SAT0457 SjÖgren big data project, the first example of data sharing in autoimmune diseases: analysis of 10475 worldwide patients

Objectives To take a “high-definition” picture of the main features of primary Sjogren syndrome (SjS) following a worldwide data-sharing cooperative merging of international clinical SjS databases. Methods The Big Data Sjogren Project Consortium is an international, multicentre registry created in 2014 including leading clinical centres in SjS of the 5 continents that shared a harmonised data architecture and conducted cooperative online efforts to refine collected data of primary SjS patients fulfilling the 2002 classification criteria. Results By January 2018, the participant centres had included 10 475 patients from 22 countries, including 7637 (73%) patients from Europe, 1420 (14%) from America, 1186 (11%) from Asia, 167 (1.4%) from Australia and 65 (0.6%) from Africa. The cohort included 9781 (93%) women and 694 (7%) men, with a mean age at diagnosis of primary SjS of 53 years. The frequencies of fulfilment of the 2002 criteria were 92% for dry eye, 94% for dry mouth, 83% for abnormal ocular tests, 82% for positive minor salivary gland biopsy, 78% for abnormal oral diagnostic tests and 76% for positive anti-Ro/La antibodies. The frequency of positive immunological markers at diagnosis was 79% for ANA, 73% for anti-Ro, 49% for RF, 45% for anti-La, 13% for low C3 levels, 14% for low C4 levels and 7% for cryoglobulins. Conclusions International data sharing-based projects merging disperse clinical registries may be essential tools to increase current knowledge and to improve patient care in specific systemic autoimmune diseases. Disclosure of Interest None declared