Study type

Study topic

Disease /health condition

Study type

Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Evaluating point-of-care phenotyping and guideline-based assessment and management optimalisation

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Asthma
Population studied

Short description of the study population

Adult patients with uncontrolled asthma and treated with ICS+LABA

Age groups

  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

700
Study design details

Study design

The OptimAIR study is a prospective study in asthma evaluating point-of-care phenotyping and
guideline-based assessment and management optimalisation using the AsthmaOptimiser.

Main study objective

Primary Objective:
Assess the level of asthma control and opportunities for management improvement using the AsthmaOptimiser tool in Argentina, Chile and Spain.

Secondary objectives:
- Gain insights into management changes following the use of AsthmaOptimiser and Oxford asthma attack risk scale (ORACLE) score
- Determine impact of assessment with AsthmaOptimiser on medium term asthma control

Exploratory objectives:
- Assess the population risk for future exacerbation according to the ORACLE score
- Assess impact OptimAIR participation in engagement with clinical trials

Setting

Patients will be recruited via primary care.
Each patient will attend a single study visit. This visit can be short or full-length, depending on
asthma control and lung function.

Short visit:
During the short visit, patient’s current asthma control and status will be assessed using the ACQ-6
and CAAT, and oscillometry will be performed. Based on the outcome of the short visit there are two
options:
1. Well controlled asthma, defined as ACQ-6 score ≤ 0.75 and normal oscillometry (ALDS result: “normal lung function”). The visit is finished. The patient will receive follow-up questionnaires via the Respiratory registry after 3 and 6 months.
2. Uncontrolled asthma, defined as ACQ-6 score > 0.75 OR abnormal lungfunction based on
the ALDS report. The patient will continue with the full visit.

Full visit:
During the full visit, patient’s current asthma control and management will be assessed using the
AsthmaOptimiser, including spirometry, complemented by Fraction exhaled nitric oxide (FeNO)
measurement, determination of blood eosinophil (bEOS) counts using point-of-care measurements,
and post oscillometry. Following the assessment, both patient and their healthcare provider will
receive a report with results of the visit, recommended treatment according to the GINA guidance
and future risk according to the ORACLE score. Patients and, where approved by the patient,
treating clinicians receive a list of studies being conducted in their region which the patient might be
eligible for.
Patient follow-up will be conducted after 3 and 6 months using the Respiratory Registry. The
patients will receive an online invitation to fill in a digital questionnaire including questions regarding
their exacerbations during the past 3 months, potential changes in medication use and the CAAT
questionnaire.

Outcomes

Primary objective:
Number and distribution of identified opportunities for treatment and management optimisation (based on Global
Initiative for Asthma (GINA) guidance)

Secondary objectives:
• Number and type of changes made to inhaled medication
• Number of changes of inhaler device made based upon technique optimisation
• Number and type of recommendations made to lifestyle changes (eg smoking cessation)

• Change from baseline in CAAT score after 12 weeks
• Change from baseline in ACQ-6 score after 12 weeks

Exploratory objectives
• Distribution of ORACLE risk score
• Number of patients identified based on ICS use, lung function and biomarkers that would be eligible for non-ICS treatment in clinical trials
• Willingness to participate in interventional clinical trials when approached through OptimAIR visit
• Change in CAAT score in patients eligible and participating in clinical trials versus patients eligible but not participating in clinical trials after 6 months

Data analysis plan

Mainly descriptive statistics will be used to present the results of the study