:  1998-09       Impact factor: 5.994

7.  Risk assessment of ventricular arrhythmia using new parameters based on high resolution body surface potential mapping.

Authors:  Malgorzata Fereniec; Gunter Stix; Michal Kania; Tomasz Mroczka; Dariusz Janusek; Roman Maniewski
Journal:  Med Sci Monit       Date:  2011-02-25

8.  Genotype-Specific ECG-Based Risk Stratification Approaches in Patients With Long-QT Syndrome.

Authors:  Marina Rieder; Paul Kreifels; Judith Stuplich; David Ziupa; Helge Servatius; Luisa Nicolai; Alessandro Castiglione; Christiane Zweier; Babken Asatryan; Katja E Odening
Journal:  Front Cardiovasc Med       Date:  2022-07-14

9.  Improved Clinical Risk Stratification in Patients with Long QT Syndrome? Novel Insights from Multi-Channel ECGs.

Authors:  Alexander Samol; Mehmet Gönes; Sven Zumhagen; Hans-Jürgen Bruns; Matthias Paul; Christian Vahlhaus; Johannes Waltenberger; Eric Schulze-Bahr; Lars Eckardt; Gerold Mönnig
Journal:  PLoS One       Date:  2016-07-05       Impact factor: 3.240

  9 in total

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