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  • Advances in Respiratory Medicine is published by MDPI from Volume 90 Issue 4 (2022). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Via Medica.
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28 June 2019

Predictors of Airway Hyperreactivity in House Dust Mite Allergic Patients

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1
Department of Allergology and Internal Medicine, Medical University of Bialystok, Skłodowskiej-Curie 24a, 15–276 Białystok, Poland
2
Department of Statistics and Medical Informatics, Medical University of Bialystok, Białystok, Poland
3
Department of Pediatrics, Gastroenterology, Hepatology, Nutrition and Allergology, Medical University of Bialystok, Białystok, Poland
4
Department of Experimental Allergology and Immunology, Medical University of Bialystok, Białystok, Poland

Abstract

Introduction: Airway hyperresponsiveness (AHR) is a cardinal feature of asthma. Asthma is a heterogenous disorder which consists of different phenotypes and endotypes. Mechanisms leading to AHR may differ in different asthma subtypes. Allergy to perennial allergens, including house dust mites (HDM) is a major risk factor for asthma development. The aim of this study was to determine predictors of AHR in a well-characterized population of HDM-allergic patients. Material and methods: In a retrospective analysis 843 patients with HDM-allergic rhinitis with/without asthma were evaluated. The following parameters were included in the analysis: serum concentration of total (t)- and Dermatophagoides pteronyssinus (Dp)-specific IgE, fractional exhaled nitric oxide concentration (FeNO), lung function tests, bronchial challenge with histamine, age sex, and body mass index (BMI). Linear regression analysis was used to determine predictors of AHR. Results: In a simple linear regression analysis baseline lung function results expressed as either forced expiratory volume in 1 s (FEV1) or maximal expiratory flow at 50% of the forced vital capacity (MEF50), FeNO, tIgE, DpIgE, age and BMI affected AHR. A multiple regression analysis demonstrated that in the whole group of HDM-allergic patients the most important, independent predictors of AHR were MEF50, FeNO and DpIgE. Conclusions: Even in a well-characterized asthma phenotype several processes participate in development of AHR. Major, independent predictors of AHR: lung function parameters, FeNO and DpIgE indicate possible targets for therapeutic intervention in a population of HDM-allergic patients.

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