Repository logo
 
Publication

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

2018Journal article Open access
Simple item page
dc.contributor.authorJacinto, Tiago
dc.contributor.authorAmaral, Rita
dc.contributor.authorMalinovschi, Andrei
dc.contributor.authorJanson, Christer
dc.contributor.authorFonseca, João
dc.contributor.authorAlving, Kjell
dc.date.accessioned2019-06-07T14:48:41Z
dc.date.available2019-12-12T01:30:26Z
dc.date.issued2018
dc.description.abstractAbsolute 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJacinto, 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
dc.identifier.doi10.1152/japplphysiol.00093.2018pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13932
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAmerican Physiological Societypt_PT
dc.relationPOCI-01-0145-FEDER-007746pt_PT
dc.relationUID/IC/4255/ 2013pt_PT
dc.relation.publisherversionhttps://www.physiology.org/doi/abs/10.1152/japplphysiol.00093.2018pt_PT
dc.subjectAsthmapt_PT
dc.subjectExhaled nitric oxidept_PT
dc.titleExhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1626pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage1620pt_PT
oaire.citation.titleJournal of Applied Physiologypt_PT
oaire.citation.volume125pt_PT
person.familyNameAmaral
person.givenNameRita
person.identifierR-00H-83K
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.ciencia-id1A1E-751F-50F0
person.identifier.orcid0000-0002-7897-1101
person.identifier.orcid0000-0002-0233-830X
person.identifier.ridE-5535-2017
person.identifier.scopus-author-id56067841600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublication.latestForDiscovery790fdd33-acdb-4dfe-88dc-38538486c9b3

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ART_TiagoJacinto_2018.pdf
Size:
569.57 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESS - CAR - Artigos