评估急诊医生在院外心脏骤停中识别休克性心律的表现:一项观察性模拟研究。

Emergency medicine journal : EMJ Pub Date : 2022-05-01 Epub Date: 2022-02-16 DOI:10.1136/emermed-2021-211417
Clément Derkenne, Daniel Jost, Florian Roquet, Pascal Corpet, Benoit Frattini, Romain Kedzierewicz, Guillaume Bellec, Benjamin Rajon, Marianne Fernandez, Thomas Loeb, Emmanuel Pierantoni, Antoine Lamblin, Bertrand Prunet
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引用次数: 2

摘要

背景:急诊医生可以使用手动或自动除颤器为院外心脏骤停(OHCA)患者提供除颤。急诊医生在使用手动除颤器识别可震性心律方面的表现尚未得到充分探讨,而使用自动除颤器识别可震性心律则是众所周知的(灵敏度0.91-1.00,特异性0.96-0.99)。我们进行了这项研究,以估计院前急诊医生对可震性或非可震性心律的休克/非休克决策的敏感性/特异性和速度,以及他们对手动和自动除颤的偏好。方法:我们开发了一个模拟手动除颤器的web应用程序(https://simul-shock.firebaseapp.com/)。2019年,法国六家紧急医疗服务机构的所有(262)名急诊医生被邀请参加了一项研究,在这项研究中,连续向医生展示了来自真实OHCA记录的60个ECG节律,以确定他们是否会实施休克。记录了做出决定的时间。答案与金标准(三位专家的一致答案)进行比较。我们报告了对震荡节奏(决定电击)的敏感性和对非震荡节奏(决定不电击)的特异性。医生也被问及他们更喜欢手动还是自动除颤。结果:在215名受访者中,我们能够分析190名医生的结果。57%的急诊医生倾向于手动除颤。休克节律的中位(IQR)敏感性为0.91 (0.81-1.00);非休克节律的无休克分娩的中位特异性为0.91(0.80-0.96)。更准确地说,对室性心动过速(VT)和粗性室颤(VF)的休克递送敏感性均为1.0 (1.0-1.0);精细VF的灵敏度为0.6(0.2-1)。无脉电活动(PEA)的特异性为0.83(0.72-0.86),无脉电活动的特异性为0.93(0.86-1)。决策速度中位数(秒)分别为:VT 2.0(1.6 ~ 2.7)、粗VF 2.1(1.7 ~ 2.9)、心搏停止2.4(1.8 ~ 3.5)、PEA 2.8(2.0 ~ 4.2)、细VF 2.8(2.1 ~ 4.3)。结论:总体敏感性和特异性与已发表的自动体外除颤器研究相当。具有最佳临床预后的震荡节律(VT和粗VF)被非常迅速地识别出来,并且具有非常好的敏感性。细室颤、心脏骤停和PEA的判断准确度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of emergency physicians' performance in identifying shockable rhythm in out-of-hospital cardiac arrest: an observational simulation study.

Background: Emergency physicians can use a manual or an automated defibrillator to provide defibrillation of patients who had out-of-hospital cardiac arrest (OHCA). Performance of emergency physicians in identifying shockable rhythm with a manual defibrillator has been poorly explored whereas that of automated defibrillators is well known (sensitivity 0.91-1.00, specificity 0.96-0.99). We conducted this study to estimate the sensitivity/specificity and speed of shock/no-shock decision-making by prehospital emergency physicians for shockable or non-shockable rhythm, and their preference for manual versus automated defibrillation.

Methods: We developed a web application that simulates a manual defibrillator (https://simul-shock.firebaseapp.com/). In 2019, all (262) emergency physicians of six French emergency medical services were invited to participate in a study in which 60 ECG rhythms from real OHCA recordings were successively presented to the physicians for determination of whether they would or would not administer a shock. Time to decision was recorded. Answers were compared with a gold standard (concordant answers of three experts). We report sensitivity for shockable rhythms (decision to shock) and specificity for non-shockable rhythms (decision not to shock). Physicians were also asked whether they preferred manual or automated defibrillation.

Results: Among 215 respondents, we were able to analyse results for 190 physicians. 57% of emergency physicians preferred manual defibrillation. Median (IQR) sensitivity for a shock delivery for shockable rhythm was 0.91 (0.81-1.00); median specificity for no-shock delivery for non-shockable rhythms was 0.91 (0.80-0.96). More precisely, sensitivities for shock delivery for ventricular tachycardia (VT) and coarse ventricular fibrillation (VF) were both 1.0 (1.0-1.0); sensitivity for fine VF was 0.6 (0.2-1). Specificity for not shocking a pulseless electrical activity (PEA) was 0.83 (0.72-0.86), and for asystole, specificity was 0.93 (0.86-1). Median speed of decision-making (in seconds) were: VT 2.0 (1.6-2.7), coarse VF 2.1 (1.7-2.9), asystole 2.4 (1.8-3.5), PEA 2.8 (2.0-4.2) and fine VF 2.8 (2.1-4.3).

Conclusions: Global sensitivity and specificity were comparable with published automated external defibrillator studies. Shockable rhythms with the best clinical prognoses (VT and coarse VF) were very rapidly recognised with very good sensitivity. The decision-making for fine VF or asystole and PEA was less accurate.

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