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.

Development and validation of combined symptom-medication scores for allergic rhinitis* / Sousa-Pinto, B., Azevedo, L.F., Jutel, M., Agache, I., Canonica, G.W., Czarlewski, W., Papadopoulos, N.G., Bergmann, K.-C., Devillier, P., Laune, D., Klimek, L., Anto, A., Anto, J.M., Eklund, P., Almeida, R., Bedbrook, A., Bosnic-Anticevich, S., Brough, H.A., Brussino, L., Cardona, V., et al.. - In: ALLERGY. - ISSN 1398-9995. - 77:7(2022), pp. 2147-2162. [10.1111/all.15199]

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

Illario M.;
2022

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.
2022
Development and validation of combined symptom-medication scores for allergic rhinitis* / Sousa-Pinto, B., Azevedo, L.F., Jutel, M., Agache, I., Canonica, G.W., Czarlewski, W., Papadopoulos, N.G., Bergmann, K.-C., Devillier, P., Laune, D., Klimek, L., Anto, A., Anto, J.M., Eklund, P., Almeida, R., Bedbrook, A., Bosnic-Anticevich, S., Brough, H.A., Brussino, L., Cardona, V., et al.. - In: ALLERGY. - ISSN 1398-9995. - 77:7(2022), pp. 2147-2162. [10.1111/all.15199]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/909533
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