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Objective: Patients with severe asthma require high-dose inhaled corticosteroids, with or without add-on treatments, to maintain asthma control. Because symptom control remains unsatisfactory in some patients despite these therapies, maintenance therapy with oral corticosteroids (OCS) remains considered a treatment option by physicians. Besides physician-diagnosed exacerbations, many patients intermittently self-medicate with OCS during episodes of worsening symptoms or as a prevention of such episodes. However, long-term OCS use is associated with several comorbidities that may decrease health-related quality of life, worsen prognosis, and should ideally require monitoring and management. In this review, we discuss the adverse effects of OCS use, the OCS-sparing effect of biologics in severe asthma, and the need for optimal referral pathways to ensure the best outcomes for those at-risk asthma patients.
Data Sources: PubMed.
Study Selection: Studies with results on the OCS-sparing effect of biologics in adult severe asthma were selected.
Results: Chronic and intermittent OCS use in asthma is associated with considerable adverse effects in asthma. Omalizumab, mepolizumab, benralizumab, and dupilumab reduce the need for OCS in severe asthma, while also reducing the exacerbation rate and improving several patient-related outcomes.
Conclusion: Targeted biologic therapies have revolutionized the treatment of uncontrolled severe asthma by reducing or even eliminating the need for OCS and improving other major outcomes. Novel agents are now rapidly increasing the therapeutic armamentarium, but additional efforts are needed to optimize referral pathways in order to ensure sustainable access to these therapies.
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http://dx.doi.org/10.1080/02770903.2019.1705335 | DOI Listing |
Immunotherapy
September 2025
aGuangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Asthma is a chronic respiratory disorder characterized by airway inflammation, hyperresponsiveness, and reversible airflow obstruction. Despite therapeutic strategies, asthma remains inadequately controlled in many patients. Genetic predisposition plays a significant role in asthma pathogenesis, and the Proteinase-Activated Receptor 2 (PAR-2), encoded by the F2RL1 gene, has been associated with asthma.
View Article and Find Full Text PDFThorax
September 2025
Usher Institute, The University of Edinburgh, Edinburgh, UK
Background: The long-acting monoclonal antibody nirsevimab and respiratory syncytial virus (RSV) vaccines became available for prevention of severe RSV-associated disease in 2023. While clinical trials showed good efficacy and safety, their restrictive inclusion criteria, small sample sizes and short follow-up limit generalisability. We aimed to summarise real-world evidence on the effectiveness and safety of nirsevimab, RSV maternal vaccine and RSV vaccines for older adults.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
September 2025
Sanofi, Cambridge, Massachusetts, USA.
Purpose: Given the increased likelihood for individuals with severe asthma to experience comorbidities, disease complications, emergency room visits, and hospitalizations, the ability to stratify asthma populations on severity is often important. Although pharmacoepidemiologic studies using administrative healthcare databases sometimes categorize asthma severity, there is no consensus on an approach.
Methods: Individuals with asthma (≥ 2 ICD-10-CM diagnosis codes J45) aged ≥ 6 years were identified in Optum's de-identified Clinformatics Data Mart Database between January 2017 and November 2023.
J Allergy Clin Immunol
September 2025
Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA. Electronic address:
Background: Genetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.
Objective: To create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study to discover candidate asthma genes.
Methods: We developed and validated gene expression prediction databases for unstimulated CD4+ T cells and nasal epithelium using an elastic net framework.