Mostra el registre d'ítem simple
Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics
dc.contributor.author | Palmieri, Flavio |
dc.contributor.author | Gomis Román, Pedro |
dc.contributor.author | Ferreira, Dina |
dc.contributor.author | Ruiz, José Esteban |
dc.contributor.author | Bergasa, Beatriz |
dc.contributor.author | Martín-Yebra, Alba |
dc.contributor.author | Bukhari, H.A. |
dc.contributor.author | Pueyo Paules, Esther |
dc.contributor.author | Mártinez, Juan Pablo |
dc.contributor.author | Ramírez, Julia |
dc.contributor.author | Laguna, Pablo |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2021-05-03T09:42:30Z |
dc.date.available | 2021-05-03T09:42:30Z |
dc.date.issued | 2021-02-16 |
dc.identifier.citation | Palmieri, 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.issn | 2045-2322 |
dc.identifier.uri | http://hdl.handle.net/2117/344958 |
dc.description.abstract | We 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.iso | eng |
dc.publisher | Nature |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject.lcsh | Electrocardiography |
dc.subject.lcsh | Hemodialysis |
dc.subject.other | Electrocardiogram |
dc.subject.other | Time warping |
dc.subject.other | T-wave morphology |
dc.subject.other | Hemodialysis |
dc.subject.other | On-invasive potassium monitoring |
dc.subject.other | Bloodless test. |
dc.title | Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics |
dc.type | Article |
dc.subject.lemac | Electrocardiografia |
dc.subject.lemac | Hemodiàlisi |
dc.contributor.group | Universitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory |
dc.identifier.doi | 10.1038/s41598-021-82935-5 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.nature.com/articles/s41598-021-82935-5 |
dc.rights.access | Open Access |
local.identifier.drac | 30612391 |
dc.description.version | Postprint (published version) |
local.citation.author | Palmieri, 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.publicationName | Scientific reports |
local.citation.volume | 11 |
local.citation.number | 1 |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Articles de revista [1.383]
-
Articles de revista [104]