Identification of Asthma Subtypes Using Clustering Methodologies.
File(s)
Author(s)
Deliu, M
Sperrin, M
Belgrave, D
Custovic, A
Type
Journal Article
Abstract
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.
Date Issued
2016-06-22
Date Acceptance
2016-04-28
Citation
Pulmonary Therapy, 2016, 2, pp.19-41
ISSN
2364-1754
Publisher
Springer
Start Page
19
End Page
41
Journal / Book Title
Pulmonary Therapy
Volume
2
Copyright Statement
© The Author(s) 2016. This article is published with open access at Springerlink.com
License URL
Sponsor
Medical Research Council (MRC)
Identifier
PII: 17
Grant Number
MR/K002449/1
Subjects
Adult asthma
Asthma
Clustering
Endotypes
Paediatric asthma
Phenotypes
Publication Status
Published