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使用配备自动体外除颤器的无人机对院外心脏骤停进行全国范围覆盖——地理信息系统分析

National coverage of out-of-hospital cardiac arrests using automated external defibrillator-equipped drones - A geographical information system analysis.

作者信息

Schierbeck S, Nord A, Svensson L, Rawshani A, Hollenberg J, Ringh M, Forsberg S, Nordberg P, Hilding F, Claesson A

机构信息

Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.

Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden.

出版信息

Resuscitation. 2021 Jun;163:136-145. doi: 10.1016/j.resuscitation.2021.02.040. Epub 2021 Mar 3.

Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

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