Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.
Department of Respiratory Sciences, University of Leicester, Leicester, UK.
Respir Res. 2022 Apr 26;23(1):102. doi: 10.1186/s12931-022-02018-5.
The use of vital signs monitoring in the early recognition of an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) post-hospital discharge is limited. This study investigated whether continuous vital signs monitoring could predict an AECOPD and readmission.
35 people were recruited at discharge following hospitalisation for an AECOPD. Participants were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks and to complete the Exacerbations of Chronic Pulmonary Disease Tool (EXACT), a 14-item symptom diary, daily. The Equivital LifeMonitor recorded respiratory rate (RR), heart rate (HR), skin temperature (ST) and physical activity (PA) every 15-s. An AECOPD was classified as mild (by EXACT score), moderate (prescribed oral steroids/antibiotics) or severe (hospitalisation).
Over the 6-week period, 31 participants provided vital signs and symptom data and 14 participants experienced an exacerbation, of which, 11 had sufficient data to predict an AECOPD. HR and PA were associated with EXACT score (p < 0.001). Three days prior to an exacerbation, RR increased by mean ± SD 2.0 ± 0.2 breaths/min for seven out of 11 exacerbations and HR increased by 8.1 ± 0.7 bpm for nine of these 11 exacerbations.
Increased heart rate and reduced physical activity were associated with worsening symptoms. Even with high-resolution data, the variation in vital signs data remains a challenge for predicting AECOPDs. Respiratory rate and heart rate should be further explored as potential predictors of an impending AECOPD.
ISRCTN registry; ISRCTN12855961. Registered 07 November 2018-Retrospectively registered, https://www.isrctn.com/ISRCTN12855961.
在出院后识别慢性阻塞性肺疾病(COPD)急性加重(AECOPD)中,生命体征监测的应用有限。本研究探讨了连续生命体征监测是否可以预测 AECOPD 和再入院。
35 名患者在因 AECOPD 住院后出院时被招募。要求参与者在清醒时佩戴 Equivital LifeMonitor 佩戴 6 周,并每天使用包含 14 个症状的慢性肺病加重工具(EXACT)填写症状日记。Equivital LifeMonitor 每 15 秒记录一次呼吸频率(RR)、心率(HR)、皮肤温度(ST)和体力活动(PA)。AECOPD 按 EXACT 评分分类为轻度(评分)、中度(口服类固醇/抗生素)或重度(住院)。
在 6 周期间,有 31 名参与者提供了生命体征和症状数据,有 14 名参与者经历了加重,其中 11 名参与者有足够的数据来预测 AECOPD。HR 和 PA 与 EXACT 评分相关(p < 0.001)。在加重前 3 天,11 次加重中有 7 次 RR 平均增加了 2.0 ± 0.2 次/分钟,9 次加重中有 8.1 ± 0.7 bpm 增加了 HR。
心率升高和体力活动减少与症状恶化有关。即使有高分辨率数据,生命体征数据的变化仍然是预测 AECOPD 的一个挑战。RR 和 HR 应进一步探讨作为即将发生的 AECOPD 的潜在预测因子。
ISRCTN 注册表;ISRCTN12855961。2018 年 11 月 7 日注册-回顾性注册,https://www.isrctn.com/ISRCTN12855961。