ArticleBMJ open2019
Prevalence of nocturnal cough in asthma and its potential as a marker for asthma control (MAC) in combination with sleep quality: protocol of a smartphone-based, multicentre, longitudinal observational study with two stages.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03635710 (Measuring the Prevalence of Nocturnal Cough in Asthmatics by Means of Smartphone-enabled Acoustic Recording and Evaluating the Potential of Nocturnal Cough Rate as a Prognostic Marker for Asthma Control), which is not on this map. Cited by 11 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Measuring the Prevalence of Nocturnal Cough in Asthmatics by Means of Smartphone-enabled Acoustic Recording and Evaluating the Potential of Nocturnal Cough Rate as a Prognostic Marker for Asthma Control: An Observational Two-Stage Study
Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- Investigating Rewards and Deposit Contract Financial Incentives for Physical Activity Behavior Change Using a Smartphone App: Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- The impact of sleep quality on asthma incidence in middle-aged and older adults: evidence from a prospective cohort study.Frontiers in public health · 2025Article
- Human cues in eHealth to promote lifestyle change: An experimental field study to examine adherence to self-help interventions.Internet interventions · 2024Article
- Nighttime Continuous Contactless Smartphone-Based Cough Monitoring for the Ward: Validation Study.JMIR formative research · 2023Article
- Development of "LvL UP 1.0": a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders.Frontiers in digital health · 2023Article
- Validation of a small cough detector.ERJ open research · 2023Article
- Chronic cough-the limitation and advances in assessment techniques.Journal of thoracic disease · 2022Review
- Feasibility and clinical utility of ambulatory cough monitoring in an outpatient clinical setting: a real-world retrospective evaluation.ERJ open research · 2021Article
- Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study.Journal of medical Internet research · 2020Article
- Nocturnal Cough and Sleep Quality to Assess Asthma Control and Predict Attacks.Journal of asthma and allergy · 2020Article
- Characteristics of Asthma-related Nocturnal Cough: A Potential New Digital Biomarker.Journal of asthma and allergy · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNocturnal cough is a burdensome asthma symptom. However, knowledge about the prevalence of nocturnal cough in asthma is limited. Furthermore, prior research has shown that nocturnal cough and impaired sleep quality are associated with asthma control, but the association between these two symptoms remains unclear. This study further investigates the potential of these symptoms as markers for asthma control and the accuracy of automated, smartphone-based passive monitoring for nocturnal cough detection and sleep quality assessment. METHODS AND ANALYSIS: The study is a multicentre, longitudinal observational study with two stages. Sensor and questionnaire data of 94 individuals with asthma will be recorded for 28 nights by means of a smartphone. On the first and the last study day, a participant's asthma will be clinically assessed, including spirometry and fractionated exhaled nitric oxide levels. Asthma control will be assessed by the Asthma Control Test and sleep quality by means of the Pittsburgh Sleep Quality Index. In addition, nocturnal coughs from smartphone microphone recordings will be labelled and counted by human annotators. Relatively unrestrictive eligibility criteria for study participation are set to support external validity of study results. Analysis of the first stage is concerned with the prevalence and trends of nocturnal cough and the accuracies of smartphone-based automated detection of nocturnal cough and sleep quality. In the second stage, patient-reported asthma control will be predicted in a mixed effects regression model with nocturnal cough frequencies and sleep quality of past nights as the main predictors. ETHICS AND DISSEMINATION: The study was reviewed and approved by the ethics commission responsible for research involving humans in eastern Switzerland (BASEC ID: 2017-01872). All study data will be anonymised on study termination. Results will be published in medical and technical peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03635710; Pre-results.
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