98288 20230914083307.0 doi 10.23919/CinC49843.2019.9005944 sideral 122006 ART-2019-122006 eng Bukhari, H.A. Universidad de Zaragoza (orcid)0000-0001-5976-0483 Transmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels 2019 Access copy available to the general public Unrestricted End-stage renal disease (ESRD) affects more than 10% of the world population. ESRD patients present impaired potassium homeostasis, which increases the risk for ventricular arrhythmias and sudden cardiac death. Noninvasive estimation of serum potassium, [K+], before the patient experiences serious consequences is of major importance. In this study, we investigated the relationship of [K+] with three T-wave morphological descriptors: the T-wave width (Tw), slope-to-amplitude ratio (TSA) and temporal morphological variability (dw) from ECGs of 12 ESRD patients undergoing hemodialysis and from simulated ECGs. Spearman''s correlation coefficients between the descriptors Tw, TSA and dw and [K+] were -0.5, 0. 8 and 0.65, respectively. These associations were, however, highly patient-dependent. The high inter-individual variability in T-wave morphology, particularly observed at high [K+], was reproduced in the simulations and could be explained by differences in transmural heterogeneities, with 10% variations in the proportion of midmyocardial cells leading to changes larger than 15% in T-wave morphology. In conclusion, T-wave morphological descriptors have the potential to be used as predictors of [K+] in ESRD patients, but their associated inter-individual variability should be taken into account, especially under hyperkalemic conditions. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284 info:eu-repo/grantAgreement/EC/H2020/764738/EU/Personalised In-Silico Cardiology/PIC This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 764738-PIC info:eu-repo/grantAgreement/EC/H2020/786833/EU/GENetics and the Electrocardiogram for predicting Scd rISk/GENESIS This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786833-GENESIS info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.296 2019 Computer Science (miscellaneous) 2019 Cardiology and Cardiovascular Medicine 2019 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Palmieri, F. Ferreira, D. Potse, M. Ramírez, J. Laguna, P. Universidad de Zaragoza (orcid)0000-0003-3434-9254 Sánchez, C. Universidad de Zaragoza (orcid)0000-0002-8236-825X Pueyo, E. Universidad de Zaragoza (orcid)0000-0002-1960-407X 2002 385 Universidad de Zaragoza Dpto. Física Aplicada Área Física Aplicada 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 46 (2019), [4 pp] Comput. cardiol. Computing in Cardiology 2325-8861 288605 http://zaguan.unizar.es/record/98288/files/texto_completo.pdf Versión publicada 2835315 http://zaguan.unizar.es/record/98288/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:98288 articulos driver 2023-09-13-10:56:10 ARTICLE