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Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion

BACKGROUND: The ability of stroke volume variation (SVV), pulse pressure variation (PPV) and global end-diastolic volume (GEDV) for prediction of fluid responsiveness in presence of pleural effusion is unknown. The aim of the present study was to challenge the ability of SVV, PPV and GEDV to predict...

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Autores principales: Broch, Ole, Gruenewald, Matthias, Renner, Jochen, Meybohm, Patrick, Schöttler, Jan, Heß, Katharina, Steinfath, Markus, Bein, Berthold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571958/
https://www.ncbi.nlm.nih.gov/pubmed/23418546
http://dx.doi.org/10.1371/journal.pone.0056267
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author Broch, Ole
Gruenewald, Matthias
Renner, Jochen
Meybohm, Patrick
Schöttler, Jan
Heß, Katharina
Steinfath, Markus
Bein, Berthold
author_facet Broch, Ole
Gruenewald, Matthias
Renner, Jochen
Meybohm, Patrick
Schöttler, Jan
Heß, Katharina
Steinfath, Markus
Bein, Berthold
author_sort Broch, Ole
collection PubMed
description BACKGROUND: The ability of stroke volume variation (SVV), pulse pressure variation (PPV) and global end-diastolic volume (GEDV) for prediction of fluid responsiveness in presence of pleural effusion is unknown. The aim of the present study was to challenge the ability of SVV, PPV and GEDV to predict fluid responsiveness in a porcine model with pleural effusions. METHODS: Pigs were studied at baseline and after fluid loading with 8 ml kg(−1) 6% hydroxyethyl starch. After withdrawal of 8 ml kg(−1) blood and induction of pleural effusion up to 50 ml kg(−1) on either side, measurements at baseline and after fluid loading were repeated. Cardiac output, stroke volume, central venous pressure (CVP) and pulmonary occlusion pressure (PAOP) were obtained by pulmonary thermodilution, whereas GEDV was determined by transpulmonary thermodilution. SVV and PPV were monitored continuously by pulse contour analysis. RESULTS: Pleural effusion was associated with significant changes in lung compliance, peak airway pressure and stroke volume in both responders and non-responders. At baseline, SVV, PPV and GEDV reliably predicted fluid responsiveness (area under the curve 0.85 (p<0.001), 0.88 (p<0.001), 0.77 (p = 0.007). After induction of pleural effusion the ability of SVV, PPV and GEDV to predict fluid responsiveness was well preserved and also PAOP was predictive. Threshold values for SVV and PPV increased in presence of pleural effusion. CONCLUSIONS: In this porcine model, bilateral pleural effusion did not affect the ability of SVV, PPV and GEDV to predict fluid responsiveness.
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spelling pubmed-35719582013-02-15 Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion Broch, Ole Gruenewald, Matthias Renner, Jochen Meybohm, Patrick Schöttler, Jan Heß, Katharina Steinfath, Markus Bein, Berthold PLoS One Research Article BACKGROUND: The ability of stroke volume variation (SVV), pulse pressure variation (PPV) and global end-diastolic volume (GEDV) for prediction of fluid responsiveness in presence of pleural effusion is unknown. The aim of the present study was to challenge the ability of SVV, PPV and GEDV to predict fluid responsiveness in a porcine model with pleural effusions. METHODS: Pigs were studied at baseline and after fluid loading with 8 ml kg(−1) 6% hydroxyethyl starch. After withdrawal of 8 ml kg(−1) blood and induction of pleural effusion up to 50 ml kg(−1) on either side, measurements at baseline and after fluid loading were repeated. Cardiac output, stroke volume, central venous pressure (CVP) and pulmonary occlusion pressure (PAOP) were obtained by pulmonary thermodilution, whereas GEDV was determined by transpulmonary thermodilution. SVV and PPV were monitored continuously by pulse contour analysis. RESULTS: Pleural effusion was associated with significant changes in lung compliance, peak airway pressure and stroke volume in both responders and non-responders. At baseline, SVV, PPV and GEDV reliably predicted fluid responsiveness (area under the curve 0.85 (p<0.001), 0.88 (p<0.001), 0.77 (p = 0.007). After induction of pleural effusion the ability of SVV, PPV and GEDV to predict fluid responsiveness was well preserved and also PAOP was predictive. Threshold values for SVV and PPV increased in presence of pleural effusion. CONCLUSIONS: In this porcine model, bilateral pleural effusion did not affect the ability of SVV, PPV and GEDV to predict fluid responsiveness. Public Library of Science 2013-02-13 /pmc/articles/PMC3571958/ /pubmed/23418546 http://dx.doi.org/10.1371/journal.pone.0056267 Text en © 2013 Broch et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Broch, Ole
Gruenewald, Matthias
Renner, Jochen
Meybohm, Patrick
Schöttler, Jan
Heß, Katharina
Steinfath, Markus
Bein, Berthold
Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title_full Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title_fullStr Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title_full_unstemmed Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title_short Dynamic and Volumetric Variables Reliably Predict Fluid Responsiveness in a Porcine Model with Pleural Effusion
title_sort dynamic and volumetric variables reliably predict fluid responsiveness in a porcine model with pleural effusion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571958/
https://www.ncbi.nlm.nih.gov/pubmed/23418546
http://dx.doi.org/10.1371/journal.pone.0056267
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