000112395 001__ 112395
000112395 005__ 20240319080955.0
000112395 0247_ $$2doi$$a10.3390/s22082951
000112395 0248_ $$2sideral$$a128290
000112395 037__ $$aART-2022-128290
000112395 041__ $$aeng
000112395 100__ $$0(orcid)0000-0001-5976-0483$$aBukhari, Syed Hassaan Ahmed$$uUniversidad de Zaragoza
000112395 245__ $$aMonitoring of serum potassium and calcium levels in end-stage renal disease patients by ecg depolarization morphology analysis
000112395 260__ $$c2022
000112395 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112395 5203_ $$aObjective: Non-invasive estimation of serum potassium, [K+], and calcium, [Ca2+], can help to prevent life-threatening ventricular arrhythmias in patients with advanced renal disease, but current methods for estimation of electrolyte levels have limitations. We aimed to develop new markers based on the morphology of the QRS complex of the electrocardiogram (ECG). Methods: ECG recordings from 29 patients undergoing hemodialysis (HD) were processed. Mean warped QRS complexes were computed in two-minute windows at the start of an HD session, at the end of each HD hour and 48 h after it. We quantified QRS width, amplitude and the proposed QRS morphology-based markers that were computed by warping techniques. Reference [K+] and [Ca2+] were determined from blood samples acquired at the time points where the markers were estimated. Linear regression models were used to estimate electrolyte levels from the QRS markers individually and in combination with T wave morphology markers. Leave-one-out cross-validation was used to assess the performance of the estimators. Results: All markers, except for QRS width, strongly correlated with [K+] (median Pearson correlation coefficients, r, ranging from 0.81 to 0.87) and with [Ca2+] (r ranging from 0.61 to 0.76). QRS morphology markers showed very low sensitivity to heart rate (HR). Actual and estimated serum electrolyte levels differed, on average, by less than 0.035 mM (relative error of 0.018) for [K+] and 0.010 mM (relative error of 0.004) for [Ca2+] when patient-specific multivariable estimators combining QRS and T wave markers were used. Conclusion: QRS morphological markers allow non-invasive estimation of [K+] and [Ca2+] with low sensitivity to HR. The estimation performance is improved when multivariable models, including T wave markers, are considered. Significance: Markers based on the QRS complex of the ECG could contribute to non-invasive monitoring of serum electrolyte levels and arrhythmia risk prediction in patients with renal disease
000112395 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group$$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$$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/PID2019-104881RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/PID2019-105674RB-I00
000112395 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112395 590__ $$a3.9$$b2022
000112395 592__ $$a0.764$$b2022
000112395 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 86 = 0.302$$c2022$$dQ2$$eT1
000112395 593__ $$aInstrumentation$$c2022$$dQ1
000112395 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 63 = 0.302$$c2022$$dQ2$$eT1
000112395 593__ $$aAnalytical Chemistry$$c2022$$dQ1
000112395 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b100 / 274 = 0.365$$c2022$$dQ2$$eT2
000112395 593__ $$aMedicine (miscellaneous)$$c2022$$dQ2
000112395 593__ $$aInformation Systems$$c2022$$dQ2
000112395 593__ $$aBiochemistry$$c2022$$dQ2
000112395 593__ $$aAtomic and Molecular Physics, and Optics$$c2022$$dQ2
000112395 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ2
000112395 594__ $$a6.8$$b2022
000112395 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112395 700__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos$$uUniversidad de Zaragoza
000112395 700__ $$0(orcid)0000-0002-4351-8518$$aRuiz, José Esteban$$uUniversidad de Zaragoza
000112395 700__ $$aPotse, Mark
000112395 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000112395 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000112395 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000112395 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000112395 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000112395 773__ $$g22 , 8 (2022), 2951 [19 pp]$$pSensors$$tSensors$$x1424-8220
000112395 8564_ $$s2523362$$uhttps://zaguan.unizar.es/record/112395/files/texto_completo.pdf$$yVersión publicada
000112395 8564_ $$s2712911$$uhttps://zaguan.unizar.es/record/112395/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112395 909CO $$ooai:zaguan.unizar.es:112395$$particulos$$pdriver
000112395 951__ $$a2024-03-18-13:32:58
000112395 980__ $$aARTICLE