Accuracy of GFAP and UCH-L1 in predicting brain abnormalities on CT scans after mild traumatic brain injury: a systematic review and meta-analysis.

IF 1.9 3区 医学 Q2 EMERGENCY MEDICINE
Armin Karamian, Hana Farzaneh, Masoud Khoshnoodi, Nazanin Maleki, Saurabh Rohatgi, Jeremy N Ford, Javier M Romero
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引用次数: 0

Abstract

Purpose: Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. In recent years, blood biomarkers including glial fibrillary acidic protein (GFAP) and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) have shown a promising ability to detect head CT abnormalities following TBI. This review aims to combine the existing research on GFAP and UCH-L1 biomarkers and examine how well they can predict abnormal CT results after mild TBI.

Methods: Our study protocol was registered in PROSPERO (CRD42024556264). PubMed, Google Scholar, and Cochrane electronic databases were searched. We reviewed 37 full-text articles for eligibility and included 14 in our systematic review and meta-analysis.

Results: Thirteen studies reported data for GFAP. The optimal cutoff of GFAP was 65.1 pg/mL with a sensitivity of 76% (95% CI 37 ̶ 95) and a specificity of 74% (95% CI 39 ̶ 93). In patients with GCS 13 ̶ 15 the optimal cutoff was 68.5 pg/mL, showing a sensitivity of 75% (95% CI 17 ̶ 98), and a specificity of 73% (95% CI 20 ̶ 97). Seven studies provided data on UCH-L1. The optimal cutoff was 225 pg/mL, with a sensitivity of 86% (95% CI 50 ̶ 97) and a specificity of 51% (95% CI 19 ̶ 83). In patients with GCS 13 ̶ 15, the optimal cutoff was 237.7 pg/mL, with a sensitivity of 89% (95% CI 74 ̶ 96), and a specificity of 36% (95% CI 29 ̶ 44). Modeling the diagnostic performance of GFAP showed that in adult patients with GCS 13-15 for ruling out CT abnormalities, at the threshold of 4 pg/mL, the optimal diagnostic accuracy was achieved with a sensitivity of 98% (95% CI 94-99) and (negative predictive value) NPV of 97%. For UCH-L1, the optimal diagnostic accuracy for ruling out intracranial abnormalities in adults with GCS 13-15 was achieved at the threshold of 64 pg/mL, with a sensitivity of 99% (95% CI 92-100) and NPV of 99%.

Conclusion: Present results suggest that GFAP and UCH-L1 have the clinical potential for screening mild TBI patients for intracranial abnormalities on head CT scans.

GFAP和UCH-L1预测轻度创伤性脑损伤后CT扫描脑异常的准确性:一项系统回顾和荟萃分析。
目的:创伤性脑损伤(TBI)是世界范围内死亡和残疾的主要原因。近年来,包括胶质纤维酸性蛋白(GFAP)和泛素羧基末端水解酶L1 (UCH-L1)在内的血液生物标志物已显示出检测脑外伤后头部CT异常的良好能力。本综述旨在结合GFAP和UCH-L1生物标志物的现有研究,探讨它们对轻度脑外伤后异常CT结果的预测效果。方法:我们的研究方案在PROSPERO注册(CRD42024556264)。检索PubMed、谷歌Scholar和Cochrane电子数据库。我们审查了37篇文章的全文,并将14篇纳入系统评价和荟萃分析。结果:13项研究报告了GFAP的数据。GFAP的最佳临界值为65.1 pg/mL,灵敏度为76% (95% CI 37 ~ 95),特异性为74% (95% CI 39 ~ 93)。在GCS 13 - 15患者中,最佳临界值为68.5 pg/mL,灵敏度为75% (95% CI 17 - 98),特异性为73% (95% CI 20 - 97)。7项研究提供了UCH-L1的数据。最佳临界值为225 pg/mL,灵敏度为86% (95% CI 50 ~ 97),特异性为51% (95% CI 19 ~ 83)。在GCS 13 - 15患者中,最佳临界值为237.7 pg/mL,灵敏度为89% (95% CI 74 - 96),特异性为36% (95% CI 29 - 44)。对GFAP的诊断性能建模显示,在排除CT异常的GCS 13-15的成人患者中,在4 pg/mL的阈值下,达到最佳诊断准确性,灵敏度为98% (95% CI 94-99),(阴性预测值)NPV为97%。对于UCH-L1,排除成人GCS 13-15颅内异常的最佳诊断准确率为64 pg/mL,灵敏度为99% (95% CI 92-100), NPV为99%。结论:GFAP和UCH-L1在轻度TBI患者头部CT扫描中筛查颅内异常具有临床潜力。
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来源期刊
CiteScore
4.50
自引率
14.30%
发文量
311
审稿时长
3 months
期刊介绍: The European Journal of Trauma and Emergency Surgery aims to open an interdisciplinary forum that allows for the scientific exchange between basic and clinical science related to pathophysiology, diagnostics and treatment of traumatized patients. The journal covers all aspects of clinical management, operative treatment and related research of traumatic injuries. Clinical and experimental papers on issues relevant for the improvement of trauma care are published. Reviews, original articles, short communications and letters allow the appropriate presentation of major and minor topics.
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