Blood Gas Parameters and Acid–Base Balance during Extracorporeal Lung Support with Oxygenators: Semi-Empirical Evaluation

Lal Babu Khadka (), Foivos Leonidas Mouzakis, Ali Kashefi, Flutura Hima, Jan Wilhelm Spillner and Khosrow Mottaghy
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Lal Babu Khadka: Institute of Physiology, University Hospital RWTH Aachen, 52074 Aachen, Germany
Foivos Leonidas Mouzakis: Institute of Physiology, University Hospital RWTH Aachen, 52074 Aachen, Germany
Ali Kashefi: Institute of Physiology, University Hospital RWTH Aachen, 52074 Aachen, Germany
Flutura Hima: Clinic for Thoracic Surgery, University Hospital RWTH Aachen, 52074 Aachen, Germany
Jan Wilhelm Spillner: Clinic for Thoracic Surgery, University Hospital RWTH Aachen, 52074 Aachen, Germany
Khosrow Mottaghy: Institute of Physiology, University Hospital RWTH Aachen, 52074 Aachen, Germany

Mathematics, 2023, vol. 11, issue 19, 1-7

Abstract: Membrane artificial lungs (oxygenators) are used in cardiopulmonary surgery as well as, in some cases, in severe lung disease to support the natural lung by means of ECMO (extracorporeal membrane oxygenation). The oxygen and carbon dioxide transfer rates of any oxygenator are usually assessed by considering several blood gas parameters, such as oxygen saturation, hemoglobin concentration, partial pressure of oxygen and carbon dioxide, bicarbonate concentration, and p H . Here, we report a set of semi-empirical equations that calculate such parameters directly from their partial pressures and assess the acid–base balance during ECMO. The implementation of this equation set permits the evaluation of any oxygenator, existing or prototypes in development, as well as the development of clinical decision-making tools for predicting the blood gas state and acid–base balance during surgical interventions and ECMO. The predicted results are then compared with experimental data obtained from in vitro gas exchange investigations with a commercial oxygenator using fresh porcine blood. The high correlation, R 2 > 0.95 , between the predicted and the experimental data suggests a possibility of using such empirical equations in the simulation of gas transfer in a cardiopulmonary system with an oxygenator for any venous inlet blood gas data and also for estimating the acid–base balance during such therapy.

Keywords: oxygenator; oxygen transfer rate (OTR); carbon dioxide transfer rate (CTR); acid–base balance; semi-empirical model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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