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dc.contributor.authorParker, Ben
dc.contributor.authorUrowitz, Murray B
dc.contributor.authorGladman, Dafna D
dc.contributor.authorLunt, Mark
dc.contributor.authorDonn, Rachelle
dc.contributor.authorBae, Sang-Cheol
dc.contributor.authorSanchez-Guerrero, Jorge
dc.contributor.authorRomero-Diaz, Juanita
dc.contributor.authorGordon, Caroline
dc.contributor.authorWallace, Daniel J
dc.contributor.authorClarke, Ann E
dc.contributor.authorBernatsky, Sasha
dc.contributor.authorGinzler, Ellen M
dc.contributor.authorIsenberg, David A
dc.contributor.authorRahman, Anisur
dc.contributor.authorMerrill, Joan T
dc.contributor.authorAlarcón, Graciela S
dc.contributor.authorFessler, Barri J
dc.contributor.authorFortin, Paul R
dc.contributor.authorHanly, John G
dc.contributor.authorPetri, Michelle
dc.contributor.authorSteinsson, Kristjan
dc.contributor.authorDooley, Mary Anne
dc.contributor.authorManzi, Susan
dc.contributor.authorKhamashta, Munther A
dc.contributor.authorRamsey-Goldman, Rosalind
dc.contributor.authorZoma, Asad A
dc.contributor.authorSturfelt, Gunnar K
dc.contributor.authorNived, Ola
dc.contributor.authorAranow, Cynthia
dc.contributor.authorMackay, Meggan
dc.contributor.authorRamos-Casals, Manuel
dc.contributor.authorvan Vollenhoven, Ronald F
dc.contributor.authorKalunian, Kenneth C
dc.contributor.authorRuiz-Irastorza, Guillermo
dc.contributor.authorLim, S Sam
dc.contributor.authorKamen, Diane L
dc.contributor.authorPeschken, Christine A
dc.contributor.authorInanc, Murat
dc.contributor.authorBruce, Ian N
dc.date.accessioned2023-02-07T17:07:12Z
dc.date.available2023-02-07T17:07:12Z
dc.date.issued2014-04-01
dc.identifier.citationParker B, Urowitz MB, Gladman DD, Lunt M, Donn R, Bae SC, Sanchez-Guerrero J, Romero-Diaz J, Gordon C, Wallace DJ, Clarke AE, Bernatsky S, Ginzler EM, Isenberg DA, Rahman A, Merrill JT, Alarcón GS, Fessler BJ, Fortin PR, Hanly JG, Petri M, Steinsson K, Dooley MA, Manzi S, Khamashta MA, Ramsey-Goldman R, Zoma AA, Sturfelt GK, Nived O, Aranow C, Mackay M, Ramos-Casals M, van Vollenhoven RF, Kalunian KC, Ruiz-Irastorza G, Lim SS, Kamen DL, Peschken CA, Inanc M, Bruce IN. Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus: data from an international inception cohort. Ann Rheum Dis. 2015 Aug;74(8):1530-6. doi: 10.1136/annrheumdis-2013-203933. Epub 2014 Apr 1. PMID: 24692585; PMCID: PMC4515988.en_US
dc.identifier.eissn1468-2060
dc.identifier.doi10.1136/annrheumdis-2013-203933
dc.identifier.pmid24692585
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8283
dc.description.abstractThe 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.
dc.description.abstractRecently 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.
dc.description.abstractWe 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.
dc.description.abstractMetS 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.
dc.language.isoenen_US
dc.relation.urlhttps://ard.bmj.com/content/74/8/1530.longen_US
dc.rightsPublished by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCardiovascular Diseaseen_US
dc.subjectInflammationen_US
dc.subjectSystemic Lupus Erythematosusen_US
dc.titleImpact of early disease factors on metabolic syndrome in systemic lupus erythematosus: data from an international inception cohort.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleAnnals of the rheumatic diseasesen_US
dc.source.volume74
dc.source.issue8
dc.source.beginpage1530
dc.source.endpage6
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryCanada
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryCanada
dc.source.countryEngland
dc.description.versionVoRen_US
refterms.dateFOA2023-02-07T17:07:14Z
html.description.abstractThe 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.
html.description.abstractRecently 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.
html.description.abstractWe 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.
html.description.abstractMetS 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.
dc.description.institutionSUNY Downstateen_US
dc.description.departmentRheumatologyen_US
dc.description.degreelevelN/Aen_US
dc.identifier.journalAnnals of the rheumatic diseases


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Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Except where otherwise noted, this item's license is described as Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.