000098287 001__ 98287
000098287 005__ 20230914083307.0
000098287 0247_ $$2doi$$a10.23919/CinC49843.2019.9005904
000098287 0248_ $$2sideral$$a122005
000098287 037__ $$aART-2019-122005
000098287 041__ $$aeng
000098287 100__ $$aPalmieri, F.
000098287 245__ $$aT-Wave Morphology Changes as Surrogate for Blood Potassium Concentration in Hemodialysis Patients
000098287 260__ $$c2019
000098287 5060_ $$aAccess copy available to the general public$$fUnrestricted
000098287 5203_ $$aEnd-stage renal disease (ESRD) patients undergoing hemodialysis (HD) are at high risk of arrhythmias and sudden cardiac death as a result of blood potassium concentration ([K+ ]) changes. The aim of this study is to investigate if dw, a time-warping-based electrocardiogram (ECG) biomarker of T-wave morphology changes, reflects [K+] evolution in HD patients, facilitating noninvasive [K+] monitoring and avoiding in-hospital blood tests analysis. 48-hour ECGs and a set of hourly-collected blood samples from 12 ESRD patients were acquired and analyzed. dw was calculated between a reference T-wave, measured at the end of the HD session, and the T-waves corresponding to each hour along the whole HD session, when [K+] was measured from blood samples. The values of dw correlated with the relative variations in [K+] with respect to the reference value (end of HD, ¿[K+ ]), with a median (interquartile) correlation coefficient of 0.90 (0.30), evidencing a strong relation between them. Our findings support the use of dw as a surrogate of ¿[K+], suggesting a potential use of dw for non-invasive hyperkalemia monitoring both in hospital and ambulatory settings.
000098287 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2016-75458-R$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 786833-GENESIS$$9info:eu-repo/grantAgreement/EC/H2020/786833/EU/GENetics and the Electrocardiogram for predicting Scd rISk/GENESIS$$9info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
000098287 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000098287 592__ $$a0.296$$b2019
000098287 593__ $$aComputer Science (miscellaneous)$$c2019
000098287 593__ $$aCardiology and Cardiovascular Medicine$$c2019
000098287 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000098287 700__ $$aRamírez, J.
000098287 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza
000098287 700__ $$aGomis, P.
000098287 700__ $$aFerreira, D.
000098287 700__ $$0(orcid)0000-0002-4351-8518$$aRuiz, J.E.$$uUniversidad de Zaragoza
000098287 700__ $$aBergasa, B.
000098287 700__ $$aMartín-Yebra, A.
000098287 700__ $$0(orcid)0000-0001-5976-0483$$aBukhari, H.A.$$uUniversidad de Zaragoza
000098287 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, E.$$uUniversidad de Zaragoza
000098287 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, J.P.$$uUniversidad de Zaragoza
000098287 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000098287 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000098287 773__ $$g46 (2019), [4 pp]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000098287 8564_ $$s239360$$uhttps://zaguan.unizar.es/record/98287/files/texto_completo.pdf$$yVersión publicada
000098287 8564_ $$s2625704$$uhttps://zaguan.unizar.es/record/98287/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000098287 909CO $$ooai:zaguan.unizar.es:98287$$particulos$$pdriver
000098287 951__ $$a2023-09-13-10:56:10
000098287 980__ $$aARTICLE