Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study

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• dc.contributor.author Sousa Pinto, Bernardo
• dc.contributor.author Antó i Boqué, Josep Maria
• dc.contributor.author Bousquet, Jean
• dc.date.accessioned 2023-01-10T06:45:30Z
• dc.date.available 2023-01-10T06:45:30Z
• dc.date.issued 2023
• dc.description.abstract 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 the weeks for which patients had answered a rhinitis daily questionnaire on all 7 days. We firstly used k-means clustering algorithms for longitudinal data to define clusters of weeks according to the trajectories of reported daily rhinitis symptoms. Clustering was applied separately for weeks when medication was reported or not. We compared obtained clusters on symptoms and rhinitis medication patterns. We then used the latent class mixture model to assess the robustness of results. Results: We analyzed 113,239 days (16,177 complete weeks) from 2590 patients (mean age ± SD = 39.1 ± 13.7 years). The first clustering algorithm identified ten clusters among weeks with medication use: seven with low variability in rhinitis control during the week and three with highly-variable control. Clusters with poorly-controlled rhinitis displayed a higher frequency of rhinitis co-medication, a more frequent change of medication schemes and more pronounced seasonal patterns. Six clusters were identified in weeks when no rhinitis medication was used, displaying similar control patterns. The second clustering method provided similar results. Moreover, patients displayed consistent levels of rhinitis control, reporting several weeks with similar levels of control. Conclusions: We identified 16 patterns of weekly rhinitis control. Co-medication and medication change schemes were common in uncontrolled weeks, reinforcing the hypothesis that patients treat themselves according to their symptoms.
• dc.format.mimetype application/pdf
• dc.identifier.citation Sousa-Pinto B, Schünemann HJ, Sá-Sousa A, Vieira RJ, Amaral R, Anto JM et al. Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study. Allergy. 2023 Apr;78(4):968-83. DOI: 10.1111/all.15574
• dc.identifier.doi http://dx.doi.org/10.1111/all.15574
• dc.identifier.issn 0105-4538
• dc.identifier.uri http://hdl.handle.net/10230/55245
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof Allergy. 2023 Apr;78(4):968-83
• dc.rights © 2022 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Mobile health
• dc.subject.keyword Patient-reported outcomes
• dc.subject.keyword Real-world data
• dc.subject.keyword Rhinitis
• dc.title Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion