Portal de investigação
Cutoff Values of MASK-air Patient-Reported Outcome Measures
Data de publicação:
Data Ahead of Print:
Autores da FMUP
Participantes de fora da FMUP
- Sa Sousa, A
- Amaral, R.
- Anto, JM
- Klimek, L
- Czarlewski, W
- Mullol, J
- Pfaar, O
- Bedbrook, A
- Brussino, L
- Kvedariene, V
- Larenas Linnemann, DE
- Okamoto, Y
- Ventura, MT
- Ansotegui, IJ
- Bosnic Anticevich, S
- Canonica, GW
- Cardona, V
- Cecchi, L
- Chivato, T
- Cingi, C
- Costa, E.
- Cruz, AA
- Del Giacco, S
- Devillier, P
- Fokkens, WJ
- Gemicioglu, B
- Haahtela, T
- Ivancevich, JC
- Kuna, P
- Kaidashev, I
- Kraxner, H
- Laune, D
- Louis, R
- Makris, M
- Monti, R
- Morais Almeida, M
- Mosges, R
- Niedoszytko, M
- Papadopoulos, NG
- Patella, V
- Pham Thi, N
- Regateiro, FS
- Reitsma, S
- Rouadi, PW
- Samolinski, B
- Sheikh, A
- Sova, M
- Taborda Barata, L
- Toppila Salmi, S
- Sastre, J
- Tsiligianni, I
- Valiulis, A
- Yorgancioglu, A
- Zidarn, M
- Zuberbier, T
- Bousquet, J
Unidades de investigação
Abstract
BACKGROUND: In clinical and epidemiological studies, cutoffs of patient-reported outcome measures can be used to classify patients into groups of statistical and clinical relevance. However, visual analog scale (VAS) cutoffs in MASK-air have not been tested. OBJECTIVE: To calculate cutoffs for VAS global, nasal, ocular, and asthma symptoms.METHODS: In a cross-sectional study design of all MASK-air participants, we compared (1) approaches based on the percen-tiles (tertiles or quartiles) of VAS distributions and (2) data -driven approaches based on clusters of data from 2 comparators (VAS work and VAS sleep). We then performed sensitivityanalyses for individual countries and for VAS levels corre-sponding to full allergy control. Finally, we tested the different approaches using MASK-air real-world cross-sectional and lon-gitudinal data to assess the most relevant cutoffs.RESULTS: We assessed 395,223 days from 23,201 MASK-air users with self-reported allergic rhinitis. The percentile-oriented approach resulted in lower cutoff values than the data-driven approach. We obtained consistent results in the data-driven approach. Following the latter, the proposed cutoff differenti-ating "controlled" and "partly-controlled" patients was similar to the cutoff value that had been arbitrarily used (20/100). However, a lower cutoff was obtained to differentiate between "partly-controlled" and "uncontrolled" patients (35 vs the arbitrarily-used value of 50/100).CONCLUSIONS: Using a data-driven approach, we were able to define cutoff values for MASK-air VASs on allergy and asthma symptoms. This may allow for a better classification of patients with rhinitis and asthma according to different levels of control, supporting improved disease management. (c) 2022 American Academy of Allergy, Asthma & Immunology (J Allergy Clin Immunol Pract 2023;11:1281-9)
Copyright © 2022 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.
Dados da publicação
- ISSN/ISSNe:
- 2213-2198, 2213-2201
- Tipo:
- Article
- Páginas:
- 1281-1281
- PubMed:
- 36566778
- Link para outro recurso:
- www.scopus.com
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE Elsevier
Citações Recebidas na Web of Science: 2
Citações Recebidas na Scopus: 11
Documentos
- Não há documentos
Filiações
Keywords
- Rhinitis; Asthma; Conjunctivitis; Cutoffs; MASK-air
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