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Autoantibody status according to multiparametric assay accurately estimates connective tissue disease classification and identifies clinically relevant disease clusters.

Giacomo CafaroElena BartoloniChiara BaldiniFranco FranceschiniValeria RiccieriAntonella FioravantiMarco FornaroAnna GhirardelloBoaz PaltererMaria InfantinoAmelia RigonStefania Del RossoRoberto GerliDanilo VillaltaNicola Bizzaronull nullnull null
Published in: RMD open (2023)
Extended multiparametric autoantibody assay allowed an accurate classification of CTD patients, independently of clinical features. Clustering according to autoantibody titres is able to identify clusters of CTD subjects with similar clinical features, independently of their final diagnosis.
Keyphrases
  • end stage renal disease
  • machine learning
  • deep learning
  • high throughput
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • single cell
  • rna seq
  • patient reported outcomes
  • patient reported