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Cited 40 time in webofscience Cited 49 time in scopus
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Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus: data from an international inception cohortopen access

Authors
Parker, BenUrowitz, Murray B.Gladman, Dafna D.Lunt, MarkDonn, RachelleBae, Sang-CheolSanchez-Guerrero, JorgeRomero-Diaz, JuanitaGordon, CarolineWallace, Daniel J.Clarke, Ann E.Bernatsky, SashaGinzler, Ellen M.Isenberg, David A.Rahman, AnisurMerrill, Joan T.Alarcon, Graciela S.Fessler, Barri J.Fortin, Paul R.Hanly, John G.Petri, MichelleSteinsson, KristjanDooley, Mary AnneManzi, SusanKhamashta, Munther A.Ramsey-Goldman, RosalindZoma, Asad A.Sturfelt, Gunnar K.Nived, OlaAranow, CynthiaMackay, MegganRamos-Casals, Manuelvan Vollenhoven, Ronald F.Kalunian, Kenneth C.Ruiz-Irastorza, GuillermoLim, S. SamKamen, Diane L.Peschken, Christine A.Inanc, MuratBruce, Ian N.
Issue Date
Aug-2015
Publisher
BMJ PUBLISHING GROUP
Citation
ANNALS OF THE RHEUMATIC DISEASES, v.74, no.8, pp.1530 - 1536
Indexed
SCIE
SCOPUS
Journal Title
ANNALS OF THE RHEUMATIC DISEASES
Volume
74
Number
8
Start Page
1530
End Page
1536
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/24909
DOI
10.1136/annrheumdis-2013-203933
ISSN
0003-4967
Abstract
Background The metabolic syndrome (MetS) may contribute to the increased cardiovascular risk in systemic lupus erythematosus (SLE). We examined the association between MetS and disease activity, disease phenotype and corticosteroid exposure over time in patients with SLE. Methods Recently diagnosed (<15 months) patients with SLE from 30 centres across 11 countries were enrolled into the Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort from 2000 onwards. Baseline and annual assessments recorded clinical, laboratory and therapeutic data. A longitudinal analysis of factors associated with MetS in the first 2 years of follow-up was performed using random effects logistic regression. Results We studied 1150 patients with a mean (SD) age of 34.9 (13.6) years and disease duration at enrolment of 24.2 (18.0) weeks. In those with complete data, MetS prevalence was 38.2% at enrolment, 34.8% at year 1 and 35.4% at year 2. In a multivariable random effects model that included data from all visits, prior MetS status, baseline renal disease, SLICC Damage Index >1, higher disease activity, increasing age and Hispanic or Black African race/ethnicity were independently associated with MetS over the first 2 years of follow-up in the cohort. Conclusions MetS is a persistent phenotype in a significant proportion of patients with SLE. Renal lupus, active inflammatory disease and damage are SLE-related factors that drive MetS development while antimalarial agents appear to be protective from early in the disease course.
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