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COPD profiles and treatable traits using minimal resources: Identification, decision tree and stability over time

dc.contributor.authorMarques, Alda
dc.contributor.authorSouto-Miranda, Sara
dc.contributor.authorMachado, Ana
dc.contributor.authorOliveira, Ana
dc.contributor.authorJácome, Cristina
dc.contributor.authorCruz, Joana
dc.contributor.authorEnes, Vera
dc.contributor.authorAfreixo, Vera
dc.contributor.authorMartins, Vitória
dc.contributor.authorAndrade, Lília
dc.contributor.authorValente, Carla
dc.contributor.authorFerreira, Diva
dc.contributor.authorSimão, Paula
dc.contributor.authorBrooks, Dina
dc.contributor.authorTavares, Ana Helena
dc.date.accessioned2022-03-28T13:04:06Z
dc.date.available2022-03-28T13:04:06Z
dc.date.issued2022-02-14
dc.description.abstractBackground and objective: Profiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time. Methods: An observational, prospective study was conducted. Clinical characteristics, lung function, symptoms, impact of the disease (COPD Assessment Test—CAT), health-related quality of life, physical activity, lower-limb muscle strength and functional status were collected cross-sectionally and a subsample was followed-up monthly over six months. A principal component analysis and a clustering procedure with k-medoids were applied to identify profiles. A decision tree was developed and validated cross-sectionally. Stability was explored over time with the ratio between the number of timepoints that a participant was classified in the same profile and the total number of timepoints (i.e., 6). Results: 352 people with COPD (67.4 ± 9.9 years; 78.1% male; FEV1 = 56.2 ± 20.6% predicted) participated and 90 (67.6 ± 8.9 years; 85.6% male; FEV1 = 52.1 ± 19.9% predicted) were followed-up. Four profiles were identified with distinct treatable traits. The decision tree included CAT (< 18 or ≥ 18 points); age (< 65 or ≥ 65 years) and FEV1 (< 48 or ≥ 48% predicted) and had an agreement of 71.7% (Cohen’s Kappa = 0.62, p < 0.001) with the actual profiles. 48.9% of participants remained in the same profile whilst 51.1% moved between two (47.8%) or three (3.3%) profiles over time. Overall stability was 86.8 ± 15%. Conclusion: Four profiles and treatable traits were identified with simple and meaningful measures possibly available in low-resource settings. A decision tree with three commonly used variables in the routine assessment of people with COPD is now available for quick allocation to the identified profiles in clinical practice. Profiles and treatable traits may change over time in people with COPD hence, regular assessments to deliver goal-targeted personalised treatments are needed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMarques, A., Souto-Miranda, S., Machado, A. et al. COPD profiles and treatable traits using minimal resources: identification, decision tree and stability over time. Respir Res 23, 30 (2022). https://doi.org/10.1186/s12931-022-01954-6pt_PT
dc.identifier.doi10.1186/s12931-022-01954-6pt_PT
dc.identifier.eissn1465-993X
dc.identifier.urihttp://hdl.handle.net/10400.8/6852
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBMCpt_PT
dc.relationPOCI-01-0145-FEDER-007628pt_PT
dc.relationPOCI-010145-FEDER-028806pt_PT
dc.relationPTDC/ DTP-PIC/2284/2014pt_PT
dc.relationAveiro Institute of Biomedicine
dc.relationCenter for Research and Development in Mathematics and Applications
dc.relation.ispartofseries30;
dc.relation.publisherversionhttps://respiratory-research.biomedcentral.com/articles/10.1186/s12931-022-01954-6pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPhenotypept_PT
dc.subjectCluster analysispt_PT
dc.subjectTreatable traitspt_PT
dc.subjectDecision treespt_PT
dc.subjectCOPDpt_PT
dc.titleCOPD profiles and treatable traits using minimal resources: Identification, decision tree and stability over timept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAveiro Institute of Biomedicine
oaire.awardTitleCenter for Research and Development in Mathematics and Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FSAU-SER%2F28806%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04501%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PT
oaire.citation.endPage13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleRespiratory Researchpt_PT
oaire.citation.volume23pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMarques
person.familyNameCruz
person.familyNameSimão
person.familyNameBrooks
person.givenNameAlda
person.givenNameJoana
person.givenNamePaula
person.givenNameDina
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person.identifier.orcid0000-0001-6080-5052
person.identifier.ridK-7030-2013
person.identifier.scopus-author-id36715922000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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