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Anti-beta 2 glycoprotein I IgA in the SLICC classification criteria dataset.

Marwa ElKhalifaAna Maria OrbaiLaurence S MagderMichelle A PetriGraciela S AlarconCaroline GordonJoan MerrillPaul R FortinIan N BruceDavid Alan IsenbergDaniel WallaceOla NivedRosalind Ramsey-GoldmanSang-Cheol BaeJohn G HanlyJorge Sanchez-GuerreroAnn E ClarkeCynthia AranowSusan ManziMurray B UrowitzDafna D GladmanKen KalunianVictoria P WerthAsad ZomaSasha BernatskyMunther KhamashtaSØren JacobsenJill P BuyonMary Anne DooleyRonald van VollenhovenEllen GinzlerThomas StollChristine PeschkenJoseph L JorizzoJeffery P CallenSam LimMurat InancDiane L KamenAnisur RahmanKristjan SteinssonAndrew G Franks
Published in: Lupus (2021)
We found the anti-beta 2 glycoprotein I IgA isotype to be more common in patients with SLE and in particular, with African descent. It could occur alone without other isotypes.
Keyphrases
  • systemic lupus erythematosus
  • machine learning
  • deep learning
  • disease activity
  • rheumatoid arthritis