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Clinical phenotyping in sarcoidosis using cluster analysis.

Nancy W LinJaron ArbetMargaret M MrozShu-Yi LiaoClara I RestrepoAnnyce S MayerLi LiBriana Q BarkesSarah SchrockNabeel HamzehTasha E FingerlinNichole E CarlsonLisa A Maier
Published in: Respiratory research (2022)
Cluster analysis produced 6 sarcoidosis phenotypes that demonstrated less severe and severe phenotypes. Phenotypes 1, 2, 3 have less lung function abnormalities, a lower percentage on immunosuppressive treatment and lower Wasfi severity scores. Phenotypes 4, 5, 6 were characterized by lung function abnormalities, more parenchymal abnormalities, an increased percentage on immunosuppressive treatment and higher Wasfi severity scores. These data support using cluster analysis as an objective and clinically useful way to phenotype sarcoidosis subjects and to empower clinicians to identify those with more severe disease versus those who have less severe disease, independent of Scadding stage.
Keyphrases
  • lung function
  • cystic fibrosis
  • chronic obstructive pulmonary disease
  • air pollution
  • early onset
  • machine learning
  • drug induced
  • high throughput
  • electronic health record
  • data analysis
  • combination therapy