Department of General and Interventional Cardiology, University Heart Center Hamburg Eppendorf, Hamburg, Germany.
Department of Intensive Care Medicine, University Clinic Hamburg Eppendorf, Hamburg, Germany.
Resuscitation. 2019 Mar;136:14-20. doi: 10.1016/j.resuscitation.2019.01.011. Epub 2019 Jan 14.
Neuron-specific-enolase (NSE) is frequently used to predict the neurologic outcome in persistently unconscious patients after cardiopulmonary resuscitation (CPR). However, its predictive value is unclear in the setting of veno-arterial extracorporeal membrane oxygenation therapy (ECMO). Aim of this project is to evaluate the predictive value of NSE in ECMO patients.
NSE was measured after 24, 48, and 72 h in post-CPR ECMO patients. Neurologic status was evaluated using the best Cerebral Performance Categories Score (CPC) during the hospital stay. Patients who deceased within the first 24 h and patients who were awake during the first 24 h were excluded. ROC curves were calculated to assess the discriminative ability of single NSE measurements. Trajectories of serial NSE values were investigated using latent class mixed models.
The derivation cohort consisted of 65 patients, 30-day all-cause mortality was 47.7% and a poor neurological outcome with a CPC score of 4-5 was seen 30.7%. NSE measurement after 48 h showed the best discrimination for poor neurological outcome (AUC of 0.87 in the ROC curve; cut-off value of 70 μg/L). Specificity was highest if using serial NSE measurements at all three time points. These results could be validated in an external cohort of 64 patients.
In post-CPR patients on ECMO, NSE can be used to assess the neurologic outcome. Importantly, specificity was highest if using serial NSE measurements. Further research using prospective datasets is needed to verify these findings.
神经元特异性烯醇化酶(NSE)常用于预测心肺复苏(CPR)后持续无意识患者的神经预后。然而,在静脉-动脉体外膜肺氧合治疗(ECMO)的情况下,其预测价值尚不清楚。本项目旨在评估 NSE 在 ECMO 患者中的预测价值。
在 CPR 后 ECMO 患者中测量 NSE 在 24、48 和 72 小时后的水平。通过住院期间最佳的脑功能分类评分(CPC)评估神经状态。排除在 24 小时内死亡的患者和在 24 小时内清醒的患者。计算 ROC 曲线以评估单次 NSE 测量的判别能力。使用潜在类别混合模型研究连续 NSE 值的轨迹。
推导队列包括 65 例患者,30 天全因死亡率为 47.7%,CPC 评分为 4-5 的不良神经预后发生率为 30.7%。48 小时后 NSE 测量对不良神经预后具有最佳的判别能力(ROC 曲线的 AUC 为 0.87;截断值为 70μg/L)。如果在所有三个时间点使用连续 NSE 测量,特异性最高。这些结果可以在 64 例外部队列中得到验证。
在 ECMO 治疗的 CPR 后患者中,NSE 可用于评估神经预后。重要的是,如果使用连续 NSE 测量,特异性最高。需要使用前瞻性数据集进一步研究来验证这些发现。