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Background: Many children with mild traumatic brain injury (mTBI), defined by a Glasgow Coma Scale (GCS) score between 13 and 15, undergo hospitalisation or cranial CT (CCT) scans despite the absence of clinically important traumatic brain injury (ciTBI; ie, hospitalisation >2 days associated with intracranial lesions on CCT, neurosurgical intervention, intensive care admission, or death). Clinical algorithms have reduced CCT scans and hospitalisations by 10%. We aimed to established age-appropriate reference values for GFAP and UCH-L1 and evaluate their diagnostic test performance in identifying ciTBI in children.
Methods: This study was a diagnostic test accuracy substudy within the PROS100B stepped wedge cluster randomised trial that included children aged 16 years or younger, clinically managed within 3 h of mTBI, with a GCS score of 15 requiring hospitalisation or CCT scan according to French Pediatric Society guidelines (equivalent to the intermediate risk group of the PECARN algorithm). Enrolment for PROS100B occurred from Nov 1, 2016, to Oct 31, 2021, at 11 hospital emergency departments in France. Stored blood samples collected from March 1, 2015, to Oct 31, 2015, from children aged 16 years or younger who were outpatients for allergic conditions unrelated to mTBI and free of neurological disease were used as a control group to calculate reference values of GFAP and UCH-L1 across four age groups (<6 months, 6 months to <2 years, 2 years to <4 years, and 4 years to <16 years). The diagnostic test performance of GFAP and UCH-L1, both above the reference range to identify ciTBI, was evaluated in the children with mTBI. GFAP and UCH-L1 were measured with the Alinity analyser (Abbott, Chicago, IL, USA).
Findings: Reference values were calculated from GFAP and UCH-L1 measured in samples from 718 control children (378 [53%] boys and 340 [47%] girls). 531 children (334 [63%] boys and 197 [37%] girls) aged 0-16 years with mTBI were included. By applying our reference values for GFAP and UCH-L1 across four age groups the biomarker combination (both biomarkers above reference ranges) had a sensitivity of 100% (95% CI 69-100), a negative predictive value of 100% (99-100), a specificity of 67% (63-71), a positive likelihood ratio of 3·01 (2·67-3·40), a negative likelihood ratio of 0, and an area under the curve of 0·83 (0·81-0·85) in identifying ciTBI.
Interpretation: Serum GFAP and UCH-L1 identify ciTBI in children with 100% sensitivity and 67% specificity, which could potentially reduce unnecessary CCT scans and hospitalisations in children with mTBI if implemented.
Funding: French Ministry of Health.
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http://dx.doi.org/10.1016/S2352-4642(24)00295-5 | DOI Listing |
Neurotrauma Rep
August 2025
Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
The sports medicine community and society at large have recognized traumatic brain injury (TBI) as a major public health concern. It is estimated that more than 150 million youths have played football in the United States. As an alternative to blood, sweat is a potential source for protein biomarkers, providing a non-invasive method for objective measurements for head safety guidelines.
View Article and Find Full Text PDFCrit Care Explor
September 2025
Surgical Services, Minneapolis VA Medical Center, Minneapolis, MN.
Objective: This post hoc study of the Progesterone for Traumatic Brain Injury, Experimental Clinical Treatment (ProTECT) III trial investigates whether improving traumatic brain injury (TBI) classification, using serum biomarkers (glial fibrillary acidic protein [GFAP] and ubiquitin carboxyl-terminal esterase L1 [UCH-L1]) and algorithmically assessed total lesion volume, could identify a subset of responders to progesterone treatment, beyond broad measures like the Glasgow Coma Scale (GCS) and Glasgow Outcome Scale-Extended (GOS-E), which may fail to capture subtle changes in TBI recovery.
Design: Brain lesion volumes on CT scans were quantified using Brain Lesion Analysis and Segmentation Tool for CT. Patients were classified into true-positive and true-negative groups based on an optimization scheme to determine a threshold that maximizes agreement between radiological assessment and objectively measured lesion volume.
Anaesthesiol Intensive Ther
August 2025
First Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Lublin, Poland.
Introduction: The aim of the study was to evaluate the neurocognitive safety of two schemes of general anesthesia based on propofol or sevoflurane applied to patients undergoing laparoscopic gynecological operations, with a special focus on the patients' age, American Society of Anesthesiologists (ASA) physical status/risk category I, II, or III, and levels of neuromarkers.
Material And Methods: The Montreal Cognitive Assessment (MoCA) was chosen for cognitive assessment. The potential neuroinjury after anesthesia and operation was assessed with a set of neuromarkers: glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), tau protein (tau), and ubiquitin C-terminal hydrolase L1 (UCH-L1).
J Pers Med
August 2025
Internal Medicine and Palliative Care Clinical Management Unit, Hospital Universitario de Jerez de La Frontera, Ronda de Circunvalación S/N, 11407 Jerez de La Frontera, Spain.
Traumatic brain injury (TBI), especially mild TBI (mTBI), is frequently caused by traffic accidents, falls, or sports injuries. Although computed tomography (CT) is the gold standard for diagnosis, overuse can lead to unnecessary radiation exposure, increased healthcare costs, and emergency department saturation. Blood-based biomarkers have emerged as potential tools to optimize CT scan use.
View Article and Find Full Text PDFNeurology
September 2025
Department of Neurology, Jackson Memorial Hospital, Miami, FL.
Background And Objectives: Outcome prediction in traumatic brain injury (TBI) guides treatment decisions. Biomarkers such as S100 calcium-binding protein B (S100B), glial fibrillary acidic protein (GFAP), neuron-specific enolase (NSE), and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) have shown prognostication value, but relative effectiveness is unknown. This network meta-analysis (NMA) explored the relative predictive value of these 4 biomarkers for mortality and functional outcomes after moderate/severe TBI.
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