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Machine learning to predict vasopressin responsiveness in patients with septic shock.

Aileen C ScheibnerKevin D BetthauserAlice F BewleyPaul JuangBryan LizzaScott MicekPatrick G Lyons
Published in: Pharmacotherapy (2022)
Vasopressin nonresponsiveness is common and associated with increased mortality. The models' modest performances highlight the complexity of septic shock and indicate that more research will be required before clinical decision support tools can aid in anticipating patient-specific responsiveness to vasopressin.
Keyphrases
  • septic shock
  • clinical decision support
  • machine learning
  • electronic health record
  • cardiovascular events
  • artificial intelligence
  • risk factors