Background: Rhinoconjunctivitis phenotypes are conventionally described based on symptom severity, duration and seasonality and aeroallergen sensitization. It is not known whether these phenotypes fully reflect the patterns of symptoms seen at a population level.
Objective: To identify phenotypes of rhinoconjunctivitis based on symptom intensity and seasonality using an unbiased approach and to compare their characteristics.
Methods: A cohort of children with asthma in low-income urban environments was prospectively followed with a rhinoconjunctivitis activity questionnaire and their upper and lower airway disease was managed for 12 months with every 2-month visits based on standardized algorithms. We identified individual rhinoconjunctivitis symptom trajectories and clusters of those trajectories and compared the clusters focusing on atopic characteristics.
Results: Data obtained from 619 children yielded 5 symptom clusters: two had high symptoms (22.5%) but differed in seasonal pattern, one had medium symptoms (13.6%), one had medium nasal congestion only (20.4%) and one had low symptoms (43.6%). The latter was further split into two subgroups if nasal corticosteroids were frequently prescribed (23.6%) or not (20.0%). Seasonal variation was absent in the low symptom clusters. The number of allergic sensitizations and family history of allergic airway disease were higher in the high symptom clusters, but allergic sensitization did not explain differences in seasonality.
Conclusions: This study identified rhinoconjunctivitis phenotypes that have not been previously reported and were not differentiated by demographics, or measures of atopy and type 2 inflammation. Factors beyond allergy need to be investigated to better understand the pathobiology of rhinoconjunctivitis.
Keywords: allergy; asthma; clusters; phenotypes; rhinitis; rhinoconjunctivitis; trajectories.
Copyright © 2025. Published by Elsevier Inc.