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 and Henriette A Moll

PLOS ONE, 2021, vol. 16, issue 7, 1-19

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

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254366 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 54366&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0254366

DOI: 10.1371/journal.pone.0254366

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().