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

Bernardo Sousa-Pinto; Florence Schleich; Gilles Louis; Bilun Gemicioglu; Violeta Kvedarienė; Frederico S. Regateiro; Claudia Chaves Loureiro; Luis Taborda-Barata; Rita Amaral; Josep M. Antó; Anna Bedbrook; Wienczyslawa Czarlewski; Ignacio J. Ansotegui; Karl C. Bergmann; Matteo Bonini; Apostolos Bossios; Louis Philippe Boulet; Fulvio Braido; Christopher Brightling; Guy Brusselle; Luisa Brussino; G. Walter Canonica; Alvaro A. Cruz; Tari Haahtela; Liam G. Heaney; Michael Hyland; Juan Carlos Ivancevich; Ludger Klimek; Marek Kulus; Piotr Kuna; Maciej Kupczyk; Desiree E. Larenas-Linnemann; Michael Makris; Manuel Marques-Cruz; Sara Gil-Mata; Mário Morais-Almeida; Marek Niedoszytko; Markus Ollert; Nikolaos G. Papadopoulos; Vincenzo Patella; Oliver Pfaar; Celeste Porsbjerg; Francesca Puggioni; Santiago Quirce; Carlos Robalo Cordeiro; Nicolas Roche; Boleslaw Samolinski; Joaquin Sastre; Nicola Scichilone; Sabina Skrgat; Sanna Toppila-Salmi; Omar S. Usmani; Arunas Valiulis; Brigita Gradauskiene; Ilgim Vardaloğlu Koyuncu; Maria Teresa Ventura; Rafael José Vieira; Arzu Yorgancioglu; João A. Fonseca; Torsten Zuberbier; Benoit Pétré; Renaud Louis; Jean Bousquet

doi:10.1080/25310429.2025.2532980

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

Bernardo Sousa-Pinto, Florence Schleich, Gilles Louis, Bilun Gemicioglu, Violeta Kvedarienė, Frederico S. Regateiro, Claudia Chaves Loureiro, Luis Taborda-Barata, Rita Amaral, Josep M. Antó, Anna Bedbrook, Wienczyslawa Czarlewski, Ignacio J. Ansotegui, Karl C. Bergmann, Matteo Bonini, Apostolos Bossios, Louis Philippe Boulet, Fulvio Braido, Christopher Brightling, Guy BrusselleLuisa Brussino, G. Walter Canonica, Alvaro A. Cruz, Tari Haahtela, Liam G. Heaney, Michael Hyland, Juan Carlos Ivancevich, Ludger Klimek, Marek Kulus, Piotr Kuna, Maciej Kupczyk, Desiree E. Larenas-Linnemann, Michael Makris, Manuel Marques-Cruz, Sara Gil-Mata, Mário Morais-Almeida, Marek Niedoszytko, Markus Ollert, Nikolaos G. Papadopoulos, Vincenzo Patella, Oliver Pfaar, Celeste Porsbjerg, Francesca Puggioni, Santiago Quirce, Carlos Robalo Cordeiro, Nicolas Roche, Boleslaw Samolinski, Joaquin Sastre, Nicola Scichilone, Sabina Skrgat, Sanna Toppila-Salmi, Omar S. Usmani, Arunas Valiulis, Brigita Gradauskiene, Ilgim Vardaloğlu Koyuncu, Maria Teresa Ventura, Rafael José Vieira, Arzu Yorgancioglu, João A. Fonseca, Torsten Zuberbier, Benoit Pétré, Renaud Louis, Jean Bousquet^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

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.

Original language	English
Article number	2532980
Journal	Pulmonology
Volume	31
Issue number	1
DOIs	https://doi.org/10.1080/25310429.2025.2532980
Publication status	Published - 2025
Externally published	Yes

Keywords

Asthma
PROMs
electronic symptom-medication score
inhaled corticosteroids
mHealth

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10.1080/25310429.2025.2532980

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Sousa-Pinto, B., Schleich, F., Louis, G., Gemicioglu, B., Kvedarienė, V., Regateiro, F. S., Chaves Loureiro, C., Taborda-Barata, L., Amaral, R., Antó, J. M., Bedbrook, A., Czarlewski, W., Ansotegui, I. J., Bergmann, K. C., Bonini, M., Bossios, A., Boulet, L. P., Braido, F., Brightling, C., ... Bousquet, J. (2025). Daily digital biomarkers in the follow-up and clustering of patients with asthma. Pulmonology, 31(1), Article 2532980. https://doi.org/10.1080/25310429.2025.2532980

@article{9a6218d97d66476ebe8186652d0fd7cd,

title = "Daily digital biomarkers in the follow-up and clustering of patients with asthma",

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{\textregistered} 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 {\textquoteleft}non-switchers{\textquoteright} versus {\textquoteleft}switchers{\textquoteright}. 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",

author = "Bernardo Sousa-Pinto and Florence Schleich and Gilles Louis and Bilun Gemicioglu and Violeta Kvedarienė and Regateiro, \{Frederico S.\} and \{Chaves Loureiro\}, Claudia and Luis Taborda-Barata and Rita Amaral and Ant{\'o}, \{Josep M.\} and Anna Bedbrook and Wienczyslawa Czarlewski and Ansotegui, \{Ignacio J.\} and Bergmann, \{Karl C.\} and Matteo Bonini and Apostolos Bossios and Boulet, \{Louis Philippe\} and Fulvio Braido and Christopher Brightling and Guy Brusselle and Luisa Brussino and Canonica, \{G. Walter\} and Cruz, \{Alvaro A.\} and Tari Haahtela and Heaney, \{Liam G.\} and Michael Hyland and Ivancevich, \{Juan Carlos\} and Ludger Klimek and Marek Kulus and Piotr Kuna and Maciej Kupczyk and Larenas-Linnemann, \{Desiree E.\} and Michael Makris and Manuel Marques-Cruz and Sara Gil-Mata and M{\'a}rio Morais-Almeida and Marek Niedoszytko and Markus Ollert and Papadopoulos, \{Nikolaos G.\} and Vincenzo Patella and Oliver Pfaar and Celeste Porsbjerg and Francesca Puggioni and Santiago Quirce and \{Robalo Cordeiro\}, Carlos and Nicolas Roche and Boleslaw Samolinski and Joaquin Sastre and Nicola Scichilone and Sabina Skrgat and Sanna Toppila-Salmi and Usmani, \{Omar S.\} and Arunas Valiulis and Brigita Gradauskiene and \{Vardaloğlu Koyuncu\}, Ilgim and Ventura, \{Maria Teresa\} and Vieira, \{Rafael Jos{\'e}\} and Arzu Yorgancioglu and Fonseca, \{Jo{\~a}o A.\} and Torsten Zuberbier and Benoit P{\'e}tr{\'e} and Renaud Louis and Jean Bousquet",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s). Published by Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2025",

doi = "10.1080/25310429.2025.2532980",

language = "English",

volume = "31",

journal = "Pulmonology",

issn = "2531-0429",

publisher = "Taylor and Francis Ltd.",

number = "1",

}

Sousa-Pinto, B, Schleich, F, Louis, G, Gemicioglu, B, Kvedarienė, V, Regateiro, FS, Chaves Loureiro, C, Taborda-Barata, L, Amaral, R, Antó, JM, Bedbrook, A, Czarlewski, W, Ansotegui, IJ, Bergmann, KC, Bonini, M, Bossios, A, Boulet, LP, Braido, F, Brightling, C, Brusselle, G, Brussino, L, Canonica, GW, Cruz, AA, Haahtela, T, Heaney, LG, Hyland, M, Ivancevich, JC, Klimek, L, Kulus, M, Kuna, P, Kupczyk, M, Larenas-Linnemann, DE, Makris, M, Marques-Cruz, M, Gil-Mata, S, Morais-Almeida, M, Niedoszytko, M, Ollert, M, Papadopoulos, NG, 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, OS, Valiulis, A, Gradauskiene, B, Vardaloğlu Koyuncu, I, Ventura, MT, Vieira, RJ, Yorgancioglu, A, Fonseca, JA, Zuberbier, T, Pétré, B, Louis, R & Bousquet, J 2025, 'Daily digital biomarkers in the follow-up and clustering of patients with asthma', Pulmonology, vol. 31, no. 1, 2532980. https://doi.org/10.1080/25310429.2025.2532980

TY - JOUR

T1 - Daily digital biomarkers in the follow-up and clustering of patients with asthma

AU - Sousa-Pinto, Bernardo

AU - Schleich, Florence

AU - Louis, Gilles

AU - Gemicioglu, Bilun

AU - Kvedarienė, Violeta

AU - Regateiro, Frederico S.

AU - Chaves Loureiro, Claudia

AU - Taborda-Barata, Luis

AU - Amaral, Rita

AU - Antó, Josep M.

AU - Bedbrook, Anna

AU - Czarlewski, Wienczyslawa

AU - Ansotegui, Ignacio J.

AU - Bergmann, Karl C.

AU - Bonini, Matteo

AU - Bossios, Apostolos

AU - Boulet, Louis Philippe

AU - Braido, Fulvio

AU - Brightling, Christopher

AU - Brusselle, Guy

AU - Brussino, Luisa

AU - Canonica, G. Walter

AU - Cruz, Alvaro A.

AU - Haahtela, Tari

AU - Heaney, Liam G.

AU - Hyland, Michael

AU - Ivancevich, Juan Carlos

AU - Klimek, Ludger

AU - Kulus, Marek

AU - Kuna, Piotr

AU - Kupczyk, Maciej

AU - Larenas-Linnemann, Desiree E.

AU - Makris, Michael

AU - Marques-Cruz, Manuel

AU - Gil-Mata, Sara

AU - Morais-Almeida, Mário

AU - Niedoszytko, Marek

AU - Ollert, Markus

AU - Papadopoulos, Nikolaos G.

AU - Patella, Vincenzo

AU - Pfaar, Oliver

AU - Porsbjerg, Celeste

AU - Puggioni, Francesca

AU - Quirce, Santiago

AU - Robalo Cordeiro, Carlos

AU - Roche, Nicolas

AU - Samolinski, Boleslaw

AU - Sastre, Joaquin

AU - Scichilone, Nicola

AU - Skrgat, Sabina

AU - Toppila-Salmi, Sanna

AU - Usmani, Omar S.

AU - Valiulis, Arunas

AU - Gradauskiene, Brigita

AU - Vardaloğlu Koyuncu, Ilgim

AU - Ventura, Maria Teresa

AU - Vieira, Rafael José

AU - Yorgancioglu, Arzu

AU - Fonseca, João A.

AU - Zuberbier, Torsten

AU - Pétré, Benoit

AU - Louis, Renaud

AU - Bousquet, Jean

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Asthma

KW - PROMs

KW - electronic symptom-medication score

KW - inhaled corticosteroids

KW - mHealth

UR - https://www.scopus.com/pages/publications/105011963421

U2 - 10.1080/25310429.2025.2532980

DO - 10.1080/25310429.2025.2532980

M3 - Article

AN - SCOPUS:105011963421

SN - 2531-0429

VL - 31

JO - Pulmonology

JF - Pulmonology

IS - 1

M1 - 2532980

ER -

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

Abstract

Keywords

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