Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data

Bibliographic Details
Main Author: Sousa‐Pinto, B
Publication Date: 2022
Other Authors: Sá‐Sousa, A, Vieira, RJ, Amaral, R, Klimek, L, Czarlewski, W, Antó, JM, Pfaar, O, Bedbrook, A, Kvedariene, V, Ventura, MT, Ansotegui, IJ, Bergmann, KC, Brussino, L, Canonica, GW, Cardona, V, Carreiro‐Martins, P, Casale, T, Cecchi, L, Chivato, T, Chu, DK, Cingi, C, Costa, EM, Cruz, AA, De Feo, G, Devillier, P, Fokkens, WJ, Gaga, M, Gemicioğlu, B, Haahtela, T, Ivancevich, JC, Ispayeva, Z, Jutel, M, Kuna, P, Kaidashev, I, Kraxner, H, Larenas‐Linnemann, DE, Laune, D, Lipworth, B, Louis, R, Makris, M, Monti, R, Morais‐Almeida, M, Mösges, R, Mullol, J, Odemyr, M, Okamoto, Y, Papadopoulos, NG, Patella, V, Pham‐Thi, N, Regateiro, FS, Reitsma, S, Rouadi, PW, Samolinski, B, Sova, M, Todo‐Bom, A, Taborda‐Barata, L, Tomazic, PV, Toppila‐Salmi, S, Sastre, J, Tsiligianni, I, Valiulis, A, Vandenplas, O, Wallace, D, Waserman, S, Yorgancioglu, A, Zidarn, M, Zuberbier, T, Fonseca, JA, Bousquet, J
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.17/4466
Summary: Background: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. Methods: We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms ('VAS Global Symptoms') and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. Results: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median 'VAS Global Symptoms' was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p < .001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1 -antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. Conclusions: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity.
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spelling Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World DataEurope / epidemiologyHabitsHistamine Antagonists / therapeutic useRhinitis* / drug therapyRhinitis, Allergic* / epidemiologyHDE ALERBackground: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. Methods: We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms ('VAS Global Symptoms') and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. Results: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median 'VAS Global Symptoms' was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p < .001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1 -antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. Conclusions: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity.WileyRepositório da Unidade Local de Saúde São JoséSousa‐Pinto, BSá‐Sousa, AVieira, RJAmaral, RKlimek, LCzarlewski, WAntó, JMPfaar, OBedbrook, AKvedariene, VVentura, MTAnsotegui, IJBergmann, KCBrussino, LCanonica, GWCardona, VCarreiro‐Martins, PCasale, TCecchi, LChivato, TChu, DKCingi, CCosta, EMCruz, AADe Feo, GDevillier, PFokkens, WJGaga, MGemicioğlu, BHaahtela, TIvancevich, JCIspayeva, ZJutel, MKuna, PKaidashev, IKraxner, HLarenas‐Linnemann, DELaune, DLipworth, BLouis, RMakris, MMonti, RMorais‐Almeida, MMösges, RMullol, JOdemyr, MOkamoto, YPapadopoulos, NGPatella, VPham‐Thi, NRegateiro, FSReitsma, SRouadi, PWSamolinski, BSova, MTodo‐Bom, ATaborda‐Barata, LTomazic, PVToppila‐Salmi, SSastre, JTsiligianni, IValiulis, AVandenplas, OWallace, DWaserman, SYorgancioglu, AZidarn, MZuberbier, TFonseca, JABousquet, J2023-03-21T12:38:46Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/4466eng10.1111/all.15275info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-06T16:46:51Zoai:repositorio.chlc.pt:10400.17/4466Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:18:09.346700Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
title Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
spellingShingle Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
Sousa‐Pinto, B
Europe / epidemiology
Habits
Histamine Antagonists / therapeutic use
Rhinitis* / drug therapy
Rhinitis, Allergic* / epidemiology
HDE ALER
title_short Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
title_full Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
title_fullStr Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
title_full_unstemmed Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
title_sort Behavioural Patterns in Allergic Rhinitis Medication in Europe: A Study Using MASK‐Air ® Real‐World Data
author Sousa‐Pinto, B
author_facet Sousa‐Pinto, B
Sá‐Sousa, A
Vieira, RJ
Amaral, R
Klimek, L
Czarlewski, W
Antó, JM
Pfaar, O
Bedbrook, A
Kvedariene, V
Ventura, MT
Ansotegui, IJ
Bergmann, KC
Brussino, L
Canonica, GW
Cardona, V
Carreiro‐Martins, P
Casale, T
Cecchi, L
Chivato, T
Chu, DK
Cingi, C
Costa, EM
Cruz, AA
De Feo, G
Devillier, P
Fokkens, WJ
Gaga, M
Gemicioğlu, B
Haahtela, T
Ivancevich, JC
Ispayeva, Z
Jutel, M
Kuna, P
Kaidashev, I
Kraxner, H
Larenas‐Linnemann, DE
Laune, D
Lipworth, B
Louis, R
Makris, M
Monti, R
Morais‐Almeida, M
Mösges, R
Mullol, J
Odemyr, M
Okamoto, Y
Papadopoulos, NG
Patella, V
Pham‐Thi, N
Regateiro, FS
Reitsma, S
Rouadi, PW
Samolinski, B
Sova, M
Todo‐Bom, A
Taborda‐Barata, L
Tomazic, PV
Toppila‐Salmi, S
Sastre, J
Tsiligianni, I
Valiulis, A
Vandenplas, O
Wallace, D
Waserman, S
Yorgancioglu, A
Zidarn, M
Zuberbier, T
Fonseca, JA
Bousquet, J
author_role author
author2 Sá‐Sousa, A
Vieira, RJ
Amaral, R
Klimek, L
Czarlewski, W
Antó, JM
Pfaar, O
Bedbrook, A
Kvedariene, V
Ventura, MT
Ansotegui, IJ
Bergmann, KC
Brussino, L
Canonica, GW
Cardona, V
Carreiro‐Martins, P
Casale, T
Cecchi, L
Chivato, T
Chu, DK
Cingi, C
Costa, EM
Cruz, AA
De Feo, G
Devillier, P
Fokkens, WJ
Gaga, M
Gemicioğlu, B
Haahtela, T
Ivancevich, JC
Ispayeva, Z
Jutel, M
Kuna, P
Kaidashev, I
Kraxner, H
Larenas‐Linnemann, DE
Laune, D
Lipworth, B
Louis, R
Makris, M
Monti, R
Morais‐Almeida, M
Mösges, R
Mullol, J
Odemyr, M
Okamoto, Y
Papadopoulos, NG
Patella, V
Pham‐Thi, N
Regateiro, FS
Reitsma, S
Rouadi, PW
Samolinski, B
Sova, M
Todo‐Bom, A
Taborda‐Barata, L
Tomazic, PV
Toppila‐Salmi, S
Sastre, J
Tsiligianni, I
Valiulis, A
Vandenplas, O
Wallace, D
Waserman, S
Yorgancioglu, A
Zidarn, M
Zuberbier, T
Fonseca, JA
Bousquet, J
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dc.contributor.none.fl_str_mv Repositório da Unidade Local de Saúde São José
dc.contributor.author.fl_str_mv Sousa‐Pinto, B
Sá‐Sousa, A
Vieira, RJ
Amaral, R
Klimek, L
Czarlewski, W
Antó, JM
Pfaar, O
Bedbrook, A
Kvedariene, V
Ventura, MT
Ansotegui, IJ
Bergmann, KC
Brussino, L
Canonica, GW
Cardona, V
Carreiro‐Martins, P
Casale, T
Cecchi, L
Chivato, T
Chu, DK
Cingi, C
Costa, EM
Cruz, AA
De Feo, G
Devillier, P
Fokkens, WJ
Gaga, M
Gemicioğlu, B
Haahtela, T
Ivancevich, JC
Ispayeva, Z
Jutel, M
Kuna, P
Kaidashev, I
Kraxner, H
Larenas‐Linnemann, DE
Laune, D
Lipworth, B
Louis, R
Makris, M
Monti, R
Morais‐Almeida, M
Mösges, R
Mullol, J
Odemyr, M
Okamoto, Y
Papadopoulos, NG
Patella, V
Pham‐Thi, N
Regateiro, FS
Reitsma, S
Rouadi, PW
Samolinski, B
Sova, M
Todo‐Bom, A
Taborda‐Barata, L
Tomazic, PV
Toppila‐Salmi, S
Sastre, J
Tsiligianni, I
Valiulis, A
Vandenplas, O
Wallace, D
Waserman, S
Yorgancioglu, A
Zidarn, M
Zuberbier, T
Fonseca, JA
Bousquet, J
dc.subject.por.fl_str_mv Europe / epidemiology
Habits
Histamine Antagonists / therapeutic use
Rhinitis* / drug therapy
Rhinitis, Allergic* / epidemiology
HDE ALER
topic Europe / epidemiology
Habits
Histamine Antagonists / therapeutic use
Rhinitis* / drug therapy
Rhinitis, Allergic* / epidemiology
HDE ALER
description Background: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. Methods: We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms ('VAS Global Symptoms') and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. Results: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median 'VAS Global Symptoms' was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p < .001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1 -antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. Conclusions: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-03-21T12:38:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.17/4466
url http://hdl.handle.net/10400.17/4466
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1111/all.15275
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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