Cargando…

Kuala Lumpur train collision during the COVID-19 pandemic

BACKGROUND: Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learne...

Descripción completa

Detalles Bibliográficos
Autores principales: Idrose, Alzamani M., Abu-Zidan, Fikri M., Roslan, Nurul Liana, Hashim, Khairul Izwan M., Mohd Adibi, Saiyidi Mohd Azizi, Abd. Wahab, Mahathar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748182/
https://www.ncbi.nlm.nih.gov/pubmed/35012597
http://dx.doi.org/10.1186/s13017-022-00405-3
_version_ 1784630971015888896
author Idrose, Alzamani M.
Abu-Zidan, Fikri M.
Roslan, Nurul Liana
Hashim, Khairul Izwan M.
Mohd Adibi, Saiyidi Mohd Azizi
Abd. Wahab, Mahathar
author_facet Idrose, Alzamani M.
Abu-Zidan, Fikri M.
Roslan, Nurul Liana
Hashim, Khairul Izwan M.
Mohd Adibi, Saiyidi Mohd Azizi
Abd. Wahab, Mahathar
author_sort Idrose, Alzamani M.
collection PubMed
description BACKGROUND: Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. METHODS: Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. RESULTS: The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. Two hundred and fourteen passengers were in the trains. Sixty-four of them were injured. They had a median (range) ISS of 2 (1–43), and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9%) patients were admitted to the hospital (3 to the ICU, 3 to the ward and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) were discharged home. Six (9.4%) needed surgery. The COVID-19 tests were conducted on seven patients (10.9%) and were negative. There were no deaths. CONCLUSIONS: The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a 'binary' system for 'COVID-risk' and 'non-COVID-risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics.
format Online
Article
Text
id pubmed-8748182
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87481822022-01-11 Kuala Lumpur train collision during the COVID-19 pandemic Idrose, Alzamani M. Abu-Zidan, Fikri M. Roslan, Nurul Liana Hashim, Khairul Izwan M. Mohd Adibi, Saiyidi Mohd Azizi Abd. Wahab, Mahathar World J Emerg Surg Research BACKGROUND: Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. METHODS: Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. RESULTS: The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. Two hundred and fourteen passengers were in the trains. Sixty-four of them were injured. They had a median (range) ISS of 2 (1–43), and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9%) patients were admitted to the hospital (3 to the ICU, 3 to the ward and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) were discharged home. Six (9.4%) needed surgery. The COVID-19 tests were conducted on seven patients (10.9%) and were negative. There were no deaths. CONCLUSIONS: The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a 'binary' system for 'COVID-risk' and 'non-COVID-risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics. BioMed Central 2022-01-11 /pmc/articles/PMC8748182/ /pubmed/35012597 http://dx.doi.org/10.1186/s13017-022-00405-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Idrose, Alzamani M.
Abu-Zidan, Fikri M.
Roslan, Nurul Liana
Hashim, Khairul Izwan M.
Mohd Adibi, Saiyidi Mohd Azizi
Abd. Wahab, Mahathar
Kuala Lumpur train collision during the COVID-19 pandemic
title Kuala Lumpur train collision during the COVID-19 pandemic
title_full Kuala Lumpur train collision during the COVID-19 pandemic
title_fullStr Kuala Lumpur train collision during the COVID-19 pandemic
title_full_unstemmed Kuala Lumpur train collision during the COVID-19 pandemic
title_short Kuala Lumpur train collision during the COVID-19 pandemic
title_sort kuala lumpur train collision during the covid-19 pandemic
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748182/
https://www.ncbi.nlm.nih.gov/pubmed/35012597
http://dx.doi.org/10.1186/s13017-022-00405-3
work_keys_str_mv AT idrosealzamanim kualalumpurtraincollisionduringthecovid19pandemic
AT abuzidanfikrim kualalumpurtraincollisionduringthecovid19pandemic
AT roslannurulliana kualalumpurtraincollisionduringthecovid19pandemic
AT hashimkhairulizwanm kualalumpurtraincollisionduringthecovid19pandemic
AT mohdadibisaiyidimohdazizi kualalumpurtraincollisionduringthecovid19pandemic
AT abdwahabmahathar kualalumpurtraincollisionduringthecovid19pandemic