Impact of antidote quantity, timing and prehospital strategies in nerve agent mass casualty events
A simulation study
Bibliographic Data
| ID | 22091690 |
|---|---|
| Authors | Ruben De Rouck (0000-0002-2376-6864, Vrije Universiteit Brussel, corresponding author), Mehdi Benhassine (0000-0003-2738-8415, Royal Military Academy), Michel Debacker (0000-0003-1901-6865, Vrije Universiteit Brussel), Filip Van Utterbeeck (0000-0002-1853-8453, Royal Military Academy), Jan Vaes (Armed Forces Medical College), Isabell Meskens (Armed Forces Medical College), Ives Hubloue (0000-0002-4535-801X, Vrije Universiteit Brussel) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1640554-1640554 |
| Publication date | 2025-08-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1640554 |
| PMID | 40933405 |
| OpenAlex | W4413614551 |
| Language | EN |
| References cited | 41 |
Introduction: Mass casualty incidents (MCIs) involving nerve agents pose major challenges for emergency medical response due to rapid symptom onset, hazardous environments, and operational uncertainties. Several gaps remain in the knowledge about the prehospital response to nerve agent MCI treatment strategies and logistical decision-making. To address these gaps, this study uses Discrete Event Simulation to evaluate the impact of advanced medical stabilization (AMS) team arrival time, antidote availability, and evacuation policy on patient survival during an urban chemical-traumatic MCI with a subway sarin release scenario. Methods: A validated simulation model (SIMEDIS) was adapted to represent the full prehospital response chain, including triage, antidote administration, AMS, dry decontamination, further on-site stabilization in the forward medical post and transport to categorized hospitals. Two transport policies were modeled: Scoop&Run (rapid transport of victims to hospitals) and Stay&Play (on-site stabilization before transport). We simulated various AMS team arrival times and antidote availability scenarios to assess their impact on survival. Locations of deaths were analyzed to identify critical points of failure in the medical response chain. Results: AMS team arrival time, antidote availability, and evacuation policy significantly influenced mortality among the 25 salvageable victims. The number of deaths ranged from 8.0 (32%) in the most favorable case to 23.8 (95.2%) in the least favorable. Earlier AMS team arrival and greater antidote availability were associated with fewer deaths, particularly under the Scoop&Run policy. Stay&Play resulted in more deaths unless medical and transport capacity were significantly enhanced. Location-of-death analysis revealed preventable bottlenecks, especially during decontamination and hospital transport under the Stay&Play model. Discussion: The results highlight the importance of rapid hospital transport, swift antidote availability and administration during urban chemical MCIs. AMS team arrival time emerged as the strongest predictor of preventable mortality, showing a sigmoid-shaped curve where delays beyond 11 min led to sharp increases in death. Antidote supply showed a dose-dependent effect, but the impact diminishes with delayed administration, underscoring the need for timely delivery over sheer volume. To reduce preventable deaths in chemical MCIs, policy makers should focus on streamlining AMS team deployment, prioritizing rapid evacuation, and addressing logistical bottlenecks in decontamination and transport
Antidote · Biology · Intensive care medicine · Mass Casualty · Medical emergency · Nerve agent · Disaster Response and Management · Medicine · Trauma and Emergency Care Studies · Trauma, Hemostasis, Coagulopathy, Resuscitation · Emergency Medicine · Internal Medicine
| Highly cited | No |
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