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Allergol Immunopathol (Madr) ; 49(2): 60-65, 2021.
Article in English | MEDLINE | ID: mdl-33641295

ABSTRACT

INTRODUCTION AND OBJECTIVES: Relationship between the causal mechanisms of pediatric severe asthma and severity of symptoms would be helpful for developing personalized strategies for treatment and prevention. MATERIALS AND METHODS: For this study, 698 medical histories of asthmatics between 6 and 18 years of age were reviewed in a period of 2 years. Variables analyzed were: age, sex, ethnicity, perinatological history, allergy history, asthma predictive index (API), exposure to tobacco, heavy traffic or epithelium, lung function, age of onset of symptoms, hospitalization admissions/PICU, systemic corticosteroids, daily symptoms control, device prescribe for daily control, and adherence. RESULTS: A total of 86 children with severe asthma were included (12.3%). Mean age 13.3 +/- 1.86 years, sex ratio1:1, mean age of symptom onset 2.765 +/- 3.06 years, mean IgE 1076.18KU / L +/- 1136, mean eosinophils 604c / mcl +/- 511.9, mean of FEV1 93.15% +/- 16.3. Evidently, 70 children (81.4%) had positive API, 68 (79.1%) rhinitis, 34 (39.5%) atopic dermatitis. 73 (83.9%) sensitized to inhalants and 56 (65.1%) to dermatophagoides, 39 (45.3%) passive smokers, 19 (22.1%) exposure to heavy traffic; 55 (64%) showed symptoms with exercise, 35 (40.7%) had audible wheezing. The mean systemic corticosteroid cycles/year was 3.63 +/- 3.23, mean PICU admissions 0.36 +/- 0.83, mean hospital admissions 4.31 +/- 5.3, average emergency room visits/year 19.44 +/- 16.28. 38 (56.7%) had good adherence, 44 (51%) used an MDI device and 39 (45.3%) used dry powder. CONCLUSIONS: Children with severe asthma meet the following criteria: premature, positive API, rhinitis, atopic dermatitis, high IgE, eosinophilia, passive smokers, exposure to heavy traffic, decreased lung function, and low adherence to controller medication.


Subject(s)
Anti-Asthmatic Agents/therapeutic use , Asthma/diagnosis , Dermatitis, Atopic/epidemiology , Eosinophils/immunology , Rhinitis, Allergic, Perennial/epidemiology , Adolescent , Asthma/blood , Asthma/drug therapy , Asthma/immunology , Child , Dermatitis, Atopic/immunology , Female , Humans , Leukocyte Count , Male , Medication Adherence/statistics & numerical data , Rhinitis, Allergic, Perennial/immunology , Risk Factors , Severity of Illness Index , Tobacco Smoke Pollution/adverse effects , Tobacco Smoke Pollution/statistics & numerical data
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