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Detection of novel drug-adverse drug reaction signals in rheumatoid arthritis and ankylosing spondylitis: analysis of Korean real-world biologics registry dataopen access

Authors
Kwon, M.Joung, C. I.Shin, H.Lee, C. C.Song, Y. S.Lee, Y. J.Kang, S.Kim, J. Y.Lee, S.
Issue Date
Feb-2024
Publisher
NATURE PORTFOLIO
Citation
SCIENTIFIC REPORTS, v.14, no.1
Journal Title
SCIENTIFIC REPORTS
Volume
14
Number
1
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90517
DOI
10.1038/s41598-024-52822-w
ISSN
2045-2322
Abstract
This study aimed to detect signals of adverse drug reactions (ADRs) associated with biological disease-modifying antirheumatic drugs (DMARDs) and targeted therapies in rheumatoid arthritis (RA) and ankylosing spondylitis (AS) patients. Utilizing the KOrean College of Rheumatology BIOlogics & Targeted Therapy Registry (KOBIO) data, we calculated relative risks, excluded previously reported drug-ADR pairs, and externally validated remaining pairs using US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and single centre's electronic health records (EHR) data. Analyzing data from 2279 RA and 1940 AS patients, we identified 35 significant drug-ADR pairs in RA and 26 in AS, previously unreported in drug labels. Among the novel drug-ADR pairs from KOBIO, 15 were also significant in the FAERS data. Additionally, 2 significant drug-laboratory abnormality pairs were found in RA using CDM MetaLAB analysis. Our findings contribute to the identification of 14 novel drug-ADR signals, expanding our understanding of potential adverse effects related to biological DMARDs and targeted therapies in RA and AS. These results emphasize the importance of ongoing pharmacovigilance for patient safety and optimal therapeutic interventions.
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College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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