Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/33572
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dc.contributor.authorMarques, Aldapt_PT
dc.contributor.authorSouto-Miranda, Sarapt_PT
dc.contributor.authorMachado, Anapt_PT
dc.contributor.authorOliveira, Anapt_PT
dc.contributor.authorJácome, Cristinapt_PT
dc.contributor.authorCruz, Joanapt_PT
dc.contributor.authorEnes, Verapt_PT
dc.contributor.authorAfreixo, Verapt_PT
dc.contributor.authorMartins, Vitóriapt_PT
dc.contributor.authorAndrade, Líliapt_PT
dc.contributor.authorValente, Carlapt_PT
dc.contributor.authorFerreira, Divapt_PT
dc.contributor.authorSimão, Paulapt_PT
dc.contributor.authorBrooks, Dinapt_PT
dc.contributor.authorTavares, Ana Helenapt_PT
dc.date.accessioned2022-03-29T10:10:25Z-
dc.date.available2022-03-29T10:10:25Z-
dc.date.issued2022-02-14-
dc.identifier.issn1465-9921pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/33572-
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.language.isoengpt_PT
dc.publisherBMCpt_PT
dc.relationPOCI-01-0145-FEDER-007628pt_PT
dc.relationPOCI-010145-FEDER-028806pt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FDTP-PIC%2F2284%2F2014/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FSAU-SER%2F28806%2F2017/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04501%2F2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PTpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://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.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.issue1pt_PT
degois.publication.titleRespiratory Researchpt_PT
degois.publication.volume23pt_PT
dc.identifier.doi10.1186/s12931-022-01954-6pt_PT
dc.identifier.essn1465-993Xpt_PT
dc.identifier.articlenumber30pt_PT
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