PLoS ONE (Jan 2021)

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

  • 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

DOI
https://doi.org/10.1371/journal.pone.0254366
Journal volume & issue
Vol. 16, no. 7
p. e0254366

Abstract

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BackgroundTo develop a clinical prediction model to identify children at risk for revisits with serious illness to the emergency department.Methods and findingsA 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 ConclusionWe developed a prediction model and a digital calculator which can aid physicians identifying those children at highest and lowest risks for developing a serious illness after initial discharge from the ED, allowing for more targeted safety netting advice and follow-up.