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利用计算机模拟优化神经毒剂大量伤亡事件中的医疗护理

Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation.

机构信息

Research Group on Emergency and Disaster Medicine, Vrije Universiteit Brussel, Laarbeeklaan 103, Jette, 1090, Belgium.

Simulation, Modelling, and Analysis of Complex Systems, Department of Mathematics, Royal Military Academy, Renaissancelaan 30, Brussels, 1000, Belgium.

出版信息

J Med Syst. 2024 Sep 5;48(1):82. doi: 10.1007/s10916-024-02094-8.

Abstract

INTRODUCTION

Chemical mass casualty incidents (MCIs) pose a substantial threat to public health and safety, with the capacity to overwhelm healthcare infrastructure and create societal disorder. Computer simulation systems are becoming an established mechanism to validate these plans due to their versatility, cost-effectiveness and lower susceptibility to ethical problems.

METHODS

We created a computer simulation model of an urban subway sarin attack analogous to the 1995 Tokyo sarin incident. We created and combined evacuation, dispersion and victim models with the SIMEDIS computer simulator. We analyzed the effect of several possible approaches such as evacuation policy ('Scoop and Run' vs. 'Stay and Play'), three strategies (on-site decontamination and stabilization, off-site decontamination and stabilization, and on-site stabilization with off-site decontamination), preliminary triage, victim distribution methods, transport supervision skill level, and the effect of search and rescue capacity.

RESULTS

Only evacuation policy, strategy and preliminary triage show significant effects on mortality. The total average mortality ranges from 14.7 deaths in the combination of off-site decontamination and Scoop and Run policy with pretriage, to 24 in the combination of onsite decontamination with the Stay and Play and no pretriage.

CONCLUSION

Our findings suggest that in a simulated urban chemical MCI, a Stay and Play approach with on-site decontamination will lead to worse outcomes than a Scoop and Run approach with hospital-based decontamination. Quick transport of victims in combination with on-site antidote administration has the potential to save the most lives, due to faster hospital arrival for definitive care.

摘要

简介

化学大规模伤亡事件(MCIs)对公共健康和安全构成了重大威胁,有能力使医疗基础设施不堪重负并造成社会秩序混乱。由于其多功能性、成本效益和较低的伦理问题敏感性,计算机模拟系统正成为验证这些计划的一种既定机制。

方法

我们创建了一个类似于 1995 年东京沙林袭击事件的城市地铁沙林袭击计算机模拟模型。我们使用 SIMEDIS 计算机模拟器创建并组合了疏散、扩散和受害者模型。我们分析了几种可能方法的效果,例如疏散政策(“ scoop and run”与“ stay and play”)、三种策略(现场去污和稳定、场外去污和稳定、现场稳定加场外去污)、初步分诊、受害者分布方法、运输监督技能水平以及搜索和救援能力的影响。

结果

只有疏散政策、策略和初步分诊对死亡率有显著影响。总平均死亡率从现场去污和 scoop and run 政策与分诊相结合的 14.7 例死亡到现场去污和 stay and play 以及无分诊相结合的 24 例死亡不等。

结论

我们的研究结果表明,在模拟城市化学 MCI 中,现场去污的 stay and play 方法比基于医院去污的 scoop and run 方法会导致更差的结果。由于快速送往医院进行明确治疗,快速运送受害者并结合现场解毒剂给药有可能挽救最多的生命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3640/11377464/8a283f8e946a/10916_2024_2094_Fig1_HTML.jpg

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