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首页> 外文期刊>Respiratory Research >Cluster analysis in 975 patients with current cough identifies a phenotype with several cough triggers, many background disorders, and low quality of life
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Cluster analysis in 975 patients with current cough identifies a phenotype with several cough triggers, many background disorders, and low quality of life

机译:975例当前咳嗽患者的聚类分析鉴定了几种咳嗽触发器的表型,许多背景疾病,以及低的生活质量

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BACKGROUND:Recognition of disorder phenotypes may help to estimate prognosis and to guide the clinical management. Current cough management guidelines classify patients according to the duration of the cough episode. However, this classification is not based on phenotype analyses. The present study aimed to identify cough phenotypes by clustering.METHODS:An email survey among employed, working-age subjects identified 975 patients with current cough. All filled in a comprehensive 80-item questionnaire including the Leicester Cough Questionnaire. Phenotypes were identified utilizing K-means partitional clustering. A subgroup filled in a follow-up questionnaire 12?months later to investigate the possible differences in the prognosis between the phenotypes.RESULTS:Two clusters were found. The cluster A included 608 patients (62.4% of the population) and the cluster B 367 patients (37.6%). The three most important variables to separate the clusters were the number of the triggers of cough (mean 2.63 (SD 2.22) vs. 6.95 (2.30), respectively, p??0.001), the number of the cough background disorders (chronic rhinosinusitis, current asthma, gastroesophageal reflux disease, 0.29 (0.50) vs. 1.28 (0.75), respectively, p??0.001), and the Leicester Cough Questionnaire physical domain (5.33 (0.76) vs. 4.25 (0.84), respectively, p??0.001). There were significant interrelationships between these three variables (each p??0.001). Duration of the episode was not among the most important variables to separate the clusters. At 12?months, 27.0% of the patients of the cluster A and 46.1% of the patients of the cluster B suffered from cough that had continued without interruptions from the first survey (p??0.001).CONCLUSIONS:Two cough phenotypes could be identified. Cluster A represents phenotype A, which includes the majority of patients and has a tendency to heal by itself. The authors propose that cluster B represents phenotype TBQ (Triggers, Background disorders, Quality of life impairment). Given the poor prognosis of this phenotype, it urges a prompt and comprehensive clinical evaluation regardless of the duration of the cough episode.
机译:背景:疾病表型的识别可能有助于估计预后并指导临床管理。目前咳嗽管理指南根据咳嗽集的持续时间分类患者。然而,这种分类不是基于表型分析。本研究旨在通过聚类鉴定咳嗽表型。方法:采用的电子邮件调查,工作年龄科目确定了975名患有目前咳嗽的患者。全部填写了一个全面的80项问卷,包括莱斯特咳嗽问卷。利用K-Means自行聚类确定表型。填写后续调查问卷12的子群体12月后,调查表型之间的预后可能的差异。结果:发现了两个集群。聚类A包括608名患者(人口62.4%)和群367名患者(37.6%)。分离群集的三个最重要的变量是咳嗽触发的数量(平均2.63(SD 2.22)与6.95(2.30),P?<0.001),咳嗽背景障碍的数量(慢性鼻窦炎,目前的哮喘,胃食管反流疾病,0.29(0.50)与1.28(0.75),p?<0.001)和Leicester咳嗽问卷物理结构域(5.33(0.76)与4.25(0.84),p ?<?0.001)。这三个变量之间存在显着的相互关系(每个P?<?0.001)。剧集的持续时间不是最重要的变量来分离群集。在12个月中,27.0%的聚类患者A和46.1%的群体B患者遭受咳嗽,这些咳嗽仍在没有中断的第一次调查(p?<0.001)。结论:两个咳嗽表型可以被识别。簇A代表表型A,其中包括大多数患者,并且具有自身愈合的趋势。作者提出群集B代表表型TBQ(触发,背景疾病,寿命损伤质量)。鉴于这种表型的预后差,它促使迅速和全面的临床评估,无论咳嗽集的持续时间如何。

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