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Biomarkers for the diagnosis, treatment and follow‐up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice. The digital transformation of health and health care...
Introduction
Data from mHealth apps can provide valuable information on rhinitis control and treatment patterns. However, in MASK‐air®, these data have only been analyzed cross‐sectionally, without considering the changes of symptoms over time. We analyzed data from MASK‐air® longitudinally, clustering weeks according to reported rhinitis symptoms.
Methods
We analyzed MASK‐air® data, assessing...
Background
Different treatments exist for allergic rhinitis (AR), including pharmacotherapy and allergen immunotherapy (AIT), but they have not been compared using direct patient data (i.e., “real‐world data”). We aimed to compare AR pharmacological treatments on (i) daily symptoms, (ii) frequency of use in co‐medication, (iii) visual analogue scales (VASs) on allergy symptom control considering...
Background
Co‐medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis‐related search patterns in Google Trends. This study aims to assess AR co‐medication and its regional patterns in Europe, using real‐world data.
Methods
We analysed...
Background
Validated combined symptom‐medication scores (CSMSs) are needed to investigate the effects of allergic rhinitis treatments. This study aimed to use real‐life data from the MASK‐air® app to generate and validate hypothesis‐ and data‐driven CSMSs.
Methods
We used MASK‐air® data to assess the concurrent validity, test‐retest reliability and responsiveness of one hypothesis‐driven CSMS (modified...
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