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. 2023 Apr;78(4):968-983.
doi: 10.1111/all.15574. Epub 2022 Nov 20.

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

Bernardo Sousa-Pinto  1   2   3 Holger J Schünemann  4 Ana Sá-Sousa  1   2   3 Rafael José Vieira  1   2   3 Rita Amaral  1   2   3 Josep M Anto  5   6   7   8 Ludger Klimek  9   10 Wienczyslawa Czarlewski  11 Joaquim Mullol  12 Oliver Pfaar  13 Anna Bedbrook  14 Luisa Brussino  15 Violeta Kvedariene  16   17 Désirée E Larenas-Linnemann  18 Yoshitaka Okamoto  19 Maria Teresa Ventura  20 Ioana Agache  21 Ignacio J Ansotegui  22 Karl C Bergmann  23   24 Sinthia Bosnic-Anticevich  25 G Walter Canonica  26   27 Victoria Cardona  28 Pedro Carreiro-Martins  29   30 Thomas Casale  31 Lorenzo Cecchi  32 Tomas Chivato  33 Derek K Chu  4 Cemal Cingi  34 Elísio M Costa  35 Alvaro A Cruz  36 Stefano Del Giacco  37 Philippe Devillier  38 Patrik Eklund  39 Wytske J Fokkens  40 Bilun Gemicioglu  41 Tari Haahtela  42 Juan Carlos Ivancevich  43 Zhanat Ispayeva  44 Marek Jutel  45 Piotr Kuna  46 Igor Kaidashev  47 Musa Khaitov  48   49 Helga Kraxner  50 Daniel Laune  51 Brian Lipworth  52 Renaud Louis  53 Michael Makris  54 Riccardo Monti  55 Mario Morais-Almeida  56 Ralph Mösges  57 Marek Niedoszytko  58 Nikolaos G Papadopoulos  59 Vincenzo Patella  60 Nhân Pham-Thi  61 Frederico S Regateiro  62   63   64 Sietze Reitsma  65 Philip W Rouadi  66   67 Boleslaw Samolinski  68 Aziz Sheikh  69 Milan Sova  70 Ana Todo-Bom  71 Luis Taborda-Barata  72   73   74 Sanna Toppila-Salmi  42 Joaquin Sastre  75 Ioanna Tsiligianni  76   77 Arunas Valiulis  78 Olivier Vandenplas  79 Dana Wallace  80 Susan Waserman  81 Arzu Yorgancioglu  82 Mihaela Zidarn  83   84 Torsten Zuberbier  23   24 Joao A Fonseca  1   2   3 Jean Bousquet  23   24   85
Affiliations

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

Bernardo Sousa-Pinto et al. Allergy. 2023 Apr.

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.

Keywords: mobile health; patient-reported outcomes; real-world data; rhinitis.

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References

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