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Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention
BACKGROUND: Children are frequently injured during major incidents (MI), including terrorist attacks, conflict and natural disasters. Triage facilitates healthcare resource allocation in order to maximise overall survival. A critical function of MI triage tools is to identify patients needing time-c...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548919/ https://www.ncbi.nlm.nih.gov/pubmed/34746717 http://dx.doi.org/10.1016/j.eclinm.2021.101100 |
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author | Malik, Nabeela S. Chernbumroong, Saisakul Xu, Yuanwei Vassallo, James Lee, Justine Moran, Christopher G. Newton, Tina Arul, G. Suren Lord, Janet M. Belli, Antonio Keene, Damian Foster, Mark Hodgetts, Timothy Bowley, Douglas M. Gkoutos, Georgios V. |
author_facet | Malik, Nabeela S. Chernbumroong, Saisakul Xu, Yuanwei Vassallo, James Lee, Justine Moran, Christopher G. Newton, Tina Arul, G. Suren Lord, Janet M. Belli, Antonio Keene, Damian Foster, Mark Hodgetts, Timothy Bowley, Douglas M. Gkoutos, Georgios V. |
author_sort | Malik, Nabeela S. |
collection | PubMed |
description | BACKGROUND: Children are frequently injured during major incidents (MI), including terrorist attacks, conflict and natural disasters. Triage facilitates healthcare resource allocation in order to maximise overall survival. A critical function of MI triage tools is to identify patients needing time-critical major resuscitative and surgical intervention (Priority 1 (P1) status). This study compares the performance of 11 MI triage tools in predicting P1 status in children from the UK Trauma Audit and Research Network (TARN) registry. METHODS: Patients aged <16 years within TARN (January 2008-December 2017) were included. 11 triage tools were applied to patients’ first recorded pre-hospital physiology. Patients were retrospectively assigned triage categories (P1, P2, P3, Expectant or Dead) using predefined intervention-based criteria. Tools’ performance in <16s were evaluated within four-yearly age subgroups, comparing tool-predicted and intervention-based priority status. FINDINGS: Amongst 4962 patients, mortality was 1.1% (n = 53); median Injury Severity Score (ISS) was 9 (IQR 9–16). Blunt injuries predominated (94.4%). 1343 (27.1%) met intervention-based criteria for P1, exhibiting greater intensive care requirement (60.2% vs. 8.5%, p < 0.01) and ISS (median 17 vs 9, p < 0.01) compared with P2 patients. The Battlefield Casualty Drills (BCD) Triage Sieve had greatest sensitivity (75.7%) in predicting P1 status in children <16 years, demonstrating a 38.4–49.8% improvement across all subgroups of children <12 years compared with the UK's current Paediatric Triage Tape (PTT). JumpSTART demonstrated low sensitivity in predicting P1 status in 4 to 8 year olds (35.5%) and 0 to 4 year olds (28.5%), and was outperformed by its adult counterpart START (60.6% and 59.6%). INTERPRETATION: The BCD Triage Sieve had greatest sensitivity in predicting P1 status in this paediatric trauma registry population: we recommend it replaces the PTT in UK practice. Users of JumpSTART may consider alternative tools. We recommend Lerner's triage category definitions when conducting MI evaluations. |
format | Online Article Text |
id | pubmed-8548919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85489192021-11-04 Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention Malik, Nabeela S. Chernbumroong, Saisakul Xu, Yuanwei Vassallo, James Lee, Justine Moran, Christopher G. Newton, Tina Arul, G. Suren Lord, Janet M. Belli, Antonio Keene, Damian Foster, Mark Hodgetts, Timothy Bowley, Douglas M. Gkoutos, Georgios V. EClinicalMedicine Research Paper BACKGROUND: Children are frequently injured during major incidents (MI), including terrorist attacks, conflict and natural disasters. Triage facilitates healthcare resource allocation in order to maximise overall survival. A critical function of MI triage tools is to identify patients needing time-critical major resuscitative and surgical intervention (Priority 1 (P1) status). This study compares the performance of 11 MI triage tools in predicting P1 status in children from the UK Trauma Audit and Research Network (TARN) registry. METHODS: Patients aged <16 years within TARN (January 2008-December 2017) were included. 11 triage tools were applied to patients’ first recorded pre-hospital physiology. Patients were retrospectively assigned triage categories (P1, P2, P3, Expectant or Dead) using predefined intervention-based criteria. Tools’ performance in <16s were evaluated within four-yearly age subgroups, comparing tool-predicted and intervention-based priority status. FINDINGS: Amongst 4962 patients, mortality was 1.1% (n = 53); median Injury Severity Score (ISS) was 9 (IQR 9–16). Blunt injuries predominated (94.4%). 1343 (27.1%) met intervention-based criteria for P1, exhibiting greater intensive care requirement (60.2% vs. 8.5%, p < 0.01) and ISS (median 17 vs 9, p < 0.01) compared with P2 patients. The Battlefield Casualty Drills (BCD) Triage Sieve had greatest sensitivity (75.7%) in predicting P1 status in children <16 years, demonstrating a 38.4–49.8% improvement across all subgroups of children <12 years compared with the UK's current Paediatric Triage Tape (PTT). JumpSTART demonstrated low sensitivity in predicting P1 status in 4 to 8 year olds (35.5%) and 0 to 4 year olds (28.5%), and was outperformed by its adult counterpart START (60.6% and 59.6%). INTERPRETATION: The BCD Triage Sieve had greatest sensitivity in predicting P1 status in this paediatric trauma registry population: we recommend it replaces the PTT in UK practice. Users of JumpSTART may consider alternative tools. We recommend Lerner's triage category definitions when conducting MI evaluations. Elsevier 2021-08-23 /pmc/articles/PMC8548919/ /pubmed/34746717 http://dx.doi.org/10.1016/j.eclinm.2021.101100 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Paper Malik, Nabeela S. Chernbumroong, Saisakul Xu, Yuanwei Vassallo, James Lee, Justine Moran, Christopher G. Newton, Tina Arul, G. Suren Lord, Janet M. Belli, Antonio Keene, Damian Foster, Mark Hodgetts, Timothy Bowley, Douglas M. Gkoutos, Georgios V. Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title | Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title_full | Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title_fullStr | Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title_full_unstemmed | Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title_short | Paediatric major incident triage: UK military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
title_sort | paediatric major incident triage: uk military tool offers best performance in predicting the need for time-critical major surgical and resuscitative intervention |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548919/ https://www.ncbi.nlm.nih.gov/pubmed/34746717 http://dx.doi.org/10.1016/j.eclinm.2021.101100 |
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