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Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes.

Rombout B E van AmstelJason N KennedyBrendon P SciclunaLieuwe D J BosHessel Peters-SengersJoe M ButlerEddie Cano-GamezJulian C KnightAlexander P J VlaarOlaf L CremerDerek C AngusTom van der PollChristopher W SeymourLonneke A van Vughtnull null
Published in: Intensive care medicine (2023)
Among critically ill patients with sepsis, subtype strategies using clinical, biomarker, and transcriptomic data do not identify comparable patient populations and are likely to reflect disparate clinical characteristics and underlying biology.
Keyphrases
  • septic shock
  • acute kidney injury
  • single cell
  • intensive care unit
  • case report
  • electronic health record
  • rna seq
  • big data
  • machine learning
  • artificial intelligence