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Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability

2019Journal article Open access
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dc.contributor.authorAmaral, Rita
dc.contributor.authorPereira, Ana M.
dc.contributor.authorJacinto, Tiago
dc.contributor.authorMalinovschi, Andrei
dc.contributor.authorJanson, Christer
dc.contributor.authorAlving, Kjell
dc.contributor.authorFonseca, João A.
dc.date.accessioned2019-05-20T12:14:30Z
dc.date.available2019-05-20T12:14:30Z
dc.date.issued2019
dc.description.abstractHalf of the adults with current asthma among the US National Health and Nutrition Examination Survey (NHANES) participants could be classified in more than one hypothesis-driven phenotype. A data-driven approach applied to the same subjects may allow a more useful classification compared to the hypothesis-driven one. To compare previously defined hypothesis-driven with newly derived data-driven asthma phenotypes, identified by latent class analysis (LCA), in adults with current asthma from NHANES 2007–2012. Adults (≥ 18 years) with current asthma from the NHANES were included (n = 1059). LCA included variables commonly used to subdivide asthma. LCA models were derived independently according to age groups: < 40 and ≥ 40 years old. Two data-driven phenotypes were identified among adults with current asthma, for both age groups. The proportions of the hypothesis-driven phenotypes were similar among the two data-driven phenotypes (p > 0.05). Class A < 40 years (n = 285; 75%) and Class A ≥ 40 years (n = 462; 73%), respectively, were characterized by a predominance of highly symptomatic asthma subjects with poor lung function, compared to Class B < 40 years (n = 94; 25%) and Class B ≥ 40 years (n = 170; 27%). Inflammatory biomarkers, smoking status, presence of obesity and hay fever did not markedly differ between the phenotypes. Both data- and hypothesis-driven approaches using clinical and physiological variables commonly used to characterize asthma are suboptimal to identify asthma phenotypes among adults from the general population. Further studies based on more comprehensive disease features are required to identify asthma phenotypes in population-based studies.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmaral, R., Pereira, A. M., Jacinto, T., Malinovschi, A., Janson, C., Alving, K., & Fonseca, J. A. (2019). Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: The importance of comprehensive data availability. Clinical and Translational Allergy, 9(1), 17. https://doi.org/10.1186/s13601-019-0258-7
dc.identifier.doi10.1186/s13601-019-0258-7pt_PT
dc.identifier.issn2045-7022
dc.identifier.urihttp://hdl.handle.net/10400.22/13744
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationPOCI-01-0145-FEDER-007746pt_PT
dc.relation.publisherversionhttps://ctajournal.biomedcentral.com/articles/10.1186/s13601-019-0258-7pt_PT
dc.subjectAsthmapt_PT
dc.subjectPhenotypespt_PT
dc.subjectPopulation-based studypt_PT
dc.subjectUnsupervised analysispt_PT
dc.titleComparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availabilitypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage7pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleClinical and Translational Allergypt_PT
oaire.citation.volume9pt_PT
person.familyNameAmaral
person.givenNameRita
person.identifierR-00H-83K
person.identifier.ciencia-id1A1E-751F-50F0
person.identifier.ciencia-idED1E-5481-48E1
person.identifier.orcid0000-0002-0233-830X
person.identifier.orcid0000-0002-7897-1101
person.identifier.ridE-5535-2017
person.identifier.scopus-author-id56067841600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication.latestForDiscoveryd8696cf3-a961-4d88-963a-cefd61572ae3

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