Cargando…

Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation

BACKGROUND: With biologically variable ventilation [BVV – using a computer-controller to add breath-to-breath variability to respiratory frequency (f) and tidal volume (V(T))] gas exchange and respiratory mechanics were compared using the ARDSNet low V(T )algorithm (Control) versus an approach using...

Descripción completa

Detalles Bibliográficos
Autores principales: Graham, M Ruth, Haberman, Craig J, Brewster, John F, Girling, Linda G, McManus, Bruce M, Mutch, W Alan C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1200564/
https://www.ncbi.nlm.nih.gov/pubmed/15985159
http://dx.doi.org/10.1186/1465-9921-6-64
_version_ 1782124888566267904
author Graham, M Ruth
Haberman, Craig J
Brewster, John F
Girling, Linda G
McManus, Bruce M
Mutch, W Alan C
author_facet Graham, M Ruth
Haberman, Craig J
Brewster, John F
Girling, Linda G
McManus, Bruce M
Mutch, W Alan C
author_sort Graham, M Ruth
collection PubMed
description BACKGROUND: With biologically variable ventilation [BVV – using a computer-controller to add breath-to-breath variability to respiratory frequency (f) and tidal volume (V(T))] gas exchange and respiratory mechanics were compared using the ARDSNet low V(T )algorithm (Control) versus an approach using mathematical modelling to individually optimise V(T )at the point of maximal compliance change on the convex portion of the inspiratory pressure-volume (P-V) curve (Experimental). METHODS: Pigs (n = 22) received pentothal/midazolam anaesthesia, oleic acid lung injury, then inspiratory P-V curve fitting to the four-parameter logistic Venegas equation F(P) = a + b[1 + e(-(P-c)/d)](-1 )where: a = volume at lower asymptote, b = the vital capacity or the total change in volume between the lower and upper asymptotes, c = pressure at the inflection point and d = index related to linear compliance. Both groups received BVV with gas exchange and respiratory mechanics measured hourly for 5 hrs. Postmortem bronchoalveolar fluid was analysed for interleukin-8 (IL-8). RESULTS: All P-V curves fit the Venegas equation (R(2 )> 0.995). Control V(T )averaged 7.4 ± 0.4 mL/kg as compared to Experimental 9.5 ± 1.6 mL/kg (range 6.6 – 10.8 mL/kg; p < 0.05). Variable V(T)s were within the convex portion of the P-V curve. In such circumstances, Jensen's inequality states "if F(P) is a convex function defined on an interval (r, s), and if P is a random variable taking values in (r, s), then the average or expected value (E) of F(P); E(F(P)) > F(E(P))." In both groups the inequality applied, since F(P) defines volume in the Venegas equation and (P) pressure and the range of V(T)s varied within the convex interval for individual P-V curves. Over 5 hrs, there were no significant differences between groups in minute ventilation, airway pressure, blood gases, haemodynamics, respiratory compliance or IL-8 concentrations. CONCLUSION: No difference between groups is a consequence of BVV occurring on the convex interval for individualised Venegas P-V curves in all experiments irrespective of group. Jensen's inequality provides theoretical proof of why a variable ventilatory approach is advantageous under these circumstances. When using BVV, with V(T )centred by Venegas P-V curve analysis at the point of maximal compliance change, some leeway in low V(T )settings beyond ARDSNet protocols may be possible in acute lung injury. This study also shows that in this model, the standard ARDSNet algorithm assures ventilation occurs on the convex portion of the P-V curve.
format Text
id pubmed-1200564
institution National Center for Biotechnology Information
language English
publishDate 2005
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-12005642005-09-09 Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation Graham, M Ruth Haberman, Craig J Brewster, John F Girling, Linda G McManus, Bruce M Mutch, W Alan C Respir Res Research BACKGROUND: With biologically variable ventilation [BVV – using a computer-controller to add breath-to-breath variability to respiratory frequency (f) and tidal volume (V(T))] gas exchange and respiratory mechanics were compared using the ARDSNet low V(T )algorithm (Control) versus an approach using mathematical modelling to individually optimise V(T )at the point of maximal compliance change on the convex portion of the inspiratory pressure-volume (P-V) curve (Experimental). METHODS: Pigs (n = 22) received pentothal/midazolam anaesthesia, oleic acid lung injury, then inspiratory P-V curve fitting to the four-parameter logistic Venegas equation F(P) = a + b[1 + e(-(P-c)/d)](-1 )where: a = volume at lower asymptote, b = the vital capacity or the total change in volume between the lower and upper asymptotes, c = pressure at the inflection point and d = index related to linear compliance. Both groups received BVV with gas exchange and respiratory mechanics measured hourly for 5 hrs. Postmortem bronchoalveolar fluid was analysed for interleukin-8 (IL-8). RESULTS: All P-V curves fit the Venegas equation (R(2 )> 0.995). Control V(T )averaged 7.4 ± 0.4 mL/kg as compared to Experimental 9.5 ± 1.6 mL/kg (range 6.6 – 10.8 mL/kg; p < 0.05). Variable V(T)s were within the convex portion of the P-V curve. In such circumstances, Jensen's inequality states "if F(P) is a convex function defined on an interval (r, s), and if P is a random variable taking values in (r, s), then the average or expected value (E) of F(P); E(F(P)) > F(E(P))." In both groups the inequality applied, since F(P) defines volume in the Venegas equation and (P) pressure and the range of V(T)s varied within the convex interval for individual P-V curves. Over 5 hrs, there were no significant differences between groups in minute ventilation, airway pressure, blood gases, haemodynamics, respiratory compliance or IL-8 concentrations. CONCLUSION: No difference between groups is a consequence of BVV occurring on the convex interval for individualised Venegas P-V curves in all experiments irrespective of group. Jensen's inequality provides theoretical proof of why a variable ventilatory approach is advantageous under these circumstances. When using BVV, with V(T )centred by Venegas P-V curve analysis at the point of maximal compliance change, some leeway in low V(T )settings beyond ARDSNet protocols may be possible in acute lung injury. This study also shows that in this model, the standard ARDSNet algorithm assures ventilation occurs on the convex portion of the P-V curve. BioMed Central 2005 2005-06-28 /pmc/articles/PMC1200564/ /pubmed/15985159 http://dx.doi.org/10.1186/1465-9921-6-64 Text en Copyright © 2005 Graham 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
Graham, M Ruth
Haberman, Craig J
Brewster, John F
Girling, Linda G
McManus, Bruce M
Mutch, W Alan C
Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title_full Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title_fullStr Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title_full_unstemmed Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title_short Mathematical modelling to centre low tidal volumes following acute lung injury: A study with biologically variable ventilation
title_sort mathematical modelling to centre low tidal volumes following acute lung injury: a study with biologically variable ventilation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1200564/
https://www.ncbi.nlm.nih.gov/pubmed/15985159
http://dx.doi.org/10.1186/1465-9921-6-64
work_keys_str_mv AT grahammruth mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation
AT habermancraigj mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation
AT brewsterjohnf mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation
AT girlinglindag mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation
AT mcmanusbrucem mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation
AT mutchwalanc mathematicalmodellingtocentrelowtidalvolumesfollowingacutelunginjuryastudywithbiologicallyvariableventilation