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NICOLA SCICHILONE

Daily digital biomarkers in the follow-up and clustering of patients with asthma

  • Autori: Sousa-Pinto, B.; Schleich, F.; Louis, G.; Gemicioglu, B.; Kvedariene, V.; Regateiro, F.S.; Chaves Loureiro, C.; Taborda-Barata, L.; Amaral, R.; Anto, J.M.; Bedbrook, A.; Czarlewski, W.; Ansotegui, I.J.; Bergmann, K.-.; Bonini, M.; Bossios, A.; Boulet, L.-.; Braido, F.; Brightling, C.; Brusselle, G.; Brussino, L.; Canonica, G.W.; Cruz, A.A.; Haahtela, T.; Heaney, L.G.; Hyland, M.; Ivancevich, J.C.; Klimek, L.; Kulus, M.; Kuna, P.; Kupczyk, M.; Larenas-Linnemann, D.E.; Makris, M.; Marques-Cruz, M.; Gil-Mata, S.; Morais-Almeida, M.; Niedoszytko, M.; Ollert, M.; Papadopoulos, N.G.; Patella, V.; Pfaar, O.; Porsbjerg, C.; Puggioni, F.; Quirce, S.; Robalo Cordeiro, C.; Roche, N.; Samolinski, B.; Sastre, J.; Scichilone, N.; Skrgat, S.; Toppila-Salmi, S.; Usmani, O.S.; Valiulis, A.; Gradauskiene, B.; Vardaloglu Koyuncu, I.; Ventura, M.T.; Vieira, R.J.; Yorgancioglu, A.; Fonseca, J.A.; Zuberbier, T.; Petre, B.; Louis, R.; Bousquet, J.
  • Anno di pubblicazione: 2025
  • Tipologia: Articolo in rivista
  • OA Link: http://hdl.handle.net/10447/698891

Abstract

Background and Research question: We aimed to assess whether levels of digital biomarkers can reflect monthly patterns of asthma control Study design and methods: We performed a longitudinal study on patients with asthma and comorbid rhinitis who filled ≥26 days of data in a month in the MASK-air® app and who reported at least 1 day of treatment with an inhaled corticosteroid with or without a long-acting β2-agonist (ICS ± LABA). We applied k-means cluster analysis to define clusters of months according to daily asthma control and medication use. Clusters were compared using digital biomarkers (visual analogue scale [VAS] on asthma symptoms and electronic daily asthma control score [e-DASTHMA]). We compared patients who did not switch with patients who switched their ICS ± LABA. Results: We assessed 243 patients and 1358 months. We identified three clusters of poor asthma control despite high ICS ± LABA adherence, one cluster of poor asthma control and poor ICS ± LABA adherence, one cluster of good asthma control and high ICS ± LABA adherence and one cluster of good asthma control despite poor ICS ± LABA adherence. These clusters displayed relevant differences in VAS asthma and e-DASTHMA levels. Similar clusters were found in ‘non-switchers’ versus ‘switchers’. Conclusion: Levels of digital biomarkers reflect asthma control patterns and might be used to monitor patients with asthma.