Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method

Detalhes bibliográficos
Autor(a) principal: Jacinto, Tiago
Data de Publicação: 2018
Outros Autores: Amaral, Rita, Malinovschi, Andrei, Janson, Christer, Fonseca, João, Alving, Kjell
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/13932
Resumo: Absolute values are used in the interpretation of the fraction of exhaled nitric oxide (FeNO), but it has been suggested that equations to calculate reference values may be a practical and clinically useful approach. We hypothesize that the application of the Lambda-Mu-Sigma (LMS) method may improve FeNO reference equations and their interpretation. Our aims were to develop FeNO reference equations with the LMS method and to describe the difference between this method and the absolute fixed cut-offs of the current recommendations. We utilized the United States National Health and Nutrition Examination Surveys 2007-2012 and included healthy individuals with no respiratory diseases and blood eosinophils <300/mm3 ( n = 8,340). Natural log-transformed FeNO was modeled using the LMS method, imbedded in the generalized additive models for location, scale, and shape models. A set of FeNO reference equations was developed. The explanatory variables were sex, age, height, smoking habits, and race/ethnicity. A significant proportion of individuals with normal FeNO given by the equations were classified as having intermediate levels by the current recommendations. Further lower predicted FeNO compared with previous linear models was seen. In conclusion, we suggest a novel model for the prediction of reference FeNO values that can contribute to the interpretation of FeNO in clinical practice. This approach should be further validated in large samples with an objective measurement of atopy and a medical diagnosis of asthma and rhinitis. NEW & NOTEWORTHY Novel reference equations and fraction of exhaled nitric oxide (FeNO)-predicted values to improve interpretation of FeNO in clinical practice are presented. These may increase the accuracy of ruling out airway inflammation in patients with asthma or suspected asthma.
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spelling Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma methodAsthmaExhaled nitric oxideAbsolute values are used in the interpretation of the fraction of exhaled nitric oxide (FeNO), but it has been suggested that equations to calculate reference values may be a practical and clinically useful approach. We hypothesize that the application of the Lambda-Mu-Sigma (LMS) method may improve FeNO reference equations and their interpretation. Our aims were to develop FeNO reference equations with the LMS method and to describe the difference between this method and the absolute fixed cut-offs of the current recommendations. We utilized the United States National Health and Nutrition Examination Surveys 2007-2012 and included healthy individuals with no respiratory diseases and blood eosinophils <300/mm3 ( n = 8,340). Natural log-transformed FeNO was modeled using the LMS method, imbedded in the generalized additive models for location, scale, and shape models. A set of FeNO reference equations was developed. The explanatory variables were sex, age, height, smoking habits, and race/ethnicity. A significant proportion of individuals with normal FeNO given by the equations were classified as having intermediate levels by the current recommendations. Further lower predicted FeNO compared with previous linear models was seen. In conclusion, we suggest a novel model for the prediction of reference FeNO values that can contribute to the interpretation of FeNO in clinical practice. This approach should be further validated in large samples with an objective measurement of atopy and a medical diagnosis of asthma and rhinitis. NEW & NOTEWORTHY Novel reference equations and fraction of exhaled nitric oxide (FeNO)-predicted values to improve interpretation of FeNO in clinical practice are presented. These may increase the accuracy of ruling out airway inflammation in patients with asthma or suspected asthma.American Physiological SocietyRepositório Científico do Instituto Politécnico do PortoJacinto, TiagoAmaral, RitaMalinovschi, AndreiJanson, ChristerFonseca, JoãoAlving, Kjell2019-12-12T01:30:26Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/13932engJacinto, T., Amaral, R., Malinovschi, A., Janson, C., Fonseca, J., & Alving, K. (2018). Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method. Journal of Applied Physiology, 125(5), 1620–1626. https://doi.org/10.1152/japplphysiol.00093.201810.1152/japplphysiol.00093.2018info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-20T01:53:20Zoai:recipp.ipp.pt:10400.22/13932Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:33:47.452576Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
title Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
spellingShingle Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
Jacinto, Tiago
Asthma
Exhaled nitric oxide
title_short Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
title_full Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
title_fullStr Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
title_full_unstemmed Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
title_sort Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
author Jacinto, Tiago
author_facet Jacinto, Tiago
Amaral, Rita
Malinovschi, Andrei
Janson, Christer
Fonseca, João
Alving, Kjell
author_role author
author2 Amaral, Rita
Malinovschi, Andrei
Janson, Christer
Fonseca, João
Alving, Kjell
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Jacinto, Tiago
Amaral, Rita
Malinovschi, Andrei
Janson, Christer
Fonseca, João
Alving, Kjell
dc.subject.por.fl_str_mv Asthma
Exhaled nitric oxide
topic Asthma
Exhaled nitric oxide
description Absolute values are used in the interpretation of the fraction of exhaled nitric oxide (FeNO), but it has been suggested that equations to calculate reference values may be a practical and clinically useful approach. We hypothesize that the application of the Lambda-Mu-Sigma (LMS) method may improve FeNO reference equations and their interpretation. Our aims were to develop FeNO reference equations with the LMS method and to describe the difference between this method and the absolute fixed cut-offs of the current recommendations. We utilized the United States National Health and Nutrition Examination Surveys 2007-2012 and included healthy individuals with no respiratory diseases and blood eosinophils <300/mm3 ( n = 8,340). Natural log-transformed FeNO was modeled using the LMS method, imbedded in the generalized additive models for location, scale, and shape models. A set of FeNO reference equations was developed. The explanatory variables were sex, age, height, smoking habits, and race/ethnicity. A significant proportion of individuals with normal FeNO given by the equations were classified as having intermediate levels by the current recommendations. Further lower predicted FeNO compared with previous linear models was seen. In conclusion, we suggest a novel model for the prediction of reference FeNO values that can contribute to the interpretation of FeNO in clinical practice. This approach should be further validated in large samples with an objective measurement of atopy and a medical diagnosis of asthma and rhinitis. NEW & NOTEWORTHY Novel reference equations and fraction of exhaled nitric oxide (FeNO)-predicted values to improve interpretation of FeNO in clinical practice are presented. These may increase the accuracy of ruling out airway inflammation in patients with asthma or suspected asthma.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2019-12-12T01:30:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/13932
url http://hdl.handle.net/10400.22/13932
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Jacinto, T., Amaral, R., Malinovschi, A., Janson, C., Fonseca, J., & Alving, K. (2018). Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method. Journal of Applied Physiology, 125(5), 1620–1626. https://doi.org/10.1152/japplphysiol.00093.2018
10.1152/japplphysiol.00093.2018
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Physiological Society
publisher.none.fl_str_mv American Physiological Society
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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