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Predictors of airway hyperreactivity in house dust mite allergic patients.

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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… Click to show full 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. CONCLUSION 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.

Keywords: hdm allergic; predictors ahr; house dust; asthma; allergic patients; analysis

Journal Title: Advances in respiratory medicine
Year Published: 2019

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