Dataset Information

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

ABSTRACT:

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_aO₂ following changes in F_IO₂-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_aO₂/F_IO₂ 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_IO₂ 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 .

SUBMITTER: Chang EM

PROVIDER: S-EPMC6701711 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Publications

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

Chang Emma M EM Bretherick Andrew A Drummond Gordon B GB Baillie J Kenneth JK

Intensive care medicine experimental 20190820 1

<h4>Background</h4>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 ...[more]

PMID: 31428882

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Dataset Information

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

Background

Results

Conclusions

Publications

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

Similar Datasets

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