Search and Rescue Missions Conducted by the French Army Between 2015 and 2019.

搜救 航空学 抢救疗法 历史 医疗急救 工程类 医学 计算机科学 人工智能 外科 机器人
作者
Elsa Gines,Oscar Thabouillot
出处
期刊:PubMed [National Institutes of Health]
标识
DOI:10.55460/i75r-778o
摘要

The French Air and Space Force conducts search and rescue (SAR) missions across France. Given the large net-work of prehospital helicopter services, questions have been raised regarding their national-level efficiency. This study de-termined how many lives were saved through SAR missions at seven French bases over 5 years. We analyzed completed mission reports from seven metropolitan bases be-tween 2015 and 2019. The primary endpoint was the propor-tion of patients considered to be in imminent danger when the SAR team arrived. Missing person missions were excluded if patients were not located (n=4). We created a composite criterion based on the patient's clinical state or their clinical classification in mobile emergency and resuscitation structures (CCMS). Secondary endpoints included response time and the most frequent mission triggers and medical procedures per-formed. Of 175 mission reports, 61 patients (34.9%) were considered to be in imminent danger, and imminent danger could not be determined for 21 (12%). Trauma, sec-ondary transport, neurological distress, and cardiac distress combined accounted for 62% of all cases. The leading causes for mission deployment were traumatic pathologies (18.9%), secondary transfers (16%), and neurological distress (14.3%). The most common procedures were volume expansion (77 times), morphine administration (33), and oxygen therapy (30). SAR missions primarily assist seriously ill or injured patients in isolated areas where traditional emergency services are limited. They are often deployed as a last resort. They regularly fill a capacity deficit where conventional rescu-ers cannot operate and contribute to improving the prognosis of rescued patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cscgood完成签到,获得积分10
1秒前
三七发布了新的文献求助10
2秒前
甜甜的大香瓜完成签到 ,获得积分10
2秒前
活力小笼包完成签到 ,获得积分10
2秒前
陈晴发布了新的文献求助10
4秒前
加菲丰丰应助yuhongsun采纳,获得30
6秒前
clamdown完成签到,获得积分10
7秒前
陈陈完成签到 ,获得积分10
7秒前
百褶裙完成签到,获得积分10
7秒前
8秒前
动听冬寒完成签到,获得积分10
10秒前
10秒前
安裕智发布了新的文献求助10
12秒前
科研通AI6.2应助lebangzhanshi采纳,获得30
12秒前
NexusExplorer应助tianshicanyi采纳,获得10
13秒前
小彬发布了新的文献求助10
14秒前
14秒前
14秒前
veins完成签到,获得积分20
14秒前
单薄冰安完成签到,获得积分10
14秒前
15秒前
王娜完成签到,获得积分10
15秒前
打发打发的发到付电费完成签到,获得积分10
15秒前
16秒前
科研通AI6.4应助若俗人采纳,获得10
17秒前
AC咪咪发布了新的文献求助30
18秒前
yj发布了新的文献求助10
19秒前
田様应助霖29采纳,获得10
21秒前
Xuech完成签到,获得积分10
21秒前
喜悦寒凝完成签到 ,获得积分10
21秒前
pppcpppdpppy完成签到,获得积分10
22秒前
22秒前
年轻云朵哈完成签到,获得积分10
22秒前
23秒前
24秒前
waq完成签到 ,获得积分10
24秒前
blank完成签到,获得积分10
24秒前
尿成一条线完成签到,获得积分10
25秒前
真的是完成签到 ,获得积分10
25秒前
smart发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7319278
求助须知:如何正确求助?哪些是违规求助? 8934998
关于积分的说明 18940585
捐赠科研通 6978018
什么是DOI,文献DOI怎么找? 3214386
关于科研通互助平台的介绍 2382246
邀请新用户注册赠送积分活动 2193354