Clinical characteristics and possible phenotypes of an adult severe asthma population

Background: Currently, there are no studies of well-characterized severe asthmatics in Brazil. We aimed to study a population of severe treated asthmatics still uncontrolled to characterize them and define possible phenotypes. Methods: Descriptive cross-sectional outpatient study of severe asthmatics, evaluating functional and inflammatory markers, health-related quality of life, anxiety and depression symptoms, clinical control status, and characteristics related to atopy, age of asthma onset, induced sputum eosinophil levels, and airflow limitation. We also grouped the subgroups characteristics to identify phenotypes. The study is registered on ClinicalTrial.gov NCT 01089322. Results: From 128 eligible patients with severe/uncontrolled asthma, 74 fulfilled the inclusion criteria. The cohort was comprised of 85% women, frequently with a body mass index higher than 31 kg m(-2), atopy (60%), early-onset disease (50%), sputum eosinophilia (80%), comorbidities, and reduced quality of life. Nonatopics had significant higher asthma onset (19 y.a.) and twice level of induced sputum eosinophil. Late-onset patients had significantly less atopy (57%) and higher levels of induced sputum eosinophils. Non-eosinophilics had lower levels of inflammatory markers. Patients with airflow limitation had more intensive care unit admissions (56%) and 1.5 times more airway resistance. Subgroups characteristics identified a priori four well-characterized phenotypes, with 55% presenting sputum eosinophilia. Conclusion: Our data emphasize the high burden of disease, the persistence of inflammation and the existence of clinical possible phenotypes population sharing common features with published cohorts. Despite the necessity of further investigation into pathogenic mechanisms, this study with clinically difficult patient group may help to improve future asthma care. (C) 2011 Elsevier Ltd. All rights reserved.

Prediction of tolerance in children with IgE mediated cow's milk allergy by microarray profiling and chemometric approach

The sera of a retrospective cohort (n = 41) composed of children with well characterized cow's milk allergy collected from multiple visits were analyzed using a protein microarray system measuring four classes of immunoglobulins. The frequency of the visits, age and gender distribution reflected real situation faced by the clinicians at a pediatric reference center for food allergy in 530 Paulo, Brazil. The profiling array results have shown that total IgG and IgA share similar specificity whilst IgM and in particular IgE are distantly related. The correlation of specificity of IgE and IgA is variable amongst the patients and this relationship cannot be used to predict atopy or the onset of tolerance to milk. The array profiling technique has corroborated the clinical selection criteria for this cohort albeit it clearly suggested that 4 out of the 41 patients might have allergies other than milk origin. There was also a good correlation between the array data and ImmunoCAP results, casein in particular. By using qualitative and quantitative multivariate analysis routines it was possible to produce validated statistical models to predict with reasonable accuracy the onset of tolerance to milk proteins. If expanded to larger study groups, the array profiling in combination with the multivariate techniques show potential to improve the prognostic of milk allergic patients. (C) 2012 Elsevier B.V. All rights reserved.