Identification of Asthma Subtypes Using Clustering Methodologies.
Identification of Asthma Subtypes Using Clustering Methodologies.
复制标题
使用聚类方法识别哮喘亚型。
DOI：
10.1007/s41030-016-0017-z
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发表时间：
2016
影响因子：
3
通讯作者：
Deliu M
中科院分区：
文献类型：
--
作者：
Deliu M
哮喘是一种异质性疾病，包括许多亚型，这些亚型可能由不同的病理生理机制（有时称为内源型）引起，但可能具有相似的观察特征（表型）。在成人和儿科人群中使用无监督聚类已经基于可观察到的特征（如症状、肺功能、特应性、嗜酸性粒细胞增多、肥胖和发病年龄）确定了哮喘亚型。在这里，我们描述了不同的聚类方法，并展示了它们对我们理解哮喘综合征谱的贡献。准确识别哮喘亚型及其病理生理机制可能导致患者分层，从而实现更精确的治疗和预防方法。
Asthma is a heterogeneous disease comprising a number of subtypes which may be caused by different pathophysiologic mechanisms (sometimes referred to as endotypes) but may share similar observed characteristics (phenotypes). The use of unsupervised clustering in adult and paediatric populations has identified subtypes of asthma based on observable characteristics such as symptoms, lung function, atopy, eosinophilia, obesity, and age of onset. Here we describe different clustering methods and demonstrate their contributions to our understanding of the spectrum of asthma syndrome. Precise identification of asthma subtypes and their pathophysiological mechanisms may lead to stratification of patients, thus enabling more precise therapeutic and prevention approaches.