ArticlePragmatic and observational research2025
Predicting Risk of Morbidities Associated with Oral Corticosteroid Prescription for Asthma.
Article in Pragmatic and observational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A clinician-oriented machine learning model for adult asthma exacerbation prediction: comparative analysis of nine algorithms.Journal of thoracic disease · 2026Article
- Estimation of Health Utility Values for Eosinophilic Granulomatosis With Polyangiitis.PharmacoEconomics - open · 2026Article
- Asthma and corticosteroids "Frontiers in allergy · 2026Review
- Unraveling the obesity-asthma link: A new horizon with glucagon-like peptide-1 receptor agonists in a complex intersection of metabolism and airway disease.The Journal of international medical research · 2025Review
- Review
- Effectiveness of adjunctive Xiao-er Kechuanling to terbutaline and montelukast in children with uncontrolled asthma: a prospective observational cohort study.Frontiers in pediatrics · 2025Article
- Phenotypic Age Acceleration and Risk of All-Cause and Cardiovascular Mortality in US Adults With Asthma: A Retrospective Cohort Study.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Oral corticosteroids (OCS) are commonly used to treat asthma but increase the risks for multiple morbidities; reducing OCS exposure may benefit patients. We analysed independent risk factors and longitudinal changes in OCS usage among patients with asthma to predict future risks of OCS-related adverse outcomes. Methods: Optimum Patient Care Research Database United Kingdom primary care electronic medical records (EMR) from January 1990 to June 2021 were used to select adults (18-93 years) with asthma who had follow-up data from ≥2 years before to ≥3 years after an index visit for active symptoms; this date was defined by the largest pre-visit to post-visit change in mean annual OCS use. OCS usage during every follow-up year was categorised as none, low (mean <2 prescriptions/year), or high (mean ≥2 prescriptions/year). Pre-index to post-index changes between usage categories were calculated. Risk modelling selected cohorts without 17 morbidities (documented pre-index) reported to be associated with OCS exposure, including type 2 diabetes, osteoporosis, hypertension, and pneumonia. Cox regression analyses selected published risk factors associated with each condition and available in EMR for inclusion in proportional hazards models. Results: The pre-index to post-index OCS usage category remained unchanged in 38.6% of patients, increased in 39.2%, and decreased in 22.2%, with 20.7% having no further OCS prescriptions. In models, the risks of all adverse outcomes increased with projected categoric OCS use; for example, hazard ratios for a one-category increment (none to low, low to high) were 1.55 (1.42-1.69) for type 2 diabetes, 1.56 (1.36-1.78) for post-menopausal osteoporosis, 1.05 (1.00-1.10) for hypertension, and 1.67 (1.52-1.83) for pneumonia (all p < 0.001). Conclusion: OCS exposure in this primary care asthma population usually continued longitudinally. Our models predict increased risk of multiple morbidities with higher projected OCS exposure. These findings support early initiation of strategies to minimise OCS use in asthma.
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