TITLE

CLINICAL PHENOTYPES OF SEVERE ASTHMA (BASED ON CLUSTER ANALYSIS)

AUTHOR(S)
Kharevich, O. N.; Lapteva, I. M.; Lapteva, E. A.; Koroleva, E. G.
PUB. DATE
September 2015
SOURCE
Vestnik Sankt-Peterburgskogo Universiteta, Seriia 11: Medicina;2015, Issue 2, p4
SOURCE TYPE
Academic Journal
DOC. TYPE
Abstract
ABSTRACT
The article presents the results of a study aimed to identify clinical phenotypes of severe asthma. The study involved 46 patients with severe asthma who were divided into 3 subgroups (phenotypes) using cluster analysis, patients in cluster 1 were characterized by younger age and earlier asthma onset, less pronounced decline of functional parameters, but high daily variability of peF and frequent exacerbations (phenotype of labile asthma with variable peF). cluster 2 included older patients with lateonset asthma, characterized by significant impairments in lung function, development of lung hyperinflation and reduced DLco (phenotype of asthma and copD overlap), patients in cluster 3 also had lateonset asthma and persistent obstructive disorders of ventilation, however, signs of hyperinflation and reduced DLco were less pronounced (phenotype of severe asthma with irreversible obstruction). Results of the study and analysis of literature data show that the presence of different phenotypes of severe asthma is associated with the heterogeneity of pathophysiological processes in this disease, which might result in a different response to therapy, simple and easytouse algorithm for differentiation of phenotypes was created by using the method of classification trees, which demonstrates practical importance of the use of multivariate statistical methods.
ACCESSION #
110378164

 

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