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院外心脏骤停患者神经功能预后判断的回顾性研究

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  • 上海交通大学医学院附属新华医院急诊科,上海 200092

收稿日期: 2021-07-21

  网络出版日期: 2023-02-27

基金资助

国家自然科学基金项目(81901930);国家自然科学基金项目(81772111);国家自然科学基金项目(82072207)

A retrospective study on prediction of neurological outcome in cardiac arrest patients of out-hospital

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  • Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

Received date: 2021-07-21

  Online published: 2023-02-27

摘要

目的:探讨神经系统体格检查各指标和血清神经元特异性烯醇化酶(neuron specific enolase,NSE)浓度对心脏骤停患者神经不良预后的预测价值。方法:回顾性研究院外心脏骤停患者,根据发病30 d的脑功能表现(cerebral performance category,CPC)分级分为良好组(CPC≤2级)和不良组(CPC≥3级)。血清NSE浓度和发病后3 d对光反射,根据格拉斯哥昏迷评分(Glasgow coma scale,GCS)测量的睁眼评分(eGCS)、肢体运动评分(mGCS)和两者之和(emGCS),计算3 d内eGCS改变(ΔeGCS)、mGCS改变(ΔmGCS)和emGCS改变情况(ΔemGCS)。使用重复测量评估相关性,利用Logistic回归分析寻找单因素和多因素预测指标。结果:不良组的NSE显著高于良好组(P<0.01)。3 d内ΔmGCS和ΔemGCS良好组显著高于不良组(P<0.05)。重复测量方差分析示eGCS、mGCS和emGCS与CPC分级呈负相关(P<0.001)。广义线性混合效应模型分析示不存在对光反射与心肺复苏的不良预后相关(P=0.002)。3 d eGCS、mGCS和emGCS,第2、3天对光反射,ΔmGCS、ΔemGCS和NSE为心脏骤停神经不良预后的单因素预测指标(P<0.05)。男性和第3天的mGCS低为心脏骤停患者神经不良预后的多因素预测指标(P<0.05)。结论:联合第3天的mGCS和性别为男性可预测心脏骤停患者不良神经系统预后。

本文引用格式

李永德, 王杨, 李响, 李雯婕, 解迪, 江少伟, 葛晓利, 王海嵘, 高成金, 潘曙明 . 院外心脏骤停患者神经功能预后判断的回顾性研究[J]. 内科理论与实践, 2022 , 17(06) : 447 -452 . DOI: 10.16138/j.1673-6087.2022.06.005

Abstract

Objective To investigate the predictive power of neurological examination results and serum neuron specific enolase(NSE) concentration for the neurological outcome of cardiac arrest patients. Methods All cardiac arrest patients were retrospectively analyzed. They were divided into good outcome group [cerebral performance category (CPC)≤2] and poor outcome group (CPC≥3) according to CPC scores on day 30. According to Glasgow coma scale (GCS), serum NSE concentration, pupil light reflex, eye opening score (eGCS), limb movement score (mGCS) and the sum of two (emGCS) were compared between two groups. Repeated measures were used to evaluate the correlation, and Logistic regression analysis was used to explore the univariate and multivariate predictors. Results The serum NSE concentration in poor outcome group was significantly higher than that in good outcome group (P<0.01). The change of mGCS (Δ mGCS) and emGCS (Δ emGCS) within first 3 days in good outcome group was significantly higher than that in poor outcome group (P<0.05). Repeated measures ANOVA showed eGCS, mGCS and emGCS were significantly correlated with CPC grades(P<0.001). The analysis of generalized linear mixed model showed there was a significant correlation between absent of pupillary light reflex and poor neurological outcome (P=0.002). The eGCS, mGCS and emGCS in first 3 days, and presence of pupil light reflex on the second and third day, Δ mGCS, Δ emGCS and serum NSE levels were univariate predictors (P<0.05). Male and mGCS on day 3 were multivariate predictors (P<0.05). Conclusions The combination of male and mGCS on the 3rd day could be used to predict the poor neurological outcome in cardiac arrest patients.

参考文献

[1] Yan S, Gan Y, Jiang N, et al. The global survival rate among adult out-of-hospital cardiac arrest patients who received cardiopulmonary resuscitation: a systematic review and meta-analysis[J]. Crit Care, 2020, 24(1): 61.
[2] Wu W, Chopra A, Ziegler C, et al. Predictive value of hospital discharge neurological outcome scores for long-term neurological status following out-of-hospital cardiac arrest[J]. Resuscitation, 2020, 151: 139-144.
[3] Sandroni C, Cariou A, Cavallaro F, et al. Prognostication in comatose survivors of cardiac arrest[J]. Resuscitation, 2014, 85(12): 1779-1789.
[4] Soar J, Callaway CW, Aibiki M, et al. Advanced life support: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations[J]. Circulation, 2015, 132(< W>16 Suppl 1): S84-S145.
[5] Weiss N, Venot M, Verdonk F, et al. Daily FOUR score assessment provides accurate prognosis of long-term outcome in out-of-hospital cardiac arrest[J]. Rev Neurol (Paris), 2015, 171(5): 437-444.
[6] Reiber H. Proteins in cerebrospinal fluid and blood: barriers, CSF flow rate and source-related dynamics[J]. Restor Neurol Neurosci, 2003, 21(3-4): 79-96.
[7] Wiberg S, Hassager C, Stammet P, et al. Single versus serial measurements of neuron-specific enolase and prediction of poor neurological outcome in persistently unconscious patients after out-of-hospital cardiac arrest[J]. PLoS One, 2017, 12(1): e0168894.
[8] Wu O, Batista LM, Lima FO, et al. Predicting clinical outcome in comatose cardiac arrest patients using early noncontrast computed tomography[J]. Stroke, 2011, 42(4): 985-992.
[9] Edgren E, Hedstrand U, Kelsey S, et al. Assessment of neurological prognosis in comatose survivors of cardiac arrest[J]. Lancet, 1994, 343(8905):1055-1059.
[10] Javaudin F, Leclere B, Segard J, et al. Prognostic performance of early absence of pupillary light reaction after recovery of out of hospital cardiac arrest[J]. Resuscitation, 2018, 127: 8-13.
[11] Obinata H, Yokobori S, Shibata Y, et al. Early automated infrared pupillometry is superior to auditory brainstem response in predicting neurological outcome after cardiac arrest[J]. Resuscitation, 2020, 154: 77-84.
[12] Monk A, Patil S. Infrared pupillometry to help predict neurological outcome for patients achieving return of spontaneous circulation following cardiac arrest: a systematic review protocol[J]. Syst Rev, 2019, 8(1): 286.
[13] Stammet P, Collignon O, Hassager C, et al. Neuron-specific enolase as a predictor of death or poor neurological outcome after out-of-hospital cardiac arrest and targeted temperature management at 33°C and 36°C[J]. J Am Coll Cardiol, 2015, 65(19): 2104-2114.
[14] Kim JH, Park I, Chung SP, et al. Optimal combination of clinical examinations for neurologic prognostication of out-of-hospital cardiac arrest patients[J]. Resuscitation, 2020, 155: 91-99.
[15] The potential role of pain-related SSEPs in the early prognostication of long-term functional outcome in post-anoxic coma[J]. Eur J Phys Rehabil Med, 2017, 53(6): 883-891.
[16] Scarpino M, Lolli F, Lanzo G, et al. SSEP amplitude accurately predicts both good and poor neurological outcome early after cardiac arres[J]. Resuscitation, 2021, 163: 162-171.
[17] Kobata H, Tucker A, Sarapuddin G, et al. Continuous amplitude-integrated electroencephalography for prognostication of cardiac arrest patients undergoing extracorporeal cardiopulmonary resuscitation with targeted temperature management[J]. Resuscitation, 2020, 156: 107-113.
[18] Kortelainen J, Ala-Kokko T, Tiainen M, et al. Early recovery of frontal EEG slow wave activity during propofol sedation predicts outcome after cardiac arrest[J]. Resuscitation, 2021, 165: 170-176.
[19] Park JS, In YN, You YH, et al. Ultra-early neurologic outcome prediction of out-of-hospital cardiac arrest survivors using combined diffusion-weighted imaging findings and quantitative analysis of apparent diffusion coefficient[J]. Resuscitation, 2020, 148: 39-48.
[20] An C, You Y, Park JS, et al. The cut-off value of a qualitative brain diffusion-weighted image (DWI) scoring system to predict poor neurologic outcome in out-of-hospital cardiac arrest(OHCA) patients after target temperature management[J]. Resuscitation, 2020, 157: 202-210.
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