Inter-individual differences in cell composition across the ventricular wall may explain variability in ECG response to serum potassium and calcium variations
BUKHARI, Hassaan
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
SÁNCHEZ, Carlos
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
LAGUNA, Pablo
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
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Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
BUKHARI, Hassaan
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
SÁNCHEZ, Carlos
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
LAGUNA, Pablo
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine [CIBER-BBN]
POTSE, Mark
IHU-LIRYC
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
IHU-LIRYC
Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
Institut de Mathématiques de Bordeaux [IMB]
PUEYO, Esther
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina [CIBER-BBN]
< Réduire
Aragón Institute of Engineering Research [Zaragoza] [I3A]
Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina [CIBER-BBN]
Langue
en
Communication dans un congrès
Ce document a été publié dans
Computing in Cardiology 2022, 2022-09-05, Tampere.
Résumé en anglais
Non-invasive monitoring of serum potassium ([K + ]) and calcium ([Ca 2+ ]) concentration can help to prevent arrhythmia in kidney patients. Current electrocardiogram (ECG) markers, including the T wave width (T w) and its ...Lire la suite >
Non-invasive monitoring of serum potassium ([K + ]) and calcium ([Ca 2+ ]) concentration can help to prevent arrhythmia in kidney patients. Current electrocardiogram (ECG) markers, including the T wave width (T w) and its time-warped temporal morphological variability (d U w), correlate significantly with [K + ] and [Ca 2+ ] but these relations vary strongly between patients. We hypothesized that inter-individual differences in cell type distribution across the ventricular wall can explain this variability. We computed T w and d U w in simulated ECGs from a human heart-torso model at different proportions of endo-, mid-, and epicardial cells, while varying [K + ] (3 to 6.2 mM) and [Ca 2+ ] (1.4 to 3.2 mM). Electrical activity was simulated with a reaction-diffusion model with modified Ten Tusscher-Panfilov dynamics. Results were compared to data from 29 patients. T w and d U w correlated strongly with [K + ] (absolute median Pearson coefficient r = 0.70 to 0.93) and [Ca 2+ ] (r = 0.69 to 0.86) in simulations and in patients. Different cell type distributions reproduced inter-patient variability, with the same sign and magnitude of r. In conclusion, the inter-patient variability in the relation between serum electrolytes and their ECG markers can indeed be explained by inter-individual differences in cell type distribution across the ventricular wall.< Réduire
Projet Européen
Personalised In-Silico Cardiology
Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface
Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface
Project ANR
L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
Origine
Importé de halUnités de recherche