Glial Fibrillary Acidic Protein (GFAP) Outperforms S100 Calcium-Binding Protein B (S100B) and Ubiquitin C-Terminal Hydrolase L1 (UCH-L1) as Predictor for Positive Computed Tomography of the Head in Trauma Subjects.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 15 02 2019
revised: 18 04 2019
accepted: 19 04 2019
pubmed: 6 5 2019
medline: 21 1 2020
entrez: 4 5 2019
Statut: ppublish

Résumé

Traumatic brain injuries (TBIs) are largely underdiagnosed and may have persistent refractory consequences. Current assessments for acute TBI are limited to physical examination and imaging. Biomarkers such as glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCH-L1), and S100 calcium-binding protein B (S100B) have shown predictive value as indicators of TBI and potential screening tools. In total, 37 controls and 118 unique trauma subjects who received a clinically ordered head computed tomography (CT) in the emergency department of a level 1 trauma center were evaluated. Blood samples collected at 0-8 hours (initial) and 12-32 hours (delayed) postinjury were analyzed for GFAP, UCH-L1, and S100B concentrations. These were then compared in CT-negative and CT-positive subjects. Median GFAP, UCH-L1, and S100B concentrations were greater in CT-positive subjects at both timepoints compared with CT-negative subjects. In addition, median UCH-L1 and S100B concentrations were lower at the delayed timepoint, whereas median GFAP concentrations were increased. As predictors of a positive CT of the head, GFAP outperformed UCH-L1 and S100B at both timepoints (initial: 0.89 sensitivity, 0.62 specificity; delayed: 0.94 sensitivity, 0.67 specificity). GFAP alone also outperformed all possible combinations of biomarkers. GFAP, UCH-L1, and S100B demonstrated utility for rapid prediction of a CT-positive TBI within 0-8 hours of injury. GFAP exhibited the greatest predictive power at 12-32 hours. Furthermore, these results suggest that GFAP alone has greater utility for predicting a positive CT of the head than UCH-L1, S100B, or any combination of the 3.

Identifiants

pubmed: 31051301
pii: S1878-8750(19)31165-9
doi: 10.1016/j.wneu.2019.04.170
pii:
doi:

Substances chimiques

GFAP protein, human 0
Glial Fibrillary Acidic Protein 0
S100 Calcium Binding Protein beta Subunit 0
S100B protein, human 0
UCHL1 protein, human 0
Ubiquitin Thiolesterase EC 3.4.19.12

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e434-e444

Commentaires et corrections

Type : CommentIn

Informations de copyright

Published by Elsevier Inc.

Auteurs

Margaret Y Mahan (MY)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA; Department of Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, USA.

Maxwell Thorpe (M)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Aliya Ahmadi (A)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Tessneem Abdallah (T)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Hannah Casey (H)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Dylan Sturtevant (D)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Sénait Judge-Yoakam (S)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Caleb Hoover (C)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Daniel Rafter (D)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

James Miner (J)

Department of Emergency Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Chad Richardson (C)

Department of General Surgery, Hennepin Healthcare, Minneapolis, Minnesota, USA.

Uzma Samadani (U)

Department of Neurosurgery, Hennepin Healthcare, Minneapolis, Minnesota, USA; Department of Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, USA; Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA. Electronic address: uzma@samadani.com.

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Classifications MeSH