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416 Big data in systemic lupus erythematosus: phenotypic disease expression of 171,000 adult patients
  1. M Pérez de Lis Novo1,
  2. M Gandía2,
  3. R Pérez-Álvarez3,
  4. P Brito-Zerón4,
  5. B Kostov5,
  6. A Siso-Almirall5,
  7. D Superville6,
  8. Y Shoenfeld7,
  9. M Ramos-Casals4 and
  10. MA Khamashta8
  1. 1Hospital Juan Canalejo, Anesthesiology and Intensive Care, A Coruña, Spain
  2. 2Hospital del Mar, Rheeumatology, Cadiz, Spain
  3. 3Hospital Álvaro Cunqueiro, Department of Autoimmune Diseases, Vigo, Spain
  4. 4Josep Font Laboratory of Autoimmune Diseases- CELLEX-Institut d’Investigacions Biomèdiques August Pi i Sunyer IDIBAPS, Department of Autoimmune Diseases- ICMiD- Hospital Clínic, Barcelona, Spain
  5. 5Primary Care Research Group- Institut d’Investigacions Biomèdiques August Pi i Sunyer IDIBAPS, Primary Care Centre Les Corts- CAPSE, Barcelona, Spain
  6. 6Massachusetts Institute of Technology, MIT, Cambridge- Massachusetts, Spain
  7. 7Zabludowicz Centre for Autoimmune Diseases-Chaim Sheba Medical Center-Tel Hashomer- Israel, Incumbent of the Laura Schwarz-Kipp Chair for Research of Autoimmune Diseases- Sackler Faculty of Medicine- Tel-Aviv University, Tel-Avivi, Spain
  8. 8St Thomas’ Hospital- King’s College University, Lupus Research Unit- The Rayne Institute, London, Spain

Abstract

Background and aims Studying the distribution of SLE across geographic regions using a big data-driven approach may facilitate understanding of the corresponding genetic and environmental underpinnings.

Methods We explored the potential of the Google search engine to collect and merge cohorts (>100 patients) of patients with systemic lupus erythematosus (SLE) reported in the Pubmed library. We made a text-word search in Google between 8th and 15th May 2015 using SLE and ”100...100000000 patients” and “site:http://www.ncbi.nlm.nih.gov/pubmed”. We collected the available data about study design, country, ethnicities, age and gender, clinical features and immunological markers.

Results We merged the data of 133 SLE cohorts including 1 71 000 patients; gender was detailed in 130 cohorts:88% women(female:male ratio, 8,4). mean age at onset (29.89±3.48), at diagnosis (32.33±2.99).The countries contributing the most cohorts were the USA (31), Japan (8) and Spain (5). The main clinical features included arthritis in 72%,haematological abnormalities in 62%,malar rash in 50%,photosensitivity in 48%, renal involvement in 38%, oral ulcers in 34%, serositis in 30% and neurological involvement in 14%. Haematological abnormalities included lymphopenia in 43%,leukopenia in 38%,thrombocytopenia in13% and hemolytic anaemia in 4%.Positive autoantibodies included ANA in 91%,dSDNA in 62%,anti-Ro/SSA in 35%,antiRNP in 25%,antiSm in 21% and anti-La/SSB in 15%.

Conclusions This is the largest reported study in SLE including nearly 2 00 000 cases that provides a big data picture of the worldwide expression of the disease, with a female:male ratio of 8,4, a mean age at diagnosis of 32 years, and with joints, haematological, skin and kidneys being the most frequent organs involved.

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