Cargando…

Can computer simulators accurately represent the pathophysiology of individual COPD patients?

BACKGROUND: Computer simulation models could play a key role in developing novel therapeutic strategies for patients with chronic obstructive pulmonary disease (COPD) if they can be shown to accurately represent the pathophysiological characteristics of individual patients. METHODS: We evaluated the...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Wenfei, Das, Anup, Ali, Tayyba, Cole, Oanna, Chikhani, Marc, Haque, Mainul, Hardman, Jonathan G, Bates, Declan G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513041/
https://www.ncbi.nlm.nih.gov/pubmed/26266920
http://dx.doi.org/10.1186/s40635-014-0023-0
_version_ 1782382581095858176
author Wang, Wenfei
Das, Anup
Ali, Tayyba
Cole, Oanna
Chikhani, Marc
Haque, Mainul
Hardman, Jonathan G
Bates, Declan G
author_facet Wang, Wenfei
Das, Anup
Ali, Tayyba
Cole, Oanna
Chikhani, Marc
Haque, Mainul
Hardman, Jonathan G
Bates, Declan G
author_sort Wang, Wenfei
collection PubMed
description BACKGROUND: Computer simulation models could play a key role in developing novel therapeutic strategies for patients with chronic obstructive pulmonary disease (COPD) if they can be shown to accurately represent the pathophysiological characteristics of individual patients. METHODS: We evaluated the capability of a computational simulator to reproduce the heterogeneous effects of COPD on alveolar mechanics as captured in a number of different patient datasets. RESULTS: Our results show that accurately representing the pathophysiology of individual COPD patients necessitates the use of simulation models with large numbers (up to 200) of compartments for gas exchange. The tuning of such complex simulation models ‘by hand’ to match patient data is not feasible, and thus we present an automated approach based on the use of global optimization algorithms and high-performance computing. Using this approach, we are able to achieve extremely close matches between the simulator and a range of patient data including PaO(2), PaCO(2), pulmonary deadspace fraction, pulmonary shunt fraction, and ventilation/perfusion (V̇/Q) curves. Using the simulator, we computed combinations of ventilator settings that optimally manage the trade-off between ensuring adequate gas exchange and minimizing the risk of ventilator-associated lung injury for an individual COPD patient. CONCLUSIONS: Our results significantly strengthen the credibility of computer simulation models as research tools for the development of novel management protocols in COPD and other pulmonary disease states. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40635-014-0023-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4513041
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-45130412015-07-27 Can computer simulators accurately represent the pathophysiology of individual COPD patients? Wang, Wenfei Das, Anup Ali, Tayyba Cole, Oanna Chikhani, Marc Haque, Mainul Hardman, Jonathan G Bates, Declan G Intensive Care Med Exp Research BACKGROUND: Computer simulation models could play a key role in developing novel therapeutic strategies for patients with chronic obstructive pulmonary disease (COPD) if they can be shown to accurately represent the pathophysiological characteristics of individual patients. METHODS: We evaluated the capability of a computational simulator to reproduce the heterogeneous effects of COPD on alveolar mechanics as captured in a number of different patient datasets. RESULTS: Our results show that accurately representing the pathophysiology of individual COPD patients necessitates the use of simulation models with large numbers (up to 200) of compartments for gas exchange. The tuning of such complex simulation models ‘by hand’ to match patient data is not feasible, and thus we present an automated approach based on the use of global optimization algorithms and high-performance computing. Using this approach, we are able to achieve extremely close matches between the simulator and a range of patient data including PaO(2), PaCO(2), pulmonary deadspace fraction, pulmonary shunt fraction, and ventilation/perfusion (V̇/Q) curves. Using the simulator, we computed combinations of ventilator settings that optimally manage the trade-off between ensuring adequate gas exchange and minimizing the risk of ventilator-associated lung injury for an individual COPD patient. CONCLUSIONS: Our results significantly strengthen the credibility of computer simulation models as research tools for the development of novel management protocols in COPD and other pulmonary disease states. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40635-014-0023-0) contains supplementary material, which is available to authorized users. Springer International Publishing 2014-09-20 /pmc/articles/PMC4513041/ /pubmed/26266920 http://dx.doi.org/10.1186/s40635-014-0023-0 Text en © Wang et al.; licensee Springer. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Wang, Wenfei
Das, Anup
Ali, Tayyba
Cole, Oanna
Chikhani, Marc
Haque, Mainul
Hardman, Jonathan G
Bates, Declan G
Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title_full Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title_fullStr Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title_full_unstemmed Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title_short Can computer simulators accurately represent the pathophysiology of individual COPD patients?
title_sort can computer simulators accurately represent the pathophysiology of individual copd patients?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513041/
https://www.ncbi.nlm.nih.gov/pubmed/26266920
http://dx.doi.org/10.1186/s40635-014-0023-0
work_keys_str_mv AT wangwenfei cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT dasanup cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT alitayyba cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT coleoanna cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT chikhanimarc cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT haquemainul cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT hardmanjonathang cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients
AT batesdeclang cancomputersimulatorsaccuratelyrepresentthepathophysiologyofindividualcopdpatients