Literature DB >> 16763097

Reproduction of MIGET retention and excretion data using a simple mathematical model of gas exchange in lung damage caused by oleic acid infusion.

S E Rees1, S Kjaergaard, S Andreassen, G Hedenstierna.   

Abstract

The multiple inert-gas elimination technique (MIGET) is a complex mathematical model and experimental technique for understanding pulmonary gas exchange. Simpler mathematical models have been proposed that have a limited view compared with MIGET but may be applicable for use in clinical practice. This study examined the use of a simple model of gas exchange to describe MIGET retention and excretion data in seven pigs before and following lung damage caused by oleic acid infusion and subsequently at different levels of positive end-expiratory pressure. The simple model was found to give, on average, a good description of MIGET data, as evaluated by a chi(2) test on the weighted residual sum of squares resulting from the model fit (P > 0.2). Values of the simple model's parameters (dead-space volume, shunt, and the fraction of alveolar ventilation going to compartment 2) compared well with the similar MIGET parameters (dead-space volume, shunt, log of the standard deviation of the perfusion, log of the standard deveation of the ventilation), giving values of bias and standard deviation on the differences between dead-space volume and shunt of 0.002 +/- 0.002 liter and 7.3 +/- 2.1% (% of shunt value), respectively. Values of the fraction of alveolar ventilation going to compartment 2 correlated well with log of the standard deviation of the perfusion (r(2) = 0.86) and log of the standard deviation of the ventilation (r(2) = 0.92). These results indicate that this simple model provides a good description of lung pathology following oleic acid infusion. It remains to be seen whether physiologically valid values of the simple model parameters can be obtained from clinical experiments varying inspired oxygen fraction. If so, this may indicate a role for simple models in the clinical interpretation of gas exchange.

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Year:  2006        PMID: 16763097     DOI: 10.1152/japplphysiol.01481.2005

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  9 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.  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

3.  Evaluation of a computer program for non-invasive determination of pulmonary shunt and ventilation-perfusion mismatch.

Authors:  Geoffrey G Lockwood; Nick L S Fung; J Gareth Jones
Journal:  J Clin Monit Comput       Date:  2014-01-09       Impact factor: 2.502

4.  Clinical refinement of the automatic lung parameter estimator (ALPE).

Authors:  Lars P Thomsen; Dan S Karbing; Bram W Smith; David Murley; Ulla M Weinreich; Søren Kjærgaard; Egon Toft; Per Thorgaard; Steen Andreassen; Stephen E Rees
Journal:  J Clin Monit Comput       Date:  2013-02-21       Impact factor: 2.502

5.  Near-real-time pulmonary shunt and dead space measurement with micropore membrane inlet mass spectrometry in pigs with induced pulmonary embolism or acute lung failure.

Authors:  D Gerber; R Vasireddy; B Varadarajan; V Hartwich; M Y Schär; B Eberle; A Vogt
Journal:  J Clin Monit Comput       Date:  2019-01-02       Impact factor: 2.502

6.  Pulmonary gas exchange evaluated by machine learning: a computer simulation.

Authors:  Thomas J Morgan; Adrian N Langley; Robin D C Barrett; Christopher M Anstey
Journal:  J Clin Monit Comput       Date:  2022-06-13       Impact factor: 1.977

7.  Decision support system to evaluate ventilation in the acute respiratory distress syndrome (DeVENT study)-trial protocol.

Authors:  Brijesh Patel; Sharon Mumby; Nicholas Johnson; Emanuela Falaschetti; Jorgen Hansen; Ian Adcock; Danny McAuley; Masao Takata; Dan S Karbing; Matthieu Jabaudon; Peter Schellengowski; Stephen E Rees
Journal:  Trials       Date:  2022-01-17       Impact factor: 2.279

8.  Intensive Care Weaning (iCareWean) protocol on weaning from mechanical ventilation: a single-blinded multicentre randomised control trial comparing an open-loop decision support system and routine care, in the general intensive care unit.

Authors:  M P Vizcaychipi; Laura Martins; James R White; Dan Stleper Karbing; Amandeep Gupta; Suveer Singh; Leyla Osman; Jeronimo Moreno-Cuesta; Steve Rees
Journal:  BMJ Open       Date:  2020-09-02       Impact factor: 2.692

9.  Changes in shunt, ventilation/perfusion mismatch, and lung aeration with PEEP in patients with ARDS: a prospective single-arm interventional study.

Authors:  Dan Stieper Karbing; Mauro Panigada; Nicola Bottino; Elena Spinelli; Alessandro Protti; Stephen Edward Rees; Luciano Gattinoni
Journal:  Crit Care       Date:  2020-03-23       Impact factor: 9.097

  9 in total

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