Abstract
Introduction: The assessment of treatable traits (TTs) can help manage obstructive lung disease, but relationships between clinical diagnoses and TTs are poorly understood; these can be studied using network analysis.
Aims: To investigate the relationship between 30 TTs selected by expert consensus and physician-assigned diagnosis among patients with asthma (n=5,932), asthma+COPD (n=1,396) and COPD (n=3,898) from the NOVELTY study (NCT02760329).
Methods: TTs and diagnostic labels were analysed as binary variables (present/absent), and sex and age (% females and patients >65 years) were also included; the measure of association was odds ratios (OR) adjusted for age (continuous) and sex. The colour of each node in the network indicates the TT domain (see the figure key). Node size is proportional to the prevalence of that TT, and the link line (edge) thickness is proportional to the OR (red edge, OR>1; green edge, OR<1), all p<0.001. Networks were generated using R and Cytoscape.
Results: The figure shows the association of present (red edge) and absent (green edge) TTs with physician-assigned asthma, asthma+COPD or COPD. Networks that included associations among TTs (not shown) were more complex in COPD and asthma+COPD than in asthma and varied with severity.
Conclusions: Relationships between TTs in obstructive lung disease are complex and differ in asthma and COPD, with asthma+COPD being closer to the latter.
Footnotes
Cite this article as: European Respiratory Journal 2021; 58: Suppl. 65, OA1593.
This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2021