医学
类风湿性关节炎
阿巴塔克普
临床试验
疾病
人口
亚临床感染
托珠单抗
美罗华
重症监护医学
物理疗法
内科学
免疫学
环境卫生
淋巴瘤
作者
Kevin D. Deane,V. Michael Holers,Paul Emery,Kulveer Mankia,Hani El‐Gabalawy,Jeffrey A. Sparks,Karen H. Costenbader,Georg Schett,Annette H M van der Helm–van Mil,Dirkjan van Schaardenburg,Ranjeny Thomas,Andrew P. Cope
标识
DOI:10.1136/ard-2023-224211
摘要
Multiple clinical trials for rheumatoid arthritis (RA) prevention have been completed. Here, we set out to report on the lessons learnt from these studies. Researchers who conducted RA prevention trials shared the background, rationale, approach and outcomes and evaluated the lessons learnt to inform the next generation of RA prevention trials. Individuals at risk of RA can be identified through population screening, referrals to musculoskeletal programmes and by recognition of arthralgia suspicious for RA. Clinical trials in individuals at risk for future clinical RA have demonstrated that limited courses of corticosteroids, atorvastatin and hydroxychloroquine do not alter incidence rates of clinical RA; however, rituximab delays clinical RA onset, and methotrexate has transient effects in individuals who are anticitrullinated protein antibody-positive with subclinical joint inflammation identified by imaging. Abatacept delays clinical RA onset but does not fully prevent onset of RA after treatment cessation. Additionally, subclinical joint inflammation and symptoms appear responsive to interventions such as methotrexate and abatacept. To advance prevention, next steps include building networks of individuals at risk for RA, to improve risk stratification for future RA and to understand the biological mechanisms of RA development, including potential endotypes of disease, which can be targeted for prevention, thus adopting a more precision-based approach. Future trials should focus on interceptions aimed at preventing clinical RA onset and which treat existing symptoms and imaging-defined subclinical inflammation. These trials may include advanced designs (eg, adaptive) and should be combined with mechanistic studies to further define pathophysiological drivers of disease development.
科研通智能强力驱动
Strongly Powered by AbleSci AI