ArticleJournal of asthma and allergy2020
Characteristics of Asthma-related Nocturnal Cough: A Potential New Digital Biomarker.
Article in Journal of asthma and allergy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Objective and Subjective Measurement of Cough in Asthma: A Systematic Review of the Literature.Lung · 2022Pooled it
- Predictive value of FeNO, eosinophils, and IgE for airway hyperresponsiveness in children with chronic cough: a cross-sectional study.BMC pediatrics · 2026Article
- The value of continuous cough monitoring: a narrative review.Journal of thoracic disease · 2025Review
- Respiratory-Responsive Vocal Biomarker for Asthma Exacerbation Monitoring: Prospective Cohort Study.Journal of medical Internet research · 2025Observational
- Using mHealth to Predict Asthma Exacerbations in Children and Adolescents (Mobile Health for Kids With Asthma): Protocol for an Observational Study.JMIR research protocols · 2025Article
- Asthma Symptom Self-Monitoring Methods for Children and Adolescents: Present and Future.Children (Basel, Switzerland) · 2025Review
- Digital Health for Asthma Management: Electronic Medication Monitoring for Adherence as a Case Example.The journal of allergy and clinical immunology. In practice · 2025Review
- Article
- Smartphone-based cough monitoring as a near real-time digital pneumonia biomarker.ERJ open research · 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
- Digital Phenotyping in Livestock Farming.Animals : an open access journal from MDPI · 2021Review
- Nocturnal Cough and Sleep Quality to Assess Asthma Control and Predict Attacks.Journal of asthma and allergy · 2020Article
- Applications of deep learning methods in digital biomarker research using noninvasive sensing data.Digital healthArticle
- Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research.Digital biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe nature of nocturnal cough is largely unknown. It might be a valid marker for asthma control but very few studies characterized it as a basis for better defining its role and its use as clinical marker. This study investigated prevalence and characteristics of nocturnal cough in asthmatics over the course of four weeks.
methodsIn two centers, 94 adult patients with physician-diagnosed asthma were recruited. Patient-reported outcomes and nocturnal sensor data were collected by a smartphone with a chat-based study app.
resultsPatients coughed in 53% of 2212 nights (range: 0-345 coughs/night). Median coughs per hour were 0 (IQR 0-1). Nocturnal cough rates showed considerable inter-individual variance. The highest counts were measured in the first 30 min in bed (4.5-fold higher than rest of night). Eighty-six percent of coughs were part of a cough cluster. Clusters consisted of a median of two coughs (IQR 2-4). Nocturnal cough was persistent within patient.
conclusionTo the best of the authors' knowledge, this study is the first to describe prevalence and characteristics of nocturnal cough in asthma over a period of one month, demonstrating that it was a prevalent symptom with large variance between patients and high persistence within patients. Cough events in asthmatics were 4.5 times more frequent within the first 30 min in bed indicating a potential role of positional change, and not more frequent during the early morning hours. An important next step will investigate the association between nocturnal cough and asthma control.
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Registered trials
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