Identification of Concealed and Manifest Long QT Syndrome Using a Novel T Wave Analysis Program
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00303193" target="_blank" >RIV/68407700:21730/16:00303193 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1161/CIRCEP.115.003830" target="_blank" >https://doi.org/10.1161/CIRCEP.115.003830</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1161/CIRCEP.115.003830" target="_blank" >10.1161/CIRCEP.115.003830</a>
Alternative languages
Result language
angličtina
Original language name
Identification of Concealed and Manifest Long QT Syndrome Using a Novel T Wave Analysis Program
Original language description
Background-Congenital long QT syndrome (LQTS) is characterized by QT prolongation. However, the QT interval itself is insufficient for diagnosis, unless the corrected QT interval is repeatedly >= 500 ms without an acquired explanation. Further, the majority of LQTS patients have a corrected QT interval below this threshold, and a significant minority has normal resting corrected QT interval values. Here, we aimed to develop and validate a novel, quantitative T wave morphological analysis program to differentiate LQTS patients from healthy controls. Methods and Results-We analyzed a genotyped cohort of 420 patients (22 +/- 16 years, 43% male) with either LQT1 (61%) or LQT2 (39%). ECG analysis was conducted using a novel, proprietary T wave analysis program that quantitates subtle changes in T wave morphology. The top 3 discriminating features in each ECG lead were determined and the lead with the best discrimination selected. Classification was performed using a linear discriminant classifier and validated on an untouched cohort. The top 3 features were Tpeak-Tend interval, T wave left slope, and T wave center of gravity x axis (last 25% of the T wave). Lead V6 had the best discrimination. It could distinguish 86.8% of LQTS patients from healthy controls. Moreover, it distinguished 83.33% of patients with concealed LQTS from controls, despite having essentially identical resting corrected QT interval values. Conclusions-T wave quantitative analysis on the 12-lead surface ECG provides an effective, novel tool to distinguish patients with either LQT1/LQT2 from healthy matched controls. It can provide guidance while mutation-specific genetic testing is in motion for family members.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Circulation: Arrhythmia and Electrophysiology
ISSN
1941-3149
e-ISSN
1941-3084
Volume of the periodical
9
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
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UT code for WoS article
000380610500006
EID of the result in the Scopus database
2-s2.0-84978835971