Asthma is a common, multifaceted respiratory disease with a major impact on quality of life. Despite increased insights into mechanisms underlying various asthma phenotypes and endotypes and the availability of targeted biologic treatment options, the disease remains uncontrolled in a substantial proportion of patients with risk of exacerbations, requiring systemic corticosteroids, and with progressive disease. Current international guidelines advocate for a personalized management approach to patients with uncontrolled severe asthma. The European Forum for Research and Education in Allergy and Airway Diseases (EUFOREA) asthma expert panel was convened to discuss strategies to optimize asthma care and to prevent systemic corticosteroid overuse and disease progression. In this meeting report, we summarize current concepts and recommendations and provide a rationale to implement personalized asthma management at earlier stages of the disease. The ultimate goal is to move away from the current one-size-fits-most concept, which focuses on a symptom-driven treatment strategy, and shift toward a phenotype- and endotype-targeted approach aimed at curbing the disease course by improving clinical outcomes and preserving health-related quality of life. Herein, we provide a consensus view on asthma care that advocates a holistic approach and highlight some unmet needs to be addressed in future clinical trials and population studies.
- MeSH
- antiastmatika * terapeutické užití MeSH
- bronchiální astma * prevence a kontrola terapie farmakoterapie MeSH
- individualizovaná medicína MeSH
- indukce remise MeSH
- konsensus MeSH
- kvalita života MeSH
- lidé MeSH
- management nemoci MeSH
- progrese nemoci MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- konsensus - konference MeSH
- MeSH
- bronchiální astma * diagnóza terapie MeSH
- lidé MeSH
- pacienti MeSH
- praktičtí lékaři * MeSH
- stupeň vzdělání MeSH
- zdravotničtí záchranáři MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH