医学
生物标志物
尤登J统计
曲线下面积
接收机工作特性
脑病
胶质纤维酸性蛋白
内科学
试验预测值
缺氧缺血性脑病
心脏病学
病理
放射科
生物化学
化学
免疫组织化学
作者
Alice Lagebrant,Margareta Lang,Niklas Nielsen,Kaj Blennow,Josef Dankiewicz,Hans Friberg,Christian Hassager,Janneke Horn,Jesper Kjærgaard,Mikael A Kuiper,Niklas Mattsson,Tommaso Pellis,Christian Rylander,Roger Sigmund,Pascal Stammet,Johan Undén,Henrik Zetterberg,Matt P. Wise,Tobias Cronberg,Marion Moseby-Knappe
出处
期刊:Resuscitation
[Elsevier BV]
日期:2022-12-20
卷期号:184: 109668-109668
被引量:12
标识
DOI:10.1016/j.resuscitation.2022.12.006
摘要
Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT.Retrospective analysis of CT performed at 24-168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available.In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74-0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72-0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR.Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
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