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
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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.</p><p><strong>Results: </strong>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' <i>versus</i> 'switchers'.</p><p><strong>Conclusion: </strong>Levels of digital biomarkers reflect asthma control patterns and might be used to monitor patients with asthma.</p>","PeriodicalId":54237,"journal":{"name":"Pulmonology","volume":"31 1","pages":"2532980"},"PeriodicalIF":6.4000,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Daily digital biomarkers in the follow-up and clustering of patients with asthma.\",\"authors\":\"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\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and research question: </strong>We aimed to assess whether levels of digital biomarkers can reflect monthly patterns of asthma control.</p><p><strong>Study design and methods: </strong>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 β<sub>2</sub>-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.</p><p><strong>Results: </strong>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. 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Daily digital biomarkers in the follow-up and clustering of patients with asthma.
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.
PulmonologyMedicine-Pulmonary and Respiratory Medicine
CiteScore
14.30
自引率
5.10%
发文量
159
审稿时长
19 days
期刊介绍：
Pulmonology (previously Revista Portuguesa de Pneumologia) is the official journal of the Portuguese Society of Pulmonology (Sociedade Portuguesa de Pneumologia/SPP). The journal publishes 6 issues per year and focuses on respiratory system diseases in adults and clinical research. It accepts various types of articles including peer-reviewed original articles, review articles, editorials, and opinion articles. The journal is published in English and is freely accessible through its website, as well as Medline and other databases. It is indexed in Science Citation Index Expanded, Journal of Citation Reports, Index Medicus/MEDLINE, Scopus, and EMBASE/Excerpta Medica.
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