类风湿因子与类风湿关节炎疾病活动性及症状程度的相关性(英文)

Correlation between rheumatoid factor and activity or severity of rheumatoid arthritis

背景: 评价类风湿关节炎患者病情活动性和症状程度传统上一直使用类风湿因子参数,但在目前的临床实践中常出现类风湿因子的数值变化与患者临床改善情况不相符。目的:探讨类风湿因子与类风湿关节炎疾病的活动性及严重程度的相关性。设计、时间及地点:随机横断面调查,于2006-09/2007-09在中山大学附属第三医院风湿免疫科完成。参试者:选择76例类风湿关节炎患者,男11例,女65例,平均年龄(44±13)岁,均符合活动期类风湿关节炎的诊断。方法:对患者的关节功能、X射线分期、休息痛、晨僵、压痛关节数、压痛关节指数、肿胀关节数、肿胀关节指数、日常生活能力、血沉、C-反应蛋白、类风湿因子、血红蛋白等指标进行评估。应用Pearson相关或Spearman等级相关分析类风湿因子分别与这些因子之间的相关性,其中对于服从正态分布的数据进行Pearson相关分析,对于非正态分布的数据进行Spearman相关分析。主要观察指标:类风湿因子分别与上述因子之间的相关性。结果:类风湿因子与年龄、病程、关节功能、X 射线分期、休息痛、晨僵、压痛关节数、压痛关节指数、肿胀关节数、肿胀关节指数、日常生活能力、血沉、C-反应蛋白、血红蛋白之间的相关系数均无显著性差异(P>0.05)。结论:类风湿因子与类风湿关节炎疾病活动性和症状程度无相关性。

BACKGROUND： Rheumatoid factor （RF） is a kind of autoantibody which is routinely used as a factor in patients with rheumatoid arthritis （RA） to evaluate disease activity and severity. But in clinical practice, it occurs frequently that RF values do not decrease according to clinical improvement in RA patients. OBJECTIVE： To investigate the association between rheumatoid factor （RF） and activity or disease severity of RA. DESIGN, TIME AND SETTING： A randomized cross-sectional study was performed in the Department of Rheumatology and Immunology, the Third Affiliated Hospital of Sun Yat-sen University during September 2006 and September 2007. PARTICIPANTS： Seventy-six patients, 65 females and 11 males, mean age of （44±13） years, with RA diagnosed according to the American College of Rheumatology （ACR） criteria for RA were included in this study. METHODS： Seventy-six patients with active RA were randomly recruited and assessed for functional status, radiographic change, joint pain, morning stiffness, tender joint count （TIC）, tender joint score （TJS）, swollen joint count （SIC）, swollen joint score （SJS）, Health Assessment Questionnaire （HAQ）, erythrocyte sedimentation rate （ESR）, C-reactive protein （CRP）, RF, and hemoglobin. The method of Pearson correlation or Spearman rank correlation was performed for assessing the association between RF and these indices separately, normally distributed data for Pearson correlation, nonnormally distributed data for Spearman rank correlation. MAIN OUTCOME MEASURES： Correlation of RF with above mentioned factors. RESULTS： None of the correlation coefficients between RF and indices including age, disease duration, functional status, radiographic change, joint pain, morning stiffness, TJC, TJS, SJC, SJS, HAQ, ESR, CRP, hemoglobin were significant （P 〉 0.05）. CONCLUSION： No associations between RF and activity or severity of RA are studied.