Cargando…

Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model

INTRODUCTION: Simple methods to predict the effect of lung recruitment maneuvers (LRMs) in acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are lacking. It has previously been found that a static pressure–volume (PV) loop could indicate the increase in lung volume induced by po...

Descripción completa

Detalles Bibliográficos
Autores principales: Koefoed-Nielsen, Jacob, Nielsen, Niels Dahlsgaard, Kjærgaard, Anders J, Larsson, Anders
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374591/
https://www.ncbi.nlm.nih.gov/pubmed/18205959
http://dx.doi.org/10.1186/cc6771
_version_ 1782154489612992512
author Koefoed-Nielsen, Jacob
Nielsen, Niels Dahlsgaard
Kjærgaard, Anders J
Larsson, Anders
author_facet Koefoed-Nielsen, Jacob
Nielsen, Niels Dahlsgaard
Kjærgaard, Anders J
Larsson, Anders
author_sort Koefoed-Nielsen, Jacob
collection PubMed
description INTRODUCTION: Simple methods to predict the effect of lung recruitment maneuvers (LRMs) in acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are lacking. It has previously been found that a static pressure–volume (PV) loop could indicate the increase in lung volume induced by positive end-expiratory pressure (PEEP) in ARDS. The purpose of this study was to test the hypothesis that in ALI (1) the difference in lung volume (ΔV) at a specific airway pressure (10 cmH(2)O was chosen in this test) obtained from the limbs of a PV loop agree with the increase in end-expiratory lung volume (ΔEELV) by an LRM at a specific PEEP (10 cmH(2)O), and (2) the maximal relative vertical (volume) difference between the limbs (maximal hysteresis/total lung capacity (MH/TLC)) could predict the changes in respiratory compliance (Crs), EELV and partial pressures of arterial O(2 )and CO(2 )(PaO(2 )and PaCO(2), respectively) by an LRM. METHODS: In eight ventilated pigs PV loops were obtained (1) before lung injury, (2) after lung injury induced by lung lavage, and (3) after additional injurious ventilation. ΔV and MH/TLC were determined from the PV loops. At all stages Crs, EELV, PaCO(2 )and PaO(2 )were registered at 0 cmH(2)O and at 10 cmH(2)O before and after LRM, and ΔEELV was calculated. Statistics: Wilcoxon's signed rank, Pearson's product moment correlation, Bland–Altman plot, and receiver operating characteristics curve. Medians and 25th and 75th centiles are reported. RESULTS: ΔV was 270 (220, 320) ml and ΔEELV was 227 (177, 306) ml (P < 0.047). The bias was 39 ml and the limits of agreement were – 49 ml to +127 ml. The R(2 )for relative changes in EELV, Crs, PaCO(2 )and PaO(2 )against MH/TLC were 0.55, 0.57, 0.36 and 0.05, respectively. The sensitivity and specificity for MH/TLC of 0.3 to predict improvement (>75th centile of what was found in uninjured lungs) were for EELV 1.0 and 0.85, Crs 0.88 and 1.0, PaCO(2 )0.78 and 0.60, and PaO(2 )1.0 and 0.69. CONCLUSION: A PV-loop-derived parameter, MH/TLC of 0.3, predicted changes in lung mechanics better than changes in gas exchange in this lung injury model.
format Text
id pubmed-2374591
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-23745912008-05-09 Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model Koefoed-Nielsen, Jacob Nielsen, Niels Dahlsgaard Kjærgaard, Anders J Larsson, Anders Crit Care Research INTRODUCTION: Simple methods to predict the effect of lung recruitment maneuvers (LRMs) in acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are lacking. It has previously been found that a static pressure–volume (PV) loop could indicate the increase in lung volume induced by positive end-expiratory pressure (PEEP) in ARDS. The purpose of this study was to test the hypothesis that in ALI (1) the difference in lung volume (ΔV) at a specific airway pressure (10 cmH(2)O was chosen in this test) obtained from the limbs of a PV loop agree with the increase in end-expiratory lung volume (ΔEELV) by an LRM at a specific PEEP (10 cmH(2)O), and (2) the maximal relative vertical (volume) difference between the limbs (maximal hysteresis/total lung capacity (MH/TLC)) could predict the changes in respiratory compliance (Crs), EELV and partial pressures of arterial O(2 )and CO(2 )(PaO(2 )and PaCO(2), respectively) by an LRM. METHODS: In eight ventilated pigs PV loops were obtained (1) before lung injury, (2) after lung injury induced by lung lavage, and (3) after additional injurious ventilation. ΔV and MH/TLC were determined from the PV loops. At all stages Crs, EELV, PaCO(2 )and PaO(2 )were registered at 0 cmH(2)O and at 10 cmH(2)O before and after LRM, and ΔEELV was calculated. Statistics: Wilcoxon's signed rank, Pearson's product moment correlation, Bland–Altman plot, and receiver operating characteristics curve. Medians and 25th and 75th centiles are reported. RESULTS: ΔV was 270 (220, 320) ml and ΔEELV was 227 (177, 306) ml (P < 0.047). The bias was 39 ml and the limits of agreement were – 49 ml to +127 ml. The R(2 )for relative changes in EELV, Crs, PaCO(2 )and PaO(2 )against MH/TLC were 0.55, 0.57, 0.36 and 0.05, respectively. The sensitivity and specificity for MH/TLC of 0.3 to predict improvement (>75th centile of what was found in uninjured lungs) were for EELV 1.0 and 0.85, Crs 0.88 and 1.0, PaCO(2 )0.78 and 0.60, and PaO(2 )1.0 and 0.69. CONCLUSION: A PV-loop-derived parameter, MH/TLC of 0.3, predicted changes in lung mechanics better than changes in gas exchange in this lung injury model. BioMed Central 2008 2008-01-21 /pmc/articles/PMC2374591/ /pubmed/18205959 http://dx.doi.org/10.1186/cc6771 Text en Copyright © 2008 Koefoed-Nielsen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Koefoed-Nielsen, Jacob
Nielsen, Niels Dahlsgaard
Kjærgaard, Anders J
Larsson, Anders
Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title_full Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title_fullStr Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title_full_unstemmed Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title_short Alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
title_sort alveolar recruitment can be predicted from airway pressure-lung volume loops: an experimental study in a porcine acute lung injury model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374591/
https://www.ncbi.nlm.nih.gov/pubmed/18205959
http://dx.doi.org/10.1186/cc6771
work_keys_str_mv AT koefoednielsenjacob alveolarrecruitmentcanbepredictedfromairwaypressurelungvolumeloopsanexperimentalstudyinaporcineacutelunginjurymodel
AT nielsennielsdahlsgaard alveolarrecruitmentcanbepredictedfromairwaypressurelungvolumeloopsanexperimentalstudyinaporcineacutelunginjurymodel
AT kjærgaardandersj alveolarrecruitmentcanbepredictedfromairwaypressurelungvolumeloopsanexperimentalstudyinaporcineacutelunginjurymodel
AT larssonanders alveolarrecruitmentcanbepredictedfromairwaypressurelungvolumeloopsanexperimentalstudyinaporcineacutelunginjurymodel