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Cluster analysis for the identification of clinical phenotypes among antiphospholipid antibody-positive patients from the APS ACTION Registry.

Stéphane ZuilyIsabelle Clerc-UrmèsCédric BaumanDanieli AndradeSavinio SciasciaVittorio PengoMaria G G TektonidouAmaia UgarteMaria GerosaH Michael BelmontMaria Angeles Aguirre ZamoranoPaul FortinLanlan JiMaria EfthymiouHannah CohenDavid Ware BranchGuilherme Ramires de JesusCecilia NalliMichelle A PetriEsther RodriguezRicard CerveraJason S KnightTatsuya AtsumiRohan WillisMaria Laura BertolacciniJoann VegaDenis WahlDoruk Erkannull null
Published in: Lupus (2020)
Based on our hierarchical cluster analysis, we identified different clinical phenotypes of aPL-positive patients discriminated by aPL profile, lupus or CVD risk factors. Our results, while supporting the heterogeneity of aPL-positive patients, also provide a foundation to understand disease mechanisms, create new approaches for APS classification and ultimately develop new management approaches.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • systemic lupus erythematosus
  • deep learning
  • patient reported
  • bioinformatics analysis