Literature DB >> 23047314

Asthma phenotypes.

Ian D Pavord1.   

Abstract

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. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2012        PMID: 23047314     DOI: 10.1055/s-0032-1326962

Source DB:  PubMed          Journal:  Semin Respir Crit Care Med        ISSN: 1069-3424            Impact factor:   3.119


  4 in total

1.  Understanding asthma phenotypes: the World Asthma Phenotypes (WASP) international collaboration.

Authors:  Lucy Pembrey; Mauricio L Barreto; Jeroen Douwes; Philip Cooper; John Henderson; Harriet Mpairwe; Cristina Ardura-Garcia; Martha Chico; Collin Brooks; Alvaro A Cruz; Alison M Elliott; Camila A Figueiredo; Sinéad M Langan; Beatrice Nassanga; Susan Ring; Laura Rodrigues; Neil Pearce
Journal:  ERJ Open Res       Date:  2018-08-22

2.  Effects of milk containing only A2 beta casein versus milk containing both A1 and A2 beta casein proteins on gastrointestinal physiology, symptoms of discomfort, and cognitive behavior of people with self-reported intolerance to traditional cows' milk.

Authors:  Sun Jianqin; Xu Leiming; Xia Lu; Gregory W Yelland; Jiayi Ni; Andrew J Clarke
Journal:  Nutr J       Date:  2016-04-02       Impact factor: 3.271

3.  Clinical profile of predefined asthma phenotypes in a large cohort of UK primary care patients (Clinical Practice Research Datalink).

Authors:  Francis Nissen; Ian J Douglas; Hana Müllerová; Neil Pearce; Chloe I Bloom; Liam Smeeth; Jennifer K Quint
Journal:  J Asthma Allergy       Date:  2019-01-08

Review 4.  The diagnosis of asthma. Can physiological tests of small airways function help?

Authors:  Mohammed A Almeshari; James Stockley; Elizabeth Sapey
Journal:  Chron Respir Dis       Date:  2021 Jan-Dec       Impact factor: 2.444

  4 in total

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