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SAT0683 (2018)
A north-south worldwide gradient in systemic activity of primary sjÖgren syndrome: increased severe disease in patients from southern countries
S. Retamozo1,2,3, N. Acar-Denizli4, W. Fai Ng5, M. Zeher6, A. Rasmussen7, R. Seror8, X. Li9, C. Baldini10, J.-E. Gottenberg11, D. Danda12, L. Quartuccio13, R. Priori14, G. Hernandez-Molina15, B. Armagan16, A.A. Kruize17, S.-K. Kwok18, M. Wahren-Herlenius19, S. Praprotnik20, D. Sene21, E. Bartoloni22, R. Solans23, M. Rischmueller24, T. Mandl25, Y. Suzuki26, D. Isenberg27, V. Valim28, P. Wiland29, G. Nordmark30, G. Fraile31, H. Bootsma32, T. Nakamura33, R. Giacomelli34, V. Devauchelle-Pensec35, B. Hofauer36, M. Bombardieri37, V. Fernandes Moça Trevisani38, D. Hammenfors39, S.G. Pasoto40, T.A. Gheita41, F. Atzeni42, J. Morel43, C. Vollenveider44, P. Brito-Zerón1,45, M. Ramos-Casals1, on behalf of the Sjogren Big Data Consortium
1H. Clinic, IDIBAPS, Barcelona, Spain
2Hosp Privado Córdoba, IUCBC
3INICSA, UNC, CONICET, Cordoba, Argentina
4Mimar Sinan Univ, Istanbul, Turkey
5Newcastle Univ, NHS Foundation Trust, Newcastle, UK
6Debrecen Univ, Debrecen, Hungary
7Oklahoma Medical Research Foundation, Oklahoma, USA
8Université Paris Sud, INSERM, Paris, France
9Anhui Provincial Hosp, Hefei, China
10Pisa Univ, Pisa, Italy
11Strasbourg Univ, CNRS, Strasbourg, France
12Christian Medical College and Hosp, Vellore, India
13Hosp “Santa Maria della Misericordia”, Udine
14Sapienza Univ, Rome, Italy
15INCMNSS, Mexico, Mexico
16Hacettepe Univ, Ankara, Turkey
17Univ Medical Center, Utrecht, Netherlands
18Catholic Univ of Korea, Seoul, Korea, Republic Of
19Karolinska Institute, Stockholm, Sweden
20Univ Medical Centre, Ljubljana, Slovenia
21Univ Paris VII Publique-Hôpitaux de Paris, 2, Paris, France
22Perugia Univ, Perugia, Italy
23H. Vall d’Hebron, Barcelona, Spain
24Western Australia Univ, Crawley, Australia
25Malmö Hosp, Lund Univ, Lund, Sweden
26Kanazawa Univ Hosp, Ishikawa, Japan
27University College, London, UK
28Federal Univ Espírito Santo, Vitória, Brazil
29Wroclaw Medical Hospital, Wroclaw, Poland
30Uppsala Univ, Uppsala, Sweden
31H. Ramón y Cajal, Madrid, Spain
32Univ Medical Center, Groningen, Netherlands
33Nagasaki University, Nagasaki, Japan
34L’Aquila Univ, L’Aquila, Italy
35Brest Univ Hosp, CERAINO, Brest, France
36Technische Univ, Mu&x00EE;nchen, Germany
37Queen Mary Univ, London, UK
38Federal University of São Paulo, Sao Paulo, Brazil
39Haukeland Univ Hosp, Bergen, Norway
40Hospital das Clínicas, USP, São Paulo, Brazil
41Cairo University, Cairo, Egypt
42Messina and Milan Univ, Milan, Italy
43Hosp and Univ of Montpellier, Montpellier, France
44German Hosp, Buenos Aires, Argentina
45H. CIMA- Sanitas, Barcelona, Spain

 

Objectives: To analyse the influence of geolocation on the clinical systemic presentation of primary Sjögren syndrome (SjS) at diagnosis.

Methods: The Big Data Sjögren Project Consortium is an international, multicentre registry created in 2014. Centres were classified by continent, with an additional north-south sub-classification according to latitude (>or<50’N in Europe, equator >or <in America and>or<30’N in Asia). Systemic involvement at diagnosis was retrospectively scored using the ESSDAI.

Results: The highest baseline ESSDAI scores were reported from Southern vs Northern countries in Europe (7.2 vs 4.6, p<0.001), America (5.3 vs 3.5, p<0.001) and Asia (6.3 vs 3.9, p<0.001). In Europe, the frequency of activity in each domain was higher in Southern countries (in all domains except constitutional, p<0.001). In America, Southern countries had the highest frequencies of active patients in constitutional, articular, cutaneous, pulmonary, PNS and CNS domains (p<0.001 in all) and the lowest frequencies in lymphadenopathy (p=0.018) and biological (p<0.001) domains. In Asia, patients from China had the highest frequency of activity in glandular, articular, pulmonary, muscular, haematological and biological and those from India in lymphadenopathy, cutaneous, renal and PNS.

Conclusions: This study provides the first evidence for a strong influence of geolocation on the systemic phenotype of primary SjS at diagnosis. Geographical determinants should be considered as key variables when systemic disease is scored.

Disclosure of Interest: None declared

DOI: 10.1136/annrheumdis-2018-eular.6446



Citation: Ann Rheum Dis, volume 77, supplement Suppl, year 2018, page A1190
Session: Epidemiology, risk factors for disease or disease progression