Dr Erin Harvey

Background: Clinical characteristics of the international population with severe asthma are unknown. Intercountry comparisons are hindered by variable data collection within regional and national severe asthma registries. We aimed to describe demographic and clinical characteristics of patients treated in severe asthma services in the United States, Europe, and the Asia-Pacific region. Methods: The International Severe Asthma Registry retrospectively and prospectively collected data in patients with severe asthma (= 18 years old), receiving Global Initiative for Asthma (GINA) Step 5 treatment or with severe asthma remaining uncontrolled at GINA Step 4. Baseline demographic and clinical data were collected from the United States, United Kingdom, South Korea, Italy, and the Severe Asthma Web-based Database registry (including Australia, Singapore, and New Zealand) from December 2014 to December 2017. Results: We included 4,990 patients. Mean (SD) age was 55.0 (15.9) years, and mean (SD) age at asthma onset was 30.7 (17.7) years. Patients were predominantly female (59.3%) and white (72.6%), had never smoked (60.5%), and were overweight or obese (70.4%); 34.9% were at GINA Step 5; and 57.2% had poorly controlled disease. A total of 51.1% of patients were receiving regular intermittent oral corticosteroids, and 25.4% were receiving biologics (72.6% for those at GINA Step 5). Mean (SD) exacerbation rate was 1.7 (2.7) per year. Intercountry variation was observed in clinical characteristics, prescribed treatments, and biomarker profiles. Conclusions: Using a common data set and definitions, this study describes severe asthma characteristics of a large patient cohort included in multiple severe asthma registries and identifies country differences. Whether these are related to underlying epidemiological factors, environmental factors, phenotypes, asthma management systems, treatment access, and/or cultural factors requires further study.

Background: The lack of centralized data on severe asthma has resulted in a scarcity of information about the disease and its management. The development of a common data collection tool for the International Severe Asthma Registry (ISAR) will enable standardized data collection, subsequently enabling data interoperability. Objectives: To create a standardized list of variables for the first international registry for severe asthma via expert consensus. Methods: A modified Delphi process was used to reach consensus on a minimum set of variables to capture in ISAR: the core variables. The Delphi panel brought together 27 international experts in the field of severe asthma research. The process consisted of 3 iterative rounds. In each round, all Delphi panel members were issued an electronic ISAR Delphi workbook to complete and return to the ISAR Delphi administrator. Workbooks and result summaries were anonymously distributed by the Delphi administrator to all panel members at subsequent rounds. Finalization of the core variable list was facilitated by 2 face-to-face meetings. Results: Of the initial 747 selected variables, the Delphi panel reached a consensus on 95. The chosen variables will allow severe asthma to be assessed against patient demographics and medical history, patient-reported outcomes, diagnostic information, and clinical characteristics. Physician-reported outcomes such as nonadherence and information about treatment and management strategies will also be recorded. Conclusions: This is the first global attempt to generate an ISAR using a common set of core variables to ensure that data collected across all participating countries are standardized.

Severe asthma is complex and heterogeneous; ad hoc outpatient assessment can be suboptimal. Systematic evaluation improves outcomes and is recommended by international guidelines. Electronic templates improve physician performance and clinical processes, and may be useful in severe asthma systematic evaluation. We developed the Severe Asthma Global Evaluation (SAGE) electronic platform to streamline this process, via Research Electronic Data Capture (REDCap). It incorporates: a questionnaire battery for patient completion before clinical consultation; asthma and comorbidity modules; a clinical summary page in an asthma management module; a nurse educator module; a structured panel discussion record; and an automatically generated report incorporating all key data. SAGE incorporates 282 clinician input fields, with a typical consultation requiring completion of 169. To streamline the process SAGE contains 34 autocalculations and 20 decision support tools. It incorporates all 95 core variables of the International Severe Asthma Registry, with which it is directly compatible. SAGE improves symptom control and exacerbations in patients with difficult asthma. In conclusion, we developed and validated an electronic platform that facilitates a comprehensive but streamlined systematic evaluation of severe asthma that is available for free download via REDCap. Its use enhances management of patients with severe asthma and facilitates audit and international research collaboration.

Background and objective: A new taxonomic and management approach, termed treatable traits, has been proposed for airway diseases including severe asthma. This study examined whether treatable traits could be identified using registry data and whether particular treatable traits were associated with future exacerbation risk. Methods: The Australasian Severe Asthma Web-Based Database (SAWD) enrolled 434 participants with severe asthma and a comparison group of 102 participants with non-severe asthma. Published treatable traits were mapped to registry data fields and their prevalence was described. Participants were characterized at baseline and every 6 months for 24 months. Results: In SAWD, 24 treatable traits were identified in three domains: pulmonary, extrapulmonary and behavioural/risk factors. Patients with severe asthma expressed more pulmonary and extrapulmonary treatable traits than non-severe asthma. Allergic sensitization, upper-airway disease, airflow limitation, eosinophilic inflammation and frequent exacerbations were common in severe asthma. Ten traits predicted exacerbation risk; among the strongest were being prone to exacerbations, depression, inhaler device polypharmacy, vocal cord dysfunction and obstructive sleep apnoea. Conclusion: Treatable traits can be assessed using a severe asthma registry. In severe asthma, patients express more treatable traits than non-severe asthma. Traits may be associated with future asthma exacerbation risk demonstrating the clinical utility of assessing treatable traits.