ERJ Open Research (Dec 2023)

Using an electronic diary and wristband accelerometer to detect exacerbations and activity levels in COPD: a feasibility study

  • Lydia J. Finney,
  • Stefan Avey,
  • Dexter Wiseman,
  • Anthony Rowe,
  • Matthew J. Loza,
  • Patrick Branigan,
  • Christopher S. Stevenson,
  • Frédéric Baribaud,
  • Jadwiga A. Wedzicha,
  • Ioannis Pandis,
  • Gavin C. Donaldson

DOI
https://doi.org/10.1183/23120541.00366-2023
Journal volume & issue
Vol. 9, no. 6

Abstract

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Background Early and accurate identification of acute exacerbations of COPD may lead to earlier treatment and prevent hospital admission. Electronic diaries have been developed for symptom monitoring and accelerometers to monitor activity. However, it is unclear whether this technology is usable in the COPD population. This study aimed to assess the feasibility of an electronic diary (eDiary) for symptom reporting using the MoreCare app and activity monitoring with the Garmin Vivofit 2 in COPD. Methods Participants were recruited from the London COPD Cohort. Participants were provided a Garmin Vivofit 2 activity monitor and an android tablet with the MoreCare app for a period of 3 months. Results 25 COPD patients were recruited (mean±sd age 70.8±7.1 years, forced expiratory volume in 1 s (FEV1) 49.8±14.8% predicted). Age, gender, disease severity and exacerbation frequency had no impact on eDiary compliance. There was a moderate positive correlation between median daily very active minutes and FEV1 % pred (ρ=0.62, p=0.005). Daily step counts decreased during the initial 7 days of exacerbation and recovery compared to a pre-exacerbation baseline. A decision-tree model identified change in sputum colour, change in step count, severity of cold, exacerbation history and use of rescue medication as the most important predictors of acute exacerbations of COPD in this cohort. Conclusions Symptom and activity monitoring using digital technology is feasible in COPD. Further large-scale digital health studies are needed to assess whether eDiaries can be used to identify patients at risk of exacerbation and guide early intervention.