Literature DB >> 28170122

Utility of Serum Biomarkers in the Diagnosis and Stratification of Mild Traumatic Brain Injury.

Lawrence M Lewis1, Derek T Schloemann1, Linda Papa2, Robert P Fucetola3, Jeffrey Bazarian4, Miranda Lindburg1, Robert D Welch5.   

Abstract

OBJECTIVE: The objective was to compare test characteristics of a single serum concentration of glial fibrillary acidic protein (GFAP), S-100β, and ubiquitin carboxyl terminal hydrolase L1 (UCH-L1), obtained within 6 hours of head injury, to diagnose mild traumatic brain injury (mTBI) in head-injured subjects.
METHODS: Adults aged 18 to 80 years who presented to one of seven EDs with a blunt closed head injury underwent head CT within 4 hours of injury and had blood drawn for biomarker analysis within 6 hours of injury were eligible. Subjects were considered to have mTBI if they had an initial Glasgow Coma Scale (GCS) > 13 and met one or more of the following criteria: loss of consciousness (LOC), posttraumatic amnesia, or confusion. Subjects with mTBI and an abnormal head computed tomography (CT) scan were categorized as complicated mTBI; those with a normal head CT were categorized as uncomplicated mTBI; and subjects with a GCS = 15, no LOC, no posttraumatic amnesia, and no confusion were considered to not have a mTBI. Biomarker concentration measurements for GFAP and UCH-L1 were performed using an enzyme-linked immunosorbent assay. S-100β concentration was determined using an electrochemiluminescence immunoassay. Median biomarker concentration for each group was compared using the Kruskal-Wallis test. Logistic regression was used to determine area under the receiver operating curve (AUC) for each of the three biomarkers. Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and negative and positive likelihood ratios (LRs) for the three biomarkers to differentiate between complicated mTBI, uncomplicated mTBI, and no mTBI were calculated.
RESULTS: A total of 247 subjects were enrolled and had adequate clinical and biomarker information for analysis. A total of 188 met criteria for mTBI, with 34 (18.1%) having an acute abnormality on CT (complicated mTBI). The mean (±SD) age of the study population was 45.8 (±17.3) years, and 59.9% were male. Median serum concentrations for all biomarkers were significantly different between groups, lowest in the no mTBI group, and progressively increasing in the uncomplicated and complicated mTBI groups (p < 0.0001). All three biomarkers were significant classifiers of mTBI versus no mTBI, with the following AUCs: GFAP, 0.70; S-100β, 0.69; and UCH-L1, 0.65 (p = 0.17). Sensitivity for mTBI was highest for S-100β (96.5%). NPVs ranged from 31% for UCH-L1 to 35% for GFAP. PPVs ranged from 75.5% for S-100β to 96.5% for GFAP. Negative LR ranged from 0.59 for GFAP to 0.71 for UCH-L1, with positive LR ranging from 1.0 for both UCH-L1 and S-100β to 8.7 for GFAP.
CONCLUSION: A single serum concentration of GFAP, UCH-L1, or S-100β within 6 hours of head injury may be useful in identifying and stratifying the severity of brain injury in emergency department patients with head trauma, but cannot reliably exclude a diagnosis of concussion. A positive GFAP was associated with the presence of concussion.
© 2017 by the Society for Academic Emergency Medicine.

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Year:  2017        PMID: 28170122     DOI: 10.1111/acem.13174

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  24 in total

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3.  Inflammatory Biomarkers of Traumatic Brain Injury.

Authors:  Nathan H Johnson; Roey Hadad; Ruby Rose Taylor; Javier Rodríguez Pilar; Osman Salazar; Juan Antonio Llompart-Pou; W Dalton Dietrich; Robert W Keane; Jon Pérez-Bárcena; Juan Pablo de Rivero Vaccari
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4.  A Prospective Study of Acute Blood-Based Biomarkers for Sport-Related Concussion.

Authors:  Timothy B Meier; Daniel L Huber; Luisa Bohorquez-Montoya; Morgan E Nitta; Jonathan Savitz; T Kent Teague; Jeffrey J Bazarian; Ronald L Hayes; Lindsay D Nelson; Michael A McCrea
Journal:  Ann Neurol       Date:  2020-04-20       Impact factor: 10.422

5.  Early versus Late Profiles of Inflammatory Cytokines after Mild Traumatic Brain Injury and Their Association with Neuropsychological Outcomes.

Authors:  Aditya Vedantam; Jeffrey Brennan; Harvey S Levin; James J McCarthy; Pramod K Dash; John B Redell; Jose-Miguel Yamal; Claudia S Robertson
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6.  Cost-Effectiveness of Biomarker Screening for Traumatic Brain Injury.

Authors:  YouRong Sophie Su; James M Schuster; Douglas H Smith; Sherman C Stein
Journal:  J Neurotrauma       Date:  2019-03-26       Impact factor: 4.869

Review 7.  Concussion As a Multi-Scale Complex System: An Interdisciplinary Synthesis of Current Knowledge.

Authors:  Erin S Kenzie; Elle L Parks; Erin D Bigler; Miranda M Lim; James C Chesnutt; Wayne Wakeland
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Review 8.  Current and Future Applications of Biomedical Engineering for Proteomic Profiling: Predictive Biomarkers in Neuro-Traumatology.

Authors:  Mario Ganau; Nikolaos Syrmos; Marco Paris; Laura Ganau; Gianfranco K I Ligarotti; Ali Moghaddamjou; Salvatore Chibbaro; Andrea Soddu; Rossano Ambu; Lara Prisco
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Review 9.  Ubiquitin C-Terminal Hydrolase-L1 (UCH-L1) in Prediction of Computed Tomography Findings in Traumatic Brain Injury; a Meta-Analysis.

Authors:  Fatemeh Ramezani; Amir Bahrami-Amiri; Asrin Babahajian; Kavous Shahsavari Nia; Mahmoud Yousefifard
Journal:  Emerg (Tehran)       Date:  2018-12-15

10.  A Kinetic Model for Blood Biomarker Levels After Mild Traumatic Brain Injury.

Authors:  Sima Azizi; Daniel B Hier; Blaine Allen; Tayo Obafemi-Ajayi; Gayla R Olbricht; Matthew S Thimgan; Donald C Wunsch
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

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