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Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes

2018Journal article Open access
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dc.contributor.authorAmaral, Rita
dc.contributor.authorBousquet, Jean
dc.contributor.authorPereira, Ana M.
dc.contributor.authorAraújo, Luís M.
dc.contributor.authorSá‐Sousa, Ana
dc.contributor.authorJacinto, Tiago
dc.contributor.authorAlmeida, Rute
dc.contributor.authorDelgado, Luís
dc.contributor.authorFonseca, João A.
dc.date.accessioned2019-07-11T13:28:00Z
dc.date.available2020-05-02T00:30:30Z
dc.date.issued2018
dc.description.abstractBackground Refined phenotyping of allergic diseases may unravel novel phenotypes. Conjunctivitis as an independent disorder has never been approached. Aim To identify distinct classes of allergic respiratory diseases using latent class analysis (LCA) and distinguish each class using classification and regression tree (CART) analysis. Methods Seven hundred and twenty‐eight adults from the Portuguese general population study ICAR had a structured medical interview combined with blood collection, skin prick tests, spirometry with bronchodilation, and exhaled nitric oxide. LCA was applied to 19 variables. The CART algorithm selected the most likely variables distinguishing LCA‐classes. Results A six‐class model was obtained. Class 1 (25%): nonallergic participants without bronchial or ocular symptoms. Classes 2 (22%) and 3 (11%): nasal and ocular (low levels) symptoms without nasal impairment, monosensitized (Class 2) or polysensitized (Class 3). Class 4 (13%): polysensitized participants with high levels of nasal and ocular symptoms, and nasal impairment. Classes 5 (16%) and 6 (14%): high level of nasal, bronchial and ocular symptoms with nasal impairment (non‐allergic or polysensitized, respectively). Participants in classes 5 and 6 had more bronchial exacerbations and unscheduled medical visits (P < 0.001). Ocular symptoms were significantly higher in classes with nasal impairment, compared to those without impairment (P < 0.001) or no nasal symptom (P < 0.001). CART highlighted ocular symptoms as the most relevant variable in distinguishing LCA‐classes. Conclusion Novel severe phenotypes of participants with co‐occurrence of ocular, nasal and bronchial symptoms, and exacerbation‐prone were identified. The tree algorithm showed the importance of the ocular symptoms in the expression of allergic diseases phenotypes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmaral, R., Bousquet, J., Pereira, A. M., Araújo, L. M., Sá-Sousa, A., Jacinto, T., Almeida, R., Delgado, L., & Fonseca, J. A. (2019). Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes. Allergy, 74(4), 698–708. https://doi.org/10.1111/all.13670
dc.identifier.doi10.1111/all.13670pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14334
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationPTDC/SAU‐SAP/119192/2010pt_PT
dc.relationPhenotypes of Inflammatory Airways Disease: Multidimensional models for classification and prediction
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1111/all.13670pt_PT
dc.subjectAirways symptomspt_PT
dc.subjectAllergic sensitizationpt_PT
dc.subjectCluster analysispt_PT
dc.subjectOcular symptomspt_PT
dc.titleDisentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitlePhenotypes of Inflammatory Airways Disease: Multidimensional models for classification and prediction
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F113659%2F2015/PT
oaire.citation.endPage708pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage698pt_PT
oaire.citation.titleEuropean Journal of Allergy and Clinical Immunologypt_PT
oaire.citation.volume74pt_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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isAuthorOfPublicationd8696cf3-a961-4d88-963a-cefd61572ae3
relation.isAuthorOfPublication.latestForDiscovery790fdd33-acdb-4dfe-88dc-38538486c9b3
relation.isProjectOfPublication3217092d-3434-4ab5-bb4f-55ac0e61d271
relation.isProjectOfPublication.latestForDiscovery3217092d-3434-4ab5-bb4f-55ac0e61d271

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