Kang Jieun, Moon Ji-Yong, Kim Deog Kyeom, Kim Jin Woo, Jang Seung Hun, Koo Hyeon-Kyoung
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang 10380, Republic of Korea.
Department of Internal Medicine, Hanyang University College of Medicine, Guri 11923, Republic of Korea.
J Clin Med. 2023 Aug 18;12(16):5383. doi: 10.3390/jcm12165383.
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 ( = 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.
尽管咳嗽是一种常见的呼吸道症状，但确定其病因具有挑战性。我们旨在探讨咳嗽严重程度和特征如何随不同病因而变化，同时研究它们与人口统计学特征的相互关系。纳入了220例完成诊断检查和咳嗽评估测试的慢性咳嗽成年患者。采用相关网络分析来检验各种病因（如鼻后滴漏综合征、哮喘、嗜酸性粒细胞性支气管炎、胃食管反流病（GERD）和特发性咳嗽）的人口统计学特征与咳嗽严重程度/特征之间的关联。年龄和性别等人口统计学特征与咳嗽特征和严重程度呈现出复杂的关联。咳嗽严重程度随年龄增长而降低，尤其是在嗜酸性粒细胞性支气管炎和GERD病例中。患有嗜酸性粒细胞性支气管炎的女性报告咳嗽更严重，而患有特发性咳嗽的男性报告咳嗽更严重。哮喘与更多的睡眠障碍和疲劳显著相关，与年龄和性别无关，而GERD的睡眠障碍和疲劳较少。网络分析显示咳嗽特征之间总体存在密切关联，尽管哮喘的超敏反应和GERD的睡眠障碍与其他咳嗽特征无关。总之，人口统计学特征和咳嗽特征相互关联，根据病因呈现出不同的模式。
