Abstract

Purpose The SLE Subcommittee of the Childhood Arthritis and Rheumatology Research Alliance (CARRA) is developing standardized treatment plans for proliferative lupus nephritis (LN) in childhood-onset SLE (cSLE) which will serve as the basis for future comparative effectiveness studies. The Initial Delphi survey revealed wide variability in the treatment of LN in cSLE. This abstract decribes the process of developing standardized evidence-based induction treatment plans for LN in cSLE by using consensus methods.

Highlights

  • The SLE Subcommittee of the Childhood Arthritis and Rheumatology Research Alliance (CARRA) is developing standardized treatment plans for proliferative lupus nephritis (LN) in childhood-onset SLE which will serve as the basis for future comparative effectiveness studies

  • A consensus conference attended by 12 trainees and 42 voting members of the CARRA SLE Subcommittee was conducted to discuss the components of the LN treatment plan for which there was wide variability and poor agreement

  • After the face-to-face conference, a second online survey focusing on management aspects of the induction therapy for LN was sent to the 42 voting members of the SLE Subcommittee of CARRA to resolve remaining issues

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Summary

Open Access

Rina Mina5*, Hermine Brunner, Barbara Anne Eberhard, Marilynn G Punaro, Stacy P Ardoin, Marisa S Klein-Gitelman, Linda Wagner-Weiner, Lakshmi N Moorthy, Joyce J Hsu, Eyal Muscal, Suhas M Radhakrishna, Laura E Schanberg, Carol A Wallace, Norman T Ilowite, Emily Von Scheven. Purpose The SLE Subcommittee of the Childhood Arthritis and Rheumatology Research Alliance (CARRA) is developing standardized treatment plans for proliferative lupus nephritis (LN) in childhood-onset SLE (cSLE) which will serve as the basis for future comparative effectiveness studies. The Initial Delphi survey revealed wide variability in the treatment of LN in cSLE. This abstract decribes the process of developing standardized evidence-based induction treatment plans for LN in cSLE by using consensus methods

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