Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Ann Rheum Dis. 2015 May;74(5):883-9. doi: 10.1136/annrheumdis-2013-204659. Epub 2014 Jan 15.
Baseline erosions are characteristic for rheumatoid arthritis (RA) and predictive for a severe disease course. The mechanisms leading to baseline erosions being a strong predictor for radiological progression are unknown. We aimed to increase this understanding by mediation analyses in an observational cohort and a cross-sectional MRI study.
3256 hands and feet radiographs of 653 early RA patients assessed during 7 years of disease were scored using the Sharp-van der Heijde method. Mediation models and multivariate regression analyses were used to explore the association between baseline erosions, other predictors and radiological damage over time. 603 joints (MCP2-5 and MTP1-5) of 67 RA patients underwent 1.5 T MRI at baseline. Data on MRI inflammation were compared with clinical inflammation and baseline radiological erosions.
Patients with baseline erosions had, at any point in time during 7 years, 3.45 times more joint damage than patients without erosions (p<0.001, 95% CI 3.00 to 3.98). Baseline erosions were an independent predictor and not a mediator between symptom duration, systemic or local clinical inflammation (erythrocyte sedimentation rate (ESR), swollen joint count (SJC)) or autoantibodies (anti-citrullinated-peptide antibodies, rheumatoid factor) and radiological damage. Subclinical MRI inflammation was studied in relation to erosions, revealing that 83% of the non-swollen joints with baseline erosions had subclinical MRI inflammation compared with 25% of the non-swollen joints without baseline erosions (OR 15.2 95% CI 3.1 to 102.1). The association between MRI inflammation and baseline erosions was independent of symptom duration, ESR, SJC and autoantibodies.
Baseline erosions are a predictor for future joint damage, independent of known predictors as time, autoantibodies or clinical measurable inflammation. Subclinical inflammation is suggested as an underlying mechanism.
基线侵蚀是类风湿关节炎(RA)的特征,也是严重疾病过程的预测指标。导致基线侵蚀成为放射学进展的强有力预测指标的机制尚不清楚。我们旨在通过观察性队列和横断面 MRI 研究中的中介分析来增加对此的理解。
对 653 例早期 RA 患者的 3256 只手和脚的 X 光片进行了 7 年的疾病评估,使用 Sharp-van der Heijde 评分法进行了评分。使用中介模型和多变量回归分析来探讨基线侵蚀、其他预测因素与随时间推移的放射学损伤之间的关系。67 例 RA 患者的 603 个关节(MCP2-5 和 MTP1-5)在基线时进行了 1.5T MRI 检查。将 MRI 炎症的数据与临床炎症和基线放射学侵蚀进行了比较。
在 7 年的任何时间点,基线侵蚀的患者关节损伤的可能性是无侵蚀患者的 3.45 倍(p<0.001,95%CI 3.00 至 3.98)。基线侵蚀是症状持续时间、全身或局部临床炎症(红细胞沉降率(ESR)、肿胀关节计数(SJC))或自身抗体(抗瓜氨酸肽抗体、类风湿因子)与放射学损伤之间的独立预测因素,而不是中介因素。研究了基线侵蚀与亚临床 MRI 炎症之间的关系,结果显示,基线侵蚀的非肿胀关节中有 83%存在亚临床 MRI 炎症,而无基线侵蚀的非肿胀关节中只有 25%存在亚临床 MRI 炎症(OR 15.2,95%CI 3.1 至 102.1)。MRI 炎症与基线侵蚀之间的关联独立于症状持续时间、ESR、SJC 和自身抗体。
基线侵蚀是未来关节损伤的预测指标,独立于时间、自身抗体或临床可测量的炎症等已知预测因素。亚临床炎症被认为是一种潜在的机制。