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早期类风湿关节炎患者血清Ⅲ型前胶原氨基端肽:与疾病活动度及关节破坏进展的关系

Serum aminoterminal type III procollagen peptide in early rheumatoid arthritis: relation to disease activity and progression of joint damage.

作者信息

Eberhardt K, Thorbjorn Jensen L, Horslev-Petersen K, Pettersson H, Lorenzen I, Wollheim F

机构信息

Department of Rheumatology, Lund University Hospital, Sweden.

出版信息

Clin Exp Rheumatol. 1990 Jul-Aug;8(4):335-40.

PMID:2204510
Abstract

Serum levels of the aminoterminal type III procollagen peptide (S-PIIINP) have been used as markers of proliferative inflammation in rheumatoid arthritis (RA) and a prognostic significance has been suggested. To test this further we have measured S-PIIINP longitudinally for 2 years in 66 patients with definite RA and a disease duration of less than 2 years, and related the levels to clinical, biochemical, and radiographic findings. In this patient group the correlations between S-PIIINP and ESR and CRP, respectively, were higher than those obtained between S-PIIINP and articular indices, and markedly higher than in patients with RA of longer duration. Patients with normal mean levels of S-PIIINP during the study period had a significantly slower rate of radiographic progression than patients with elevated mean levels of S-PIIINP. ESR yielded in general higher correlations with the joint damage process than did S-PIIINP. The correlations between S-PIIINP and the joint damage scores increased with time. A multiple regression analysis showed that ESR explained most of the variance in joint damage progression over 2 years, but S-PIIINP added independent information. About one third of the variance could be explained by the two variables.

摘要

血清Ⅲ型前胶原氨基端肽(S-PIIINP)水平已被用作类风湿关节炎(RA)增殖性炎症的标志物,并被认为具有预后意义。为进一步验证这一点,我们对66例确诊为RA且病程小于2年的患者进行了为期2年的S-PIIINP纵向测量,并将其水平与临床、生化和影像学检查结果进行关联。在该患者组中,S-PIIINP与血沉(ESR)和C反应蛋白(CRP)之间的相关性分别高于S-PIIINP与关节指数之间的相关性,且显著高于病程较长的RA患者。在研究期间S-PIIINP平均水平正常的患者,其影像学进展速度明显慢于S-PIIINP平均水平升高的患者。总体而言,ESR与关节损伤过程的相关性高于S-PIIINP。S-PIIINP与关节损伤评分之间的相关性随时间增加。多元回归分析表明,ESR解释了2年内关节损伤进展的大部分变异,但S-PIIINP增加了独立信息。约三分之一的变异可由这两个变量解释。

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