Literature DB >> 15833078

Mathematical models of oxygen and carbon dioxide storage and transport: the acid-base chemistry of blood.

S E Rees1, S Andreassen.   

Abstract

This article describes a mathematical model of the acid-base chemistry of blood. The model is formulated from first principles by considering the "components" of blood and the reaction equations in the plasma and erythrocyte fractions. Equations are formulated to describe the total concentration of blood components, the physicochemical properties, and the equilibrium position of reactions. The model includes 28 equations and 12 parameters. All equations can be solved from six variables included in the model. The model uses simple mathematics, without introducing intermediate concepts or linear coefficients necessary for algebraic solution. Model equations are solved simultaneously using numerical methods. Model parameters are estimated and the model verified for plasma, fully oxygenated blood, and deoxygenated blood. Published data are used to estimate model parameters and normal conditions and to verify model simulations. The model reproduces experimental results, including addition or removal of CO2, or strong acid to plasma; CO2, strong acid or haemoglobin to blood; and the effects of deoxygenating blood. The model can also be used as the basis for models of whole body CO2 transport as illustrated in the accompanying article. As such, it is possible to simulate the effects on blood of physiological changes in ventilation or metabolism.

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Year:  2005        PMID: 15833078     DOI: 10.1615/critrevbiomedeng.v33.i3.10

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  16 in total

1.  Reproduction of inert gas and oxygenation data: a comparison of the MIGET and a simple model of pulmonary gas exchange.

Authors:  Stephen E Rees; S Kjaergaard; S Andreassen; G Hedenstierna
Journal:  Intensive Care Med       Date:  2010-08-06       Impact factor: 17.440

2.  Strong ion reserve: a viewpoint on acid base equilibria and buffering.

Authors:  Michalis Agrafiotis
Journal:  Eur J Appl Physiol       Date:  2011-01-06       Impact factor: 3.078

3.  Simple accurate mathematical models of blood HbO2 and HbCO2 dissociation curves at varied physiological conditions: evaluation and comparison with other models.

Authors:  Ranjan K Dash; Ben Korman; James B Bassingthwaighte
Journal:  Eur J Appl Physiol       Date:  2015-08-23       Impact factor: 3.078

4.  Using physiological models and decision theory for selecting appropriate ventilator settings.

Authors:  S E Rees; C Allerød; D Murley; Y Zhao; B W Smith; S Kjaergaard; P Thorgaard; S Andreassen
Journal:  J Clin Monit Comput       Date:  2006-09-15       Impact factor: 2.502

5.  A mechanistic physicochemical model of carbon dioxide transport in blood.

Authors:  David P O'Neill; Peter A Robbins
Journal:  J Appl Physiol (1985)       Date:  2016-11-23

6.  Retrospective evaluation of a decision support system for controlled mechanical ventilation.

Authors:  Dan S Karbing; Charlotte Allerød; Lars P Thomsen; Kurt Espersen; Per Thorgaard; Steen Andreassen; Søren Kjærgaard; Stephen E Rees
Journal:  Med Biol Eng Comput       Date:  2011-11-22       Impact factor: 2.602

Review 7.  Acid-base chemistry of plasma: consolidation of the traditional and modern approaches from a mathematical and clinical perspective.

Authors:  S Matousek; J Handy; S E Rees
Journal:  J Clin Monit Comput       Date:  2010-08-24       Impact factor: 2.502

8.  A comprehensive, computer-model-based approach for diagnosis and treatment of complex acid-base disorders in critically-ill patients.

Authors:  Matthew B Wolf; Edward C Deland
Journal:  J Clin Monit Comput       Date:  2011-11-12       Impact factor: 2.502

9.  Mathematical modelling of the acid-base chemistry and oxygenation of blood: a mass balance, mass action approach including plasma and red blood cells.

Authors:  Stephen Edward Rees; Elise Klaestrup; Jonathan Handy; Steen Andreassen; Søren Risom Kristensen
Journal:  Eur J Appl Physiol       Date:  2009-10-16       Impact factor: 3.078

10.  Modeling acid-base balance during continuous kidney replacement therapy.

Authors:  John K Leypoldt; Mauro Pietribiasi; Jorge Echeverri; Kai Harenski
Journal:  J Clin Monit Comput       Date:  2021-01-03       Impact factor: 2.502

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