Literature DB >> 30156539

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

Pilar Brito-Zerón1, Nihan Acar-Denizli2, Wan-Fai Ng3, Margit Zeher4, Astrid Rasmussen5, Thomas Mandl6, Raphaele Seror7, Xiaomei Li8, Chiara Baldini9, Jacques-Eric Gottenberg10, Debashish Danda11, Luca Quartuccio12, Roberta Priori13, Gabriela Hernandez-Molina14, Berkan Armagan15, Aike A Kruize16, Seung-Ki Kwok17, Marika Kvarnström18, Sonja Praprotnik19, Damien Sène20, Elena Bartoloni21, Roser Solans22, Maureen Rischmueller23, Yasunori Suzuki24, David A Isenberg25, Valeria Valim26, Piotr Wiland27, Gunnel Nordmark28, Guadalupe Fraile29, Hendrika Bootsma30, Takashi Nakamura31, Roberto Giacomelli32, Valerie Devauchelle-Pensec33, Andreas Knopf34, Michele Bombardieri35, Virginia-Fernandes Trevisani36, Daniel Hammenfors37, Sandra G Pasoto38, Soledad Retamozo39, Tamer A Gheita40, Fabiola Atzeni41, Jacques Morel42, Cristina Vollenveider43, Ildiko-Fanny Horvath44, Kathy L Sivils5, Peter Olsson6, Salvatore De Vita12, Jorge Sánchez-Guerrero14, Levent Kilic15, Marie Wahren-Herlenius18, Xavier Mariette7, Manuel Ramos-Casals45.   

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.

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Year:  2018        PMID: 30156539

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


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