1. Prevention of disease flares by risk-adapted stratification of therapy withdrawal in juvenile idiopathic arthritis: results from the PREVENT-JIA trial.
- Author
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Gerss J, Tedy M, Klein A, Horneff G, Miranda-Garcia M, Kessel C, Holzinger D, Stanevica V, Swart JF, Cabral DA, Brunner HI, and Foell D
- Subjects
- Biomarkers, C-Reactive Protein, Child, Humans, S100A12 Protein, Symptom Flare Up, Treatment Outcome, Antirheumatic Agents therapeutic use, Arthritis, Juvenile drug therapy
- Abstract
Objectives: To investigate the ability of high-sensitivity C-reactive protein (hsCRP) and S100A12 to serve as predictive biomarkers of successful drug withdrawal in children with clinical remission of juvenile idiopathic arthritis (JIA)., Methods: This multicentre trial (PREVENT-JIA) enrolled 119 patients with JIA in clinical remission, and 100 patients reached the intervention phase in which the decision whether to continue or stop treatment was based on S100A12 and hsCRP levels. Patients were monitored for 12 months after stopping medication for flares of disease. Results were compared with withdrawal of therapy without biomarker-based stratification in patients from the German Biologika in der Kinderrheumatologie (BiKeR) pharmacovigilance registry., Results: In the PREVENT-JIA group, 49 patients had a flare, and 45% of patients stopping medication showed flares within the following 12 months. All patients (n=8) continuing therapy due to permanently elevated S100A12/hsCRP at more than one visit flared during the observation phase. In the BiKeR control group, the total flare rate was 62%, with 60% flaring after stopping medication. The primary outcome, time from therapy withdrawal to first flare (cumulative flare rate after therapy withdrawal), showed a significant difference in favour of the PREVENT-JIA group (p=0.046; HR 0.62, 95% CI 0.38 to 0.99). As additional finding, patients in the PREVENT-JIA trial stopped therapy significantly earlier., Conclusion: Biomarker-guided strategies of therapy withdrawal are feasible in clinical practice. This study demonstrates that using predictive markers of subclinical inflammation is a promising tool in the decision-making process of therapy withdrawal, which translates into direct benefit for patients., Trial Registration Number: ISRCTN69963079., Competing Interests: Competing interests: JG has received honoraria from TESARO, QUIRIS Healthcare, Ecker+Ecker, Dr August Wolff, Roche, University Clinics Schleswig‐Holstein and RWTH Aachen University, Germany; GH has received research grants from Pfizer, Merck Sharp Dome, Novartis and Roche and honoraria from Bayer, Chugai, Janssen, Pfizer, Sanofi, Sobi Swedish Orphan and Novartis; CK has received honararia from Novartis and SOBI and research support from Novartis; JFS has received consultancy fees from Amgen; HIB has received speaking fees from Novartis, Pfizer and GlaxoSmithKline and consultancy fees/honoraria from AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Eli Lilly, EMD Serono, Idorsia, Cerocor, Janssen, GlaxoSmithKline, F Hoffmann-La Roche, Merck, Novartis, R-Pharm and Sanofi, while The Cincinnati Children’s Hospital, where HIB works as a full-time public employee, has received contributions from Bristol Myers Squibb, F Hoffmann-La Roche, Janssen, Novartis and Pfizer; DF has received research grants from Pfizer, Sobi Swedish Orphan and Novartis, and he has received speaking fees from Sobi Swedish Orphan, Novartis and Werfen as well as consultancy fees/honoraria from Boehringer; The other authors declare that they have no competing interests., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2022
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