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. 2025 Dec 31;31(1):2532980.
doi: 10.1080/25310429.2025.2532980. Epub 2025 Jul 28.

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

Bernardo Sousa-Pinto  1   2 Florence Schleich  3   4 Gilles Louis  4   5 Bilun Gemicioglu  6   7 Violeta Kvedarienė  8   9 Frederico S Regateiro  10   11   12 Claudia Chaves Loureiro  11   13 Luis Taborda-Barata  14   15 Rita Amaral  1   2 Josep M Antó  16   17   18 Anna Bedbrook  19 Wienczyslawa Czarlewski  19   20 Ignacio J Ansotegui  21 Karl-C Bergmann  22   23 Matteo Bonini  24   25 Apostolos Bossios  26   27 Louis-Philippe Boulet  28 Fulvio Braido  29   30 Christopher Brightling  31 Guy Brusselle  32 Luisa Brussino  33   34 G Walter Canonica  35   36 Alvaro A Cruz  37 Tari Haahtela  38 Liam G Heaney  39 Michael Hyland  40 Juan Carlos Ivancevich  41 Ludger Klimek  42   43 Marek Kulus  44 Piotr Kuna  45 Maciej Kupczyk  45 Desiree E Larenas-Linnemann  46 Michael Makris  47 Manuel Marques-Cruz  1   2 Sara Gil-Mata  1   2 Mário Morais-Almeida  48 Marek Niedoszytko  49 Markus Ollert  50   51 Nikolaos G Papadopoulos  52 Vincenzo Patella  53   54   55 Oliver Pfaar  56 Celeste Porsbjerg  57 Francesca Puggioni  36 Santiago Quirce  13 Carlos Robalo Cordeiro  58 Nicolas Roche  59   60   61 Boleslaw Samolinski  62 Joaquin Sastre  63 Nicola Scichilone  64 Sabina Skrgat  65   66 Sanna Toppila-Salmi  67   68 Omar S Usmani  25   69 Arunas Valiulis  70   71 Brigita Gradauskiene  72 Ilgim Vardaloğlu Koyuncu  6 Maria Teresa Ventura  73   74 Rafael José Vieira  1   2 Arzu Yorgancioglu  75 João A Fonseca  1   2 Torsten Zuberbier  22   23 Benoit Pétré  5 Renaud Louis  4   5 Jean Bousquet  19   22   23
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Free article

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

Bernardo Sousa-Pinto et al. Pulmonology. .
Free article

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.

Keywords: Asthma; PROMs; electronic symptom-medication score; inhaled corticosteroids; mHealth.

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