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

IF 6.4 2区 医学 Q1 RESPIRATORY SYSTEM
Pulmonology Pub Date : 2025-12-31 Epub Date: 2025-07-28 DOI:10.1080/25310429.2025.2532980
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
{"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. 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":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pulmonology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/25310429.2025.2532980","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

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.

哮喘患者随访和聚类中的每日数字生物标志物。
背景和研究问题:我们旨在评估数字生物标志物的水平是否可以反映哮喘控制的月度模式。研究设计和方法:我们对哮喘和共病性鼻炎患者进行了一项纵向研究,这些患者在一个月内在MASK-air®应用程序中填写了≥26天的数据,并且报告至少接受了1天的吸入皮质类固醇治疗,并有或没有长效β2激动剂(ICS±LABA)。我们采用k-均值聚类分析,根据每日哮喘控制和药物使用情况来定义月聚类。使用数字生物标志物(哮喘症状视觉模拟量表[VAS]和电子每日哮喘控制评分[e-DASTHMA])对聚类进行比较。我们比较了未切换的患者和切换ICS±LABA的患者。结果:我们评估了243例患者,历时1358个月。我们确定了3组高ICS±LABA依从性哮喘控制不良的患者,1组低ICS±LABA依从性哮喘控制不良的患者,1组高ICS±LABA依从性哮喘控制良好的患者,1组高ICS±LABA依从性哮喘控制良好的患者,1组低ICS±LABA依从性哮喘控制良好的患者。这些集群在VAS哮喘和e-DASTHMA水平上存在相关差异。在“非转换者”和“转换者”中也发现了类似的集群。结论:数字生物标志物水平反映哮喘控制模式,可用于哮喘患者的监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Pulmonology
Pulmonology Medicine-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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信