Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2025 Jan 24;51(1):68.
doi: 10.1007/s00068-024-02697-3.

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

Affiliations
Meta-Analysis

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

Armin Karamian et al. Eur J Trauma Emerg Surg. .

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.

Keywords: Biomarker; Computed tomography; GFAP; TBI; Traumatic brain injury; UCH-L1.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Similar articles

Cited by

References

    1. Global. Regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the global burden of Disease Study 2016. Lancet Neurol. 2019;18(1):56–87. - DOI
    1. Ng SY, Lee AYW. Traumatic brain injuries: pathophysiology and potential therapeutic targets. Front Cell Neurosci. 2019;13:528. - DOI - PubMed - PMC
    1. Dewan MC, et al. Estimating the global incidence of traumatic brain injury. J Neurosurg. 2018;130(4):1080–97. - DOI - PubMed
    1. Tagliaferri F, et al. A systematic review of brain injury epidemiology in Europe. Acta Neurochir (Wien). 2006;148(3):255–68. discussion 268. - DOI - PubMed
    1. Skandsen T, et al. Incidence of mild traumatic brain Injury: a prospective hospital, Emergency Room and General Practitioner-based study. Front Neurol. 2019;10:638. - DOI - PubMed - PMC

MeSH terms