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The use of patient-reported outcome measures to classify type 1 and 2 systemic lupus erythematosus activity.

Amanda M EudyBryce B ReeveTheresa ColesLi LinJennifer L RogersDavid S PisetskyLisa G Criscione-SchreiberJayanth DossRebecca SadunKai SunMegan Eb Clowse
Published in: Lupus (2022)
Our findings indicate Type 2 SLE activity can be identified by patient-reported data. The use of PROs was not as accurate at predicting Type 1 activity. These findings highlight the challenges of using PROs to categorize and classify SLE symptoms since some manifestations of Type 1 activity (e.g., nephritis) may be essentially clinically silent while other Type 1 manifestations may cause severe symptoms.
Keyphrases
  • systemic lupus erythematosus
  • disease activity
  • patient reported
  • patient reported outcomes
  • rheumatoid arthritis
  • high resolution
  • machine learning
  • sleep quality
  • deep learning