Blood biomarkers to identify patients with different intracranial lesion combinations after traumatic brain injury

IF 1.9 Q3 CLINICAL NEUROLOGY
Pia Koivikko , Ari J. Katila , Riikka SK. Takala , Iftakher Hossain , Teemu M. Luoto , Rahul Raj , Mari Koivisto , Olli Tenovuo , Kaj Blennow , Peter Hutchinson , Henna-Riikka Maanpää , Mehrbod Mohammadian , Virginia F. Newcombe , Jean-Charles Sanchez , Jussi Tallus , Mark van Gils , Henrik Zetterberg , Jussi P. Posti
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Abstract

Introduction

There is a lack of studies examining the most promising blood biomarkers for traumatic brain injury (TBI) in relation to gross pathology types.

Research question

To examine whether the admission levels of blood biomarkers can discriminate patients with different combinations of traumatic intracranial findings from patients with negative computed tomography (CT) scans.

Material and methods

One hundred thirty patients with all severities of TBI were studied. Seventy-five had CT-positive and 55 CT-negative findings. CT-positive patients were divided into three clusters (CL) using the Helsinki CT score: focal lesions (CL1), mixed lesions (CL2) and mixed lesions + intraventricular haemorrhage (CL3). CT scans were obtained upon admission and blood samples taken within 24 h from admission. S100 calcium-binding protein B (S100B), glial fibrillary acidic protein (GFAP), heart fatty-acid binding protein (H-FABP), neurofilament light (NF-L), interleukin-10 (IL-10), total-tau (t-tau), and β-amyloids 1–40 (Aβ40) and 1–42 (Aβ42) were analysed from plasma samples. CT-negative cluster was used as control.

Results

GFAP, Aβ40 and Aβ42 levels differed between the clusters, but not significantly. NF-L and t-tau discriminated CL1 from CT-negative cluster with AUCs of 0.737 and 0.771, respectively. NF-L, t-tau and GFAP discriminated CL2 from CT-negative cluster with AUCs of 0.839, 0.781 and 0.840, respectively. All biomarkers analysed were able to discriminate CL3 and CT-negative cluster.

Discussion and conclusion

All studied biomarkers distinguished the most severely injured cluster, CL3, from CT-negative cluster. The results may reflect the severity of TBI but also show that biomarkers have a variable ability to identify patients with combinations of intracranial traumatic lesions in the examined time window.
血液生物标志物识别创伤性脑损伤后不同颅内病变组合的患者
目前还缺乏关于创伤性脑损伤(TBI)中与大体病理类型相关的最有希望的血液生物标志物的研究。研究问题:探讨血液生物标志物的入院水平是否可以区分不同组合的外伤性颅内病变患者和CT扫描阴性患者。材料与方法对130例不同程度颅脑损伤患者进行研究。75例ct阳性,55例ct阴性。采用赫尔辛基CT评分将CT阳性患者分为三组:局灶性病变(CL1)、混合性病变(CL2)和混合性病变+脑室内出血(CL3)。入院时进行CT扫描,并在入院后24小时内采集血样。分析血浆样品中S100钙结合蛋白B (S100B)、胶质纤维酸性蛋白(GFAP)、心脏脂肪酸结合蛋白(H-FABP)、神经丝光(NF-L)、白细胞介素-10 (IL-10)、总tau蛋白(t-tau)、β-淀粉样蛋白1-40 (Aβ40)和1-42 (Aβ42)。ct阴性群集作为对照。结果gfap、a - β40、a - β42水平在各组间差异不显著。NF-L和t-tau分别以0.737和0.771的auc将CL1与ct阴性集群区分开来。NF-L、t-tau和GFAP区分ct阴性簇CL2的auc分别为0.839、0.781和0.840。所有生物标志物分析能够区分CL3和ct阴性簇。讨论与结论所有研究的生物标志物都区分了最严重的损伤簇CL3与ct阴性簇。结果可能反映了TBI的严重程度,但也表明生物标志物在检查的时间窗内识别颅内创伤性病变合并患者的能力是可变的。
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来源期刊
Brain & spine
Brain & spine Surgery
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
71 days
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