1. COPD profiles and treatable traits using minimal resources: identification, decision tree and stability over time
- Author
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Alda Marques, Sara Souto-Miranda, Ana Machado, Ana Oliveira, Cristina Jácome, Joana Cruz, Vera Enes, Vera Afreixo, Vitória Martins, Lília Andrade, Carla Valente, Diva Ferreira, Paula Simão, Dina Brooks, and Ana Helena Tavares
- Subjects
Phenotype ,Cluster analysis ,Treatable traits ,Decision trees ,COPD ,Diseases of the respiratory system ,RC705-779 - Abstract
Abstract Background 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 (
- Published
- 2022
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