Document Detail

Asthma phenotypes.
MedLine Citation:
PMID:  23047314     Owner:  NLM     Status:  In-Data-Review    
The identification of phenotypes of asthma has a long history, but previous classifications have not identified clinically important differences in pathology, natural history, or treatment response. Progress has accelerated recently, fueled by the development of new techniques to assess airway disease, particularly noninvasive techniques to assess airway inflammation. This article discusses evidence that a simple subdivision of patients into eosinophilic and noneosinophilic asthma is clinically important because it identifies groups with markedly different responses to corticosteroids and other drugs that manipulate the Th-2 (T-helper) pathway. All classification systems suffer from potential bias given that different disease variables are subjectively weighted. There has been increasing interest in the application of mathematical techniques such as factor analysis and cluster analysis to organize and group large amounts of interrelated data in an unbiased way. This article discusses attempts to do this in asthma and speculates on the clinical implications of this new information.
Ian D Pavord
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Publication Detail:
Type:  Journal Article     Date:  2012-10-09
Journal Detail:
Title:  Seminars in respiratory and critical care medicine     Volume:  33     ISSN:  1098-9048     ISO Abbreviation:  Semin Respir Crit Care Med     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-10-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9431858     Medline TA:  Semin Respir Crit Care Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  645-52     Citation Subset:  IM    
Copyright Information:
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.
Department of Respiratory Medicine, Thoracic Surgery, and Allergy, Institute for Lung and Health, Glenfield Hospital, Leicester, United Kingdom.
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