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Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records.

Ioannis KoutroulisTom VelezTony WangSeife YohannesJessica E GalarragaJoseph A MoralesRobert J FreishtatJames M Chamberlain
Published in: Journal of the American College of Emergency Physicians open (2022)
Compared to K-means, which is commonly used in clustering studies, LCA appears to be a more robust, clinically useful statistical tool in analyzing a heterogeneous pediatric sepsis cohort toward informing targeted therapies. Additional prospective studies are needed to validate clinical utility of predictive models that target derived pediatric sepsis phenotypes in emergency department settings.
Keyphrases
  • electronic health record
  • emergency department
  • acute kidney injury
  • septic shock
  • intensive care unit
  • single cell
  • rna seq
  • adverse drug
  • case control
  • small molecule
  • clinical decision support
  • childhood cancer