Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus: Data from an international inception cohort

Ben Parker, Murray B. Urowitz, Dafna D. Gladman, Mark Lunt, Rachelle Donn, Sang Cheol Bae, Jorge Sanchez-Guerrero, Juanita Romero-Diaz, Caroline Gordon, Daniel J. Wallace, Ann E. Clarke, Sasha Bernatsky, Ellen M. Ginzler, David A. Isenberg, Anisur Rahman, Joan T. Merrill, Graciela S. Alarcón, Barri J. Fessler, Paul R. Fortin, John G. HanlyMichelle Petri, Kristjan Steinsson, Mary Anne Dooley, Susan Manzi, Munther A. Khamashta, Rosalind Ramsey-Goldman, Asad A. Zoma, Gunnar K. Sturfelt, Ola Nived, Cynthia Aranow, Meggan Mackay, Manuel Ramos-Casals, Ronald F. Van Vollenhoven, Kenneth C. Kalunian, Guillermo Ruiz-Irastorza, S. Sam Lim, Diane L. Kamen, Christine A. Peschken, Murat Inanc, Ian N. Bruce

Research output: Contribution to journalArticle

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

Original languageEnglish (US)
Pages (from-to)1530-1536
Number of pages7
JournalAnnals of the Rheumatic Diseases
Volume74
Issue number8
DOIs
StatePublished - Aug 1 2015

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Systemic Lupus Erythematosus
Clinical laboratories
Metabolic Diseases
Logistics
Adrenal Cortex Hormones
Statistical Factor Analysis
Logistic Models
Phenotype
Kidney
Therapeutics

ASJC Scopus subject areas

  • Rheumatology
  • Immunology
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Allergy

Cite this

Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus : Data from an international inception cohort. / Parker, Ben; Urowitz, Murray B.; Gladman, Dafna D.; Lunt, Mark; Donn, Rachelle; Bae, Sang Cheol; Sanchez-Guerrero, Jorge; Romero-Diaz, Juanita; Gordon, Caroline; Wallace, Daniel J.; Clarke, Ann E.; Bernatsky, Sasha; Ginzler, Ellen M.; Isenberg, David A.; Rahman, Anisur; Merrill, Joan T.; Alarcón, Graciela S.; Fessler, Barri J.; Fortin, Paul R.; Hanly, John G.; Petri, Michelle; Steinsson, Kristjan; Dooley, Mary Anne; Manzi, Susan; Khamashta, Munther A.; Ramsey-Goldman, Rosalind; Zoma, Asad A.; Sturfelt, Gunnar K.; Nived, Ola; Aranow, Cynthia; Mackay, Meggan; Ramos-Casals, Manuel; Van Vollenhoven, Ronald F.; Kalunian, Kenneth C.; Ruiz-Irastorza, Guillermo; Lim, S. Sam; Kamen, Diane L.; Peschken, Christine A.; Inanc, Murat; Bruce, Ian N.

In: Annals of the Rheumatic Diseases, Vol. 74, No. 8, 01.08.2015, p. 1530-1536.

Research output: Contribution to journalArticle

Parker, 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 2015, 'Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus: Data from an international inception cohort', Annals of the Rheumatic Diseases, vol. 74, no. 8, pp. 1530-1536. https://doi.org/10.1136/annrheumdis-2013-203933
Parker, Ben ; Urowitz, Murray B. ; Gladman, Dafna D. ; Lunt, Mark ; Donn, Rachelle ; Bae, Sang Cheol ; Sanchez-Guerrero, Jorge ; Romero-Diaz, Juanita ; Gordon, Caroline ; Wallace, Daniel J. ; Clarke, Ann E. ; Bernatsky, Sasha ; Ginzler, Ellen M. ; Isenberg, David A. ; Rahman, Anisur ; Merrill, Joan T. ; Alarcón, Graciela S. ; Fessler, Barri J. ; Fortin, Paul R. ; Hanly, John G. ; Petri, Michelle ; Steinsson, Kristjan ; Dooley, Mary Anne ; Manzi, Susan ; Khamashta, Munther A. ; Ramsey-Goldman, Rosalind ; Zoma, Asad A. ; Sturfelt, Gunnar K. ; Nived, Ola ; Aranow, Cynthia ; Mackay, Meggan ; Ramos-Casals, Manuel ; Van Vollenhoven, Ronald F. ; Kalunian, Kenneth C. ; Ruiz-Irastorza, Guillermo ; Lim, S. Sam ; Kamen, Diane L. ; Peschken, Christine A. ; Inanc, Murat ; Bruce, Ian N. / Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus : Data from an international inception cohort. In: Annals of the Rheumatic Diseases. 2015 ; Vol. 74, No. 8. pp. 1530-1536.
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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",
author = "Ben Parker and Urowitz, {Murray B.} and Gladman, {Dafna D.} and Mark Lunt and Rachelle Donn and Bae, {Sang Cheol} and Jorge Sanchez-Guerrero and Juanita Romero-Diaz and Caroline Gordon and Wallace, {Daniel J.} and Clarke, {Ann E.} and Sasha Bernatsky and Ginzler, {Ellen M.} and Isenberg, {David A.} and Anisur Rahman and Merrill, {Joan T.} and Alarc{\'o}n, {Graciela S.} and Fessler, {Barri J.} and Fortin, {Paul R.} and Hanly, {John G.} and Michelle Petri and Kristjan Steinsson and Dooley, {Mary Anne} and Susan Manzi and Khamashta, {Munther A.} and Rosalind Ramsey-Goldman and Zoma, {Asad A.} and Sturfelt, {Gunnar K.} and Ola Nived and Cynthia Aranow and Meggan Mackay and Manuel Ramos-Casals and {Van Vollenhoven}, {Ronald F.} and Kalunian, {Kenneth C.} and Guillermo Ruiz-Irastorza and Lim, {S. Sam} and Kamen, {Diane L.} and Peschken, {Christine A.} and Murat Inanc and Bruce, {Ian N.}",
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T1 - Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus

T2 - Data from an international inception cohort

AU - Parker, Ben

AU - Urowitz, Murray B.

AU - Gladman, Dafna D.

AU - Lunt, Mark

AU - Donn, Rachelle

AU - Bae, Sang Cheol

AU - Sanchez-Guerrero, Jorge

AU - Romero-Diaz, Juanita

AU - Gordon, Caroline

AU - Wallace, Daniel J.

AU - Clarke, Ann E.

AU - Bernatsky, Sasha

AU - Ginzler, Ellen M.

AU - Isenberg, David A.

AU - Rahman, Anisur

AU - Merrill, Joan T.

AU - Alarcón, Graciela S.

AU - Fessler, Barri J.

AU - Fortin, Paul R.

AU - Hanly, John G.

AU - Petri, Michelle

AU - Steinsson, Kristjan

AU - Dooley, Mary Anne

AU - Manzi, Susan

AU - Khamashta, Munther A.

AU - Ramsey-Goldman, Rosalind

AU - Zoma, Asad A.

AU - Sturfelt, Gunnar K.

AU - Nived, Ola

AU - Aranow, Cynthia

AU - Mackay, Meggan

AU - Ramos-Casals, Manuel

AU - Van Vollenhoven, Ronald F.

AU - Kalunian, Kenneth C.

AU - Ruiz-Irastorza, Guillermo

AU - Lim, S. Sam

AU - Kamen, Diane L.

AU - Peschken, Christine A.

AU - Inanc, Murat

AU - Bruce, Ian N.

PY - 2015/8/1

Y1 - 2015/8/1

N2 - 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

AB - 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

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