Efficacy and safety of JAK inhibitors in rheumatoid arthritis: update for the practising clinician.
Zoltán SzekaneczMaya H BuchChristina Charles-SchoemanJames B GallowayGeorge Athanasios KarpouzasLars Erik KristensenSteven R YtterbergAttila HamarRoy M FleischmannPublished in: Nature reviews. Rheumatology (2024)
Janus kinase (JAK) inhibitors, including tofacitinib, baricitinib, upadacitinib and filgotinib, are increasingly used in the treatment of rheumatoid arthritis (RA). There has been debate about their safety, particularly following the issuance of guidance by regulatory agencies advising caution in their use in certain patients. The registrational clinical trials and registry data of JAK inhibitors did not identify a difference in the risk of major adverse cardiovascular events (MACEs), venous thromboembolism, malignancies or infections (other than herpes zoster) with a JAK inhibitor versus a biologic DMARD. In the ORAL Surveillance trial, which enrolled patients >50 years of age with ≥1 cardiovascular risk factor, tofacitinib was statistically inferior to TNF inhibitors for the occurrence of MACEs and malignancy. Further post hoc analysis of the data revealed that an age of ≥65 years, a high baseline cardiovascular risk, a history of smoking, sustained inflammation, disease activity and suboptimal treatment of cardiovascular comorbidities all increase the risk of these outcomes. The guidance issued by regulatory agencies should be carefully considered to ensure appropriate and safe treatment of patients with RA without undertreatment of patients who might benefit from JAK inhibitor, as well as biologic, treatment. As always, the risks associated with the use of these agents, treatment goals, costs and patient preferences should be discussed with the patient.
Keyphrases
- rheumatoid arthritis
- disease activity
- clinical trial
- cardiovascular events
- venous thromboembolism
- systemic lupus erythematosus
- risk factors
- end stage renal disease
- ankylosing spondylitis
- newly diagnosed
- ejection fraction
- cardiovascular disease
- machine learning
- prognostic factors
- chronic kidney disease
- big data
- case report
- risk assessment
- emergency department
- adipose tissue
- randomized controlled trial
- climate change
- replacement therapy
- phase iii
- artificial intelligence
- peritoneal dialysis
- data analysis
- phase ii
- tyrosine kinase
- open label
- double blind