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A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

Author

Listed:
  • Ruud G Nijman
  • Dorine H Borensztajn
  • Joany M Zachariasse
  • Carine Hajema
  • Paulo Freitas
  • Susanne Greber-Platzer
  • Frank J Smit
  • Claudio F Alves
  • Johan van der Lei
  • Ewout W Steyerberg
  • Ian K Maconochie
  • Henriette A Moll

Abstract

Background: To develop a clinical prediction model to identify children at risk for revisits with serious illness to the emergency department. Methods and findings: A secondary analysis of a prospective multicentre observational study in five European EDs (the TRIAGE study), including consecutive children aged = 3%, which was useful for ruling in a revisit with serious illness, with positive likelihood ratio 4.41 (95% CI 3.87–5.01) and specificity 0.96 (95% CI 0.95–0.96). 37,546 (39%) had a risk

Suggested Citation

  • Ruud G Nijman & Dorine H Borensztajn & Joany M Zachariasse & Carine Hajema & Paulo Freitas & Susanne Greber-Platzer & Frank J Smit & Claudio F Alves & Johan van der Lei & Ewout W Steyerberg & Ian K Ma, 2021. "A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    • Handle: RePEc:plo:pone00:0254366
    DOI: 10.1371/journal.pone.0254366
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