000098288 001__ 98288
000098288 005__ 20230914083307.0
000098288 0247_ $$2doi$$a10.23919/CinC49843.2019.9005944
000098288 0248_ $$2sideral$$a122006
000098288 037__ $$aART-2019-122006
000098288 041__ $$aeng
000098288 100__ $$0(orcid)0000-0001-5976-0483$$aBukhari, H.A.$$uUniversidad de Zaragoza
000098288 245__ $$aTransmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels
000098288 260__ $$c2019
000098288 5060_ $$aAccess copy available to the general public$$fUnrestricted
000098288 5203_ $$aEnd-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.
000098288 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS$$9info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284$$9info:eu-repo/grantAgreement/EC/H2020/764738/EU/Personalised In-Silico Cardiology/PIC$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 764738-PIC$$9info:eu-repo/grantAgreement/EC/H2020/786833/EU/GENetics and the Electrocardiogram for predicting Scd rISk/GENESIS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786833-GENESIS$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R
000098288 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000098288 592__ $$a0.296$$b2019
000098288 593__ $$aComputer Science (miscellaneous)$$c2019
000098288 593__ $$aCardiology and Cardiovascular Medicine$$c2019
000098288 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000098288 700__ $$aPalmieri, F.
000098288 700__ $$aFerreira, D.
000098288 700__ $$aPotse, M.
000098288 700__ $$aRamírez, J.
000098288 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza
000098288 700__ $$0(orcid)0000-0002-8236-825X$$aSánchez, C.$$uUniversidad de Zaragoza
000098288 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, E.$$uUniversidad de Zaragoza
000098288 7102_ $$12002$$2385$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Física Aplicada
000098288 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000098288 773__ $$g46 (2019), [4 pp]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000098288 8564_ $$s288605$$uhttps://zaguan.unizar.es/record/98288/files/texto_completo.pdf$$yVersión publicada
000098288 8564_ $$s2835315$$uhttps://zaguan.unizar.es/record/98288/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000098288 909CO $$ooai:zaguan.unizar.es:98288$$particulos$$pdriver
000098288 951__ $$a2023-09-13-10:56:10
000098288 980__ $$aARTICLE