Multiple flow rate modelling of nitric oxide in COPD – methodological concerns

Multiple flow rates FeNO data two-compartment mathematical modelling can estimate NO airway wall concentration (CawNO), airway wall diffusing capacity (DawNO), alveolar concentration (CalvNO) and maximal NO flux (JawNO). To compare modelling based on linear, non linear and mixed linear and non linea...

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Main Authors: Kay Roy, Zoe Borrill, Andrew Hazel, Jorgen Vestbo, Dave Singh
Format: Article
Language:English
Published: European Respiratory Society 2006-12-01
Series:European Respiratory Review
Online Access:http://err.ersjournals.com/cgi/content/full/15/101/213
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author Kay Roy
Zoe Borrill
Andrew Hazel
Jorgen Vestbo
Dave Singh
author_facet Kay Roy
Zoe Borrill
Andrew Hazel
Jorgen Vestbo
Dave Singh
author_sort Kay Roy
collection DOAJ
description Multiple flow rates FeNO data two-compartment mathematical modelling can estimate NO airway wall concentration (CawNO), airway wall diffusing capacity (DawNO), alveolar concentration (CalvNO) and maximal NO flux (JawNO). To compare modelling based on linear, non linear and mixed linear and non linear analyses in COPD. FeNO was measured using the Niox analyser (Aerocrine) at flow rates: 10, 30, 50, 100 and 200ml/s in 50 COPD patients and the data applied to 4 different methods. All methods showed that current smoking reduced CawNO. JawNO data differed between methods (Table 1). All the methods showed that current smoking did not affect CalvNO or DawNO. Comparison of the methods showed that CalvNO and DawNO data were significantly different between all methods, JawNO was different for most between method comparisons, while there was agreement between all the methods for CawNO. Smoking in COPD reduces CawNO , but not CalvNO and DawNO. JawNO, CalvNO and DawNO data are model dependent parameters. CawNO findings were model independent, and hence the most robust modelled parameter.
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spelling doaj.art-5ab93eb7c43948cf929a6920cc8e82052022-12-22T02:49:30ZengEuropean Respiratory SocietyEuropean Respiratory Review0905-91801600-06172006-12-0115101213214Multiple flow rate modelling of nitric oxide in COPD – methodological concernsKay RoyZoe BorrillAndrew HazelJorgen VestboDave SinghMultiple flow rates FeNO data two-compartment mathematical modelling can estimate NO airway wall concentration (CawNO), airway wall diffusing capacity (DawNO), alveolar concentration (CalvNO) and maximal NO flux (JawNO). To compare modelling based on linear, non linear and mixed linear and non linear analyses in COPD. FeNO was measured using the Niox analyser (Aerocrine) at flow rates: 10, 30, 50, 100 and 200ml/s in 50 COPD patients and the data applied to 4 different methods. All methods showed that current smoking reduced CawNO. JawNO data differed between methods (Table 1). All the methods showed that current smoking did not affect CalvNO or DawNO. Comparison of the methods showed that CalvNO and DawNO data were significantly different between all methods, JawNO was different for most between method comparisons, while there was agreement between all the methods for CawNO. Smoking in COPD reduces CawNO , but not CalvNO and DawNO. JawNO, CalvNO and DawNO data are model dependent parameters. CawNO findings were model independent, and hence the most robust modelled parameter.http://err.ersjournals.com/cgi/content/full/15/101/213
spellingShingle Kay Roy
Zoe Borrill
Andrew Hazel
Jorgen Vestbo
Dave Singh
Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
European Respiratory Review
title Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
title_full Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
title_fullStr Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
title_full_unstemmed Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
title_short Multiple flow rate modelling of nitric oxide in COPD – methodological concerns
title_sort multiple flow rate modelling of nitric oxide in copd methodological concerns
url http://err.ersjournals.com/cgi/content/full/15/101/213
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