Quantification of brain tissue injury and prediction of prognosis using serum GFAP and UCH-L1: A multicenter prospective cohort study

医学 队列 前瞻性队列研究 内科学 队列研究 病理
作者
Zhen-Ni Guo,Yang Qu,Reziya Abuduxukuer,Hang Jin,Peng Zhang,Zi‐Duo Shen,Han Zhang,Xiangyu Zheng,Yu Zhang,Yumei Chen,Yang Zheng,Zhi-Mei Yuan,Jing Yao,Yali Wang,Miao Zhang,Yang Li,Yingying Gu,Lili Zhao,Chen-Peng Dong,Yongfei Jiang
出处
期刊:International Journal of Stroke [SAGE Publishing]
卷期号:21 (2): 221-232
标识
DOI:10.1177/17474930251366103
摘要

BACKGROUND: It remains unclear whether the serum levels of the brain injury biomarkers (glial fibrillary acidic protein [GFAP] and ubiquitin C-terminal hydrolase-L1 [UCH-L1]) can be used to quantitatively evaluate brain tissue injury and predict prognosis in patients with intravenous thrombolysis (IVT). AIM: This study investigates the association between serum GFAP and UCH-L1 levels with functional outcomes in patients receiving IVT. METHODS: Patients were prospectively enrolled from 16 hospitals. We measured serum GFAP and UCH-L1 levels 24 hours after IVT. Infarct volume, hemorrhagic transformation (HT), and short- and long-term prognostic indicators were evaluated. GFAP and UCH-L1 cutoff levels for predicting 3-month unfavorable outcomes were derived, and a biomarker-based model was established and subjected to internal and external validation. RESULTS: This study included 1028 patients. Higher GFAP and UCH-L1 levels were independently associated with larger infarct volume, HT, higher 24-hour and 7-day National Institutes of Health Stroke Scale scores, and 3-month modified Rankin Scale scores. The cutoff levels for GFAP and UCH-L1 (116 and 292 pg/mL, respectively) predicted patients with 3-month unfavorable outcomes with a specificity and positive predictive value (PPV) of 97.56% (95% confidence interval [CI], 94.51-99.00) and 88.68% (95% CI, 76.28-95.31), respectively, in the training cohort. In the testing and validation cohorts, specificity was 97.83% (95% CI, 91.62-99.62) and 96.90% (95% CI, 91.77-99.00), respectively, and PPV was 90.00% (95% CI, 66.87-98.25) and 75.00% (95% CI, 47.41-91.67), respectively. Furthermore, the biomarker-based nomogram model showed good predictability of 3-month prognosis in the different cohorts. CONCLUSIONS: Serum GFAP and UCH-L1 levels can be used to quantitatively evaluate brain tissue injury and predict the prognosis of patients with IVT.
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
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
无限翅膀完成签到,获得积分10
4秒前
沉静的清涟完成签到,获得积分10
6秒前
luckweb完成签到,获得积分10
6秒前
luckweb发布了新的文献求助10
9秒前
飞矢不动完成签到,获得积分10
10秒前
qausyh完成签到,获得积分10
12秒前
hongtaoli2024完成签到 ,获得积分10
13秒前
14秒前
闫栋完成签到 ,获得积分10
14秒前
ninomae完成签到 ,获得积分10
15秒前
dbc1234应助科研通管家采纳,获得10
15秒前
dbc1234应助科研通管家采纳,获得10
15秒前
yoooooooo完成签到,获得积分10
15秒前
甜甜的粥完成签到,获得积分10
16秒前
俏皮冰露完成签到,获得积分10
16秒前
Brave发布了新的文献求助10
18秒前
暖手的蓝莓奶茶完成签到 ,获得积分10
20秒前
CC_Galaxy完成签到 ,获得积分10
22秒前
思源应助Wang采纳,获得10
22秒前
Drose完成签到,获得积分10
25秒前
Korai完成签到 ,获得积分10
26秒前
qqaeao完成签到,获得积分10
30秒前
彪悍的熊猫完成签到,获得积分10
31秒前
不吃葱花行不行完成签到 ,获得积分10
34秒前
luckweb发布了新的文献求助10
35秒前
菜鸟学习完成签到 ,获得积分10
36秒前
cdercder应助Kevin采纳,获得10
41秒前
42秒前
小二郎应助奶茶一天一杯采纳,获得10
49秒前
854fycchjh完成签到,获得积分10
50秒前
傲慢的小人完成签到 ,获得积分10
52秒前
高高的毒娘完成签到 ,获得积分10
55秒前
neufy完成签到,获得积分10
57秒前
ccccchen完成签到,获得积分10
58秒前
小调完成签到,获得积分10
58秒前
可靠的线虫完成签到 ,获得积分10
59秒前
机智友灵完成签到 ,获得积分10
1分钟前
1分钟前
xiaoQ完成签到,获得积分10
1分钟前
luckweb发布了新的文献求助10
1分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
The recovery-stress questionnaires : user manual 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7257699
求助须知:如何正确求助?哪些是违规求助? 8879580
关于积分的说明 18757499
捐赠科研通 6938073
什么是DOI,文献DOI怎么找? 3201148
关于科研通互助平台的介绍 2375264
邀请新用户注册赠送积分活动 2176963