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Purpose: Asthma and chronic obstructive pulmonary disease (COPD) are complex and heterogeneous inflammatory diseases. We sought to investigate distinct disease profiles based on clinical, cellular and molecular data from patients with mild-to-moderate obstructive pulmonary diseases.
Patients and Methods: Patients with mild-to-moderate allergic asthma (n=30) and COPD (n=30) were prospectively recruited. Clinical characteristics and induced sputum were collected. In total, 35 mediators were assessed in induced sputum. Logistic regression analysis was conducted to identify the optimal factors that were able to discriminate between asthma and COPD. Further, the data were explored using hierarchical clustering in order to discover and compare clusters of combined samples of asthma and COPD patients. Clinical parameters, cellular composition, and sputum mediators of asthma and COPD were assessed between and within obtained clusters. ....

United States , Waals Gewest , Eteläuomen Läi , Biomedica Medizinprodukte Gmb , Global Initiative For Chronic Obstructive Lung Disease , American Thoracic Society European Respiratory , University Of Warsaw , Statsoft Inc , R Foundation For Statistical Computing , Global Initiative For Asthma , Medical University , Global Initiative , Chronic Obstructive Lung , Port Washington , Ethics Committee , American Thoracic , European Respiratory Society , Elecsys Ige , Roche Diagnostics Gmbh , Bio Plex Pro , Human Cytokine , Bio Rad Laboratories , Demeditec Diagnostics Gmbh , Biomedica Medizinprodukte Gmbh , Whitneyu Test , Statistical Computing ,