Development and validation of combined symptom-medication scores for allergic rhinitis*

Data de publicação: Data Ahead of Print:

Autores da FMUP

  • Bernardo Manuel De Sousa Pinto

    Autor

  • Luís Filipe Ribeiro De Azevedo

    Autor

  • Rute Alexandra Borges De Almeida

    Autor

  • João De Almeida Lopes Da Fonseca

    Autor

Participantes de fora da FMUP

  • Jutel, M
  • Agache, I
  • Canonica, GW
  • Czarlewski, W
  • Papadopoulos, NG
  • Bergmann, KC
  • Devillier, P
  • Laune, D
  • Klimek, L
  • Anto, A
  • Anto, JM
  • Eklund, P
  • Bedbrook, A
  • Bosnic Anticevich, S
  • Brough, HA
  • Brussino, L
  • Cardona, V
  • Casale, T
  • Cecchi, L
  • Charpin, D
  • Chivato, T
  • Costa, E.
  • Cruz, AA
  • Dramburg, S
  • Durham, SR
  • De Feo, G
  • van Wijk, RG
  • Fokkens, WJ
  • Gemicioglu, B
  • Haahtela, T
  • Illario, M
  • Ivancevich, JC
  • Kvedariene, V
  • Kuna, P
  • Larenas Linnemann, DE
  • Makris, M
  • Mathieu Dupas, E
  • Melen, E
  • Morais Almeida, M
  • Mösges, R
  • Mullol, J
  • Nadeau, KC
  • Nhan, PH
  • O'Hehir, R
  • Regateiro, FS
  • Reitsma, S
  • Samolinski, B
  • Sheikh, A
  • Stellato, C
  • Todo Bom, A
  • Tomazic, PV
  • Toppila Salmi, S
  • Valero, A
  • Valiulis, A
  • Ventura, MT
  • Wallace, D
  • Waserman, S
  • Yorgancioglu, A
  • Vries, G
  • Eerd, M
  • Zieglmayer, P
  • Zuberbier, T
  • Pfaar, O
  • Bousquet, J

Unidades de investigação

Abstract

Background Validated combined symptom-medication scores (CSMSs) are needed to investigate the effects of allergic rhinitis treatments. This study aimed to use real-life data from the MASK-air(R) app to generate and validate hypothesis- and data-driven CSMSs. Methods We used MASK-air(R) data to assess the concurrent validity, test-retest reliability and responsiveness of one hypothesis-driven CSMS (modified CSMS: mCSMS), one mixed hypothesis- and data-driven score (mixed score), and several data-driven CSMSs. The latter were generated with MASK-air(R) data following cluster analysis and regression models or factor analysis. These CSMSs were compared with scales measuring (i) the impact of rhinitis on work productivity (visual analogue scale [VAS] of work of MASK-air(R), and Work Productivity and Activity Impairment: Allergy Specific [WPAI-AS]), (ii) quality-of-life (EQ-5D VAS) and (iii) control of allergic diseases (Control of Allergic Rhinitis and Asthma Test [CARAT]). Results We assessed 317,176 days of MASK-air(R) use from 17,780 users aged 16-90 years, in 25 countries. The mCSMS and the factor analyses-based CSMSs displayed poorer validity and responsiveness compared to the remaining CSMSs. The latter displayed moderate-to-strong correlations with the tested comparators, high test-retest reliability and moderate-to-large responsiveness. Among data-driven CSMSs, a better performance was observed for cluster analyses-based CSMSs. High accuracy (capacity of discriminating different levels of rhinitis control) was observed for the latter (AUC-ROC = 0.904) and for the mixed CSMS (AUC-ROC = 0.820). Conclusion The mixed CSMS and the cluster-based CSMSs presented medium-high validity, reliability and accuracy, rendering them as candidates for primary endpoints in future rhinitis trials.

Dados da publicação

ISSN/ISSNe:
0105-4538, 1398-9995

ALLERGY  Wiley-Blackwell Publishing Ltd

Tipo:
Article
Páginas:
2147-2162
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 28

Citações Recebidas na Scopus: 44

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Keywords

  • medication score; quality-of-life; rhinitis; symptom score; work

Financiamento

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