Wurmb Thomas, Vollmer Tina, Sefrin Peter, Kraus Martin, Happel Oliver, Wunder Christian, Steinisch Andreas, Roewer Norbert, Maier Sebastian
Department of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany.
Department of Anaesthesiology, Hospital of Ludwigsburg, Posilipoststrasse 4, 71640, Ludwigsburg, Germany.
Scand J Trauma Resusc Emerg Med. 2015 Oct 31;23:87. doi: 10.1186/s13049-015-0170-7.
Patients with cardiac arrest have lower survival rates, when resuscitation performance is low. In In-hospital settings the first responders on scene are usually nursing staff without rhythm analysing skills. In such cases Automated External Defibrillators (AED) might help guiding resuscitation performance. At the Wuerzburg University Hospital (Germany) an AED-program was initiated in 2007. Aim of the presented study was to monitor the impact of Automated External Defibrillators on the management of in-hospital cardiac arrest events.
The data acquisition was part of a continuous quality improvement process of the Wuerzburg University Hospital. For analysing the CPR performance, the chest compression rate (CCR), compression depth (CCD), the no flow fraction (NFF), time interval from AED-activation to the first compression (TtC), the time interval from AED-activation to the first shock (TtS) and the post schock pause (TtCS) were determined by AED captured data. A questionnaire was completed by the first responders.
From 2010 to 2012 there were 359 emergency calls. From these 53 were cardiac arrests with an AED-application. Complete data were available in 46 cases. The TtC was 34 (32-52) seconds (median and IQR).The TtS was 30 (28-32) seconds (median and IQR). The TtCS was 4 (3-6) seconds (median and IQR). The CCD was 5.5 ± 1 cm while the CCR was 107 ± 11/min. The NFF was calculated as 41 %. ROSC was achieved in 21 patients (45 %), 8 patients (17 %) died on scene and 17 patients (37 %) were transferred under ongoing CPR to an Intensive Care Unit (ICU).
The TtS and TtC indicate that there is an AED-user dependent time loss. These time intervals can be markedly reduced, when the user is trained to interrupt the AED's "chain of advices" by placing the electrode-paddles immediately on the patient's thorax. At this time the AED switches directly to the analysing mode. Intensive training and adaption of the training contents is needed to optimize the handling of the AED in order to maximize its advantages and to minimize its disadvantages.
复苏操作水平较低时,心脏骤停患者的生存率也较低。在医院环境中,现场的第一反应者通常是没有心律分析技能的护理人员。在这种情况下,自动体外除颤器(AED)可能有助于指导复苏操作。2007年,德国维尔茨堡大学医院启动了一项AED计划。本研究的目的是监测自动体外除颤器对医院内心脏骤停事件管理的影响。
数据采集是维尔茨堡大学医院持续质量改进过程的一部分。为了分析心肺复苏操作,通过AED采集的数据确定胸外按压频率(CCR)、按压深度(CCD)、无血流分数(NFF)、从AED启动到首次按压的时间间隔(TtC)、从AED启动到首次电击的时间间隔(TtS)以及电击后停顿时间(TtCS)。第一反应者完成了一份问卷。
2010年至2012年期间,共接到359次急救电话。其中53次为心脏骤停并应用了AED。46例有完整数据。TtC为34(32 - 52)秒(中位数和四分位间距)。TtS为30(28 - 32)秒(中位数和四分位间距)。TtCS为4(3 - 6)秒(中位数和四分位间距)。CCD为5.5±1厘米,而CCR为107±11次/分钟。NFF计算为41%。21例患者(45%)实现了自主循环恢复(ROSC),8例患者(17%)现场死亡,17例患者(37%)在持续心肺复苏下被转送至重症监护病房(ICU)。
TtS和TtC表明存在依赖AED使用者的时间损失。当使用者经过培训,通过立即将电极板放置在患者胸部来中断AED的“建议链”时,这些时间间隔可以显著缩短。此时AED直接切换到分析模式。需要强化培训并调整培训内容,以优化AED的操作,从而最大限度地发挥其优势并最小化其劣势。