Cutoff Values of MASK-air Patient-Reported Outcome Measures.
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Sousa-Pinto Bernardo, Sá-Sousa Ana, Vieira Rafael José, Amaral Rita, Pereira Ana Margarida, Anto Josep M, Klimek Ludger, Czarlewski Wienczyslawa, Mullol Joaquim, Pfaar Oliver, Bedbrook Anna, Brussino Luisa, Kvedariene Violeta, Larenas-Linnemann Desirée E, Okamoto Yoshitaka, Ventura Maria Teresa, Ansotegui Ignacio J, Bosnic-Anticevich Sinthia, Canonica G Walter, Cardona Victoria, Cecchi Lorenzo, Chivato Tomas, Cingi Cemal, Costa Elísio M, Cruz Alvaro A, Del Giacco Stefano, Devillier Philippe, Fokkens Wytske J, Gemicioglu Bilun, Haahtela Tari, Ivancevich Juan Carlos, Kuna Piotr, Kaidashev Igor, Kraxner Helga, Laune Daniel, Louis Renaud, Makris Michael, Monti Riccardo, Morais-Almeida Mario, Mösges Ralph, Niedoszytko Marek, Papadopoulos Nikolaos G, Patella Vincenzo, Pham-Thi Nhân, Regateiro Frederico S, Reitsma Sietze, Rouadi Philip W, Samolinski Boleslaw, Sheikh Aziz, Sova Milan, Taborda-Barata Luis, Toppila-Salmi Sanna, Sastre Joaquin, Tsiligianni Ioanna, Valiulis Arunas, Yorgancioglu Arzu, Zidarn Mihaela, Zuberbier Torsten, Fonseca Joao A, Bousquet Jean
Аннотация
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 percentiles (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 sensitivity analyses for individual countries and for VAS levels corresponding to full allergy control. Finally, we tested the different approaches using MASK-air real-world cross-sectional and longitudinal 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 differentiating "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.