轻中度哮喘患者远程肺活量测定的依从性分析

C. Huang, P. Kelly, M. K. Ruddy, E. Izmailova, R. Ellis
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引用次数: 0

摘要

通过与智能手机应用程序连接的手持式肺活量计进行的远程肺活量测量作为一种方便的数据收集技术,已经越来越受到患者的关注。此外,这种方法提供了比临床访问更频繁的数据,并允许研究人员通过增加统计自由度来控制数据变异性(日变化,季节/环境变化)。此外,哮喘和COPD患者的远程和临床肺活量测定数据具有可比性。在2019冠状病毒病大流行期间,远程评估的需求变得更加迫切,医护人员被敦促将诊所就诊次数降到绝对最低,以尽量减少患者感染的风险。然而,对远程肺活量测量方式与患者依从性相关的担忧仍然有效:患者是否会在无人监督的情况下远程进行肺活量测量操作?方法:我们分析了美国进行的2项轻中度哮喘患者临床试验和英国进行的1项临床试验的远程肺活量测定依从性数据。前者是为期28天的单中心研究,招募了32名受试者。后者是一项多中心研究,招募了39名受试者,为期5-6个月;然而,为了与其他研究的时间框架相匹配,只分析了前28天的治疗数据。研究对象接受了实验和标准护理治疗。所有研究对象被要求每天在家进行两次肺功能测试,并接受手持式肺活计、专用智能手机以及如何远程执行肺活量测定操作的培训。所有研究都部署了与智能手机应用同步的移动肺活量计设备。患者被要求在预定的时间窗(早晨和晚上)提供肺活量测定数据。依从率计算为肺功能测试的百分比,包括每天两次至少2次完整的操作,而不是研究中每天两次。结果3项研究中每日两次的数据依从性为88.9%,在规定的时间窗内进行肺活量测定操作的依从性为85%,研究期间无遗漏日的依从性为83%。此外,我们分析了所有研究中随时间变化的依从性受试者的数量:依从性受试者的数量在28天内没有下降。此外,按时间和工作日/周末分层的依从性分析显示,依从性没有差异。结论本研究结果显示远程肺活量数据采集28天依从性良好,表明远程肺活量数据采集在哮喘患者多中心临床试验中是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compliance Analysis for Remote Spirometry in Subjects with Mild to Moderate Asthma
RATIONALE Remote spirometry measures performed by means of handheld spirometers connected to smartphone applications have gained increased attention as a convenient data collection technique for patients. Additionally, this method provides more frequent data than clinical visits and allows researchers to control for data variability (diurnal variation, seasonal/environmental changes) by increasing statistical degrees of freedom. Moreover, remote and clinic spirometry data was shown to be comparable in patients with asthma and COPD. The need for remote assessments became more acute during the COVID-19 pandemic when healthcare professionals were urged to keep clinic visits to an absolute minimum to minimize the risk of infection to patients. However, a concern about remote spirometry modality is related to patient compliance remains valid: will patients perform spirometry maneuvers remotely while unsupervised? METHODS We analyzed remote spirometry compliance data from 2 clinical trials of patients with mild to moderate asthma conducted in the US and 1 in the UK. The former were single centers studies of 28-day duration and recruited 32 subjects. The latter was a multicenter study which recruited 39 subjects for 5-6 months;however only the first 28-day treatment data was analyzed to match the timeframe of the other studies. The study subjects received both experimental and standard of care treatments. All study subjects were instructed to perform pulmonary function tests at home twice daily, received a handheld spirometer, a dedicated smart phone along with training how to perform spirometry maneuvers remotely. All studies deployed mobile spirometer devices that synchronize with the smartphone application. Patients were asked to contribute spirometry data at predefined time windows (morning and evening). Compliance rates were calculated as a percentage of pulmonary function tests comprising a minimum of 2 complete maneuvers twice daily versus twice days on study. RESULTS The twice daily data compliance across three studies was 88.9%, the compliance for performing spirometry maneuvers within the specified time windows was 85% and compliance for no missing day during the study period was 83%. Additionally, we analyzed the number of compliant subjects over time across all studies: the number of compliant subjects did not decline over the period of 28 days. Moreover, the compliance analysis stratified by the time of the day and weekday/weekend demonstrated no difference in compliance. CONCLUSIONS Our results demonstrate good compliance for remote spirometry data collection for 28-day period indicating that remote spirometry data collection is feasible in the multi-center clinical trials recruiting asthma patients. .
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