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Matrix to predict rapid radiographic progression of early rheumatoid arthritis patients from the community treated with methotrexate or leflunomide: results from the ESPOIR cohort

机译:预测甲氨蝶呤或来氟米特治疗社区的早期类风湿关节炎患者快速影像学进展的矩阵:ESPOIR研究组的结果

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Introduction Early rheumatoid arthritis (RA) patients may show rapid radiographic progression (RRP) despite rapid initiation of synthetic disease-modifying anti-rheumatic drugs (DMARDs). The present study aimed to develop a matrix to predict risk of RRP despite early DMARD initiation in real life settings. Methods The ESPOIR cohort included 813 patients from the community with early arthritis for < 6 months; 370 patients had early RA and had received methotrexate or leflunomide during the first year of follow-up. RRP was defined as an increase in the van der Heijde-modified Sharp score (vSHS) ≥ 5 points at 1 year. Determinants of RRP were examined first by bivariate analysis, then multivariate stepwise logistic regression analysis. A visual matrix model was then developed to predict RRP in terms of patient baseline characteristics. Results We analyzed data for 370 patients. The mean Disease Activity Score in 28 joints was 5.4 ± 1.2, 18.1% of patients had typical RA erosion on radiographs and 86.4% satisfied the 2010 criteria of the American College of Rheumatology/European League Against Rheumatism. During the first year, mean change in vSHS was 1.6 ± 5.5, and 41 patients (11.1%) showed RRP. A multivariate logistic regression model enabled the development of a matrix predicting RRP in terms of baseline swollen joint count, C-reactive protein level, anti-citrullinated peptide antibodies status, and erosions seen on radiography for patients with early RA who received DMARDs. Conclusions The ESPOIR matrix may be a useful clinical practice tool to identify patients with early RA at high risk of RRP despite early DMARD initiation.
机译:简介早期类风湿关节炎(RA)患者可能会迅速开始放射影像学进展(RRP),尽管迅速开始使用合成疾病修饰性抗风湿药(DMARDs)。本研究旨在建立一个矩阵来预测RRP的风险,尽管在现实生活中会尽早启动DMARD。方法ESPOIR队列包括来自早期关节炎的社区患者813例,病程<6个月; 370名患者患有早期RA,并在随访的第一年接受了甲氨蝶呤或来氟米特治疗。 RRP定义为1年后范德海德修正的Sharp分数(vSHS)≥5分的提高。首先通过二元分析检查RRP的决定因素,然后再进行多元逐步Logistic回归分析。然后开发了一个视觉矩阵模型来根据患者的基线特征预测RRP。结果我们分析了370例患者的数据。 28个关节的平均疾病活动评分为5.4±1.2,X线片上有18.1%的患者出现典型的RA糜烂,而86.4%的患者符合美国风湿病学会/欧洲风湿病联盟的2010年标准。在第一年,vSHS的平均变化为1.6±5.5,有41例患者(11.1%)表现出RRP。多变量logistic回归模型使得能够开发出根据基线肿胀关节计数,C反应蛋白水平,抗瓜氨酸肽抗体状态以及接受DMARD的早期RA患者在放射线照相术中发现的糜烂来预测RRP的矩阵。结论ESPOIR矩阵可能是一种有用的临床实践工具,可用于识别尽管早期DMARD启动但仍具有高RRP风险的RA早期患者。

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