Serum GFAP and UCH-L1 for the prediction of neurological outcome in comatose cardiac arrest patients

医学 胶质纤维酸性蛋白 接收机工作特性 烯醇化酶 生物标志物 内科学 曲线下面积 复苏 心脏病学 病理 麻醉 免疫组织化学 生物化学 化学
作者
Florian Ebner,Marion Moseby-Knappe,Niklas Mattsson,Gisela Lilja,Irina Dragancea,Johan Undén,Hans Friberg,David Erlinge,Jesper Kjærgaard,Christian Hassager,Matt P. Wise,Michaël Kuiper,Pascal Stammet,Michael Wanscher,Janneke Horn,Susann Ullén,Tobias Cronberg,Niklas Nielsen
出处
期刊:Resuscitation [Elsevier BV]
卷期号:154: 61-68 被引量:44
标识
DOI:10.1016/j.resuscitation.2020.05.016
摘要

Neurological outcome prediction is crucial early after cardiac arrest. Serum biomarkers released from brain cells after hypoxic-ischaemic injury may aid in outcome prediction. The only serum biomarker presently recommended in the European Resuscitation Council prognostication guidelines is neuron-specific enolase (NSE), but NSE has limitations. In this study, we therefore analyzed the outcome predictive accuracy of the serum biomarkers glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase-L1 (UCH-L1) in patients after cardiac arrest.Serum GFAP and UCH-L1 were collected at 24, 48 and 72 h after cardiac arrest. The primary outcome was neurological function at 6-month follow-up assessed by the cerebral performance category scale (CPC), dichotomized into good (CPC1-2) and poor (CPC3-5). Prognostic accuracies were tested with receiver-operating characteristics by calculating the area under the receiver-operating curve (AUROC) and compared to the AUROC of NSE.717 patients were included in the study. GFAP and UCH-L1 discriminated between good and poor neurological outcome at all time-points when used alone (AUROC GFAP 0.88-0.89; UCH-L1 0.85-0.87) or in combination (AUROC 0.90-0.91). The combined model was superior to GFAP and UCH-L1 separately and NSE (AUROC 0.75-0.85) at all time-points. At specificities ≥95%, the combined model predicted poor outcome with a higher sensitivity than NSE at 24 h and with similar sensitivities at 48 and 72 h.GFAP and UCH-L1 predicted poor neurological outcome with high accuracy. Their combination may be of special interest for early prognostication after cardiac arrest where it performed significantly better than the currently recommended biomarker NSE.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
卫思风发布了新的文献求助30
刚刚
1秒前
1秒前
2秒前
搜集达人应助耶耶耶采纳,获得10
2秒前
卜念发布了新的文献求助10
2秒前
657完成签到 ,获得积分10
2秒前
orixero应助活泼采纳,获得10
2秒前
2秒前
小二郎应助shi hui采纳,获得10
2秒前
2秒前
无情元灵发布了新的文献求助10
3秒前
3秒前
qq完成签到,获得积分20
3秒前
慕青应助要减肥金针菇采纳,获得10
3秒前
浮游应助东东呀采纳,获得10
3秒前
ojhhosh发布了新的文献求助10
3秒前
李林鑫完成签到 ,获得积分10
3秒前
Lee完成签到,获得积分10
4秒前
单纯的幻竹完成签到,获得积分10
4秒前
Owen应助木巳采纳,获得10
4秒前
在水一方应助zc采纳,获得10
4秒前
噗宝凹发布了新的文献求助10
4秒前
Qxx完成签到 ,获得积分10
5秒前
赘婿应助顺心绮兰采纳,获得10
5秒前
STH发布了新的文献求助10
5秒前
5秒前
Lucas应助zskyworth采纳,获得10
5秒前
坦率寻雪发布了新的文献求助10
6秒前
科研通AI2S应助my采纳,获得10
6秒前
浮游应助三水采纳,获得10
6秒前
恰饭睡觉发布了新的文献求助10
7秒前
冀君赏完成签到,获得积分10
7秒前
我到了啊完成签到,获得积分10
8秒前
我是老大应助www采纳,获得10
8秒前
8秒前
echo发布了新的文献求助50
8秒前
9秒前
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Investigation the picking techniques for developing and improving the mechanical harvesting of citrus 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5193007
求助须知:如何正确求助?哪些是违规求助? 4375799
关于积分的说明 13626640
捐赠科研通 4230400
什么是DOI,文献DOI怎么找? 2320393
邀请新用户注册赠送积分活动 1318798
关于科研通互助平台的介绍 1269105