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心脏骤停后患者床边脑电监测的初步经验。

Preliminary experience with point-of-care EEG in post-cardiac arrest patients.

机构信息

Department of Emergency Medicine, University of Pittsburgh, United States.

Department of Emergency Medicine, University of Pittsburgh, United States.

出版信息

Resuscitation. 2019 Feb;135:98-102. doi: 10.1016/j.resuscitation.2018.12.022. Epub 2018 Dec 31.

Abstract

OBJECTIVE

Abnormal electroencephalography (EEG) patterns are common after resuscitation from cardiac arrest and have clinical and prognostic importance. Bedside continuous EEGs are not available in many institutions. We tested the feasibility of using a point-of-care system for EEG acquisition.

METHODS

We prospectively enrolled a convenience sample of post-cardiac arrest patients between 9/2015-1/2017. Upon hospital arrival, a limited EEG montage was applied. We tested both continuous EEG (cEEG) and this point-of-care EEG (eEEG). A board-certified epileptologist and a board-certified neurointensivist jointly reviewed all EEGs. Cohen's kappa coefficient evaluated agreement between eEEG and cEEG and Fisher's exact test evaluated their associations with survival to hospital discharge and proximate cause of death.

RESULTS

We studied 95 comatose post-cardiac arrest patients. Mean age was 59 (SD17) years. Most (61%) were male, few (N = 22; 23%) demonstrated shockable rhythms, and PCAC IV illness severity was present in 58 (61%). eEEG was interpretable in 57 (60%) subjects. The most common eEEG interpretations were: continuous (21%), generalized suppression (14%), burst-suppression (12%) and burst-suppression with identical bursts (10%). Seizures were detected in 2 eEEG subjects (2%). No patient with seizure or burst-suppression with identical bursts survived. cEEG demonstrated generalized suppression (31%), burst-suppression with identical bursts (27%), continuous (18%) and seizure (4%). The eEEG and cEEG demonstrated fair agreement (kappa = 0.27). Neither eEEG nor cEEG was associated with survival (p = 0.19; p = 0.11) or proximate cause of death (p = 0.14; p = 0.8) CONCLUSIONS: eEEG is feasible, although artifact often precludes interpretation. eEEG is fairly associated with cEEG and may facilitate post-cardiac arrest care.

摘要

目的

心脏骤停复苏后常出现异常脑电图(EEG)模式,具有临床和预后意义。许多机构无法提供床边连续 EEG。我们测试了使用即时护理系统进行 EEG 采集的可行性。

方法

我们前瞻性地招募了 2015 年 9 月至 2017 年 1 月期间心脏骤停后患者的方便样本。入院时,应用有限的 EEG 导联。我们同时测试了连续 EEG(cEEG)和即时护理 EEG(eEEG)。一位经过 board-certified 的癫痫专家和一位经过 board-certified 的神经重症专家共同审查了所有 EEG。Cohen's kappa 系数评估了 eEEG 和 cEEG 之间的一致性,Fisher's exact 检验评估了它们与出院时存活和近因死亡率的相关性。

结果

我们研究了 95 例昏迷的心脏骤停后患者。平均年龄为 59(SD17)岁。大多数(61%)为男性,少数(N=22;23%)表现为可除颤节律,PCAC IV 疾病严重程度为 58(61%)。57(60%)例患者的 eEEG 可解读。最常见的 eEEG 解读为:连续(21%)、广泛抑制(14%)、爆发抑制(12%)和爆发抑制伴相同爆发(10%)。2 例 eEEG 患者(2%)检测到癫痫发作。无癫痫发作或爆发抑制伴相同爆发的患者存活。cEEG 显示广泛抑制(31%)、爆发抑制伴相同爆发(27%)、连续(18%)和癫痫发作(4%)。eEEG 和 cEEG 显示出适度的一致性(kappa=0.27)。eEEG 和 cEEG 均与存活(p=0.19;p=0.11)或近因死亡率(p=0.14;p=0.8)无关。

结论

eEEG 是可行的,尽管伪影常常妨碍解读。eEEG 与 cEEG 有一定的相关性,可能有助于心脏骤停后的护理。

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