Login / Signup

Neonatal sepsis prediction through clinical decision support algorithms: A systematic review.

Emma PersadKerstin JostAntoine HonoréDavid ForsbergKaren CosteHanna OlssonSusanne RautiainenEric Herlenius
Published in: Acta paediatrica (Oslo, Norway : 1992) (2021)
Heart rate-based parameters are reliable components of CDSAs for sepsis prediction, particularly in combination with additional vital signs and demographics. However, inconclusive evidence and limited standardisation restricts clinical implementation of CDSAs outside of a controlled research environment. Further experimentation and comparison of parameter combinations and testing of new CDSAs are warranted.
Keyphrases
  • heart rate
  • clinical decision support
  • heart rate variability
  • septic shock
  • acute kidney injury
  • blood pressure
  • intensive care unit
  • electronic health record
  • machine learning
  • healthcare
  • quality improvement