医学
类风湿性关节炎
自身抗体
内科学
免疫学
关节炎
托珠单抗
抗体
阿巴塔克普
羟基氯喹
类风湿因子
自身免疫性疾病
英夫利昔单抗
免疫系统
依那西普
痹症科
作者
Alison D. Petro,Joseph Dougherty,Bryant R. England,Harlan Sayles,Michael J. Duryee,Carlos D. Hunter,Joel M. Kremer,Dimitrios A. Pappas,William H. Robinson,Jeffrey R. Curtis,Geoffrey M. Thiele,Ted R. Mikuls
标识
DOI:10.1016/j.intimp.2020.107260
摘要
Abstract Background Although biologics represent a major advance in rheumatoid arthritis (RA), many patients fail to achieve adequate responses to these agents. We examined whether combined positivity to three well-characterized autoantibodies predicts treatment response among RA patients initiating biologics. Methods The study included biologic-naive patients initiating anti-TNF treatment, biologic-exposed patients switching to rituximab or tocilizumab, and patients (biologic naive or exposed) initiating abatacept. Rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP) antibody, and IgG antibodies to malondialdehyde-acetaldehyde (MAA) were measured using banked enrollment serum. The relationship between the number of autoantibodies positive (0–3) and treatment response (absolute improvement in 28-joint Disease Activity Score [DAS28-CRP] or improvement > 1.2) at 6 months was examined using multivariable linear and logistic regression. Results Of 1,229 patients initiating biologics, 79% were women; 89% were Caucasian. The number of baseline RA-related autoantibodies positive was associated with improved treatment response in a dose-dependent fashion. Compared to patients seronegative for all autoantibodies, adjusting for covariates, those positive for all three were more than twice (OR 2.35; 95% CI 1.57–3.51) as likely to achieve DAS28 improvement > 1.2 units. Associations of autoantibody positivity with biologic treatment response were strongest for anti-CCP antibody, persisted in analyses limited to biologic naive patients, and did not appear to differ markedly among different agents examined. Conclusion An expanded autoantibody profile appears to significantly predict RA treatment response to biologic treatment in a dose-dependent fashion. Incorporating these serologic profiles with additional biomarkers or other informative patient characteristics could provide an opportunity to personalize RA management.
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