Using real-world data to dynamically predict flares during tapering of biological DMARDs in rheumatoid arthritis: development, validation, and potential impact of prediction-aided decisions

Using real-world data to dynamically predict flares during tapering of biological DMARDs in rheumatoid arthritis: development, validation, and potential impact of prediction-aided decisions

Abstract Background Biological disease-modifying antirheumatic drugs (bDMARDs) are effective in the treatment of rheumatoid arthritis. However, as bDMARDs may also lead to adverse events and are expensive, tapering them is of great clinical interest. Tapering according to disease activity-guided dos...

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Bibliographic Details
Main Authors: Matthijs S. van der Leeuw, Marianne A. Messelink, Janneke Tekstra, Ojay Medina, Jaap M. van Laar, Saskia Haitjema, Floris Lafeber, Josien J. Veris-van Dieren, Marlies C. van der Goes, Alfons A. den Broeder, Paco M. J. Welsing
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Arthritis Research & Therapy
Subjects:
Rheumatoid arthritis
Predictive algorithm
Tapering bDMARD therapy
Applied data analytics in medicine
Biologicals
Online Access:https://doi.org/10.1186/s13075-022-02751-8

Internet

https://doi.org/10.1186/s13075-022-02751-8

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