Literature DB >> 9173965

Evaluation of estimates of alveolar gas exchange by using a tidally ventilated nonhomogenous lung model.

T Busso1, P A Robbins.   

Abstract

The purpose of this study was to evaluate algorithms for estimating O2 and CO2 transfer at the pulmonary capillaries by use of a nine-compartment tidally ventilated lung model that incorporated inhomogeneities in ventilation-to-volume and ventilation-to-perfusion ratios. Breath-to-breath O2 and CO2 exchange at the capillary level and at the mouth were simulated by using realistic cyclical breathing patterns to drive the model, derived from 40-min recordings in six resting subjects. The SD of the breath-by-breath gas exchange at the mouth around the value at the pulmonary capillaries was 59.7 +/- 25.5% for O2 and 22.3 +/- 10.4% for CO2. Algorithms including corrections for changes in alveolar volume and for changes in alveolar gas composition improved the estimates of pulmonary exchange, reducing the SD to 20.8 +/- 10.4% for O2 and 15.2 +/- 5.8% for CO2. The remaining imprecision of the estimates arose almost entirely from using end-tidal measurements to estimate the breath-to-breath changes in end-expiratory alveolar gas concentration. The results led us to suggest an alternative method that does not use changes in end-tidal partial pressures as explicit estimates of the changes in alveolar gas concentration. The proposed method yielded significant improvements in estimation for the model data of this study.

Entities:  

Mesh:

Year:  1997        PMID: 9173965     DOI: 10.1152/jappl.1997.82.6.1963

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


  10 in total

Review 1.  New acquisitions in the assessment of breath-by-breath alveolar gas transfer in humans.

Authors:  M Cautero; P E di Prampero; C Capelli
Journal:  Eur J Appl Physiol       Date:  2003-09-27       Impact factor: 3.078

2.  A new interpolation-free procedure for breath-by-breath analysis of oxygen uptake in exercise transients.

Authors:  Aurélien Bringard; Alessandra Adami; Christian Moia; Guido Ferretti
Journal:  Eur J Appl Physiol       Date:  2014-06-12       Impact factor: 3.078

3.  Assessment of breath-by-breath alveolar gas exchange: an alternative view of the respiratory cycle.

Authors:  V Cettolo; Maria Pia Francescato
Journal:  Eur J Appl Physiol       Date:  2015-04-19       Impact factor: 3.078

Review 4.  Algorithms, modelling and VO₂ kinetics.

Authors:  Carlo Capelli; Capelli Carlo; Michela Cautero; Cautero Michela; Silvia Pogliaghi; Pogliaghi Silvia
Journal:  Eur J Appl Physiol       Date:  2010-02-27       Impact factor: 3.078

Review 5.  Open-circuit respirometry: real-time, laboratory-based systems.

Authors:  Susan A Ward
Journal:  Eur J Appl Physiol       Date:  2018-05-04       Impact factor: 3.078

6.  Assessing breath-by-breath alveolar gas exchange: is the contiguity in time of breaths mandatory?

Authors:  Valentina Cettolo; Maria Pia Francescato
Journal:  Eur J Appl Physiol       Date:  2018-03-15       Impact factor: 3.078

7.  Calculation algorithms for breath-by-breath alveolar gas exchange: the unknowns!

Authors:  Petra Golja; Valentina Cettolo; Maria Pia Francescato
Journal:  Eur J Appl Physiol       Date:  2018-06-25       Impact factor: 3.078

8.  An integrated physiology model to study regional lung damage effects and the physiologic response.

Authors:  David A Shelley; Bryant L Sih; Laurel J Ng
Journal:  Theor Biol Med Model       Date:  2014-07-21       Impact factor: 2.432

9.  In-airway molecular flow sensing: A new technology for continuous, noninvasive monitoring of oxygen consumption in critical care.

Authors:  Luca Ciaffoni; David P O'Neill; John H Couper; Grant A D Ritchie; Gus Hancock; Peter A Robbins
Journal:  Sci Adv       Date:  2016-08-10       Impact factor: 14.136

10.  Development of in-airway laser absorption spectroscopy for respiratory based measurements of cardiac output.

Authors:  Nicholas M J Smith; John Couper; Graham Richmond; Dominic Sandhu; Gus Hancock; Peter A Robbins; Grant A D Ritchie
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

  10 in total

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