کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3365603 1218373 2014 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
High anti-CCP antibody titres predict good response to rituximab in patients with active rheumatoid arthritis
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی ایمونولوژی، آلرژی و روماتولوژی
پیش نمایش صفحه اول مقاله
High anti-CCP antibody titres predict good response to rituximab in patients with active rheumatoid arthritis
چکیده انگلیسی

ObjectivePrevious studies reported that anti-CCP antibody positivity predicts good response to rituximab (RTX) in rheumatoid arthritis (RA). A quantitative approach to such possibility could be a good way to detect the subset of patients most likely to respond. We investigated whether serum anti-CCP antibody titres could predict response to RTX in RA patients.MethodsWe retrospectively investigated RA patients who received RTX. The primary criterion was decrease in DAS28 > 1.2 at 6 months (M6). Secondary efficacy criteria included a good response and remission according to EULAR. Predictors of response were investigated by multivariate logistic regression analysis.ResultsWe included 114 RA patients (81.6% female, median age 53.5 [IQR 45.7–61.2] years, median disease duration 8.5 [4.0–16.0] years). Anti-CCP antibodies were present in 93 patients (81.6%), with median anti-CCP antibody titres 583 [195–1509] U/mL. In all, 44 patients (38.6%) showed decreased DAS28 > 1.2 at M6. On univariate analysis, high anti-CCP titres were associated with response rather than non-response to RTX (median 1122 [355–1755] vs. 386 [149–800] U/mL, P = 0.0191) at M6. On multivariate regression analysis, with a cut-off of 1000 U/mL, anti-CCP antibody titres ≥ 1000 was associated with a decrease in DAS28 > 1.2 (OR 5.10 [1.97–13.2], P = 0.0002); a EULAR good response (4.26 [1.52–11.95], P = 0.0059); and a trend for EULAR remission (2.52 [0.78–8.12], P = 0.1207).ConclusionHigh anti-CCP antibody titres predict response to RTX in RA. This factor, easily assessed in clinical practice, can help with personalized medicine and selecting the best candidates for RTX treatment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Joint Bone Spine - Volume 81, Issue 5, October 2014, Pages 416–420
نویسندگان
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