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dc.contributor.authorPalmieri, Flavio
dc.contributor.authorGomis Román, Pedro
dc.contributor.authorFerreira, Dina
dc.contributor.authorRuiz, José Esteban
dc.contributor.authorBergasa, Beatriz
dc.contributor.authorMartín-Yebra, Alba
dc.contributor.authorBukhari, H.A.
dc.contributor.authorPueyo Paules, Esther
dc.contributor.authorMártinez, Juan Pablo
dc.contributor.authorRamírez, Julia
dc.contributor.authorLaguna, Pablo
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2021-05-03T09:42:30Z
dc.date.available2021-05-03T09:42:30Z
dc.date.issued2021-02-16
dc.identifier.citationPalmieri, F. [et al.]. Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics. "Scientific reports", 16 Febrer 2021, vol. 11, núm. 1.
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/2117/344958
dc.description.abstractWe investigated the ability of time-warping-based ECG-derived markers of T-wave morphology changes in time (dw) and amplitude (da), as well as their non-linear components (dNLw and dNLa), and the heart rate corrected counterpart (dw,c), to monitor potassium concentration ([K+]) changes (¿[K+]) in end-stage renal disease (ESRD) patients undergoing hemodialysis (HD). We compared the performance of the proposed time-warping markers, together with other previously proposed [K+] markers, such as T-wave width (Tw) and T-wave slope-to-amplitude ratio (TS/A), when computed from standard ECG leads as well as from principal component analysis (PCA)-based leads. 48-hour ECG recordings and a set of hourly-collected blood samples from 29 ESRD-HD patients were acquired. Values of dw, da, dNLw, dNLa and dw,c were calculated by comparing the morphology of the mean warped T-waves (MWTWs) derived at each hour along the HD with that from a reference MWTW, measured at the end of the HD. From the same MWTWs Tw and TS/A were also extracted. Similarly, ¿[K+] was calculated as the difference between the [K+] values at each hour and the [K+] reference level at the end of the HD session. We found that dw and dw,c showed higher correlation coefficients with ¿[K+] than TS/A—Spearman’s (¿) and Pearson’s (r)—and Tw—Spearman’s (¿)—in both SL and PCA approaches being the intra-patient median ¿=0.82 and r=0.87 in SL and ¿=0.82 and r=0.89 in PCA respectively. Our findings would point at dw and dw,c as the most suitable surrogate of ¿[K+], suggesting that they could be potentially useful for non-invasive monitoring of ESRD-HD patients in hospital, as well as in ambulatory settings. Therefore, the tracking of T-wave morphology variations by means of time-warping analysis could improve continuous and remote [K+] monitoring of ESRD-HD patients and flagging risk of [K+]-related cardiovascular events
dc.language.isoeng
dc.publisherNature
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut
dc.subject.lcshElectrocardiography
dc.subject.lcshHemodialysis
dc.subject.otherElectrocardiogram
dc.subject.otherTime warping
dc.subject.otherT-wave morphology
dc.subject.otherHemodialysis
dc.subject.otherOn-invasive potassium monitoring
dc.subject.otherBloodless test.
dc.titleMonitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics
dc.typeArticle
dc.subject.lemacElectrocardiografia
dc.subject.lemacHemodiàlisi
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.identifier.doi10.1038/s41598-021-82935-5
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.nature.com/articles/s41598-021-82935-5
dc.rights.accessOpen Access
local.identifier.drac30612391
dc.description.versionPostprint (published version)
local.citation.authorPalmieri, F.; Gomis, P.; Ferreira, D.; Ruiz, J.; Bergasa, B.; Martín-Yebra, A.; Bukhari, H.; Pueyo Paules, Esther; Mártinez, J.; Ramírez, J.; Laguna, P.
local.citation.publicationNameScientific reports
local.citation.volume11
local.citation.number1


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