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Use of a Digital Inhaler to Assess COPD Disease Variability and Identify Impending Acute COPD Exacerbations: A Pilot
M Bradley Drummond1, Caleb C Hemphill1, Tanisha Hill2
1Division of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Digital inhalers can predict acute exacerbations of chronic obstructive pulmonary disease (AECOPDs). Key inhalation metrics like volume and duration significantly decreased 14 days before an AECOPD, indicating potential for early detection.
Area of Science:
- Pulmonary Medicine
- Digital Health Technology
- Biomedical Engineering
Background:
- Digital inhalers offer remote monitoring capabilities, improving adherence and outcomes in conditions like asthma.
- Limited research exists on using digital inhaler data for predicting acute exacerbations of chronic obstructive pulmonary disease (AECOPDs).
Purpose of the Study:
- To investigate variations in physiologic and inhaler usage metrics captured by a digital inhaler in ambulatory patients with COPD before an AECOPD.
Main Methods:
- A phase 4, open-label, 3-month pilot study involving 40 ambulatory COPD patients using the ProAir Digihaler.
- Monthly COPD assessments and continuous monitoring of inhalation metrics via the digital inhaler.
- Analysis of inhalation data for variations preceding AECOPD events.
Main Results:
- Significant reductions in inhalation volume (1.4L to 1.1L), inhalation duration (1875msec to 1492.1msec), and time to peak (500msec to 376.3msec) were observed within 14 days of an AECOPD (p<0.02).
- No significant changes were noted in peak inspiratory flow (PIF) or daily inhaler usage.
- Data from 9649 inhalations were analyzed.
Conclusions:
- Physiologic data from digital inhalers can serve as a valuable remote monitoring tool.
- Early identification of impending AECOPDs in ambulatory COPD patients is feasible.
- Digital inhalers aid in monitoring COPD disease variability.
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