Multi-Biomarker Disease Activity and Autoantibody Status Lead to Cost Effective Tapering Algorithms in Rheumatoid Arthritis Patients in Sustained Remission

ANNALS OF THE RHEUMATIC DISEASES(2017)

引用 0|浏览8
暂无评分
摘要
Background Achieving remission is the ultimate treatment goal in patients with rheumatoid arthritis (RA). With the development and wider use of highly effective disease modifying anti-rheumatic drugs (DMARD) about half of RA patients reach the disease remission state (1), raising the question about tapering or stopping anti-rheumatic treatment and appropriate predictors (2). Objectives To analyse the effect of a risk-stratified DMARD tapering algorithm based on multiple-biomarker disease activity (MBDA) score and anti-citrullinated protein (ACPA) status for successful DMARD tapering and treatment cost reduction in RA patients in sustained remission enrolled in the prospective randomized controlled RETRO study (3,4). Methods MBDA scores and ACPA status were determined in the baseline samples of 146 patients in sustained remission. Patients either continued DMARDs (arm1), tapered dose by 50% (arm 2) or stopped DMARDs after tapering (arm 3) for one year according to the RETRO study protocol. Direct treatment costs (including testing costs at baseline) were evaluated every three months. MBDA and ACPA status were used as predictors creating a risk-stratified tapering algorithm based on relapse rates. Results RA patients with a low MBDA score ( Conclusions Combining MBDA score and ACPA status allows risk stratification for successful DMARD tapering and cost-effective use of biologic DMARD. Given that previous data of the RETRO have shown that patients relapsing after tapering their DMARDs respond well to their reintroduction, a stratified tapering and stopping of DMARDs is not only a cost economic but also clinically feasible strategy. References Aga AB et al. Ann Rheum Dis. 2013;74:381–8. Schett G et al. Ann Rheum Dis. 2016 Aug;75(8):1428–373. Haschka J et al, Ann Rheum Dis. 2016;75:45–51. Rech J et al, Ann Rheum Dis. 2015; Oct. 19. Disclosure of Interest None declared
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要