军队大规模伤亡响应中分流的局限性:病例系列。

Stephen C Rush, Michael J Lauria, Erik Scott DeSoucy, Eric J Koch, Jonathan J Kamler, Michael A Remley, Nate Alway, Fredrick Brodie, Andrew Foudrait, Paul Barendregt, Michael Atkins, Keary Miller, Richard Hines, Matthew Champagne, Lorenzo Paladino, Stacy A Shackelford, Ethan A Miles, Joseph Obiajulu, Warren C Dorlac, Jennifer M Gurney, Douglas Robb, Ricky C Kue
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引用次数: 0

摘要

导言:作战环境中的大规模伤亡事件(MASCALs)涉及大量人员伤亡,使即时可用的资源不堪重负。正式分流系统使用诊断算法、彩色标记和四个或更多命名类别。我们假设,正规的分流系统没有经过充分的培训和实践,而且过于复杂,无法在真正的 MASCAL 事件中成功实施。这项回顾性分析评估了分诊系统在院前军事MASCAL中的实际应用情况以及MASCAL管理的其他方面:我们调查了我们所知道的参加过军事院前 MASCAL 的特种作战部队 (SOF) 医护人员,并对他们进行了分析。我们使用描述性统计对事件范围、正式分诊算法和彩色标记的使用、类别数量以及现场干预措施等综合数据进行了分析,并总结了经验教训:从 1996 年到 2022 年,我们共发现了 29 起由军事医疗人员在院前环境中处理的 MASCAL 事件。每次事件的中位数为 3 名医护人员(范围为 1-85)和 15 名伤员(范围为 6-519)。仅在一次事件中使用了四个或四个以上的正式分流类别。未使用彩色标记和正式算法。在 29 次任务中有 27 次(93%)实施了救生干预,在 4 次(17%)MASCAL 中实施了输血。最重要的经验教训是1) 安全和问责制是 MASCAL 管理的基石;2) 伤员转移是优先事项;3) 默认采用直观的分流类别;4) 在时间和战术允许的情况下实施救生干预:结论:在实际的军事院前 MASCAL 管理中,很少使用要求使用诊断算法、彩色标签和四五个类别的正式分流系统。现场分诊培训应简化、务实,这些实例就是很好的例子。
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Limitations of Triage in Military Mass Casualty Response: A Case Series.

Introduction: Mass casualty events (MASCALs) in the combat environment, which involve large numbers of casualties that overwhelm immediately available resources, are fundamentally chaotic and dynamic and inherently dangerous. Formal triage systems use diagnostic algorithms, colored markers, and four or more named categories. We hypothesized that formal triage systems are inadequately trained and practiced and too complex to successfully implement in true MASCAL events. This retrospective analysis evaluates the real-world application of triage systems in prehospital military MASCALs and other aspects of MASCAL management.

Methods: We surveyed Special Operations Forces (SOF) medics known to us who have participated in military prehospital MASCALs and analyzed them. Aggregated data describing the scope of the incidents, the use of formal triage algorithms and colored markers, the number of categories, and the interventions on scene were analyzed using descriptive statistics, and lessons learned were consolidated.

Results: From 1996 to 2022 we identified 29 MASCALs that were managed by military medics in the prehospital setting. There was a median of three providers (range 1-85) and 15 casualties (range 6-519) per event. Four or more formal triage categories were used in only one event. Colored markers and formal algorithms were not used. Life-saving interventions were performed in 27 of 29 (93%) missions and blood transfusions were performed in four (17%) MASCALs. The top lessons learned were: 1) security and accountability are cornerstones of MASCAL management; 2) casualty movement is a priority; 3) intuitive triage categories are the default; 4) life-saving interventions are performed as time and tactics permit.

Conclusion: Formal triage systems requiring the use ofdiagnostic algorithms, colored tags, and four or five categories are seldom implemented in real-world military prehospital MASCAL management. The training of field triage should be simplified and pragmatic, as exemplified by these instances.

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