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免疫谱如何在原发性干燥综合征诊断时驱动临床表型:对 10500 例患者的分析(干燥综合征大数据项目)。

How immunological profile drives clinical phenotype of primary Sjögren's syndrome at diagnosis: analysis of 10,500 patients (Sjögren Big Data Project).

机构信息

Autoimmune Diseases Unit, Department of Medicine, Hospital CIMA- Sanitas, Barcelona, Spain.

Department of Statistics, Faculty of Science and Letters, Mimar Sinan Fine Arts University, Istanbul, Turkey.

出版信息

Clin Exp Rheumatol. 2018 May-Jun;36 Suppl 112(3):102-112. Epub 2018 Aug 14.

Abstract

OBJECTIVES

To evaluate the influence of the main immunological markers on the disease phenotype at diagnosis in a large international cohort of patients with primary Sjögren's syndrome (SjS).

METHODS

The Big Data Sjögren Project Consortium is an international, multicentre registry created in 2014. As a first step, baseline clinical information from leading centres on clinical research in SjS of the 5 continents was collected. The centres shared a harmonised data architecture and conducted cooperative online efforts in order to refine collected data under the coordination of a big data statistical team. Inclusion criteria were the fulfillment of the 2002 classification criteria. Immunological tests were carried out using standard commercial assays.

RESULTS

By January 2018, the participant centres had included 10,500 valid patients from 22 countries. The cohort included 9,806 (93%) women and 694 (7%) men, with a mean age at diagnosis of primary SjS of 53 years, mainly White (78%) and included from European countries (71%). The frequency of positive immunological markers at diagnosis was 79.3% for ANA, 73.2% for anti-Ro, 48.6% for RF, 45.1% for anti- La, 13.4% for low C3 levels, 14.5% for low C4 levels and 7.3% for cryoglobulins. Positive autoantibodies (ANA, Ro, La) correlated with a positive result in salivary gland biopsy, while hypocomplementaemia and especially cryoglo-bulinaemia correlated with systemic activity (mean ESSDAI score of 17.7 for cryoglobulins, 11.3 for low C3 and 9.2 for low C4, in comparison with 3.8 for negative markers). The immunological markers with a great number of statistically-significant associations (p<0.001) in the organ-by-organ ESS- DAI evaluation were cryoglobulins (9 domains), low C3 (8 domains), anti-La (7 domains) and low C4 (6 domains).

CONCLUSIONS

We confirm the strong influence of immunological markers on the phenotype of primary SjS at diagnosis in the largest multi-ethnic international cohort ever analysed, with a greater influence for cryoglobulinaemic-related markers in comparison with Ro/La autoantibodies and ANA. Immunological patterns play a central role in the phenotypic expression of the disease already at the time of diagnosis, and may guide physicians to design a specific personalised management during the follow-up of patients with primary SjS.

摘要

目的

评估主要免疫标志物对原发性干燥综合征(pSS)患者大国际队列诊断时疾病表型的影响。

方法

大数据干燥综合征项目联盟(Big Data Sjögren Project Consortium)是一个国际性的、多中心的注册机构,成立于 2014 年。作为第一步,来自 5 大洲的 pSS 临床研究领先中心的基线临床信息被收集。这些中心共享一个协调的数据集结构,并在大数据统计团队的协调下,进行在线合作,以完善收集的数据。纳入标准是符合 2002 年分类标准。免疫检测采用标准商业检测方法进行。

结果

截至 2018 年 1 月,参与中心已纳入来自 22 个国家的 10500 名有效患者。该队列包括 9806 名(93%)女性和 694 名(7%)男性,原发性 pSS 的平均诊断年龄为 53 岁,主要为白人(78%),来自欧洲国家(71%)。诊断时阳性免疫标志物的频率为抗核抗体(ANA)79.3%,抗 Ro 抗体 73.2%,类风湿因子(RF)48.6%,抗 La 抗体 45.1%,C3 水平低 13.4%,C4 水平低 14.5%,冷球蛋白血症 7.3%。阳性自身抗体(ANA、Ro、La)与唾液腺活检阳性结果相关,而低补体血症,尤其是冷球蛋白血症与全身活动相关(冷球蛋白血症的 ESSDAI 评分平均为 17.7,C3 水平低为 11.3,C4 水平低为 9.2,而阴性标志物为 3.8)。在器官特异性 ESS-DAI 评估中,与数量最多的统计学显著关联(p<0.001)的免疫标志物是冷球蛋白(9 个域)、C3 水平低(8 个域)、抗 La 抗体(7 个域)和 C4 水平低(6 个域)。

结论

我们在迄今为止分析的最大的多民族国际队列中证实,免疫标志物对原发性干燥综合征的诊断时表型具有很强的影响,与 Ro/La 自身抗体和 ANA 相比,冷球蛋白血症相关标志物的影响更大。免疫模式在疾病的表型表达中起着核心作用,甚至在诊断时就已经发挥作用,这可能有助于医生在原发性干燥综合征患者的随访中制定特定的个体化治疗方案。

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