Analysis of a cardiovascular model for the study of the autonomic response of Brugada syndrome patients

Calvo, Mireia; Rolle, Virginie Le; Romero, Daniel; Béhar, Nathalie; Gomis, Pedro; Mabo, Philippe; Hernández, Alfredo

doi:10.1109/embc.2016.7591994

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…Calvo et al integrated existing mathematic models of cardiac electrophysiology to better fit the effect of neuroautonomic stimulation on the real cardiac data generated by the observation of BrS patients [244].…”

Section: Brs Due To Drug Cardiotoxicitymentioning

confidence: 99%

Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Iop

Iliceto

Civieri

et al. 2021

Cells

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Rhythm disturbances are life-threatening cardiovascular diseases, accounting for many deaths annually worldwide. Abnormal electrical activity might arise in a structurally normal heart in response to specific triggers or as a consequence of cardiac tissue alterations, in both cases with catastrophic consequences on heart global functioning. Preclinical modeling by recapitulating human pathophysiology of rhythm disturbances is fundamental to increase the comprehension of these diseases and propose effective strategies for their prevention, diagnosis, and clinical management. In silico, in vivo, and in vitro models found variable application to dissect many congenital and acquired rhythm disturbances. In the copious list of rhythm disturbances, diseases of the conduction system, as sick sinus syndrome, Brugada syndrome, and atrial fibrillation, have found extensive preclinical modeling. In addition, the electrical remodeling as a result of other cardiovascular diseases has also been investigated in models of hypertrophic cardiomyopathy, cardiac fibrosis, as well as arrhythmias induced by other non-cardiac pathologies, stress, and drug cardiotoxicity. This review aims to offer a critical overview on the effective ability of in silico bioinformatic tools, in vivo animal studies, in vitro models to provide insights on human heart rhythm pathophysiology in case of sick sinus syndrome, Brugada syndrome, and atrial fibrillation and advance their safe and successful translation into the cardiology arena.

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Section: Brs Due To Drug Cardiotoxicitymentioning

confidence: 99%

Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Iop

Iliceto

Civieri

et al. 2021

Cells

View full text Add to dashboard Cite

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“…Based on our previous works in cardiovascular modeling [29,30,31,24], the proposed model was composed of two coupled submodels representing the cardiovascular system (CVS) and the baroreceptors reflex system (BRS), connected through the HR resulting from the BRS submodel and the systemic arterial pressure coming from the CVS.…”

Section: Computational Modelmentioning

confidence: 99%

“…Nevertheless, since computational models can directly represent interactions between the cardiovascular system (CVS) and the ANS, model-based reasoning could provide useful knowledge to support autonomic response interpretation in BS. Indeed, in a previous work, we already reported the feasibility of the application of such computational models to reproduce cardiovascular data acquired during head-up tilt testing on a healthy subject and on a BS patient [24]. However, the identification method applied to the system-level models used in this work could only explain the mechanical, circulatory and autonomic sympathetic functions of the cardiovascular system.…”

Section: Introductionmentioning

confidence: 98%

Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome

Calvo

Rolle

Romero

et al. 2019

Artificial Intelligence in Medicine

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This paper proposes the integration and analysis of a closed-loop model of the baroreflex and cardiovascular systems, focused on a time-varying estimation of the autonomic modulation of heart rate in Brugada syndrome (BS), during exercise and subsequent recovery. Patient-specific models of 44 BS patients at different levels of risk (symptomatic and asymptomatic) were identified through a recursive evolutionary algorithm. After parameter identification, a close match between experimental and simulated signals (mean error = 0.81%) was observed. The model-based estimation of vagal and sympathetic contributions were consistent with physiological knowledge, enabling to observe the expected autonomic changes induced by exercise testing. In particular, symptomatic patients presented a significantly higher parasympathetic activity during exercise, and an autonomic imbalance was observed in these patients at peak effort and during post-exercise recovery. A higher vagal modulation during exercise, as well as an increased parasympathetic activity at peak effort and a decreased vagal contribution during post-exercise recovery could be related with symptoms and, thus, with a worse prognosis in BS. This work proposes the first evaluation of the sympathetic and parasympathetic responses to exercise testing in patients suffering from BS, through the recursive identification of computational models; highlighting important trends of clinical relevance that provide new insights into the underlying autonomic mechanisms regulating the cardiovascular system in BS.

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“…with respect to the model parameters and may have multiple local optima, a covariance matrix adaptation evolution strategy approach was used for parameter estimation (8,34). In addition, based on the results obtained in Fuhrman et al (26), we added the following restrictions to the parameter identification process: 1) the difference in mean arterial pressure between conditions should not exceed 4 mmHg, 2) the difference in pulmonary arterial pressure between conditions should not exceed 4 mmHg, and 3) the mean cardiac output before and after CPAP should be Ͻ50 mL/min.…”

Section: Mathematical Modeling Approachmentioning

confidence: 99%

Influence of nasal CPAP on cardiorespiratory control in healthy neonate

Al-Omar

Rolle

Pladys

et al. 2019

Journal of Applied Physiology

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The present study aimed to further unravel the effects of nasal continuous positive airway pressure (nCPAP) on the cardiovascular and respiratory systems in the neonatal period. Six-hour polysomnographic recordings were first performed in seven healthy newborn lambs, aged 2–3 days, without and with nCPAP application at 6 cmH2O (nCPAP-6), in randomized order. The effects of nCPAP-6 on heart rate variability, respiratory rate variability, and cardiorespiratory interrelations were analyzed using a semiautomatic signal processing approach applied to ECG and respiration recordings. Thereafter, a cardiorespiratory mathematical model was adapted to the experimental conditions to gain further physiological interpretation and to simulate higher nCPAP levels (8 and 10 cmH2O). Results from the signal processing approach suggest that nCPAP-6 applied in newborns with healthy lungs: 1) increases heart rate and decreases the time and frequency domain indices of heart rate variability, especially those representing parasympathetic activity, while increasing the complexity of the RR-interval time series; 2) prolongs the respiratory cycle and expiration duration and decreases respiratory rate variability; and 3) slightly impairs cardiorespiratory interrelations. Model-based analysis revealed that nCPAP-6 increases the heart rate and decreases respiratory sinus arrhythmia amplitude, in association with a reduced parasympathetic efferent activity. These results were accentuated when simulating an increased CPAP level. Overall, our results provide a further understanding of the effects of nCPAP in neonates, in the absence of lung disease. NEW & NOTEWORTHY Application of nasal continuous positive airway pressure (CPAP) at 6 cmH2O, a level very frequently used in newborns, alters heart and respiratory rate variability, as well as cardiorespiratory interrelations in a full-term newborn model without lung disease. Moreover, whereas nasal CPAP at 6 cmH2O decreases parasympathetic efferent activity, there is no change in sympathetic efferent activity.

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Analysis of a cardiovascular model for the study of the autonomic response of Brugada syndrome patients

Cited by 5 publications

References 20 publications

Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome

Influence of nasal CPAP on cardiorespiratory control in healthy neonate

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