Physiological trend analysis of a novel cardio-pulmonary model during a preload reduction manoeuvre

Cardio-pulmonary; Cardiovascular; Positive end-expiratory pressure; Stressed blood volume; Thoracic pressure; Cardiovascular system; Economic and social effects; Hemodynamics; Mammals; Physiological models; Ventilation; Blood volumes; Chamber model; Hemodynamic parameters; Mechanical ventilation; Parameters estimation; Positive end expiratory pressures; Parameter estimation; airway pressure; animal experiment; animal model; aortic pressure; article; artificial ventilation; blood volume; cardiovascular system; cava vein; compliance (physical); controlled study; heart left ventricle volume; hemodynamic parameters; lung model; nonhuman; pig; positive end expiratory pressure ventilation; animal; heart; heart ventricle; hemodynamics; physiology; reproducibility; Animals; Heart; Heart Ventricles; Positive-Pressure Respiration; Reproducibility of Results; Respiration, Artificial; Swine

Abstract :

[en] Background and objective: Mechanical ventilation causes adverse effects on the cardiovascular system. However, the exact nature of the effects on haemodynamic parameters is not fully understood. A recently developed cardio-vascular system model which incorporates cardio-pulmonary interactions is compared to the original 3-chamber cardiovascular model to investigate the exact effects of mechanical ventilation on haemodynamic parameters and to assess the trade-off of model complexity and model reliability between the 2 models. Methods: Both the cardio-pulmonary and three chamber models are used to identify cardiovascular system parameters from aortic pressure, left ventricular volume, airway flow and airway pressure measurements from 4 pigs during a preload reduction manoeuvre. Outputs and parameter estimations from both models are contrasted to assess the relative performance of each model and to further investigate the effects of mechanical ventilation on haemodynamic parameters. Results: Both models tracked measurements accurately as expected. There was no identifiable increase in error from the added complexity of the cardio-pulmonary model, with both models having a mean average error below 0.5% for all pigs. Identified left ventricle and vena cava elastances of the 3-chamber model was found to diverge exponentially with PEEP from identified left ventricle and vena cava elastances of the cardio-pulmonary model. The r2 of the fit for each pig ranged from 0.888 to 0.998 for left ventricle elastance divergence and from 0.905 to 0.999 for vena cava elastance divergence. All other identified parameters showed no significant difference between models. Conclusions: Despite the increase in model complexity, there was no loss in the cardio-pulmonary model's ability to accurately estimate haemodynamic parameters and reproduce system dynamics. Furthermore, the cardio-pulmonary model was able to demonstrate how mechanical ventilation affected parameter estimations as PEEP was increased. The 3-chamber model was shown to produce parameter estimations which diverged exponentially with PEEP, while the cardiopulmonary model estimations remained more stable, suggesting its ability to produce more physiologically accurate parameter estimations under higher PEEP conditions. © 2022

Disciplines :

Anesthesia & intensive care

Author, co-author :

Cushway, James ; 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

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

Chase, J.G.; University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand

Shaw, G.M.; Dept 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 :

Physiological trend analysis of a novel cardio-pulmonary model during a preload reduction manoeuvre

Publication date :

2022

Journal title :

Computer Methods and Programs in Biomedicine

ISSN :

0169-2607

eISSN :

1872-7565

Publisher :

Elsevier Ireland Ltd

Volume :

220

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 05 January 2024

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