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. 2022 Jul;77(7):2147-2162.
doi: 10.1111/all.15199. Epub 2022 Jan 15.

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

Bernardo Sousa-Pinto  1   2 Luís Filipe Azevedo  1   2 Marek Jutel  3   4 Ioana Agache  5 G Walter Canonica  6   7 Wienczyslawa Czarlewski  8   9 Nikolaos G Papadopoulos  10 Karl-Christian Bergmann  11   12 Philippe Devillier  13 Daniel Laune  14 Ludger Klimek  15   16 Aram Anto  9 Josep M Anto  17   18   19   20 Patrik Eklund  21 Rute Almeida  1   2 Anna Bedbrook  22 Sinthia Bosnic-Anticevich  23   24 Helen A Brough  25 Luisa Brussino  26 Victoria Cardona  27 Thomas Casale  25 Lorenzo Cecchi  28 Denis Charpin  29 Tomás Chivato  30 Elisio M Costa  31 Alvaro A Cruz  32 Stephanie Dramburg  33 Stephen R Durham  34 Giulia De Feo  35 Roy Gerth van Wijk  36 Wystke J Fokkens  37 Bilun Gemicioglu  38 Tari Haahtela  39 Maddalena Illario  40 Juan Carlos Ivancevich  41 Violeta Kvedariene  42   43 Piotr Kuna  44 Désirée E Larenas-Linnemann  45 Michael Makris  46 Eve Mathieu-Dupas  14 Erik Melén  47   48 Mario Morais-Almeida  49 Ralph Mösges  50 Joaquim Mullol  51   52 Kari C Nadeau  53 Nhân Pham-Thi  54 Robyn O'Hehir  55 Frederico S Regateiro  56   57   58 Sietze Reitsma  59 Boleslaw Samolinski  60 Aziz Sheikh  61 Cristiana Stellato  35 Ana Todo-Bom  62 Peter Valentin Tomazic  63 Sanna Toppila-Salmi  64 Antonio Valero  65 Arunas Valiulis  66   67 Maria Teresa Ventura  68 Dana Wallace  69 Susan Waserman  70 Arzu Yorgancioglu  71 Govert De Vries  72 Michiel van Eerd  72 Petra Zieglmayer  73   74 Torsten Zuberbier  11   12 Oliver Pfaar  75 João Almeida Fonseca  76   77   78 Jean Bousquet  11   12   22   79
Affiliations
Free article

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

Bernardo Sousa-Pinto et al. Allergy. 2022 Jul.
Free article

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® app to generate and validate hypothesis- and data-driven CSMSs.

Methods: We used MASK-air® 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® 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® , 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® 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.

Keywords: medication score; quality-of-life; rhinitis; symptom score; work.

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References

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