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一项用于检测胶质纤维酸性蛋白(GFAP)和泛素羧基末端水解酶L1(UCH-L1)的自动化血液检测,以预测轻度创伤性脑损伤成年患者头部CT扫描无颅内病变:BRAINI,一项在欧洲开展的多中心观察性研究

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.

作者信息

Lagares Alfonso, de la Cruz Javier, Terrisse Hugo, Mejan Odile, Pavlov Vladislav, Vermorel Celine, Payen Jean-François

机构信息

Department of Neurosurgery, Hospital Universitario 12 de Octubre, Madrid, Spain; Universidad Complutense de Madrid, Facultad de Medicina, Departamento de Cirugía, Madrid, Spain; Instituto de Investigación Sanitaria imas12, Hospital Universitario 12 de Octubre, Madrid, Spain.

Instituto de Investigación imas12, Hospital Universitario 12 de Octubre, RICORS-SAMID, Madrid, Spain.

出版信息

EBioMedicine. 2024 Dec;110:105477. doi: 10.1016/j.ebiom.2024.105477. Epub 2024 Nov 29.

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.

摘要

背景

轻度创伤性脑损伤(mTBI)后,脑特异性血液蛋白胶质纤维酸性蛋白(GFAP)和泛素C末端水解酶-L1(UCH-L1)浓度升高可能提示通常通过头部CT扫描检测到的颅内病变。我们试图通过自动免疫测定法验证这两种生物标志物组合在预定临界值时的性能,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患者如果进行了头部CT扫描,并在受伤后12小时内采集了10毫升血液样本,则符合入选标准。根据预先定义的临界值,分别为22 pg/ml和327 pg/ml,在不到一小时的时间内测量并分析GFAP和UCH-L1血清浓度。在一部分患者中同时测定S100B蛋白的血清浓度。主要结局指标是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)。

临床试验

gov(NCT04032509)。

研究结果

2019年8月至2021年6月期间,招募了1508例患者,1438例纳入主要分析。中位年龄为69岁(IQR 44-83)。大多数患者(74%)在受伤后3小时就诊。179例(12.4%)患者CT显示颅内病变阳性。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)。3例CT扫描阳性患者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受伤后3个月恢复较差的情况更为常见。

解读

使用新的快速自动免疫测定平台获得的经过验证的临界值检测GFAP和UCH-L1,能够准确预测mTBI后头部CT扫描显示无颅内病变。

资金来源

本研究由欧盟机构欧洲创新与技术研究所(EIT)健康共同资助(资助编号19474)。生物标志物检测由生物梅里埃公司资助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc8/11647500/0ae61f13df08/gr1.jpg

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