Portal de investigação
Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study
Data de publicação:
Data Ahead of Print:
Autores da FMUP
Participantes de fora da FMUP
- Schünemann, HJ
- Anto, JM
- Klimek, L
- Czarlewski, W
- Mullol, J
- Pfaar, O
- Bedbrook, A
- Brussino, L
- Kvedariene, V
- Larenas Linnemann, DE
- Okamoto, Y
- Ventura, MT
- Agache, I
- Ansotegui, IJ
- Bergmann, KC
- Bosnic Anticevich, S
- Canonica, GW
- Cardona, V
- Carreiro Martins, P
- Casale, T
- Cecchi, L
- Chivato, T
- Chu, DK
- Cingi, C
- Costa, E.
- Cruz, AA
- Del Giacco, S
- Devillier, P
- Eklund, P
- Fokkens, WJ
- Gemicioglu, B
- Haahtela, T
- Ivancevich, JC
- Ispayeva, Z
- Jutel, M
- Kuna, P
- Kaidashev, I
- Khaitov, M
- Kraxner, H
- Laune, D
- Lipworth, B
- Louis, R
- Makris, M
- Monti, R
- Morais Almeida, M
- M?sges, R
- Niedoszytko, M
- Papadopoulos, NG
- Patella, V
- Nhan, PT
- Regateiro, FS
- Reitsma, S
- Rouadi, PW
- Samolinski, B
- Sheikh, A
- Sova, M
- Todo Bom, A
- Taborda Barata, L
- Toppila Salmi, S
- Sastre, J
- Tsiligianni, I
- Valiulis, A
- Vandenplas, O
- Wallace, D
- Waserman, S
- Yorgancioglu, A
- Zidarn, M
- Zuberbier, T
- Bousquet, J
Unidades de investigação
Abstract
Introduction: Data from mHealth apps can provide valuable information on rhinitis control and treatment patterns. However, in MASK-air (R), these data have only been analyzed cross-sectionally, without considering the changes of symptoms over time. We analyzed data from MASK-air (R) longitudinally, clustering weeks according to reported rhinitis symptoms. Methods: We analyzed MASK-air (R) data, assessing the weeks for which patients had answered a rhinitis daily questionnaire on all 7days. 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. [GRAPHICS] .
© 2022 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.
Dados da publicação
- ISSN/ISSNe:
- 0105-4538, 1398-9995
- Tipo:
- Article
- Páginas:
- 968-983
- DOI:
- 10.1111/all.15574
- Link para outro recurso:
- www.scopus.com
ALLERGY Wiley-Blackwell Publishing Ltd
Citações Recebidas na Web of Science: 4
Citações Recebidas na Scopus: 13
Documentos
- Não há documentos
Filiações
Keywords
- mobile health; patient-reported outcomes; real-world data; rhinitis
Campos de estudo
Financiamento
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Citar a publicação
Sousa B,Schünemann HJ,Sá A,Vieira R,Amaral R,Anto JM,Klimek L,Czarlewski W,Mullol J,Pfaar O,Bedbrook A,Brussino L,Kvedariene V,Larenas DE,Okamoto Y,Ventura MT,Agache I,Ansotegui IJ,Bergmann KC,Bosnic S,Canonica GW,Cardona V,Carreiro P,Casale T,Cecchi L,Chivato T,Chu DK,Cingi C,Costa E,Cruz AA,Del Giacco S,Devillier P,Eklund P,Fokkens WJ,Gemicioglu B,Haahtela T,Ivancevich JC,Ispayeva Z,Jutel M,Kuna P,Kaidashev I,Khaitov M,Kraxner H,Laune D,Lipworth B,Louis R,Makris M,Monti R,Morais M,M?sges R,Niedoszytko M,Papadopoulos NG,Patella V,Nhan PT,Regateiro FS,Reitsma S,Rouadi PW,Samolinski B,Sheikh A,Sova M,Todo A,Taborda L,Toppila S,Sastre J,Tsiligianni I,Valiulis A,Vandenplas O,Wallace D,Waserman S,Yorgancioglu A,Zidarn M,Zuberbier T,Fonseca J,Bousquet J. Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK-air® longitudinal study. Allergy. 2023. 78. (4):p. 968-983. IF:12,400. (1).
