An automated blood test for glial fibrillary acidic protein (GFAP) and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) to predict the absence of intracranial lesions on head CT in adult patients with mild traumatic brain injury: BRAINI, a multicentre observational study in Europe.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2024-12-01 Epub Date: 2024-11-29 DOI:10.1016/j.ebiom.2024.105477
Alfonso Lagares, Javier de la Cruz, Hugo Terrisse, Odile Mejan, Vladislav Pavlov, Celine Vermorel, Jean-François Payen
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引用次数: 0

Abstract

Background: Following mild traumatic brain injury (mTBI), elevated concentrations of brain-specific blood proteins glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase-L1 (UCH-L1) may be indicative of intracranial lesions normally detected by head CT scans. We sought to validate the performance of this combination of biomarkers at predetermined cutoff values with an automated immunoassay to predict which patients did not have intracranial lesions.

Methods: This prospective, observational study was conducted in France and Spain at 16 emergency departments. Adult patients with mTBI were eligible if they had a head CT scan and gave a 10-ml blood sample within 12 h of injury. GFAP and UCH-L1 serum concentrations were measured and analysed, in less than an hour time, according to predefined cutoff values of 22 pg/ml and 327 pg/ml, respectively. Serum concentrations of S100B protein were concomitantly determined in a subset of patients. The primary outcome measures were the sensitivity and negative predictive value (NPV) of the combined GFAP-UCH-L1 test to rule out intracranial lesions on head CT scans.

Clinicaltrials: gov (NCT04032509).

Findings: Between August 2019 and June 2021, 1508 patients were recruited, and 1438 were included in the main analysis. Median age was 69 years (IQR 44-83). Most patients (74%) presented 3 h after trauma. 179 (12.4%) patients were positive for intracranial lesions by CT. The sensitivity of the combined test was 98.3% (95% CI 95.0-99.7) and the specificity 24.9 (95% CI 22.6-27.4), with a NPV of 99.1% (95% CI 97.1-99.8). Three patients with a positive CT scan had negative biomarker test results. S100B had a sensitivity of 83.0% (95% CI 76.2-88.2) and a NPV of 94.2% (95% CI 91.6-96.0). Patients with higher biomarker values more frequently had poorer recovery at 3 months after injury.

Interpretation: Testing for GFAP and UCH-L1, using validated cutoffs obtained with a new, fast automated immunoassay platform, accurately predicted the absence of intracranial lesions on head CT following mTBI.

Funding: This study is co-funded by the European Institute of Innovation and Technology (EIT) Health, a body of the European Union (Grant nº19474). Biomarkers tests were funded by bioMérieux.

一项自动血液检测胶质纤维酸性蛋白(GFAP)和泛素羧基末端水解酶L1 (UCH-L1),以预测轻度创伤性脑损伤成人患者头部CT上颅内病变的缺失:BRAINI,欧洲的一项多中心观察性研究。
背景:轻度创伤性脑损伤(mTBI)后,脑特异性血蛋白胶质纤维酸性蛋白(GFAP)和泛素c端水解酶- l1 (UCH-L1)浓度升高可能表明头部CT扫描正常检测到颅内病变。我们试图通过自动免疫分析来验证这种生物标志物组合在预定截止值的性能,以预测哪些患者没有颅内病变。方法:这项前瞻性观察性研究在法国和西班牙的16个急诊科进行。成年mTBI患者如果在受伤后12小时内进行头部CT扫描并提供10ml血液样本,则符合条件。GFAP和UCH-L1血清浓度在不到一小时的时间内分别根据预先设定的截止值22 pg/ml和327 pg/ml进行测量和分析。同时测定了一部分患者的血清S100B蛋白浓度。主要观察指标为GFAP-UCH-L1联合检测排除头部CT扫描颅内病变的敏感性和阴性预测值(NPV)。Clinicaltrials: gov (NCT04032509)。研究结果:在2019年8月至2021年6月期间,共招募了1508名患者,其中1438名患者被纳入主分析。中位年龄69岁(IQR 44-83)。大多数患者(74%)在创伤后3小时出现。CT检查颅内病变阳性179例(12.4%)。联合检测的敏感性为98.3% (95% CI 95.0 ~ 99.7),特异性为24.9 (95% CI 22.6 ~ 27.4), NPV为99.1% (95% CI 97.1 ~ 99.8)。三名CT扫描呈阳性的患者的生物标志物检测结果为阴性。S100B的敏感性为83.0% (95% CI 76.2-88.2), NPV为94.2% (95% CI 91.6-96.0)。生物标志物值较高的患者在损伤后3个月的恢复往往较差。解释:GFAP和UCH-L1的检测,使用新的、快速的自动化免疫分析平台获得的有效截止值,准确地预测了mTBI后头部CT上颅内病变的缺失。资助:本研究由欧洲联盟下属机构欧洲创新与技术卫生研究所(EIT)共同资助(第19474号赠款)。生物标记物测试由biomsamrieux资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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