使用电子日记和腕带加速度计检测慢性阻塞性肺病的病情加重和活动量:一项可行性研究。

IF 4.3 3区 医学 Q1 RESPIRATORY SYSTEM
ERJ Open Research Pub Date : 2023-12-27 eCollection Date: 2023-11-01 DOI:10.1183/23120541.00366-2023
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
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引用次数: 0

摘要

背景:及早准确地识别慢性阻塞性肺病的急性加重,可使患者更早接受治疗,避免入院。目前已开发出用于监测症状的电子日记和监测活动的加速度计。然而,目前还不清楚这种技术是否适用于慢性阻塞性肺病患者。本研究旨在评估使用 MoreCare 应用程序报告症状的电子日记(eDiary)和使用 Garmin Vivofit 2 监测慢性阻塞性肺病患者活动的可行性:从伦敦慢性阻塞性肺病队列中招募参与者。结果:共招募了 25 名慢性阻塞性肺病患者(平均年龄(±sd)为 70.8±7.1 岁,1 秒内用力呼气容积(FEV1)预测值为 49.8±14.8%)。年龄、性别、疾病严重程度和恶化频率对电子日记依从性没有影响。每日非常活跃分钟数中位数与预测值 FEV1 % 之间存在中度正相关(ρ=0.62,p=0.005)。在病情加重和恢复的最初 7 天内,与病情加重前的基线相比,每日步数有所减少。通过决策树模型确定,痰液颜色的变化、步数的变化、感冒的严重程度、病情恶化史和抢救药物的使用是该队列中慢性阻塞性肺病急性加重最重要的预测因素:结论:使用数字技术监测慢性阻塞性肺病患者的症状和活动是可行的。需要进一步开展大规模的数字健康研究,以评估电子日记是否可用于识别有病情加重风险的患者并指导早期干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using an electronic diary and wristband accelerometer to detect exacerbations and activity levels in COPD: a feasibility study.

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.

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来源期刊
ERJ Open Research
ERJ Open Research Medicine-Pulmonary and Respiratory Medicine
CiteScore
6.20
自引率
4.30%
发文量
273
审稿时长
8 weeks
期刊介绍: ERJ Open Research is a fully open access original research journal, published online by the European Respiratory Society. The journal aims to publish high-quality work in all fields of respiratory science and medicine, covering basic science, clinical translational science and clinical medicine. The journal was created to help fulfil the ERS objective to disseminate scientific and educational material to its members and to the medical community, but also to provide researchers with an affordable open access specialty journal in which to publish their work.
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