Literature DB >> 16024300

Validation of a two-compartment model of ventilation/perfusion distribution.

Jack A Loeppky1, Arvind Caprihan, Stephen A Altobelli, Milton V Icenogle, Pietro Scotto, Marcos F Vidal Melo.   

Abstract

Ventilation (V (A)) to perfusion (Q ) heterogeneity (V (A)/Q ) analyses by a two-compartment lung model (2C), utilizing routine gas exchange measurements and a computer solution to account for O(2) and CO(2) measurements, were compared with multiple inert gas elimination technique (MIGET) analyses and a multi-compartment (MC) model. The 2C and MC estimates of V (A)/Q mismatch were obtained in 10 healthy subjects, 43 patients having chronic obstructive pulmonary disease (COPD) and in 14 dog experiments where hemodynamics and acid-base status were manipulated with gas mixtures, fluid loading and tilt-table stressors. MIGET comparisons with 2C were made on 6 patients and 32 measurements in healthy subjects before and after exercise at normoxia and altitude hypoxia. Statistically significant correlations for logarithmic standard deviations of V (A)/Q distributions (SD(V (A)/Q )) were obtained for all 2C comparisons, with similar values between 2C and both other methods in the 1.1-1.5 range, compatible with mild to moderate COPD. 2C tended to overestimate MC and MIGET values at low and underestimate them at high SD(V (A)/Q ) values. SD(V (A)/Q ) weighted by Q agreed better with MC and MIGET estimates in the normal range, whereas SD(V (A)/Q ) weighted by V (A) was closer to MC at higher values because the V (A)-weighted SD(V (A)/Q ) is related to blood-to-gas PCO(2) differences that are elevated in disease, thereby allowing better discrimination. The 2C model accurately described functional V (A)/Q characteristics in 26 normal and bronchoconstricted dogs during non-steady state rebreathing and could be used to quantify the effect of reduced O(2) diffusing capacity in diseased lungs. These comparisons indicate that 2C adequately describes V (A)/Q mismatch and can be useful in clinical or experimental situations where other techniques are not feasible.

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Year:  2005        PMID: 16024300     DOI: 10.1016/j.resp.2005.06.002

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  5 in total

1.  The effects of oxygen induced pulmonary vasoconstriction on bedside measurement of pulmonary gas exchange.

Authors:  Ulla M Weinreich; Lars P Thomsen; Stephen E Rees; Bodil S Rasmussen
Journal:  J Clin Monit Comput       Date:  2015-05-12       Impact factor: 2.502

2.  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

3.  CO2 rebreathing model in COPD: blood-to-gas equilibration.

Authors:  Jack A Loeppky; Milton V Icenogle; Arvind Caprihan; Marcos F Vidal Melo; Stephen A Altobelli
Journal:  Eur J Appl Physiol       Date:  2006-09-08       Impact factor: 3.346

4.  Can computer simulators accurately represent the pathophysiology of individual COPD patients?

Authors:  Wenfei Wang; Anup Das; Tayyba Ali; Oanna Cole; Marc Chikhani; Mainul Haque; Jonathan G Hardman; Declan G Bates
Journal:  Intensive Care Med Exp       Date:  2014-09-20

5.  On the practical identifiability of a two-parameter model of pulmonary gas exchange.

Authors:  Axel Riedlinger; Jörn Kretschmer; Knut Möller
Journal:  Biomed Eng Online       Date:  2015-09-04       Impact factor: 2.819

  5 in total

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