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利用人口统计学、临床和心理社会变量预测甲氨蝶呤治疗的原发性无反应:来自英国类风湿关节炎药物研究(RAMS)的结果。

Prediction of primary non-response to methotrexate therapy using demographic, clinical and psychosocial variables: results from the UK Rheumatoid Arthritis Medication Study (RAMS).

机构信息

Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

出版信息

Arthritis Res Ther. 2018 Jul 13;20(1):147. doi: 10.1186/s13075-018-1645-5.

Abstract

BACKGROUND

Methotrexate (MTX) remains the disease-modifying anti-rheumatic drug of first choice in rheumatoid arthritis (RA) but response varies. Predicting non-response to MTX could enable earlier access to alternative or additional medications and control of disease progression. We aimed to identify baseline predictors of non-response to MTX and combine these into a prediction algorithm.

METHODS

This study included patients recruited to the Rheumatoid Arthritis Medication Study (RAMS), a UK multi-centre prospective observational study of patients with RA or undifferentiated polyarthritis, commencing MTX for the first time. Non-response to MTX at 6 months was defined as "no response" using the European League Against Rheumatism (EULAR) response criteria, discontinuation of MTX due to inefficacy or starting biologic therapy. The association of baseline demographic, clinical and psychosocial predictors with non-response was assessed using logistic regression. Predictive performance was assessed using the area under the receiver operating characteristic curve (AUC) and calibration plots.

RESULTS

Of 1050 patients, 449 (43%) were classified as non-responders. Independent multivariable predictors of MTX non-response (OR (95% CI)) were rheumatoid factor (RF) negativity (0.62 (0.45, 0.86) for RF positivity versus negativity), higher Health Assessment Questionnaire score (1.64 (1.25, 2.15)), higher tender joint count (1.06 (1.02, 1.10)), lower Disease Activity score in 28 joints (0.29 (0.23, 0.39)) and higher Hospital Anxiety and Depression Scale anxiety score (1.07 (1.03, 1.12)). The optimism-corrected AUC was 0.74.

CONCLUSIONS

This is the first model for MTX non-response to be developed in a large contemporary study of patients commencing MTX in which demographic, clinical and psychosocial predictors were considered. Patient anxiety was a predictor of non-response and could be addressed at treatment commencement.

摘要

背景

甲氨蝶呤(MTX)仍然是类风湿关节炎(RA)的首选疾病修饰抗风湿药物,但反应因人而异。预测对 MTX 的无反应性可以更早地获得替代或额外的药物,并控制疾病的进展。我们旨在确定对 MTX 无反应的基线预测因素,并将这些因素组合成一个预测算法。

方法

这项研究包括从类风湿关节炎药物研究(RAMS)招募的患者,这是一项英国多中心前瞻性观察性研究,研究对象为首次开始接受 MTX 治疗的 RA 或未分化多关节炎患者。使用欧洲抗风湿病联盟(EULAR)反应标准,将 6 个月时对 MTX 无反应定义为“无反应”,因无效而停止 MTX 或开始使用生物制剂治疗。使用逻辑回归评估基线人口统计学、临床和心理社会预测因素与无反应的相关性。使用接受者操作特征曲线(ROC)下的面积(AUC)和校准图评估预测性能。

结果

在 1050 名患者中,449 名(43%)被归类为无反应者。MTX 无反应的独立多变量预测因素(OR(95%CI))是类风湿因子(RF)阴性(RF 阳性与阴性为 0.62(0.45,0.86))、更高的健康评估问卷评分(1.64(1.25,2.15))、更高的压痛关节计数(1.06(1.02,1.10))、更低的 28 关节疾病活动评分(0.29(0.23,0.39))和更高的医院焦虑和抑郁量表焦虑评分(1.07(1.03,1.12))。校正后的 AUC 为 0.74。

结论

这是第一个在开始接受 MTX 治疗的大型当代患者研究中开发的 MTX 无反应模型,其中考虑了人口统计学、临床和心理社会预测因素。患者的焦虑是无反应的预测因素,可以在治疗开始时解决。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d89/6044018/263169bafdc3/13075_2018_1645_Fig1_HTML.jpg

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