000097350 001__ 97350
000097350 005__ 20230519145447.0
000097350 0247_ $$2doi$$a10.1109/TBME.2020.3043844
000097350 0248_ $$2sideral$$a121417
000097350 037__ $$aART-2021-121417
000097350 041__ $$aeng
000097350 100__ $$0(orcid)0000-0001-5976-0483$$aBukhari, Syed Hassaan Ahmed$$uUniversidad de Zaragoza
000097350 245__ $$aCharacterization of t wave amplitude, duration and morphology changes during hemodialysis: Relationship with serum electrolyte levels and heart rate
000097350 260__ $$c2021
000097350 5060_ $$aAccess copy available to the general public$$fUnrestricted
000097350 5203_ $$aObjective: Chronic kidney disease affects more than 10% of the world population. Changes in serum ion concentrations increase the risk for ventricular arrhythmias and sudden cardiac death, particularly in end stage renal disease (ESRD) patients. We characterized how T wave amplitude, duration and morphology descriptors change with variations in serum levels of potassium and calcium and in heart rate, both in ESRD patients and in simulated ventricular fibers. Methods: Electrocardiogram (ECG) recordings from twenty ESRD patients undergoing hemodialysis (HD) and pseudo-ECGs (pECGs) calculated from twenty-two simulated ventricular fibers at varying transmural heterogeneity levels were processed to quantify T wave width (Tw), T wave slope-to-amplitude ratio (TS/A) and four indices of T wave morphological variability based on time warping (dw, dNLw, da and dNLa). Serum potassium and calcium levels and heart rate were measured along HD. Results: dNL with serum potassium, dw with calcium and da with heart rate, after correction for covariates. Median values of partial correlation coefficients were 0.75,−0.74 and −0.90, respectively. For all analyzed T wave descriptors, high inter-patient variability was observed in the pattern of such relationships. This variability, accentuated during the first HD time points, was reproduced in the simulations and shown to be influenced by differences in transmural heterogeneity. Conclusion: Changes in serum potassium and calcium levels and in heart rate strongly affect T wave descriptors, particularly those quantifying morphological variability. Significance: ECG markers have the potential to be used for monitoring serum ion concentrations in ESRD patients.
000097350 536__ $$9info:eu-repo/grantAgreement/ES/MICIU/PID2019-105674RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786833-GENESIS$$9info:eu-repo/grantAgreement/EC/H2020/786833/EU/GENetics and the Electrocardiogram for predicting Scd rISk/GENESIS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 764738-PIC$$9info:eu-repo/grantAgreement/EC/H2020/764738/EU/Personalised In-Silico Cardiology/PIC$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE$$9info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group$$9info:eu-repo/grantAgreement/ES/DGA-FSE/LMP124-18
000097350 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000097350 590__ $$a4.756$$b2021
000097350 591__ $$aENGINEERING, BIOMEDICAL$$b37 / 98 = 0.378$$c2021$$dQ2$$eT2
000097350 594__ $$a9.4$$b2021
000097350 592__ $$a1.298$$b2021
000097350 593__ $$aBiomedical Engineering$$c2021$$dQ1
000097350 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000097350 700__ $$aPalmieri, Flavio
000097350 700__ $$0(orcid)0000-0003-4130-5866$$aRamírez, Julia
000097350 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000097350 700__ $$0(orcid)0000-0002-4351-8518$$aRuiz, José Esteban$$uUniversidad de Zaragoza
000097350 700__ $$aFerreira, Dina
000097350 700__ $$aPotse, Mark
000097350 700__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos$$uUniversidad de Zaragoza
000097350 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000097350 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000097350 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000097350 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000097350 773__ $$g68, 8 (2021), 2467-2478$$pIEEE trans. biomed. eng.$$tIEEE Transactions on Biomedical Engineering$$x0018-9294
000097350 8564_ $$s2459921$$uhttps://zaguan.unizar.es/record/97350/files/texto_completo.pdf$$yPostprint
000097350 8564_ $$s25981$$uhttps://zaguan.unizar.es/record/97350/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000097350 909CO $$ooai:zaguan.unizar.es:97350$$particulos$$pdriver
000097350 951__ $$a2023-05-18-14:39:50
000097350 980__ $$aARTICLE