Finney Lydia J, Avey Stefan, Wiseman Dexter, Rowe Anthony, Loza Matthew J, Branigan Patrick, Stevenson Christopher S, Baribaud Frédéric, Wedzicha Jadwiga A, Pandis Ioannis, Donaldson Gavin C
National Heart and Lung Institute, Imperial College London, London, UK.
These authors contributed equally to this work.
ERJ Open Res. 2023 Dec 27;9(6). doi: 10.1183/23120541.00366-2023. eCollection 2023 Nov.
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.
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.
25 COPD patients were recruited (mean±sd age 70.8±7.1 years, forced expiratory volume in 1 s (FEV) 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 FEV % 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.
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.
早期准确识别慢性阻塞性肺疾病(COPD)急性加重可能会带来更早的治疗并预防住院。已开发出电子日记用于症状监测,加速度计用于监测活动。然而,尚不清楚该技术在COPD患者群体中是否可用。本研究旨在评估使用MoreCare应用程序进行症状报告的电子日记(eDiary)以及使用佳明Vivofit 2进行活动监测在COPD患者中的可行性。
从伦敦COPD队列中招募参与者。为参与者提供佳明Vivofit 2活动监测器和一台装有MoreCare应用程序的安卓平板电脑,为期3个月。
招募了25名COPD患者(平均年龄±标准差为70.8±7.1岁,1秒用力呼气量(FEV)为预测值的49.8±14.8%)。年龄、性别、疾病严重程度和加重频率对eDiary的依从性没有影响。每日中度活跃分钟数中位数与FEV%预测值之间存在中度正相关(ρ=0.62,p=0.005)。与加重前基线相比,在加重和恢复的最初7天内每日步数减少。决策树模型确定痰液颜色变化、步数变化、感冒严重程度、加重病史和急救药物使用是该队列中COPD急性加重的最重要预测因素。
在COPD患者中使用数字技术进行症状和活动监测是可行的。需要进一步开展大规模数字健康研究,以评估电子日记是否可用于识别有加重风险的患者并指导早期干预。