ArticlePloS one2023
Clinical phenotypes of chronic cough categorised by cluster analysis.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Bridging Clinical Phenotypes and Histopathological Endotypes in Refractory Chronic Cough.Journal of clinical medicine · 2026Article
- Treatment response trajectories for speech pathology intervention in chronic cough.ERJ open research · 2026Article
- Female predominance in chronic cough: biological sex-related factors, mechanisms, and therapeutic targets-a narrative review.Frontiers in medicine · 2026Review
- Observational
- Clinical characteristics of the early responders in the treatment of chronic cough.Journal of thoracic disease · 2025Article
- Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients.PloS one · 2024Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic cough is a heterogeneous disease with various aetiologies that are difficult to determine. Our study aimed to categorise the phenotypes of chronic cough.
methodsAdult patients with chronic cough were assessed based on the characteristics and severity of their cough using the COugh Assessment Test (COAT) and the Korean version of the Leicester Cough Questionnaire. A cluster analysis was performed using the K-prototype, and the variables to be included were determined using a correlation network.
resultsIn total, 255 participants were included in the analysis. Based on the correlation network, age, score for each item, and total COAT score were selected for the cluster analysis. Four clusters were identified and characterised as follows: 1) elderly with mild cough, 2) middle-aged with less severe cough, 3) relatively male-predominant youth with severe cough, and 4) female-predominant elderly with severe cough. All clusters had distinct demographic and symptomatic characteristics and underlying causes.
conclusionsCluster analysis of age, score for each item, and total COAT score identified 4 distinct phenotypes of chronic cough with significant differences in the aetiologies. Subgrouping patients with chronic cough into homogenous phenotypes could provide a stratified medical approach for individualising diagnostic and therapeutic strategies.
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