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
- 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
Campos de estudo
Proyectos asociados
Prevalence and Characterisation of Asthma Patients According to Disease Severity in Portugal (EPI-ASTHMA) - NCT05169619
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Observacional (EPI-ASTHMA) . AstraZeneca . 2021
Effect of a Mobile App on Improving Asthma Control in Adolescents and Adults With Persistent Asthma: A Pilot Randomized Multicentre, Superiority Clinical Trial (mINSPIRERS) - NCT05129527
Investigador Principal: João de Almeida Lopes da Fonseca
Ensaio Clínico Académico (mINSPIRERS) . 2021
Utilização em estudos observacionais do Registo de Asma Grave Portugal.
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Observacional Académico (RAG) . 2020
Clinical Research Collaboration Severe Heterogenous Asthma Research collaboration, Patient-centered (CRC SHARP).
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Observacional (SHARP) . European Respiratory Society . 2021
Multidimensional phenotyping of severe asthma patients and its impact on disease control and therapeutic response - analysis from the Portuguese Severe Asthma Registry.
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Observacional (RAG-SPP-GSK) . SPPneumologia . 2022
BREATHE - An oBservational, pRimary data study to characterize severe AsThma pHenotypes and assEss disease burden across the EUCAN region.
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Observacional (RAG-AZ-BREATHE) . AstraZeneca . 2022
Seroprevalence of SARS-CoV-2 and assessment of epidemiologic determinants in Portuguese municipal workers
Investigador Principal: Bernardo Manuel De Sousa Pinto
Estudo Clínico Académico (SARS-CoV-2) . 2021
Efficiency in Spine Care ? Assessing outcomes and costs to inform healthcare improvement
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Académico . 2022
Use of secondary data, health technology assessment methods and economic modelling applied to penicillin allergy
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Académico . 2020
Using different data sources for the identification of asthma patients and those at high risk of adverse outcomes
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Académico . 2020
Phenotypes of Chronic Diseases of the Airways: Towards Multidimensional Data -Driven Profiling
Investigador Principal: João de Almeida Lopes da Fonseca
Estudo Clínico Académico . 2020
Citar a publicação
Sousa B,Sa A,Vieira R,Amaral R,Pereira A,Anto JM,Klimek L,Czarlewski W,Mullol J,Pfaar O,Bedbrook A,Brussino L,Kvedariene V,Larenas DE,Okamoto Y,Ventura MT,Ansotegui IJ,Bosnic 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 M,Mosges R,Niedoszytko M,Papadopoulos NG,Patella V,Pham N,Regateiro FS,Reitsma S,Rouadi PW,Samolinski B,Sheikh A,Sova M,Taborda L,Toppila S,Sastre J,Tsiligianni I,Valiulis A,Yorgancioglu A,Zidarn M,Zuberbier T,Fonseca J,Bousquet J. Cutoff Values of MASK-air Patient-Reported Outcome Measures. J. Allergy Clin. Immunol. Pract. 2023. 11. (4):p. 1281-1281. IF:9,400. (1).
