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.
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.