基于脑电图模式的个性化神经元特异性烯醇化酶水平预测心脏骤停后不良预后。

IF 5.7 1区 医学 Q1 CRITICAL CARE MEDICINE
Juliette Pelle, Estelle Pruvost-Robieux, Florence Dumas, Antonin Ginguay, Julien Charpentier, Clara Vigneron, Frédéric Pène, Jean Paul Mira, Alain Cariou, Sarah Benghanem
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引用次数: 0

摘要

背景:在心脏骤停(CA)后,欧洲推荐使用神经元特异性烯醇化酶(NSE)水平bbb60µg/L在48-72小时来预测不良预后。然而,NSE的预后表现可能因脑电图(EEG)而异。目的是确定预测不良预后的NSE阈值是否根据脑电图模式和电痉挛对NSE水平的影响而变化。方法:在三级CA中心进行回顾性研究,对155例CA后72 h昏迷的成人患者进行前瞻性登记。脑电图模式按Westhall分类(良性、恶性或高度恶性)进行分类。在3个月时使用CPC量表评估神经系统预后(CPC 3-5定义为不良预后)。结果:参与者年龄64岁(IQR [53];72,5]),男性占74%。院外心律失常占83%,初始震荡心律占48%。结果良好和预后不良的患者分别有5%和8%出现电图癫痫发作(p = 0.50)。结果良好的患者NSE血药浓度显著降低(平均20 μ g/L IQR [15;[30])与不良结果组(中位IQR为110µg/l[49;308])相比,p45.2µg/l预测不良结果的特异性为100%,与推荐的NSE截止值60µg/l (Se = 66%)相比,敏感性(70.8%)更高。结合电图癫痫发作,与推荐的临界值(Se = 66.6%)相比,NSE bb0 53.5µg/L预测预后不良,特异性为100%,灵敏度(77.7%)更高。结合良性脑电图,与推荐的临界值(Sp = 94%)相比,NSE水平> 78.2µg/L高度预测预后不良,特异性更高(Sp = 100%)。结论:在AC术后昏迷患者中,根据脑电图模式个性化NSE方法可提高该生物标志物对预后不良预测的特异性和敏感性。与其他恶性脑电图相比,电痉挛时NSE水平无显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized neuron-specific enolase level based on EEG pattern for prediction of poor outcome after cardiac arrest.

Background: After cardiac arrest (CA), the European recommendations suggest to use a neuron-specific enolase (NSE) level > 60 µg/L at 48-72 h to predict poor outcome. However, the prognostic performance of NSE can vary depending on electroencephalogram (EEG). The objective was to determine whether the NSE threshold which predicts poor outcome varies according to EEG patterns and the effect of electrographic seizures on NSE level.

Methods: A retrospective study was conducted in a tertiary CA center, using a prospective registry of 155 adult patients comatose 72 h after CA. EEG patterns were classified according to the Westhall classification (benign, malignant or highly malignant). Neurological outcome was evaluated using the CPC scale at 3 months (CPC 3-5 defining a poor outcome).

Results: Participants were 64 years old (IQR [53; 72,5]), and 74% were male. 83% were out-of-hospital CA and 48% were initial shockable rhythm. Electrographic seizures were observed in 5% and 8% of good and poor outcome patients, respectively (p = 0.50). NSE blood levels were significantly lower in the good outcome (median 20 µg/L IQR [15; 30]) compared to poor outcome group (median 110 µg/l IQR [49;308], p < 0,001). Benign EEG was associated with lower level of NSE compared to malignant and highly malignant patterns (p < 0.001). The NSE level was not significantly increased in patients with seizures as compared with malignant patterns (p = 0.15). In patients with a malignant EEG, a NSE > 45.2 µg/L was predictive of unfavorable outcome with 100% specificity and a higher sensitivity (70.8%) compared to the recommended NSE cut-off of 60 µg/l (Se = 66%). Combined to electrographic seizures, a NSE > 53.5 µg/L predicts poor outcome with 100% specificity and a higher sensitivity (77.7%) compared to the recommended cut-off (Se = 66.6%). Combined to a benign EEG, a NSE level > 78.2 µg/L was highly predictive of a poor outcome with a higher specificity (Sp = 100%) compared to the recommended cut-off (Sp = 94%).

Conclusion: In comatose patients after AC, a personalized approach of NSE according to EEG pattern could improve the specificity and sensitivity of this biomarker for poor outcome prediction. Compared to others malignant EEG, no significant difference of NSE level was observed in case of electrographic seizures.

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来源期刊
Annals of Intensive Care
Annals of Intensive Care CRITICAL CARE MEDICINE-
CiteScore
14.20
自引率
3.70%
发文量
107
审稿时长
13 weeks
期刊介绍: Annals of Intensive Care is an online peer-reviewed journal that publishes high-quality review articles and original research papers in the field of intensive care medicine. It targets critical care providers including attending physicians, fellows, residents, nurses, and physiotherapists, who aim to enhance their knowledge and provide optimal care for their patients. The journal's articles are included in various prestigious databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, OCLC, PubMed, PubMed Central, Science Citation Index Expanded, SCOPUS, and Summon by Serial Solutions.
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