Modelling patient specific cardiopulmonary interactions.

Cardio-pulmonary; Cardiovascular; Positive end-expiratory pressure; Stressed blood volume; Thoracic pressure; Humans; Reproducibility of Results; Heart; Stroke Volume; Positive-Pressure Respiration/methods; Respiration, Artificial; Blood volumes; Cardiopulmonary interactions; Mechanical ventilation; New parameters; Patient specific; Positive end expiratory pressures; Positive-Pressure Respiration; Computer Science Applications; Health Informatics

Abstract :

[en] Mechanical ventilation is well known for having detrimental effects on the cardiovascular system, particularly when using high positive end-expiratory pressure. High positive end-expiratory pressure levels cause a decrease in stroke volume, which, under normal conditions, usually bring about a decrease in stressed blood volume. Stressed blood volume, defined as the total pressure generating volume of the cardiovascular system, has been shown to be a potential index of fluid responsiveness, making it a potentially important diagnostic tool. Generally, respiratory and haemodynamic care are provided independently of one another. However, that positive end-expiratory pressure alters both stroke volume and stressed blood volume suggests both the pulmonary and cardiovascular state should be conjointly optimised and used to guide positive end-expiratory pressure. However, the complex and patient-specific nature of cardiopulmonary interactions which occur during mechanical ventilation presents a challenge for accurate modelling of respiratory and cardiovascular interactions required to better optimise care. Previous models attempting to incorporate cardiopulmonary interactions have suffered from poor reliability at higher PEEP levels, largely due to an exaggerated effect of intrathoracic pressure on the cardiovascular system. A new parameter, alpha, is added to a previously validated cardiopulmonary model, to modulate the percentage of intrathoracic pressure applied to the vena cava and left ventricle. The new parameter aims to increase reliability under high PEEP conditions as well as provide a patient specific solution to modelling cardiopulmonary interactions. The results from the identified optimal alpha are compared to the original model to investigate how this new parameter may be used to create a more patient-specific cardiopulmonary model, which would be better suited for guidance of care in the ICU.

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Cushway, James ; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M)

Murphy, Liam ; University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand

Chase, J Geoffrey ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles ; University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand

Shaw, Geoffrey M; Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Language :

English

Title :

Modelling patient specific cardiopulmonary interactions.

Publication date :

December 2022

Journal title :

Computers in Biology and Medicine

ISSN :

0010-4825

eISSN :

1879-0534

Publisher :

Elsevier, United States

Volume :

151

Issue :

Pt A

Pages :

106235

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S001048252200943X?httpAccept=text/xml

Available on ORBi :

since 12 September 2025

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