Background and objective Asthma and chronic obstructive pulmonary disease (COPD) are two prevalent and complex diseases that require personalized management. Although a strategy based on treatable traits (TTs) has been proposed, the prevalence and relationship of TTs to the diagnostic label and disease severity established by the attending physician in a real‐world setting are unknown. We assessed how the presence/absence of specific TTs relate to the diagnosis and severity of ‘asthma’, ‘COPD’ or ‘asthma + COPD’. Methods The authors selected 30 frequently occurring TTs from the NOVELTY study cohort (NOVEL observational longiTudinal studY; NCT02760329), a large (n = 11,226), global study that systematically collects data in a real‐world setting, both in primary care clinics and specialized centres, for patients with ‘asthma’ (n = 5932, 52.8%), ‘COPD’ (n = 3898, 34.7%) or both (‘asthma + COPD’; n = 1396, 12.4%). Results The results indicate that (1) the prevalence of the 30 TTs evaluated varied widely, with a mean ± SD of 4.6 ± 2.6, 5.4 ± 2.6 and 6.4 ± 2.8 TTs/patient in those with ‘asthma’, ‘COPD’ and ‘asthma + COPD’, respectively (p < 0.0001); (2) there were no large global geographical variations, but the prevalence of TTs was different in primary versus specialized clinics; (3) several TTs were specific to the diagnosis and severity of disease, but many were not; and (4) both the presence and absence of TTs formed a pattern that is recognized by clinicians to establish a diagnosis and grade its severity. Conclusion These results provide the largest and most granular characterization of TTs in patients with airway diseases in a real‐world setting to date.

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This project is pioneering in terms of its purpose - the definition of quality standards for AITCs - and for the use of structured participation techniques - a combination of the RAND/UCLA and Delphi methods. The results, together with some minimum standards for quality and safety in administering AIT, is a set of quality criteria for AITC accreditation supported by a broad panel of SEAIC experts.

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