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hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBUKHARI, Hassaan
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
dc.contributor.authorSÁNCHEZ, Carlos
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
dc.contributor.authorLAGUNA, Pablo
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
dc.contributor.authorPUEYO, Esther
dc.date.accessioned2024-04-04T02:30:59Z
dc.date.available2024-04-04T02:30:59Z
dc.date.created2023-10-11
dc.date.issued2023-10-11
dc.identifier.issn1664-042X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190279
dc.description.abstractEnObjective: Chronic kidney disease patients have a decreased ability to maintain normal electrolyte concentrations in their blood, which increases the risk for ventricular arrhythmias and sudden cardiac death. Non-invasive monitoring of serum potassium and calcium concentration, [K + ] and [Ca 2+ ], can help to prevent arrhythmias in these patients. Electrocardiogram (ECG) markers that significantly correlate with [K + ] and [Ca 2+ ] have been proposed, but these relations are highly variable between patients. We hypothesized that inter-individual differences in cell type distribution across the ventricular wall can help to explain this variability. Methods: A population of human heart-torso models were built with different proportions of endocardial, midmyocardial and epicardial cells. Propagation of ventricular electrical activity was described by a reaction-diffusion model, with modified Ten Tusscher-Panfilov dynamics. [K + ] and [Ca 2+ ] were varied individually and in combination. Twelve-lead ECGs were simulated and the width, amplitude and morphological variability of T waves and QRS complexes were quantified. Results were compared to measurements from 29 end-stage renal disease (ESRD) patients undergoing hemodialysis (HD). Results: Both simulations and patients data showed that most of the analyzed T wave and QRS complex markers correlated strongly with [K + ] (absolute median Pearson correlation coefficients, r , ranging from 0.68 to 0.98) and [Ca 2+ ] (ranging from 0.70 to 0.98). The same sign and similar magnitude of median r was observed in the simulations and the patients. Different cell type distributions in the ventricular wall led to variability in ECG markers that was accentuated at high [K + ] and low [Ca 2+ ], in agreement with the larger variability between patients measured at the onset of HD. The simulated ECG variability explained part of the measured inter-patient variability. Conclusion: Changes in ECG markers were similarly related to [K + ] and [Ca 2+ ] variations in our models and in the ESRD patients. The high inter-patient ECG variability may be explained by variations in cell type distribution across the ventricular wall, with high sensitivity to variations in the proportion of epicardial cells. Significance: Differences in ventricular wall composition help to explain inter-patient variability in ECG response to [K + ] and [Ca 2+ ]. This finding can be used to improve serum electrolyte monitoring in ESRD patients.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.language.isoen
dc.publisherFrontiers
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enECG
dc.subject.enT wave morphology
dc.subject.enQRS complex morphology
dc.subject.entransmural heterogeneity
dc.subject.enpotassium
dc.subject.encalcium
dc.subject.enhemodialysis
dc.subject.enheart-torso models
dc.title.enDifferences in ventricular wall composition may explain inter-patient variability in the ECG response to variations in serum potassium and calcium
dc.typeArticle de revue
dc.identifier.doi10.3389/fphys.2023.1060919
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
dc.description.sponsorshipEuropePersonalised In-Silico Cardiology
bordeaux.journalFrontiers in Physiology
bordeaux.page1060919
bordeaux.volume14
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04407773
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04407773v1
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