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抗RNP抗体患者混合性结缔组织病4种诊断标准集的比较研究。图卢兹医院自身免疫研究组。

Comparative study of 4 diagnosis criteria sets for mixed connective tissue disease in patients with anti-RNP antibodies. Autoimmunity Group of the Hospitals of Toulouse.

作者信息

Amigues J M, Cantagrel A, Abbal M, Mazieres B

机构信息

Rheumatology Department, Rangueil University Hospital, Toulouse, France.

出版信息

J Rheumatol. 1996 Dec;23(12):2055-62.

PMID:8970041
Abstract

OBJECTIVE

To evaluate the performances of 4 sets of criteria proposed to define mixed connective tissue disease (MCTD): the criteria of Sharp, Alarcón-Segovia, Kasukawa, and Kahn. As anti-U1-RNP antibodies appear indispensable to establish the diagnosis of MCTD, we wished to reevaluate these sets of criteria in patients who all had anti-U1-RNP antibodies.

METHODS

We analyzed clinical and biological data to find which diagnostic criteria were met by 45 patients with anti-U1-RNP antibodies. We tested criteria for rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, polymyositis, Sjögren's syndrome, and 4 sets of criteria for MCTD.

RESULTS

The criteria that best identified patients with MCTD were those proposed by Alarcón-Segovia, with 62.5% sensitivity and 86.2% specificity, comparable to Kahn's criteria. The overlap with other connective tissue diseases was found to be 16%. These results could be improved by using the term "myalgia" instead of "myositis" in the definition. This increased sensitivity to 81.3%, with no decrease in specificity.

CONCLUSION

Alarcón-Segovia's and Kahn's criteria are the best classification criteria to define MCTD.

摘要

目的

评估为定义混合性结缔组织病(MCTD)而提出的4套标准的性能,即夏普(Sharp)标准、阿拉孔 - 塞戈维亚(Alarcón-Segovia)标准、粕川(Kasukawa)标准和卡恩(Kahn)标准。由于抗U1 - RNP抗体似乎是确立MCTD诊断必不可少的条件,我们希望在所有均有抗U1 - RNP抗体的患者中重新评估这些标准。

方法

我们分析了临床和生物学数据,以找出45例有抗U1 - RNP抗体的患者符合哪些诊断标准。我们测试了类风湿关节炎、系统性红斑狼疮、系统性硬化症、多发性肌炎、干燥综合征的标准以及4套MCTD标准。

结果

最能识别MCTD患者的标准是阿拉孔 - 塞戈维亚提出的标准,其敏感性为62.5%,特异性为86.2%,与卡恩标准相当。发现与其他结缔组织病的重叠率为16%。在定义中使用“肌痛”而非“肌炎”一词可改善这些结果。这使敏感性提高到81.3%,而特异性未降低。

结论

阿拉孔 - 塞戈维亚标准和卡恩标准是定义MCTD的最佳分类标准。

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