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Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis

Although cough is a common respiratory symptom, determining its cause is challenging. We aimed to explore how cough severity and characteristics vary with different etiologies, while investigating their interrelations with demographic features. Adult patients (n = 220) with chronic cough and complet...

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Autores principales: Kang, Jieun, Moon, Ji-Yong, Kim, Deog Kyeom, Kim, Jin Woo, Jang, Seung Hun, Koo, Hyeon-Kyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455312/
https://www.ncbi.nlm.nih.gov/pubmed/37629425
http://dx.doi.org/10.3390/jcm12165383
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author Kang, Jieun
Moon, Ji-Yong
Kim, Deog Kyeom
Kim, Jin Woo
Jang, Seung Hun
Koo, Hyeon-Kyoung
author_facet Kang, Jieun
Moon, Ji-Yong
Kim, Deog Kyeom
Kim, Jin Woo
Jang, Seung Hun
Koo, Hyeon-Kyoung
author_sort Kang, Jieun
collection PubMed
description Although cough is a common respiratory symptom, determining its cause is challenging. We aimed to explore how cough severity and characteristics vary with different etiologies, while investigating their interrelations with demographic features. Adult patients (n = 220) with chronic cough and completed diagnostic work-up and the COugh Assessment Test were enrolled. A correlation network analysis was used to examine the associations between the demographic features and cough severity/characteristics across various etiologies such as upper airway cough syndrome, asthma, eosinophilic bronchitis, gastroesophageal reflux disease (GERD), and idiopathic cough. Demographic features like age and sex showed complex associations with cough characteristics and severity. Cough severity decreased with age, especially in cases of eosinophilic bronchitis and GERD. Women with eosinophilic bronchitis reported more severe cough, while men with idiopathic cough reported more severe cough. Asthma was significantly linked to more sleep disturbance and fatigue, independent of age and sex, whereas GERD showed less sleep disturbance and fatigue. Network analysis revealed overall close associations between cough characteristics, though hypersensitivity in asthma and sleep disturbance in GERD were not linked with other cough traits. In conclusion, the demographic features and cough characteristics were interrelated, exhibiting distinct patterns based on the etiology.
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spelling pubmed-104553122023-08-26 Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis Kang, Jieun Moon, Ji-Yong Kim, Deog Kyeom Kim, Jin Woo Jang, Seung Hun Koo, Hyeon-Kyoung J Clin Med Article Although cough is a common respiratory symptom, determining its cause is challenging. We aimed to explore how cough severity and characteristics vary with different etiologies, while investigating their interrelations with demographic features. Adult patients (n = 220) with chronic cough and completed diagnostic work-up and the COugh Assessment Test were enrolled. A correlation network analysis was used to examine the associations between the demographic features and cough severity/characteristics across various etiologies such as upper airway cough syndrome, asthma, eosinophilic bronchitis, gastroesophageal reflux disease (GERD), and idiopathic cough. Demographic features like age and sex showed complex associations with cough characteristics and severity. Cough severity decreased with age, especially in cases of eosinophilic bronchitis and GERD. Women with eosinophilic bronchitis reported more severe cough, while men with idiopathic cough reported more severe cough. Asthma was significantly linked to more sleep disturbance and fatigue, independent of age and sex, whereas GERD showed less sleep disturbance and fatigue. Network analysis revealed overall close associations between cough characteristics, though hypersensitivity in asthma and sleep disturbance in GERD were not linked with other cough traits. In conclusion, the demographic features and cough characteristics were interrelated, exhibiting distinct patterns based on the etiology. MDPI 2023-08-18 /pmc/articles/PMC10455312/ /pubmed/37629425 http://dx.doi.org/10.3390/jcm12165383 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kang, Jieun
Moon, Ji-Yong
Kim, Deog Kyeom
Kim, Jin Woo
Jang, Seung Hun
Koo, Hyeon-Kyoung
Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title_full Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title_fullStr Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title_full_unstemmed Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title_short Cough Characteristics and Their Association Patterns According to Cough Etiology: A Network Analysis
title_sort cough characteristics and their association patterns according to cough etiology: a network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455312/
https://www.ncbi.nlm.nih.gov/pubmed/37629425
http://dx.doi.org/10.3390/jcm12165383
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