Cargando…

Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy

Blood biomarkers have been explored for their potential to provide objective measures in the assessment of traumatic brain injury (TBI). However, it is not clear which biomarkers are best for diagnosis and prognosis in different severities of TBI. Here, we compare existing studies on the discriminat...

Descripción completa

Detalles Bibliográficos
Autores principales: Gan, Zoe S., Stein, Sherman C., Swanson, Randel, Guan, Shaobo, Garcia, Lizette, Mehta, Devanshi, Smith, Douglas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498532/
https://www.ncbi.nlm.nih.gov/pubmed/31105646
http://dx.doi.org/10.3389/fneur.2019.00446
_version_ 1783415629510868992
author Gan, Zoe S.
Stein, Sherman C.
Swanson, Randel
Guan, Shaobo
Garcia, Lizette
Mehta, Devanshi
Smith, Douglas H.
author_facet Gan, Zoe S.
Stein, Sherman C.
Swanson, Randel
Guan, Shaobo
Garcia, Lizette
Mehta, Devanshi
Smith, Douglas H.
author_sort Gan, Zoe S.
collection PubMed
description Blood biomarkers have been explored for their potential to provide objective measures in the assessment of traumatic brain injury (TBI). However, it is not clear which biomarkers are best for diagnosis and prognosis in different severities of TBI. Here, we compare existing studies on the discriminative abilities of serum biomarkers for four commonly studied clinical situations: detecting concussion, predicting intracranial damage after mild TBI (mTBI), predicting delayed recovery after mTBI, and predicting adverse outcome after severe TBI (sTBI). We conducted a literature search of publications on biomarkers in TBI published up until July 2018. Operating characteristics were pooled for each biomarker for comparison. For detecting concussion, 4 biomarker panels and creatine kinase B type had excellent discriminative ability. For detecting intracranial injury and the need for a head CT scan after mTBI, 2 biomarker panels, and hyperphosphorylated tau had excellent operating characteristics. For predicting delayed recovery after mTBI, top candidates included calpain-derived αII-spectrin N-terminal fragment, tau A, neurofilament light, and ghrelin. For predicting adverse outcome following sTBI, no biomarker had excellent performance, but several had good performance, including markers of coagulation and inflammation, structural proteins in the brain, and proteins involved in homeostasis. The highest-performing biomarkers in each of these categories may provide insight into the pathophysiologies underlying mild and severe TBI. With further study, these biomarkers have the potential to be used alongside clinical and radiological data to improve TBI diagnostics, prognostics, and evidence-based medical management.
format Online
Article
Text
id pubmed-6498532
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-64985322019-05-17 Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy Gan, Zoe S. Stein, Sherman C. Swanson, Randel Guan, Shaobo Garcia, Lizette Mehta, Devanshi Smith, Douglas H. Front Neurol Neurology Blood biomarkers have been explored for their potential to provide objective measures in the assessment of traumatic brain injury (TBI). However, it is not clear which biomarkers are best for diagnosis and prognosis in different severities of TBI. Here, we compare existing studies on the discriminative abilities of serum biomarkers for four commonly studied clinical situations: detecting concussion, predicting intracranial damage after mild TBI (mTBI), predicting delayed recovery after mTBI, and predicting adverse outcome after severe TBI (sTBI). We conducted a literature search of publications on biomarkers in TBI published up until July 2018. Operating characteristics were pooled for each biomarker for comparison. For detecting concussion, 4 biomarker panels and creatine kinase B type had excellent discriminative ability. For detecting intracranial injury and the need for a head CT scan after mTBI, 2 biomarker panels, and hyperphosphorylated tau had excellent operating characteristics. For predicting delayed recovery after mTBI, top candidates included calpain-derived αII-spectrin N-terminal fragment, tau A, neurofilament light, and ghrelin. For predicting adverse outcome following sTBI, no biomarker had excellent performance, but several had good performance, including markers of coagulation and inflammation, structural proteins in the brain, and proteins involved in homeostasis. The highest-performing biomarkers in each of these categories may provide insight into the pathophysiologies underlying mild and severe TBI. With further study, these biomarkers have the potential to be used alongside clinical and radiological data to improve TBI diagnostics, prognostics, and evidence-based medical management. Frontiers Media S.A. 2019-04-26 /pmc/articles/PMC6498532/ /pubmed/31105646 http://dx.doi.org/10.3389/fneur.2019.00446 Text en Copyright © 2019 Gan, Stein, Swanson, Guan, Garcia, Mehta and Smith. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Gan, Zoe S.
Stein, Sherman C.
Swanson, Randel
Guan, Shaobo
Garcia, Lizette
Mehta, Devanshi
Smith, Douglas H.
Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title_full Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title_fullStr Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title_full_unstemmed Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title_short Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy
title_sort blood biomarkers for traumatic brain injury: a quantitative assessment of diagnostic and prognostic accuracy
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498532/
https://www.ncbi.nlm.nih.gov/pubmed/31105646
http://dx.doi.org/10.3389/fneur.2019.00446
work_keys_str_mv AT ganzoes bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT steinshermanc bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT swansonrandel bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT guanshaobo bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT garcializette bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT mehtadevanshi bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy
AT smithdouglash bloodbiomarkersfortraumaticbraininjuryaquantitativeassessmentofdiagnosticandprognosticaccuracy