Shin Heejun, Kim Giwoon, Lee Younghwan, Moon Hyungjun, Choi Hanjoo, Lee Choung Ah, Choi Hyuk Joong, Park Yongjin, Lee Kyoungmi, Jeong Wonjung
Emergency Medicine, Soonchunhyang University Hospital Bucheon, Bucheon, KOR.
Emergency Medicine, Soonchunhyang University Hospital Cheonan, Cheonan, KOR.
Cureus. 2020 Dec 10;12(12):e12019. doi: 10.7759/cureus.12019.
Objective The purpose of this study was to investigate whether a change in prehospital arrest rhythms could allow medical personnel to predict survival outcomes in patients who achieved a return of spontaneous circulation (ROSC) in the setting of out-of-hospital cardiac arrest (OHCA). Methods The design of this study was retrospective, multi-regional, observational, and cross-sectional with a determining period between August 2015 and July 2016. Cardiac arrest rhythms were defined as a shockable rhythm (S), which refers to ventricular fibrillation (VF) or pulseless ventricular tachycardia (pVT), and non-shockable rhythm (NS), which refers to pulseless electrical activity or asystole. Survival to admission, survival to discharge, and good cerebral performance category (CPC) (CPC 1 or 2) were defined as good survival outcomes. Results A total of 163 subjects were classified into four groups according to the rhythm change pattern: NS→NS (98), S→S (27), S→NS (23), and NS→S (15). NS→NS pattern was used as the reference in logistic regression analysis. In the case of survival to hospital admission, the odds ratio (OR) (95% CI) of the S→S pattern was the highest [12.63 (3.56-44.85), p: <0.001 by no correction] and [7.29 (1.96-27.10), p = 0.003 with adjusting]. In the case of survival to hospital discharge, the OR (95% CI) of the S→S pattern was the highest [37.14 (11.71-117.78), p: <0.001 by no correction] and [13.85 (3.69-51.97), p: <0.001 with adjusting]. In the case of good CPC (CPC 1 or 2) at discharge, the OR (95% CI) of the S→S pattern was the highest [96 (19.14-481.60), p: <0.001 by no correction] and [149.69 (19.51-1148.48), p: <0.001 with adjusting]. Conclusions The S→S group showed the highest correlation with survival to hospital admission, survival to hospital discharge, and good CPC (CPC 1 or 2) at discharge compared to the NS→NS group. Verifying changes in initial cardiac arrest rhythm and prehospital re-arrest (RA) rhythm patterns after prehospital ROSC can help us predict good survival outcomes in the OHCA setting.
目的 本研究旨在调查院外心脏骤停(OHCA)患者恢复自主循环(ROSC)后,院前心脏骤停节律的变化是否能让医务人员预测生存结局。方法 本研究采用回顾性、多地区、观察性横断面设计,确定时间段为2015年8月至2016年7月。心脏骤停节律分为可电击节律(S),即心室颤动(VF)或无脉性室性心动过速(pVT),以及不可电击节律(NS),即无脉性电活动或心搏停止。入院生存、出院生存和良好脑功能状态分类(CPC)(CPC 1或2)被定义为良好的生存结局。结果 共有163名受试者根据节律变化模式分为四组:NS→NS(98例)、S→S(27例)、S→NS(23例)和NS→S(15例)。NS→NS模式在逻辑回归分析中用作参照。在入院生存方面,S→S模式的优势比(OR)(95%可信区间)最高[12.63(3.56 - 44.85),未校正时p:<0.001]和[7.29(1.96 - 27.10),校正后p = 0.003]。在出院生存方面,S→S模式的OR(95%可信区间)最高[37.14(11.71 - 117.78),未校正时p:<0.001]和[13.85(3.69 - 51.97),校正后p:<0.001]。在出院时良好CPC(CPC 1或2)方面,S→S模式的OR(95%可信区间)最高[96(19.14 - 481.60),未校正时p:<0.001]和[149.69(19.51 - 1148.48),校正后p:<0.001]。结论 与NS→NS组相比,S→S组在入院生存、出院生存以及出院时良好CPC(CPC 1或2)方面显示出最高的相关性。验证院前ROSC后初始心脏骤停节律和院前再次心脏骤停(RA)节律模式的变化有助于我们预测OHCA情况下的良好生存结局。