Abstract (EN):
Background and Research questionWe aimed to assess whether levels of digital biomarkers can reflect monthly patterns of asthma controlStudy design and methodsWe performed a longitudinal study on patients with asthma and comorbid rhinitis who filled >= 26 days of data in a month in the MASK-air (R) app and who reported at least 1 day of treatment with an inhaled corticosteroid with or without a long-acting beta 2-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.ResultsWe 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'.ConclusionLevels of digital biomarkers reflect asthma control patterns and might be used to monitor patients with asthma.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
14