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Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients

BACKGROUND: Accurate measurement of pulmonary oxygenation is important for classification of disease severity and quantification of outcomes in clinical studies. Currently, tension-based methods such as P/F ratio are in widespread use, but are known to be less accurate than content-based methods. Ho...

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Autores principales: Chang, Emma M., Bretherick, Andrew, Drummond, Gordon B., Baillie, J Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701711/
https://www.ncbi.nlm.nih.gov/pubmed/31428882
http://dx.doi.org/10.1186/s40635-019-0262-1
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author Chang, Emma M.
Bretherick, Andrew
Drummond, Gordon B.
Baillie, J Kenneth
author_facet Chang, Emma M.
Bretherick, Andrew
Drummond, Gordon B.
Baillie, J Kenneth
author_sort Chang, Emma M.
collection PubMed
description BACKGROUND: Accurate measurement of pulmonary oxygenation is important for classification of disease severity and quantification of outcomes in clinical studies. Currently, tension-based methods such as P/F ratio are in widespread use, but are known to be less accurate than content-based methods. However, content-based methods require invasive measurements or sophisticated equipment that are rarely used in clinical practice. We devised two new methods to infer shunt fraction from a single arterial blood gas sample: (1) a non-invasive effective shunt (ES) fraction calculated using a rearrangement of the indirect Fick equation, standard constants, and a procedural inversion of the relationship between content and tension and (2) inferred values from a database of outputs from an integrated mathematical model of gas exchange (DB). We compared the predictive validity—the accuracy of predictions of P(a)O(2) following changes in F(I)O(2)—of each measure in a retrospective database of 78,159 arterial blood gas (ABG) results from critically ill patients. RESULTS: In a formal test set comprising 9,635 pairs of ABGs, the median absolute error (MAE) values for the four measures were as follows: alveolar-arterial difference, 7.30 kPa; P(a)O(2)/F(I)O(2) ratio, 2.41 kPa; DB, 2.13 kPa; and ES, 1.88 kPa. ES performed significantly better than other measures (p < 10-10 in all comparisons). Further exploration of the DB method demonstrated that obtaining two blood gas measurements at different F(I)O(2) provides a more precise description of pulmonary oxygenation. CONCLUSIONS: Effective shunt can be calculated using a computationally efficient procedure using routinely collected arterial blood gas data and has better predictive validity than other analytic methods. For practical assessment of oxygenation in clinical research, ES should be used in preference to other indices. ES can be calculated at http://baillielab.net/es. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40635-019-0262-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-67017112019-09-02 Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients Chang, Emma M. Bretherick, Andrew Drummond, Gordon B. Baillie, J Kenneth Intensive Care Med Exp Research BACKGROUND: Accurate measurement of pulmonary oxygenation is important for classification of disease severity and quantification of outcomes in clinical studies. Currently, tension-based methods such as P/F ratio are in widespread use, but are known to be less accurate than content-based methods. However, content-based methods require invasive measurements or sophisticated equipment that are rarely used in clinical practice. We devised two new methods to infer shunt fraction from a single arterial blood gas sample: (1) a non-invasive effective shunt (ES) fraction calculated using a rearrangement of the indirect Fick equation, standard constants, and a procedural inversion of the relationship between content and tension and (2) inferred values from a database of outputs from an integrated mathematical model of gas exchange (DB). We compared the predictive validity—the accuracy of predictions of P(a)O(2) following changes in F(I)O(2)—of each measure in a retrospective database of 78,159 arterial blood gas (ABG) results from critically ill patients. RESULTS: In a formal test set comprising 9,635 pairs of ABGs, the median absolute error (MAE) values for the four measures were as follows: alveolar-arterial difference, 7.30 kPa; P(a)O(2)/F(I)O(2) ratio, 2.41 kPa; DB, 2.13 kPa; and ES, 1.88 kPa. ES performed significantly better than other measures (p < 10-10 in all comparisons). Further exploration of the DB method demonstrated that obtaining two blood gas measurements at different F(I)O(2) provides a more precise description of pulmonary oxygenation. CONCLUSIONS: Effective shunt can be calculated using a computationally efficient procedure using routinely collected arterial blood gas data and has better predictive validity than other analytic methods. For practical assessment of oxygenation in clinical research, ES should be used in preference to other indices. ES can be calculated at http://baillielab.net/es. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40635-019-0262-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-08-20 /pmc/articles/PMC6701711/ /pubmed/31428882 http://dx.doi.org/10.1186/s40635-019-0262-1 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Chang, Emma M.
Bretherick, Andrew
Drummond, Gordon B.
Baillie, J Kenneth
Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title_full Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title_fullStr Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title_full_unstemmed Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title_short Predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
title_sort predictive validity of a novel non-invasive estimation of effective shunt fraction in critically ill patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701711/
https://www.ncbi.nlm.nih.gov/pubmed/31428882
http://dx.doi.org/10.1186/s40635-019-0262-1
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