Managing inadequate response to initial anti-TNF therapy in rheumatoid arthritis: optimising treatment outcomes.

Ther Adv Musculoskelet Dis

Skeletal Biology and Engineering Research Center, Department of Development and Regeneration and Division of Rheumatology, KU Leuven, Leuven, Belgium.

Published: August 2022

AI Article Synopsis

  • Anti-TNF drugs are commonly used to treat rheumatoid arthritis (RA) and have a good track record for helping patients over the past 20 years.
  • However, some patients (up to 40%) might not get better with these drugs for different reasons, like not responding well or having side effects.
  • Doctors can decide to change the treatment to a different anti-TNF or try other types of drugs, and they need to think about each patient's unique situation when making these choices.

Article Abstract

Anti-tumour necrosis factors (anti-TNFs) are established as first-line biological therapy for rheumatoid arthritis (RA) with over two decades of accumulated clinical experience. Anti-TNFs have well established efficacy/safety profiles along with additional benefits on various comorbidities. However, up to 40% of patients may respond inadequately to an initial anti-TNF treatment because of primary non-response, loss of response, or intolerance. Following inadequate response (IR) to anti-TNF treatment, clinicians can consider switching to an alternative anti-TNF (cycling) or to another class of targeted drug with a different mechanism of action, such as Janus kinase inhibitors, interleukin-6 receptor blockers, B-cell depletion agents, and co-stimulation inhibitors (swapping). While European League Against Rheumatism recommendations for pharmacotherapeutic management of RA, published in 2020, are widely regarded as helpful guides to clinical practice, they do not provide any clear recommendations on therapeutic choices following an IR to first-line anti-TNF. This suggests that both cycling and swapping treatment strategies are of equal value, but that the treating physician must take the patient's individual characteristics into account. This article considers which patient characteristics influence clinical decision-making processes, including the reason for treatment failure, previous therapies, comorbidities, extra-articular manifestations, pregnancy, patient preference and cost-effectiveness, and what evidence is available to support decisions made by the physician.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386864PMC
http://dx.doi.org/10.1177/1759720X221114101DOI Listing

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