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持续脑电图模式提示接受治疗性低温治疗的心脏停搏后患者最终的神经功能结局。

Continuous electroencephalogram patterns are suggestive of eventual neurologic outcomes in post-cardiac arrest patients treated with therapeutic hypothermia.

机构信息

Department of Anesthesiology and Critical Care, Cedars Sinai Medical Center, Los Angeles, CA.

Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA.

出版信息

J Crit Care. 2015 Feb;30(1):121-5. doi: 10.1016/j.jcrc.2014.10.004. Epub 2014 Oct 8.

Abstract

INTRODUCTION

Therapeutic hypothermia (TH) after cardiac arrest (CA) resuscitation is the first therapy proven to increase survival to discharge and neurologic recovery. Methods for neurologic and mortality prognostication after CA resuscitation have been called into question because they were developed based on evidence that was developed prior to the advent of TH. This study examines the relationship between electroencephalogram (EEG) patterns and mortality and neurologic outcomes in post-CA patients undergoing TH.

METHODS

Eighty-three of 732 patients who had continuous EEG (cEEG) monitoring during TH were included. Continuous EEG tracings were classified as isoelectric, low voltage, burst suppression, epileptic form, and diffuse slowing. Primary outcomes are survival to discharge and Cerebral Performance Categories (CPCs) at hospital discharge.

RESULTS

Among patients with favorable neurologic outcomes (CPC1 and CPC2), the duration cardiopulmonary resuscitation and time until return of spontaneous circulation were shorter than observed in patients with poorer neurologic outcomes (CPC3, CPC4, and CPC5). The time to target temperature was equivalent among neurologic outcome groups (499.5 minutes vs 431.0 minutes, P = .09). Favorable neurologic outcome was associated with initial presentation with ventricular tachycardia or ventricular fibrillation and had cEEG patterns suggestive of diffuse slowing and epileptiform waves.

DISCUSSION

The use of cEEG can provide prognostication information otherwise not obtainable by clinical examination. Specific cEEG patterns predicted probability of mortality for patients according to their initial rhythm of CA as a function of cardiopulmonary resuscitation time.

摘要

简介

心脏骤停(CA)复苏后进行治疗性低温(TH)是首个被证明可提高存活率和神经恢复的治疗方法。CA 复苏后用于预测神经和死亡率的方法受到质疑,因为它们是基于 TH 出现之前的证据开发的。本研究探讨了接受 TH 的 CA 后患者的脑电图(EEG)模式与死亡率和神经结局之间的关系。

方法

纳入了 732 例接受 TH 期间进行连续脑电图(cEEG)监测的患者中的 83 例。连续脑电图描记被分类为等电、低电压、爆发抑制、癫痫形式和弥漫性减慢。主要结局是出院时的存活率和出院时的脑功能分类(CPC)。

结果

在神经功能结局良好的患者(CPC1 和 CPC2)中,心肺复苏的持续时间和自主循环恢复的时间短于神经功能结局较差的患者(CPC3、CPC4 和 CPC5)。达到目标温度的时间在神经功能结局组之间相当(499.5 分钟与 431.0 分钟,P =.09)。神经功能结局良好与初始表现为室性心动过速或室颤有关,并且 cEEG 模式提示弥漫性减慢和癫痫样波。

讨论

cEEG 的使用可以提供临床检查无法获得的预后信息。特定的 cEEG 模式根据 CA 的初始节律预测患者的死亡率概率,作为心肺复苏时间的函数。

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