Longitudinal passive cough monitoring and its implications for detecting changes in clinical status. Issue 2 (16th May 2022)
- Record Type:
- Journal Article
- Title:
- Longitudinal passive cough monitoring and its implications for detecting changes in clinical status. Issue 2 (16th May 2022)
- Main Title:
- Longitudinal passive cough monitoring and its implications for detecting changes in clinical status
- Authors:
- Gabaldón-Figueira, Juan C.
Keen, Eric
Rudd, Matthew
Orrilo, Virginia
Blavia, Isabel
Chaccour, Juliane
Galvosas, Mindaugas
Small, Peter
Grandjean Lapierre, Simon
Chaccour, Carlos - Abstract:
- 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. When compared to continuous monitoring, limiting observation to 24 h can lead to inaccurate estimates of change in cough frequency, influenced by itsResearch 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. When compared to continuous monitoring, limiting observation to 24 h can lead to inaccurate estimates of change in cough frequency, influenced by its mean frequency and variance. This is important when evaluating small changes in cough frequency. https://bit.ly/3NtfPw1 … (more)
- Is Part Of:
- ERJ open research. Volume 8:Issue 2(2022)
- Journal:
- ERJ open research
- Issue:
- Volume 8:Issue 2(2022)
- Issue Display:
- Volume 8, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 8
- Issue:
- 2
- Issue Sort Value:
- 2022-0008-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-16
- Subjects:
- Respiratory organs -- Diseases -- Periodicals
Respiration -- Periodicals
Respiration
Respiratory organs -- Diseases
Respiratory organs -- Diseases -- Treatment
Respiratory Tract Diseases
Electronic journals
Fulltext
Internet Resources
Periodicals
Periodical
616.2005 - Journal URLs:
- http://openres.ersjournals.com/ ↗
http://bibpurl.oclc.org/web/76947 ↗ - DOI:
- 10.1183/23120541.00001-2022 ↗
- Languages:
- English
- ISSNs:
- 2312-0541
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24759.xml