A comprehensive cardiopulmonary simulation model for the analysis of hypercapnic respiratory failure

Chbat, Nicolas W.; Giannessi, Massimo; Albanese, Anthony A.; Ursino, Mauro

doi:10.1109/iembs.2009.5334567

Cited by 8 publications

(8 citation statements)

References 8 publications

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“…Manuscript Particularly, cardiovascular control is mediated by baroreceptors, lung stretch receptors, peripheral chemorecptors, local autoregulation and a direct effect of the central nervous system (CNS ischemic response), whereas respiratory control is mediated by central and peripheral chemorecptors. Description of the model has been provided in [2]. For this reason, only a quick overview of the model is described next, with an emphasis on the new aspects of the chemoreflex mechanism and related hypercapnic simulations.…”

Section: Methodsmentioning

confidence: 99%

“…The description of the peripheral chemoreceptors has been modified compared to our previous version of the model in [2]. Based on the work in [4], peripheral chemoreflex is described as a two-stage transduction mechanism: Pa O2 and Pa CO2 variations are first transduced into electrical activity of the peripheral chemoreceptor fibers, which are then converted into variations of amplitude and frequency of the thoracic source generator.…”

Section: Respiratory Control Modelmentioning

confidence: 99%

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Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

Albanese

Chbat

Ursino

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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In recent years, our group has developed a comprehensive cardiopulmonary (CP) model that comprises the heart, systemic and pulmonary circulations, lung mechanics and gas exchange, tissue metabolism, and cardiovascular and respiratory control mechanisms. In this paper, we analyze the response of the model to hypercapnic conditions and hence focus on the chemoreflex control mechanism. Particularly, we have enhanced the peripheral chemoreceptor model in order to better reflect respiratory control physiology. Using the CO(2) fraction in the inspired air as input to the CP model, we were able to analyze the transient response of the system to CO(2) step input at different levels, in terms of alveolar gas partial pressures, tidal volume, minute ventilation and respiratory frequency. Model predictions were tested against experimental data from human subjects [1]. Results show good agreement for all the variables under study during the transient phases and low root mean square errors at steady state. This indicates the potential for the model to be used as a valid tool for clinical practice and medical research, providing a complementary way to experience-based clinical decisions.

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Section: Methodsmentioning

confidence: 99%

Section: Respiratory Control Modelmentioning

confidence: 99%

Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

Albanese

Chbat

Ursino

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…Our group has developed an integrated model to overcome some of the above limitations by including finer cardiorespiratory interactions and short-term control mechanisms. The model is the result of a multiyear effort, and only preliminary results have been presented in previous papers (2,7,27). The model is presented in two separate papers: Model development and Model validation under hypercapnia and hypoxia.…”

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confidence: 99%

An integrated mathematical model of the human cardiopulmonary system: model development

Albanese

Cheng

Ursino

et al. 2016

American Journal of Physiology-Heart and Circulatory Physiology

104

147

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Several cardiovascular and pulmonary models have been proposed in the last few decades. However, very few have addressed the interactions between these two systems. Our group has developed an integrated cardiopulmonary model (CP Model) that mathematically describes the interactions between the cardiovascular and respiratory systems, along with their main short-term control mechanisms. The model has been compared with human and animal data taken from published literature. Due to the volume of the work, the paper is divided in two parts. The present paper is on model development and normophysiology, whereas the second is on the model's validation on hypoxic and hypercapnic conditions. The CP Model incorporates cardiovascular circulation, respiratory mechanics, tissue and alveolar gas exchange, as well as short-term neural control mechanisms acting on both the cardiovascular and the respiratory functions. The model is able to simulate physiological variables typically observed in adult humans under normal and pathological conditions and to explain the underlying mechanisms and dynamics.

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“…Other breathing lung models48–52 take lung mechanics into account (as well as gas exchange). That is, they include some interaction between the pleural pressure, lung compliance, and the resistance to air flow.…”

Section: Modeling Interactions Via Gas Exchangementioning

confidence: 99%

Computational models for the study of heart–lung interactions in mammals

Ben-Tal

2011

WIREs Mechanisms of Disease

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[The operation and regulation of the lungs and the heart are closely related. This is evident when examining the anatomy within the thorax cavity, in the brainstem and in the aortic and carotid arteries where chemoreceptors and baroreceptors, which provide feedback affecting the regulation of both organs, are concentrated. This is also evident in phenomena such as respiratory sinus arrhythmia where the heart rate increases during inspiration and decreases during expiration, in other types of synchronization between the heart and the lungs known as cardioventilatory coupling and in the association between heart failure and sleep apnea where breathing is interrupted periodically by periods of no-breathing. The full implication and physiological significance of the cardio-respiratory coupling under normal, pathological or extreme physiological conditions are still unknown and are subject to ongoing investigation both experimentally and theoretically using mathematical models. This paper reviews mathematical models that take heart-lung interactions into account. The main ideas behind low dimensional, phenomenological models for the study of the heart-lung synchronization and sleep apnea are described first. Higher dimensions, physiology-based models are described next. These models can vary widely in detail and scope and are characterized by the way the heart-lung interaction is taken into account: via gas exchange, via the central nervous system, via the mechanical interactions and via time delays. The paper emphasizes the need for the integration of the different sources of heart-lung coupling as well as the different mathematical approaches.]

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A comprehensive cardiopulmonary simulation model for the analysis of hypercapnic respiratory failure

Cited by 8 publications

References 8 publications

Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

An integrated mathematical model of the human cardiopulmonary system: model development

Computational models for the study of heart–lung interactions in mammals

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