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Cutoff Values of MASK-air Patient-Reported Outcome Measures

Title
Cutoff Values of MASK-air Patient-Reported Outcome Measures
Type
Article in International Scientific Journal
Year
2023
Authors
Sa Sousa, A
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Amaral, R
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FMUP
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Pereira, AM
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FMUP
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Anto, JM
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Klimek, L
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Czarlewski, W
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Mullol, J
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Pfaar, O
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Bedbrook, A
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Brussino, L
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Kvedariene, V
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Larenas Linnemann, DE
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Okamoto, Y
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Ventura, MT
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Ansotegui, IJ
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Bosnic Anticevich, S
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Canonica, GW
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Cardona, V
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Cecchi, L
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Chivato, T
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Cingi, C
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Costa, E
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FFUP
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Cruz, AA
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Del Giacco, S
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Devillier, P
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Fokkens, WJ
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Gemicioglu, B
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Haahtela, T
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Ivancevich, JC
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Kuna, P
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Kaidashev, I
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Kraxner, H
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Laune, D
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Louis, R
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Makris, M
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Monti, R
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Morais Almeida, M
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Mosges, R
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Niedoszytko, M
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Papadopoulos, NG
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Patella, V
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Pham Thi, N
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Regateiro, FS
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Reitsma, S
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Rouadi, PW
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Samolinski, B
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Sheikh, A
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Sova, M
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Taborda Barata, L
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Toppila Salmi, S
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Sastre, J
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Tsiligianni, I
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Valiulis, A
(Author)
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Yorgancioglu, A
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Zidarn, M
(Author)
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Zuberbier, T
(Author)
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Bousquet, J
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Journal
Vol. 11
Pages: 1281-+
ISSN: 2213-2198
Publisher: Elsevier
Other information
Authenticus ID: P-00X-P5V
Resumo (PT):
Abstract (EN): 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)
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 14
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