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首页> 外文期刊>Cureus. >Can We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings?
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Can We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings?

机译：我们可以通过分类初始和重新逮捕节奏变化模式来预测良好的生存结果，并在医院外心脏骤停环境中进行了改变模式吗？

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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.
机译：目的本研究的目的是调查预先暂停节奏的变化是否可以让医务人员预测患者在患有自发循环（ROSC）的患者中的生存结果，以便在医院外卡骤停（OHCA）中。方法本研究的设计是回顾性的，多区域，观测和横截面，2015年8月至2016年8月期间的确定期限。和2016年7月。心脏骤停节律被定义为可靠的节奏，这是指心室颤动（ VF）或无紫外线性心动过速（PVT）和不可震动的节奏（NS），其指的是无脉冲电活动或asystole。存活入院，存活排放和良好的脑表现类别（CPC）（CPC 1或2）被定义为良好的存活结果。结果根据节奏变更模式将总共163个受试者分为四组：NS→NS（98），S→S（27），S→NS（23）和NS→S（15）。 NS→NS模式被用作逻辑回归分析的参考。在存活到医院入院的情况下，可以→S→S模式的差距（或）（95％CI）是最高的[12.63（3.56-44.85），P：<0.001无矫正]和[7.29（ 1.96-27.10），P = 0.003调整]。？在存活到医院放电的情况下，S→S模式的或（95％CI）最高[37.14（11.71-117.78），P：<0.001无校正]和[13.85（3.69-51.97），P：<0.001调节]。在放电时的良好CPC（CPC 1或2）的情况下，S→S模式的或（95％CI）最高[96（19.14-481.60），P：<0.001无矫正]和[149.69 （19.51-1148.48），P：<0.001调整]。结论S→S组与医院入院，医院排放的存活率，与NS→NS组相比，在放电时的良好CPC（CPC 1或2）表现出最高的相关性。验证初始心脏骤停节律和先前循环重新逮捕（RA）节律模式的验证变化可以帮助我们预测OHCA设置中的良好存活结果。

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