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

  • Sjögren Big Data Consortium
  • Hospital CIMA Sanitas
  • University of Barcelona
  • Mimar Sinan Guzel Sanatlar University
  • Newcastle University
  • University of Debrecen
  • Oklahoma Medical Research Foundation
  • Lund University
  • Institut national de la santé et de la recherche médicale
  • Assistance publique – Hôpitaux de Paris
  • Anhui Provincial Hospital
  • University of Pisa
  • Strasbourg University Hospital
  • Université de Strasbourg
  • Christian Medical College
  • S. Maria Della Misericordia Hospital
  • University of Rome La Sapienza
  • Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
  • Hacettepe University
  • Utrecht University
  • The Catholic University of Korea
  • Karolinska Institutet
  • University Medical Centre
  • Université Paris Cité
  • University of Perugia
  • Hospital Universitari Vall d'Hebron
  • University of Western Australia
  • Kanazawa University
  • Kan. University Hospital
  • University College London
  • Universidade Federal do Espírito Santo
  • Wroclaw Medical Hospital
  • Uppsala University
  • Hospital Ramon y Cajal
  • University of Groningen
  • Nagasaki University
  • University of L'Aquila
  • CHU de Brest
  • Technical University of Munich
  • Queen Mary University of London
  • Universidade Federal de São Paulo
  • University of Bergen
  • Universidade de São Paulo
  • Universidad Nacional de Córdoba
  • Cairo University
  • University of Messina
  • CHU Montpellier
  • Hospital Alemán
  • NYU Long Island School of Medicine
  • Beni-Suef University
  • August Pi i Sunyer Biomedical Research Institute
  • Clermont-Ferrand Hospital
  • CHU de Limoges
  • Amiens university hospital
  • Lille University Hospital
  • Hôpital Avicenne
  • CHU de Rennes
  • Orléans Hospital
  • CHU Hôpitaux de Rouen
  • Hôpital Hotel Dieu
  • Hospital Universitario Central de Asturias
  • Hospital Parc Taulí
  • Hospital Universitario Son Espases
  • Hospital Joan XXIII
  • Hospital do Meixoeiro
  • Infanta Sofía University Hospital
  • Hospital General Universitario Gregorio Marañon
  • Hospital Infanta Leonor
  • University Hospital Complex of Vigo
  • Hospital de Cabuenes
  • Hospital Universitario de Fuenlabrada
  • Hospital Espíritu Santo
  • Complejo Hospitalario de Ourense
  • Hospital de Manises
  • Complejo Universitario de Navarra
  • Clinica Quiron
  • Hospital Universitario Virgen de las Nieves

Research output: Contribution to journalArticlepeer-review

Abstract

Objective. 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 cryoglobulinaemia 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 ESSDAI evaluation were cryoglobulins (9 domains), low C3 (8 domains), anti-La (7 domains) and low C4 (6 domains). Conclusion. 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.

Original languageEnglish
Pages (from-to)S102-S111
JournalClinical and Experimental Rheumatology
Volume36
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • ESSDAI
  • Hypocomplementaemia cryoglobulinaemia
  • Primary Sjögren's syndrome
  • Ro/La autoantibodies
  • Salivary gland biopsy

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