Differences in ventricular wall composition may explain inter-patient variability in the ECG response to variations in serum potassium and calcium

Bukhari, Hassaan A. ; Sánchez, Carlos (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza) ; Potse, Mark ; Pueyo, Esther (Universidad de Zaragoza)

Resumen: Objective: 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: 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.

Idioma: Inglés

DOI: 10.3389/fphys.2023.1060919

Año: 2023

Publicado en: Frontiers in physiology 14 (2023), 1060919 [14 pp.]
ISSN: 1664-042X

Factor impacto JCR: 3.2 (2023)

Categ. JCR: PHYSIOLOGY rank: 24 / 85 = 0.282 (2023) - Q2 - T1

Factor impacto CITESCORE: 6.5 - Physiology (medical) (Q2) - Physiology (Q2)

Factor impacto SCIMAGO: 1.006 - Physiology (medical) (Q2) - Physiology (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP141-21
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP94_21
Financiación: info:eu-repo/grantAgreement/ES/DGA/T39-23R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-140556OB-I00
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)