Longitudinal passive cough monitoring and its implications for detecting changes in clinical status
Longitudinal passive cough monitoring and its implications for detecting changes in clinical status
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DOI：
10.1183/23120541.00001-2022
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发表时间：
2022-04-01
影响因子：
4.6
通讯作者：
Chaccour, Carlos
中科院分区：
文献类型：
--
作者：
Gabaldon-Figueira, Juan C.;Keen, Eric;Chaccour, Carlos
研究问题咳嗽监测的持续时间对其检测咳嗽频率变化的准确性有何影响？材料与方法这是一项前瞻性队列研究的统计分析。参与者在潘普洛纳市（西班牙北方）招募，使用基于智能手机的声学人工智能软件被动监测他们的咳嗽频率。咳嗽频率的差异进行了比较，使用单尾曼-惠特尼U检验和随机化程序，以模拟24小时monitoring.Results 616参与者进行了监测，累计持续时间超过9人年，登记62 325咳嗽。这个经验分析发现，一个人的咳嗽模式是随机的，遵循二项分布。与连续监测相比，将观察时间限制在24小时内可能会导致对咳嗽频率变化的估计不准确，特别是在频率变化较低或较小的人群中。解释检测个体咳嗽频率的变化是复杂的，因为在几天内和几天之间存在显著的随机变化。仅根据间歇性采样（包括24小时）评估变化可能会产生误导。这在检测咳嗽模式中具有低速率和/或高变化的个体的小变化时尤其成问题。
Research question What is the impact of the duration of cough monitoring on its accuracy in detecting changes in the cough frequency?Materials and methods This is a statistical analysis of a prospective cohort study. Participants were recruited in the city of Pamplona (Northern Spain), and their cough frequency was passively monitored using smartphone-based acoustic artificial intelligence software. Differences in cough frequency were compared using a one-tailed Mann-Whitney U test and a randomisation routine to simulate 24-h monitoring.Results 616 participants were monitored for an aggregated duration of over 9 person-years and registered 62 325 coughs. This empiric analysis found that an individual's cough patterns are stochastic, following a binomial distribution. When compared to continuous monitoring, limiting observation to 24 h can lead to inaccurate estimates of change in cough frequency, particularly in persons with low or small changes in rate.Interpretation Detecting changes in an individual's rate of coughing is complicated by significant stochastic variability within and between days. Assessing change based solely on intermittent sampling, including 24-h, can be misleading. This is particularly problematic in detecting small changes in individuals who have a low rate and/or high variance in cough pattern.