A Bayesian model to analyse the association of comorbidities with biosimilar treatment retention in a non-medical switch scenario in patients with inflammatory rheumatic musculoskeletal diseases
Imke Redeker, Stefan Moustakis, Styliani Tsiami, Xenofon Baraliakos, David Kiefer, Ioana Andreica, Björn Buehring, Jürgen Braun, Uta Kiltz

TL;DR
This study examines how comorbidities affect treatment retention after switching from adalimumab to its biosimilar in patients with inflammatory rheumatic diseases.
Contribution
The paper introduces a Bayesian model to assess the impact of comorbidities on biosimilar treatment retention in a non-medical switch scenario.
Findings
74.8% of patients continued biosimilar treatment after 6 months.
Comorbidities had a minimal impact on treatment retention rates.
Cardiovascular conditions were the most common comorbidity among patients.
Abstract
To analyse clinical outcomes of a non-medical switch from originator adalimumab (ADA) to its ABP501 biosimilar (ABP) over 6 months in patients with inflammatory rheumatic musculoskeletal diseases (RMD) in relation to comorbidity as a risk factor for therapy discontinuation. RMD patients switching from originator ADA to ABP were identified from a large routine database from October 2018 onwards. Documented clinical data at the time of non-medical switching (baseline), and at 3 and 6 months were collected. Comorbidities were represented by the Charlson Comorbidity Index (CCI) at baseline and patients were categorized based on CCI > 0. Differences in the ABP retention rate over 6 months between patients with CCI = 0 and patients with CCI > 0 were analysed using Bayesian exponential regression. A total of 111 patients with axial spondyloarthritis (n = 68), rheumatoid arthritis (n = 23)…
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Taxonomy
TopicsRheumatoid Arthritis Research and Therapies · Biosimilars and Bioanalytical Methods · Spondyloarthritis Studies and Treatments
