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

IntroductionData 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, clusteri...

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Published in:Allergy (Copenhagen) 2023-04, Vol.78 (4), p.968-983
Main Authors: Bernardo Sousa‐Pinto, Schünemann, Holger J, Ana Sá‐Sousa, Vieira, Rafael José, Amaral, Rita, Anto, Josep M, Klimek, Ludger, Czarlewski, Wienczyslawa, Mullol, Joaquim, Pfaar, Oliver, Bedbrook, Anna, Brussino, Luisa, Kvedariene, Violeta, Désirée E Larenas‐Linnemann, Okamoto, Yoshitaka, Ventura, Maria Teresa, Agache, Ioana, Ansotegui, Ignacio J, Bergmann, Karl C, Sinthia Bosnic‐Anticevich, Canonica, G Walter, Cardona, Victoria, Pedro Carreiro‐Martins, Casale, Thomas, Cecchi, Lorenzo, Chivato, Tomas, Chu, Derek K, Cingi, Cemal, Costa, Elísio M, Cruz, Alvaro A, Stefano Del Giacco, Devillier, Philippe, Eklund, Patrik, Fokkens, Wytske J, Gemicioglu, Bilun, Tari Haahtela, Ivancevich, Juan Carlos, Ispayeva, Zhanat, Jutel, Marek, Kuna, Piotr, Kaidashev, Igor, Khaitov, Musa, Kraxner, Helga, Laune, Daniel, Lipworth, Brian, Renaud, Louis, Makris, Michael, Monti, Riccardo, Mario Morais‐Almeida, Mösges, Ralph, Niedoszytko, Marek, Papadopoulos, Nikolaos G, Patella, Vincenzo, Nhân Pham‐Thi, Regateiro, Frederico S, Reitsma, Sietze, Rouadi, Philip W, Samolinski, Boleslaw, Sheikh, Aziz, Sova, Milan, Ana Todo‐Bom, Luis Taborda‐Barata, Sanna Toppila‐Salmi, Sastre, Joaquin, Tsiligianni, Ioanna, Valiulis, Arunas, Vandenplas, Olivier, Wallace, Dana, Waserman, Susan, Yorgancioglu, Arzu, Zidarn, Mihaela, Zuberbier, Torsten, Fonseca, Joao A, Bousquet, Jean
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Language:English
Subjects:
Algorithms
Clustering
Longitudinal studies
Rhinitis
Seasonal variations
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container_end_page 983
container_issue 4
container_start_page 968
container_title Allergy (Copenhagen)
container_volume 78
creator Bernardo Sousa‐Pinto
Schünemann, Holger J
Ana Sá‐Sousa
Vieira, Rafael José
Amaral, Rita
Anto, Josep M
Klimek, Ludger
Czarlewski, Wienczyslawa
Mullol, Joaquim
Pfaar, Oliver
Bedbrook, Anna
Brussino, Luisa
Kvedariene, Violeta
Désirée E Larenas‐Linnemann
Okamoto, Yoshitaka
Ventura, Maria Teresa
Agache, Ioana
Ansotegui, Ignacio J
Bergmann, Karl C
Sinthia Bosnic‐Anticevich
Canonica, G Walter
Cardona, Victoria
Pedro Carreiro‐Martins
Casale, Thomas
Cecchi, Lorenzo
Chivato, Tomas
Chu, Derek K
Cingi, Cemal
Costa, Elísio M
Cruz, Alvaro A
Stefano Del Giacco
Devillier, Philippe
Eklund, Patrik
Fokkens, Wytske J
Gemicioglu, Bilun
Tari Haahtela
Ivancevich, Juan Carlos
Ispayeva, Zhanat
Jutel, Marek
Kuna, Piotr
Kaidashev, Igor
Khaitov, Musa
Kraxner, Helga
Laune, Daniel
Lipworth, Brian
Renaud, Louis
Makris, Michael
Monti, Riccardo
Mario Morais‐Almeida
Mösges, Ralph
Niedoszytko, Marek
Papadopoulos, Nikolaos G
Patella, Vincenzo
Nhân Pham‐Thi
Regateiro, Frederico S
Reitsma, Sietze
Rouadi, Philip W
Samolinski, Boleslaw
Sheikh, Aziz
Sova, Milan
Ana Todo‐Bom
Luis Taborda‐Barata
Sanna Toppila‐Salmi
Sastre, Joaquin
Tsiligianni, Ioanna
Valiulis, Arunas
Vandenplas, Olivier
Wallace, Dana
Waserman, Susan
Yorgancioglu, Arzu
Zidarn, Mihaela
Zuberbier, Torsten
Fonseca, Joao A
Bousquet, Jean
description IntroductionData 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.MethodsWe 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.ResultsWe 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.ConclusionsWe 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.
doi_str_mv 10.1111/all.15574
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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.MethodsWe 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.ResultsWe 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.ConclusionsWe 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.</description><identifier>ISSN: 0105-4538</identifier><identifier>EISSN: 1398-9995</identifier><identifier>DOI: 10.1111/all.15574</identifier><language>eng</language><publisher>Zurich: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Clustering ; Longitudinal studies ; Rhinitis ; Seasonal variations</subject><ispartof>Allergy (Copenhagen), 2023-04, Vol.78 (4), p.968-983</ispartof><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids></links><search><creatorcontrib>Bernardo Sousa‐Pinto</creatorcontrib><creatorcontrib>Schünemann, Holger J</creatorcontrib><creatorcontrib>Ana Sá‐Sousa</creatorcontrib><creatorcontrib>Vieira, Rafael José</creatorcontrib><creatorcontrib>Amaral, Rita</creatorcontrib><creatorcontrib>Anto, Josep M</creatorcontrib><creatorcontrib>Klimek, Ludger</creatorcontrib><creatorcontrib>Czarlewski, Wienczyslawa</creatorcontrib><creatorcontrib>Mullol, Joaquim</creatorcontrib><creatorcontrib>Pfaar, Oliver</creatorcontrib><creatorcontrib>Bedbrook, Anna</creatorcontrib><creatorcontrib>Brussino, Luisa</creatorcontrib><creatorcontrib>Kvedariene, Violeta</creatorcontrib><creatorcontrib>Désirée E Larenas‐Linnemann</creatorcontrib><creatorcontrib>Okamoto, Yoshitaka</creatorcontrib><creatorcontrib>Ventura, Maria Teresa</creatorcontrib><creatorcontrib>Agache, Ioana</creatorcontrib><creatorcontrib>Ansotegui, Ignacio J</creatorcontrib><creatorcontrib>Bergmann, Karl C</creatorcontrib><creatorcontrib>Sinthia Bosnic‐Anticevich</creatorcontrib><creatorcontrib>Canonica, G Walter</creatorcontrib><creatorcontrib>Cardona, Victoria</creatorcontrib><creatorcontrib>Pedro Carreiro‐Martins</creatorcontrib><creatorcontrib>Casale, Thomas</creatorcontrib><creatorcontrib>Cecchi, Lorenzo</creatorcontrib><creatorcontrib>Chivato, Tomas</creatorcontrib><creatorcontrib>Chu, Derek K</creatorcontrib><creatorcontrib>Cingi, Cemal</creatorcontrib><creatorcontrib>Costa, Elísio M</creatorcontrib><creatorcontrib>Cruz, Alvaro A</creatorcontrib><creatorcontrib>Stefano Del Giacco</creatorcontrib><creatorcontrib>Devillier, Philippe</creatorcontrib><creatorcontrib>Eklund, Patrik</creatorcontrib><creatorcontrib>Fokkens, Wytske J</creatorcontrib><creatorcontrib>Gemicioglu, Bilun</creatorcontrib><creatorcontrib>Tari Haahtela</creatorcontrib><creatorcontrib>Ivancevich, Juan Carlos</creatorcontrib><creatorcontrib>Ispayeva, Zhanat</creatorcontrib><creatorcontrib>Jutel, Marek</creatorcontrib><creatorcontrib>Kuna, Piotr</creatorcontrib><creatorcontrib>Kaidashev, Igor</creatorcontrib><creatorcontrib>Khaitov, Musa</creatorcontrib><creatorcontrib>Kraxner, Helga</creatorcontrib><creatorcontrib>Laune, Daniel</creatorcontrib><creatorcontrib>Lipworth, Brian</creatorcontrib><creatorcontrib>Renaud, Louis</creatorcontrib><creatorcontrib>Makris, Michael</creatorcontrib><creatorcontrib>Monti, Riccardo</creatorcontrib><creatorcontrib>Mario Morais‐Almeida</creatorcontrib><creatorcontrib>Mösges, Ralph</creatorcontrib><creatorcontrib>Niedoszytko, Marek</creatorcontrib><creatorcontrib>Papadopoulos, Nikolaos G</creatorcontrib><creatorcontrib>Patella, Vincenzo</creatorcontrib><creatorcontrib>Nhân Pham‐Thi</creatorcontrib><creatorcontrib>Regateiro, Frederico S</creatorcontrib><creatorcontrib>Reitsma, Sietze</creatorcontrib><creatorcontrib>Rouadi, Philip W</creatorcontrib><creatorcontrib>Samolinski, Boleslaw</creatorcontrib><creatorcontrib>Sheikh, Aziz</creatorcontrib><creatorcontrib>Sova, Milan</creatorcontrib><creatorcontrib>Ana Todo‐Bom</creatorcontrib><creatorcontrib>Luis Taborda‐Barata</creatorcontrib><creatorcontrib>Sanna Toppila‐Salmi</creatorcontrib><creatorcontrib>Sastre, Joaquin</creatorcontrib><creatorcontrib>Tsiligianni, Ioanna</creatorcontrib><creatorcontrib>Valiulis, Arunas</creatorcontrib><creatorcontrib>Vandenplas, Olivier</creatorcontrib><creatorcontrib>Wallace, Dana</creatorcontrib><creatorcontrib>Waserman, Susan</creatorcontrib><creatorcontrib>Yorgancioglu, Arzu</creatorcontrib><creatorcontrib>Zidarn, Mihaela</creatorcontrib><creatorcontrib>Zuberbier, Torsten</creatorcontrib><creatorcontrib>Fonseca, Joao A</creatorcontrib><creatorcontrib>Bousquet, Jean</creatorcontrib><title>Consistent trajectories of rhinitis control and treatment in 16,177weeks: The MASK‐air® longitudinal study</title><title>Allergy (Copenhagen)</title><description>IntroductionData 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.MethodsWe 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.ResultsWe 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.ConclusionsWe 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.</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Longitudinal studies</subject><subject>Rhinitis</subject><subject>Seasonal variations</subject><issn>0105-4538</issn><issn>1398-9995</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqNykFKAzEUxvEgCo7ahTd44NapyWRiGndSFEFc2X0J7WubMU007w3iziP0JD2ER_EkjuAB_Db_b_ET4lzJsRp25WMcK2NseyAqpd2kds6ZQ1FJJU3dGj05FidEnZTSNk5WYjvNiQIxJgYuvsMF5xKQIK-gbEIKHAgWOXHJEXxaDgg9b395SKCuL5W174gvdAOzDcLT7fPj9-fOh_K1h5jTOnC_DMlHoOF8nImjlY-Eo7-eiov7u9n0oX4t-a1H4nmX-zJwmjfWaa0aqVv9P_UDmy5QFw</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Bernardo Sousa‐Pinto</creator><creator>Schünemann, Holger J</creator><creator>Ana Sá‐Sousa</creator><creator>Vieira, Rafael José</creator><creator>Amaral, Rita</creator><creator>Anto, Josep M</creator><creator>Klimek, Ludger</creator><creator>Czarlewski, Wienczyslawa</creator><creator>Mullol, Joaquim</creator><creator>Pfaar, Oliver</creator><creator>Bedbrook, Anna</creator><creator>Brussino, Luisa</creator><creator>Kvedariene, Violeta</creator><creator>Désirée E Larenas‐Linnemann</creator><creator>Okamoto, Yoshitaka</creator><creator>Ventura, Maria Teresa</creator><creator>Agache, Ioana</creator><creator>Ansotegui, Ignacio J</creator><creator>Bergmann, Karl C</creator><creator>Sinthia Bosnic‐Anticevich</creator><creator>Canonica, G Walter</creator><creator>Cardona, Victoria</creator><creator>Pedro Carreiro‐Martins</creator><creator>Casale, Thomas</creator><creator>Cecchi, Lorenzo</creator><creator>Chivato, Tomas</creator><creator>Chu, Derek K</creator><creator>Cingi, Cemal</creator><creator>Costa, Elísio M</creator><creator>Cruz, Alvaro A</creator><creator>Stefano Del Giacco</creator><creator>Devillier, Philippe</creator><creator>Eklund, Patrik</creator><creator>Fokkens, Wytske J</creator><creator>Gemicioglu, Bilun</creator><creator>Tari Haahtela</creator><creator>Ivancevich, Juan Carlos</creator><creator>Ispayeva, Zhanat</creator><creator>Jutel, Marek</creator><creator>Kuna, Piotr</creator><creator>Kaidashev, Igor</creator><creator>Khaitov, Musa</creator><creator>Kraxner, Helga</creator><creator>Laune, Daniel</creator><creator>Lipworth, Brian</creator><creator>Renaud, Louis</creator><creator>Makris, Michael</creator><creator>Monti, Riccardo</creator><creator>Mario Morais‐Almeida</creator><creator>Mösges, Ralph</creator><creator>Niedoszytko, Marek</creator><creator>Papadopoulos, Nikolaos G</creator><creator>Patella, Vincenzo</creator><creator>Nhân Pham‐Thi</creator><creator>Regateiro, Frederico S</creator><creator>Reitsma, Sietze</creator><creator>Rouadi, Philip W</creator><creator>Samolinski, Boleslaw</creator><creator>Sheikh, Aziz</creator><creator>Sova, Milan</creator><creator>Ana Todo‐Bom</creator><creator>Luis Taborda‐Barata</creator><creator>Sanna Toppila‐Salmi</creator><creator>Sastre, Joaquin</creator><creator>Tsiligianni, Ioanna</creator><creator>Valiulis, Arunas</creator><creator>Vandenplas, Olivier</creator><creator>Wallace, Dana</creator><creator>Waserman, Susan</creator><creator>Yorgancioglu, Arzu</creator><creator>Zidarn, Mihaela</creator><creator>Zuberbier, Torsten</creator><creator>Fonseca, Joao A</creator><creator>Bousquet, Jean</creator><general>Blackwell Publishing Ltd</general><scope>7T5</scope><scope>H94</scope><scope>K9.</scope></search><sort><creationdate>20230401</creationdate><title>Consistent trajectories of rhinitis control and treatment in 16,177weeks: The MASK‐air® longitudinal study</title><author>Bernardo Sousa‐Pinto ; Schünemann, Holger J ; Ana Sá‐Sousa ; Vieira, Rafael José ; Amaral, Rita ; Anto, Josep M ; Klimek, Ludger ; Czarlewski, Wienczyslawa ; Mullol, Joaquim ; Pfaar, Oliver ; Bedbrook, Anna ; Brussino, Luisa ; Kvedariene, Violeta ; Désirée E Larenas‐Linnemann ; Okamoto, Yoshitaka ; Ventura, Maria Teresa ; Agache, Ioana ; Ansotegui, Ignacio J ; Bergmann, Karl C ; Sinthia Bosnic‐Anticevich ; Canonica, G Walter ; Cardona, Victoria ; Pedro Carreiro‐Martins ; Casale, Thomas ; Cecchi, Lorenzo ; Chivato, Tomas ; Chu, Derek K ; Cingi, Cemal ; Costa, Elísio M ; Cruz, Alvaro A ; Stefano Del Giacco ; Devillier, Philippe ; Eklund, Patrik ; Fokkens, Wytske J ; Gemicioglu, Bilun ; Tari Haahtela ; Ivancevich, Juan Carlos ; Ispayeva, Zhanat ; Jutel, Marek ; Kuna, Piotr ; Kaidashev, Igor ; Khaitov, Musa ; Kraxner, Helga ; Laune, Daniel ; Lipworth, Brian ; Renaud, Louis ; Makris, Michael ; Monti, Riccardo ; Mario Morais‐Almeida ; Mösges, Ralph ; Niedoszytko, Marek ; Papadopoulos, Nikolaos G ; Patella, Vincenzo ; Nhân Pham‐Thi ; Regateiro, Frederico S ; Reitsma, Sietze ; Rouadi, Philip W ; Samolinski, Boleslaw ; Sheikh, Aziz ; Sova, Milan ; Ana Todo‐Bom ; Luis Taborda‐Barata ; Sanna Toppila‐Salmi ; Sastre, Joaquin ; Tsiligianni, Ioanna ; Valiulis, Arunas ; Vandenplas, Olivier ; Wallace, Dana ; Waserman, Susan ; Yorgancioglu, Arzu ; Zidarn, Mihaela ; Zuberbier, Torsten ; Fonseca, Joao A ; Bousquet, Jean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_27933120343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Clustering</topic><topic>Longitudinal studies</topic><topic>Rhinitis</topic><topic>Seasonal variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bernardo Sousa‐Pinto</creatorcontrib><creatorcontrib>Schünemann, Holger J</creatorcontrib><creatorcontrib>Ana Sá‐Sousa</creatorcontrib><creatorcontrib>Vieira, Rafael José</creatorcontrib><creatorcontrib>Amaral, Rita</creatorcontrib><creatorcontrib>Anto, Josep M</creatorcontrib><creatorcontrib>Klimek, Ludger</creatorcontrib><creatorcontrib>Czarlewski, Wienczyslawa</creatorcontrib><creatorcontrib>Mullol, Joaquim</creatorcontrib><creatorcontrib>Pfaar, Oliver</creatorcontrib><creatorcontrib>Bedbrook, Anna</creatorcontrib><creatorcontrib>Brussino, Luisa</creatorcontrib><creatorcontrib>Kvedariene, Violeta</creatorcontrib><creatorcontrib>Désirée E Larenas‐Linnemann</creatorcontrib><creatorcontrib>Okamoto, Yoshitaka</creatorcontrib><creatorcontrib>Ventura, Maria Teresa</creatorcontrib><creatorcontrib>Agache, Ioana</creatorcontrib><creatorcontrib>Ansotegui, Ignacio J</creatorcontrib><creatorcontrib>Bergmann, Karl C</creatorcontrib><creatorcontrib>Sinthia Bosnic‐Anticevich</creatorcontrib><creatorcontrib>Canonica, G Walter</creatorcontrib><creatorcontrib>Cardona, Victoria</creatorcontrib><creatorcontrib>Pedro Carreiro‐Martins</creatorcontrib><creatorcontrib>Casale, Thomas</creatorcontrib><creatorcontrib>Cecchi, Lorenzo</creatorcontrib><creatorcontrib>Chivato, Tomas</creatorcontrib><creatorcontrib>Chu, Derek K</creatorcontrib><creatorcontrib>Cingi, Cemal</creatorcontrib><creatorcontrib>Costa, Elísio M</creatorcontrib><creatorcontrib>Cruz, Alvaro A</creatorcontrib><creatorcontrib>Stefano Del Giacco</creatorcontrib><creatorcontrib>Devillier, Philippe</creatorcontrib><creatorcontrib>Eklund, Patrik</creatorcontrib><creatorcontrib>Fokkens, Wytske J</creatorcontrib><creatorcontrib>Gemicioglu, Bilun</creatorcontrib><creatorcontrib>Tari Haahtela</creatorcontrib><creatorcontrib>Ivancevich, Juan Carlos</creatorcontrib><creatorcontrib>Ispayeva, Zhanat</creatorcontrib><creatorcontrib>Jutel, Marek</creatorcontrib><creatorcontrib>Kuna, Piotr</creatorcontrib><creatorcontrib>Kaidashev, Igor</creatorcontrib><creatorcontrib>Khaitov, Musa</creatorcontrib><creatorcontrib>Kraxner, Helga</creatorcontrib><creatorcontrib>Laune, Daniel</creatorcontrib><creatorcontrib>Lipworth, Brian</creatorcontrib><creatorcontrib>Renaud, Louis</creatorcontrib><creatorcontrib>Makris, Michael</creatorcontrib><creatorcontrib>Monti, Riccardo</creatorcontrib><creatorcontrib>Mario Morais‐Almeida</creatorcontrib><creatorcontrib>Mösges, Ralph</creatorcontrib><creatorcontrib>Niedoszytko, Marek</creatorcontrib><creatorcontrib>Papadopoulos, Nikolaos G</creatorcontrib><creatorcontrib>Patella, Vincenzo</creatorcontrib><creatorcontrib>Nhân Pham‐Thi</creatorcontrib><creatorcontrib>Regateiro, Frederico S</creatorcontrib><creatorcontrib>Reitsma, Sietze</creatorcontrib><creatorcontrib>Rouadi, Philip W</creatorcontrib><creatorcontrib>Samolinski, Boleslaw</creatorcontrib><creatorcontrib>Sheikh, Aziz</creatorcontrib><creatorcontrib>Sova, Milan</creatorcontrib><creatorcontrib>Ana Todo‐Bom</creatorcontrib><creatorcontrib>Luis Taborda‐Barata</creatorcontrib><creatorcontrib>Sanna Toppila‐Salmi</creatorcontrib><creatorcontrib>Sastre, Joaquin</creatorcontrib><creatorcontrib>Tsiligianni, Ioanna</creatorcontrib><creatorcontrib>Valiulis, Arunas</creatorcontrib><creatorcontrib>Vandenplas, Olivier</creatorcontrib><creatorcontrib>Wallace, Dana</creatorcontrib><creatorcontrib>Waserman, Susan</creatorcontrib><creatorcontrib>Yorgancioglu, Arzu</creatorcontrib><creatorcontrib>Zidarn, Mihaela</creatorcontrib><creatorcontrib>Zuberbier, Torsten</creatorcontrib><creatorcontrib>Fonseca, Joao A</creatorcontrib><creatorcontrib>Bousquet, Jean</creatorcontrib><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><jtitle>Allergy (Copenhagen)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bernardo Sousa‐Pinto</au><au>Schünemann, Holger J</au><au>Ana Sá‐Sousa</au><au>Vieira, Rafael José</au><au>Amaral, Rita</au><au>Anto, Josep M</au><au>Klimek, Ludger</au><au>Czarlewski, Wienczyslawa</au><au>Mullol, Joaquim</au><au>Pfaar, Oliver</au><au>Bedbrook, Anna</au><au>Brussino, Luisa</au><au>Kvedariene, Violeta</au><au>Désirée E Larenas‐Linnemann</au><au>Okamoto, Yoshitaka</au><au>Ventura, Maria Teresa</au><au>Agache, Ioana</au><au>Ansotegui, Ignacio J</au><au>Bergmann, Karl C</au><au>Sinthia Bosnic‐Anticevich</au><au>Canonica, G Walter</au><au>Cardona, Victoria</au><au>Pedro Carreiro‐Martins</au><au>Casale, Thomas</au><au>Cecchi, Lorenzo</au><au>Chivato, Tomas</au><au>Chu, Derek K</au><au>Cingi, Cemal</au><au>Costa, Elísio M</au><au>Cruz, Alvaro A</au><au>Stefano Del Giacco</au><au>Devillier, Philippe</au><au>Eklund, Patrik</au><au>Fokkens, Wytske J</au><au>Gemicioglu, Bilun</au><au>Tari Haahtela</au><au>Ivancevich, Juan Carlos</au><au>Ispayeva, Zhanat</au><au>Jutel, Marek</au><au>Kuna, Piotr</au><au>Kaidashev, Igor</au><au>Khaitov, Musa</au><au>Kraxner, Helga</au><au>Laune, Daniel</au><au>Lipworth, Brian</au><au>Renaud, Louis</au><au>Makris, Michael</au><au>Monti, Riccardo</au><au>Mario Morais‐Almeida</au><au>Mösges, Ralph</au><au>Niedoszytko, Marek</au><au>Papadopoulos, Nikolaos G</au><au>Patella, Vincenzo</au><au>Nhân Pham‐Thi</au><au>Regateiro, Frederico S</au><au>Reitsma, Sietze</au><au>Rouadi, Philip W</au><au>Samolinski, Boleslaw</au><au>Sheikh, Aziz</au><au>Sova, Milan</au><au>Ana Todo‐Bom</au><au>Luis Taborda‐Barata</au><au>Sanna Toppila‐Salmi</au><au>Sastre, Joaquin</au><au>Tsiligianni, Ioanna</au><au>Valiulis, Arunas</au><au>Vandenplas, Olivier</au><au>Wallace, Dana</au><au>Waserman, Susan</au><au>Yorgancioglu, Arzu</au><au>Zidarn, Mihaela</au><au>Zuberbier, Torsten</au><au>Fonseca, Joao A</au><au>Bousquet, Jean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consistent trajectories of rhinitis control and treatment in 16,177weeks: The MASK‐air® longitudinal study</atitle><jtitle>Allergy (Copenhagen)</jtitle><date>2023-04-01</date><risdate>2023</risdate><volume>78</volume><issue>4</issue><spage>968</spage><epage>983</epage><pages>968-983</pages><issn>0105-4538</issn><eissn>1398-9995</eissn><abstract>IntroductionData 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.MethodsWe 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.ResultsWe 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.ConclusionsWe 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.</abstract><cop>Zurich</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/all.15574</doi></addata></record>
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subjects Algorithms
Clustering
Longitudinal studies
Rhinitis
Seasonal variations
title Consistent trajectories of rhinitis control and treatment in 16,177weeks: The MASK‐air® longitudinal study
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