Performance of two head injury decision rules evaluated on an external cohort of 18,913 children

Shavit, Itai; Rimon, Ayelet; Waisman, Yehezkel; Borland, Meredith L.; Phillips, Natalie; Kochar, Amit; Cheek, John A.; Gilhotra, Yuri; Furyk, Jeremy; Neutze, Jocelyn; Dalziel, Stuart R.; Lyttle, Mark D.; Bressan, Sivia; Donath, Susan; Hearps, Stephen; Oakley, Ed; Crowe, Louise; Babl, Franz E.

Abstract

The Pediatric Emergency Care Applied Research Network (PECARN) decision rule demonstrates high sensitivity for identifying children at low risk for clinically important traumatic brain injury (ciTBI). As with the PECARN rule, the Israeli Decision Algorithm for Identifying TBI in Children (IDITBIC) recommends proceeding directly to computed tomography (CT) in children with Glasgow Coma Score (GCS) lower than 15. The aim was to assess the diagnostic accuracy of two clinical rules that assign children with GCS lower than 15 at presentation directly to CT.

Citation

Shavit, I., Rimon, A., Waisman, Y., Borland, M. L., Phillips, N., Kochar, A., …Babl, F. E. (2020). Performance of two head injury decision rules evaluated on an external cohort of 18,913 children. Journal of Surgical Research, 245, 426-433. https://doi.org/10.1016/j.jss.2019.07.090

• Journal Article Type: Article
• Acceptance Date: Jul 23, 2019
• Online Publication Date: Aug 20, 2019
• Publication Date: Jan 1, 2020
• Deposit Date: Jul 21, 2020
• Publicly Available Date: Aug 21, 2020
• Journal: Journal of Surgical Research
• Print ISSN: 0022-4804
• Electronic ISSN: 1095-8673
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 245
• Pages: 426-433
• DOI: https://doi.org/10.1016/j.jss.2019.07.090
• Keywords: Surgery; Head injury; Children; Accuracy; Decision rule; Computed tomography
• Public URL: https://uwe-repository.worktribe.com/output/6137378
• Additional Information: This article is maintained by: Elsevier; Article Title: Performance of Two Head Injury Decision Rules Evaluated on an External Cohort of 18,913 Children; Journal Title: Journal of Surgical Research; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jss.2019.07.090; Content Type: article; Copyright: © 2019 Elsevier Inc. All rights reserved.