Coutu Felix-Antoine, Iorio Olivia C, Nabavi Seyedfakhreddin, Hadid Amir, Jensen Dennis, Pamidi Sushmita, Xia Jianguo, Ross Bryan A
Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada; Department of Medicine, McGill University, Montreal, QC, Canada.
Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
EBioMedicine. 2024 Dec;110:105472. doi: 10.1016/j.ebiom.2024.105472. Epub 2024 Nov 22.
The most recent exacerbation of COPD (ECOPD) classification criteria relies in part on changes in respiratory rate (RR), heart rate (HR) and oxygen saturation (SpO). Despite this paradigm shift, a thorough understanding of exacerbation patterns is still lacking, as is the identification of physiological exacerbation biomarkers.
Using a convenience sampling approach, this prospective observational cohort study was conducted between February 2023 and January 2024. Continuous measurements of daytime/overnight respiratory (primary outcome), cardiovascular, autonomic, activity and sleep-related parameters were collected by a wearable biometric wristband and ring over 21 consecutive days in free-living outpatients experiencing and receiving treatment (≤3 days) for a current exacerbation from the home environment. The EXACT-PRO questionnaire served as the validated reference for daily symptom burden and to identify 'recovered' versus 'persistent worsening' participants. Unadjusted and adjusted (for age, sex, FEV) linear mixed-effects models were fitted to estimate associations between each physiological parameter with daily EXACT-PRO score (points, pts), in all, 'recovered', and 'persistent worsening' participants. Results are presented as point estimates with 95% CIs.
In 21 participants with COPD (43% female, mean age 66.8, BMI 27.7 kg/m, FEV 36.3% predicted; 85.7% with GOLD 3-4 disease), significant associations in unadjusted models with daily EXACT-PRO score included RR variability (-1.45 [-2.84, -0.073] pts/breath/min) but not RR, daily step count (-0.56 [-0.82, -0.31] pts/1000 steps), and sleep efficiency (-0.12 [-0.20, -0.037] pts/%asleep). In 'recovered' participants (n = 10), significant associations included nighttime HR, movement intensity and nightly SpO. In 'persistent worsening' participants (n = 11), significant associations included HR variability, nightly RR variability, nightly SpO, sleep efficiency, and skin temperature. Similar results were found in adjusted models.
This study provides a prospective continuous characterisation of exacerbations of COPD using remotely collected, ambulatory/free-living data. The physiological patterns presented may contribute to the understanding of exacerbations and may enhance the development of effective remote monitoring solutions.
University hospital (MUHC-CAS) grant.
慢性阻塞性肺疾病(COPD)最近一次加重(ECOPD)的分类标准部分依赖于呼吸频率(RR)、心率(HR)和血氧饱和度(SpO)的变化。尽管有这种范式转变,但对加重模式仍缺乏全面了解,生理加重生物标志物的识别也同样如此。
采用便利抽样方法,于2023年2月至2024年1月进行了这项前瞻性观察队列研究。在居家环境中正在经历并接受当前加重期治疗(≤3天)的门诊患者中,通过可穿戴生物识别腕带和指环连续21天收集白天/夜间呼吸(主要结局)、心血管、自主神经、活动和睡眠相关参数的连续测量值。EXACT - PRO问卷用作每日症状负担的有效参考,并用于识别“康复”与“持续恶化”的参与者。对未调整和调整(按年龄、性别、FEV)的线性混合效应模型进行拟合,以估计所有、“康复”和“持续恶化”参与者中每个生理参数与每日EXACT - PRO评分(分,pts)之间的关联。结果以点估计值和95%置信区间表示。
在21名COPD患者中(43%为女性,平均年龄66.8岁,BMI 27.7kg/m²,FEV为预测值的36.3%;85.7%为GOLD 3 - 4级疾病),未调整模型中与每日EXACT - PRO评分有显著关联的包括RR变异性(-1.45 [-2.84, -0.073] pts/呼吸/分钟),但不包括RR、每日步数(-0.56 [-0.82, -0.31] pts/1000步)和睡眠效率(-0.12 [-0.20, -0.037] pts/%睡眠)。在“康复”的参与者(n = 10)中,显著关联包括夜间心率、运动强度和夜间SpO。在“持续恶化”的参与者(n = 11)中,显著关联包括心率变异性、夜间RR变异性、夜间SpO、睡眠效率和皮肤温度。在调整模型中也发现了类似结果。
本研究使用远程收集的动态/自由生活数据对COPD加重进行了前瞻性连续表征。所呈现的生理模式可能有助于理解加重情况,并可能促进有效的远程监测解决方案的开发。
大学医院(MUHC - CAS)资助。