Repository logo
 
Publication

Consistent Trajectories of Rhinitis Control and Treatment in 16,177 Weeks: The MASK‐air® Longitudinal Study

2023Journal article Open access
Simple item page
dc.contributor.authorSousa‐Pinto, B
dc.contributor.authorSchünemann, HJ
dc.contributor.authorSá‐Sousa, A
dc.contributor.authorVieira, RJ
dc.contributor.authorAmaral, R
dc.contributor.authorAnto, JM
dc.contributor.authorKlimek, L
dc.contributor.authorCzarlewski, W
dc.contributor.authorMullol, J
dc.contributor.authorPfaar, O
dc.contributor.authorBedbrook, A
dc.contributor.authorBrussino, L
dc.contributor.authorKvedariene, V
dc.contributor.authorLarenas‐Linnemann, DE
dc.contributor.authorOkamoto, Y
dc.contributor.authorVentura, MT
dc.contributor.authorAgache, I
dc.contributor.authorAnsotegui, IJ
dc.contributor.authorBergmann, KC
dc.contributor.authorBosnic‐Anticevich, S
dc.contributor.authorCanonica, GW
dc.contributor.authorCardona, V
dc.contributor.authorCarreiro‐Martins, P
dc.contributor.authorCasale, T
dc.contributor.authorCecchi, L
dc.contributor.authorChivato, T
dc.contributor.authorChu, DK
dc.contributor.authorCingi, C
dc.contributor.authorCosta, EM
dc.contributor.authorCruz, AA
dc.contributor.authorDel Giacco, S
dc.contributor.authorDevillier, P
dc.contributor.authorEklund, P
dc.contributor.authorFokkens, WJ
dc.contributor.authorGemicioglu, B
dc.contributor.authorHaahtela, T
dc.contributor.authorIvancevich, JC
dc.contributor.authorIspayeva, Z
dc.contributor.authorJutel, M
dc.contributor.authorKuna, P
dc.contributor.authorKaidashev, I
dc.contributor.authorKhaitov, M
dc.contributor.authorKraxner, H
dc.contributor.authorLaune, D
dc.contributor.authorLipworth, B
dc.contributor.authorLouis, R
dc.contributor.authorMakris, M
dc.contributor.authorMonti, R
dc.contributor.authorMorais‐Almeida, M
dc.contributor.authorMösges, R
dc.contributor.authorNiedoszytko, M
dc.contributor.authorPapadopoulos, NG
dc.contributor.authorPatella, V
dc.contributor.authorPham‐Thi, N
dc.contributor.authorRegateiro, FS
dc.contributor.authorReitsma, S
dc.contributor.authorRouadi, PW
dc.contributor.authorSamolinski, B
dc.contributor.authorSheikh, A
dc.contributor.authorSova, M
dc.contributor.authorTodo‐Bom, A
dc.contributor.authorTaborda‐Barata, L
dc.contributor.authorToppila‐Salmi, S
dc.contributor.authorSastre, J
dc.contributor.authorTsiligianni, I
dc.contributor.authorValiulis, A
dc.contributor.authorVandenplas, O
dc.contributor.authorWallace, D
dc.contributor.authorWaserman, S
dc.contributor.authorYorgancioglu, A
dc.contributor.authorZidarn, M
dc.contributor.authorZuberbier, T
dc.contributor.authorFonseca, JA
dc.contributor.authorBousquet, J
dc.date.accessioned2023-05-22T09:30:26Z
dc.date.available2023-05-22T09:30:26Z
dc.date.issued2023
dc.description.abstractIntroduction: 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAllergy. 2023 Apr;78(4):968-983.pt_PT
dc.identifier.doi10.1111/all.15574pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/4517
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.subjectLongitudinal Studiespt_PT
dc.subjectRhinitis* / epidemiologypt_PT
dc.subjectSurveys and Questionnairespt_PT
dc.subjectTelemedicine*pt_PT
dc.subjectHumanspt_PT
dc.subjectHDE ALERpt_PT
dc.titleConsistent Trajectories of Rhinitis Control and Treatment in 16,177 Weeks: The MASK‐air® Longitudinal Studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage983pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage968pt_PT
oaire.citation.titleAllergypt_PT
oaire.citation.volume78pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Allergy 2023_968.pdf
Size:
2.87 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ALER - Artigos