DocumentCode
3562308
Title
The effect of low potassium in Brugrada Syndrome: A simulation study
Author
Cardona, K. ; Gomez, J.F. ; Saiz, J. ; Giles, W. ; Trenor, B.
Author_Institution
Inst. Interuniversitario de Investig. en Bioingenieria y Tecnol. Orientada al Ser Humano, Univ. Politec. de Valencia, Valencia, Spain
fYear
2014
Firstpage
1025
Lastpage
1028
Abstract
Brugada Syndrome (BrS) is associated with an increased risk of ventricular arrhythmias. It is caused by ion channel abnormalities and is characterized by coved ST elevation, J wave appearance and negative T waves in the right precordial electrocardiographic lead. The changes in the electrocardiogram (ECG) in the setting of BrS can be due to reduced inward currents, increased outward currents (Ito) and fibrosis. Some clinical reports relate hypokalemia to arrhythmic events (in the presence of other pathologies). Hypokalemia contributes to ST-segment elevation and changes in the T-wave morphology. It seems plausible that in patients with BrS, low extracellular potassium concentration ([K+]o) might increase repolarization gradients, especially in right ventricle (RV), setting the stage for ventricular arrhythmia. The main goal of this study is evaluate the effect of low [K+]o in BrS using a mathematical modeling approach. Our results show that transmural dispersion of repolarization (TDR) was augmented in hypokalemic conditions. Furthermore, Tpeak-Tend interval was calculated from the pseudo-ECG and was increased by 14 and 51 % in BrS and in BrS combined with hypokalemia, respectively, with respect to control. Additionally, a prominent J wave was observed in BrS and this increased if hypokalemia was also introduced.
Keywords
biochemistry; biomembrane transport; electrocardiography; physiological models; Brugada syndrome; J wave appearance; ST-segment elevation; TDR; electrocardiogram; fibrosis; hypokalemic conditions; ion channel abnormality; low extracellular potassium concentration; mathematical modeling; negative T-wave morphology; pseudoECG; repolarization gradients; right precordial electrocardiographic lead; right ventricle; transmural dispersion-of-repolarization; ventricular arrhythmia; Abstracts; Artificial neural networks; Computational modeling; Electrocardiography; Rhythm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7043220
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