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Evaluating the construct of damage in systemic lupus erythematosus.

Sindhu R JohnsonDafna D GladmanHermine I BrunnerDavid Alan IsenbergAnn Elaine ClarkeMegan R W BarberLaurent ArnaudPaul R FortinMarta MoscaAlexandre VoskuylSusan ManziCynthia AranowAnca AskanaseGraciela S AlarconSang-Cheol BaeNathalie Costedoat-ChalumeauJessica EnglishGuillermo J Pons-EstelBernardo A Pons-EstelRebecca GilmanEllen GinzlerJohn G HanlySoren JacobsenKenneth KalunianDiane L KamenChynace LambalgenAlexandra LeggeSung Sam LimAnselm MakEric F MorandChristine PeschkenMichelle A PetriAnisur RahmanRosalind Ramsey-GoldmanJohn A ReynoldsJuanita Romero-DiazGuillermo Ruiz-IrastorzaJorge Sanchez-GuerreroElisabet SvenungssonZahi ToumaMurray B UrowitzEvelyne VinetRonald F van VollenhovenHeather WaldhauserDaniel J WallaceAsad ZomaIan N Bruce
Published in: Arthritis care & research (2021)
We identified shifts in the paradigm of SLE damage and developed a unifying conceptual framework. These data form the groundwork for the next phases of SDI development.
Keyphrases
  • oxidative stress
  • systemic lupus erythematosus
  • electronic health record
  • disease activity
  • big data
  • machine learning
  • rheumatoid arthritis
  • deep learning