Schierbeck S, Nord A, Svensson L, Rawshani A, Hollenberg J, Ringh M, Forsberg S, Nordberg P, Hilding F, Claesson A
Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.
Resuscitation. 2021 Jun;163:136-145. doi: 10.1016/j.resuscitation.2021.02.040. Epub 2021 Mar 3.
Early defibrillation is essential for increasing the chance of survival in out-of-hospital-cardiac-arrest (OHCA). Automated external defibrillator (AED)-equipped drones have a substantial potential to shorten times to defibrillation in OHCA patients. However, optimal locations for drone deployment are unknown. Our aims were to find areas of high incidence of OHCA on a national level for placement of AED-drones, and to quantify the number of drones needed to reach 50, 80, 90 and 100% of the target population within eight minutes.
This is a retrospective observational study of OHCAs reported to the Swedish Registry for Cardiopulmonary Resuscitation between 2010-2018. Spatial analyses of optimal drone placement were performed using geographical information system (GIS)-analyses covering high-incidence areas (>100 OHCAs in 2010-2018) and response times.
39,246 OHCAs were included. To reach all OHCAs in high-incidence areas with AEDs delivered by drone or ambulance within eight minutes, 61 drone systems would be needed, resulting in overall OHCA coverage of 58.2%, and median timesaving of 05:01 (min:sec) [IQR 03:22-06:19]. To reach 50% of the historically reported OHCAs in <8 min, 21 drone systems would be needed; for 80%, 366; for 90%, 784, and for 100%, 2408.
At a national level, GIS-analyses can identify high incidence areas of OHCA and serve as tools to quantify the need of AED-equipped drones. Use of only a small number of drone systems can increase national coverage of OHCA substantially. Prospective real-life studies are needed to evaluate theoretically optimized suggestions for drone placement.
早期除颤对于提高院外心脏骤停(OHCA)患者的生存几率至关重要。配备自动体外除颤器(AED)的无人机在缩短OHCA患者的除颤时间方面具有巨大潜力。然而,无人机的最佳部署地点尚不清楚。我们的目标是在国家层面上找到OHCA高发地区以放置配备AED的无人机,并量化在八分钟内覆盖50%、80%、90%和100%目标人群所需的无人机数量。
这是一项对2010年至2018年期间向瑞典心肺复苏登记处报告的OHCA病例进行的回顾性观察研究。使用地理信息系统(GIS)分析对无人机的最佳放置位置进行空间分析,该分析涵盖高发地区(2010年至2018年期间OHCA病例>100例)和响应时间。
纳入了39246例OHCA病例。要在八分钟内通过无人机或救护车运送AED覆盖高发地区的所有OHCA病例,需要61套无人机系统,从而使OHCA的总体覆盖率达到58.2%,平均节省时间为05:01(分钟:秒)[四分位距03:22 - 06:19]。要在<8分钟内覆盖历史报告的OHCA病例的50%,需要21套无人机系统;覆盖80%需要366套;覆盖90%需要784套,覆盖100%需要2408套。
在国家层面上,GIS分析可以识别OHCA的高发地区,并作为量化配备AED无人机需求的工具。仅使用少量无人机系统就能大幅提高OHCA的全国覆盖率。需要进行前瞻性实际研究来评估理论上优化的无人机放置建议。