Abstract

Background: Characterization of regional variation in asthma treatment across Germany will improve understanding of real-world therapy and inform physician education. Aims and Objectives: We aimed to describe regional variation in asthma prevalence and oral corticosteroid (OCS) use in Germany. Methods: We developed a machine learning gradient boosted tree model, with 91% accuracy in predicting the presence of asthma and COPD, using IMS® Disease Analyzer electronic medical records, which cover 3% of German patients. This model was applied to the IMS Longitudinal Prescription database, with 75% national coverage, to classify patients receiving airflow obstruction treatment from Oct 2017–Sept 2018 in 63 regions. Results: Of 2.4 million patients predicted to have asthma, 13.7%, 18.7%, 36.5%, 29.4%, and 1.7% were categorized as GINA stages 1, 2, 3, 4, and 5, respectively. At least one short-term OCS prescription was received by 7–15% of patients in GINA stages 1–4 and 35% of patients in stage 5. At least one maintenance OCS prescription was received by 1–3% of patients in GINA stages 1–4 and 86% in stage 5. Cumulative OCS dosage and percentage of OCS-treated patients differed substantially across regions (figure). Regions with less maintenance OCS use had greater biologic use. Conclusions: Maintenance and short-term OCS use varied across Germany and were greater than recommended by guidelines across the spectrum of asthma severity.

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