This is an observational study examining inhaler adherence and subsequent changes in blood eosinophil count in exacerbations of Chronic obstructive pulmonary disease (COPD) population. The study will run for 6 months as an observation period. Passive inhaler adherence monitoring will be done electronically via inhaler sensors connected to mobile Apps, and collecting symptoms questionnaires, diary of exacerbation events and trial visits predominantly in remote fashion. It will explore the feasibility of digital platform in clinical practice to collect the adherence data along with exacerbation events.
How Chronic Obstructive Pulmonary Disease (COPD) affects patients varies greatly among individuals. The concept of treatable traits, which identifies factors within an individual to allow targeted treatment has altered management strategies. The most commonly used biomarker for exacerbations of COPD is the blood eosinophil count \[BEC\], which tends to indicate a higher risk of exacerbations, but importantly is a biomarker of treatment response for corticosteroids. Current pharmacological treatment for COPD is predominately based around inhaled therapy in the form of bronchodilators and inhaled corticosteroids (ICS) therapy. However, almost half of the COPD population have been shown to poorly follow the prescribed inhaled therapy. This is important as a non-adherent trait may impact on BEC and result in unnecessary treatment escalation, increased risk to higher risk individuals (e.g. patients with high BEC) and lack of intervention around inhaler adherence. Recent developments of digital platforms could potentially address this by capturing objective adherence data, unrecorded exacerbation events or if possible, anticipating the latter. In summary, it is important to align inhaler adherence in conjunction with established biomarker, as is likely to help gain maximum benefit and better target interventions. In this study, the investigators propose the electronic monitoring of adherence and exacerbation reporting data along with the reflected changes in biomarkers and disease outcomes to lead a meaningful treatable trait approach in real-life setting.
Study Type
OBSERVATIONAL
Enrollment
104
NIHR Biomedical Research Centre, University of Leicester
Leicester, Leicestershire, United Kingdom
Total number of exacerbation events
All exacerbation events during study period
Time frame: 24 weeks
Number of participants who successfully completed the trial digital tasks
Participants who filled out electronic questionnaires and weekly symptom diaries
Time frame: Month 6
Feasibility of digital platform
Number of exacerbation events captured by digital platform
Time frame: Month 6
Change in blood eosinophil count over time
Peripheral blood eosinophil count
Time frame: Month 1, 2,4 & 6
Change in lung function test
Post-bronchodilator Forced Expiratory Volume in 1 second (FEV1)
Time frame: Month 0 & 6
Change in score of St George's Respiratory Questionnaire (SGRQ)
This 50-item questionnaire measures health status (quality of life) in patients with diseases of airway obstruction. Scores are broken down into 'symptoms' (normal participant range 9-15), 'activity' (normal participant range 7-12), 'impacts' (normal participant range 1-3), and a total score (normal participant range 5-7). Higher scores indicate poorer health status.
Time frame: Month 0,2,4 & 6
Change in score of COPD Assessment Tool (CAT)
The COPD Assessment Test (CAT) is a questionnaire for people with Chronic Obstructive Pulmonary Disease (COPD). It is designed to measure the impact of COPD on a person's life, and how this changes over time. Scores range from 0-40, with higher scores indicating greater impact of COPD on a patient's life.
Time frame: Month 0,2,4 & 6
Change in Extended MR dyspnoea score (eMRC)
This scale measures perceived respiratory disability. Participants rate their grades of breathlessness on a scale of 1 (least) to 5 (worst). The extension divides the grade 5 rating into 'a' (independent) and 'b' (dependent) to establish dependence on others for washing and dressing.
Time frame: Month 0,2,4 & 6
Number of exacerbation events
To compare between T2H and non T2H groups regardless of adherence level
Time frame: Month 6
Changes in blood eosinophil count
Comparison between nonT2high and T2high subgroups regardless of adherence rate
Time frame: Month 1,2,4 & 6
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