Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study.
Aged
Aged, 80 and over
Area Under Curve
Biomarkers
/ blood
Brain Injuries, Traumatic
/ blood
Female
Glial Fibrillary Acidic Protein
/ blood
Humans
Male
Neurofilament Proteins
/ blood
Patient Admission
Patient Care Planning
Prospective Studies
ROC Curve
S100 Calcium Binding Protein beta Subunit
/ blood
Severity of Illness Index
Tomography, X-Ray Computed
/ methods
Ubiquitin Thiolesterase
/ blood
tau Proteins
/ blood
Biomarkers
Clinical decision rule
Computerized tomography
Diagnostic
GFAP
Injury severity
Serum
Traumatic brain injury
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
19
02
2020
revised:
28
03
2020
accepted:
22
04
2020
pubmed:
29
5
2020
medline:
13
4
2021
entrez:
29
5
2020
Statut:
ppublish
Résumé
Serum biomarkers may inform and improve care in traumatic brain injury (TBI). We aimed to correlate serum biomarkers with clinical severity, care path and imaging abnormalities in TBI, and explore their incremental value over clinical characteristics in predicting computed tomographic (CT) abnormalities. We analyzed six serum biomarkers (S100B, NSE, GFAP, UCH-L1, NFL and t-tau) obtained <24 h post-injury from 2867 patients with any severity of TBI in the Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) Core Study, a prospective, multicenter, cohort study. Univariable and multivariable logistic regression analyses were performed. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals. All biomarkers scaled with clinical severity and care path (ER only, ward admission, or ICU), and with presence of CT abnormalities. GFAP achieved the highest discrimination for predicting CT abnormalities (AUC 0•89 [95%CI: 0•87-0•90]), with a 99% likelihood of better discriminating CT-positive patients than clinical characteristics used in contemporary decision rules. In patients with mild TBI, GFAP also showed incremental diagnostic value: discrimination increased from 0•84 [95%CI: 0•83-0•86] to 0•89 [95%CI: 0•87-0•90] when GFAP was included. Results were consistent across strata, and injury severity. Combinations of biomarkers did not improve discrimination compared to GFAP alone. Currently available biomarkers reflect injury severity, and serum GFAP, measured within 24 h after injury, outperforms clinical characteristics in predicting CT abnormalities. Our results support the further development of serum GFAP assays towards implementation in clinical practice, for which robust clinical assay platforms are required. CENTER-TBI study was supported by the European Union 7th Framework program (EC grant 602150).
Sections du résumé
BACKGROUND
BACKGROUND
Serum biomarkers may inform and improve care in traumatic brain injury (TBI). We aimed to correlate serum biomarkers with clinical severity, care path and imaging abnormalities in TBI, and explore their incremental value over clinical characteristics in predicting computed tomographic (CT) abnormalities.
METHODS
METHODS
We analyzed six serum biomarkers (S100B, NSE, GFAP, UCH-L1, NFL and t-tau) obtained <24 h post-injury from 2867 patients with any severity of TBI in the Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) Core Study, a prospective, multicenter, cohort study. Univariable and multivariable logistic regression analyses were performed. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals.
FINDINGS
RESULTS
All biomarkers scaled with clinical severity and care path (ER only, ward admission, or ICU), and with presence of CT abnormalities. GFAP achieved the highest discrimination for predicting CT abnormalities (AUC 0•89 [95%CI: 0•87-0•90]), with a 99% likelihood of better discriminating CT-positive patients than clinical characteristics used in contemporary decision rules. In patients with mild TBI, GFAP also showed incremental diagnostic value: discrimination increased from 0•84 [95%CI: 0•83-0•86] to 0•89 [95%CI: 0•87-0•90] when GFAP was included. Results were consistent across strata, and injury severity. Combinations of biomarkers did not improve discrimination compared to GFAP alone.
INTERPRETATION
CONCLUSIONS
Currently available biomarkers reflect injury severity, and serum GFAP, measured within 24 h after injury, outperforms clinical characteristics in predicting CT abnormalities. Our results support the further development of serum GFAP assays towards implementation in clinical practice, for which robust clinical assay platforms are required.
FUNDING
BACKGROUND
CENTER-TBI study was supported by the European Union 7th Framework program (EC grant 602150).
Identifiants
pubmed: 32464528
pii: S2352-3964(20)30160-2
doi: 10.1016/j.ebiom.2020.102785
pmc: PMC7251365
pii:
doi:
Substances chimiques
Biomarkers
0
GFAP protein, human
0
Glial Fibrillary Acidic Protein
0
MAPT protein, human
0
Neurofilament Proteins
0
S100 Calcium Binding Protein beta Subunit
0
S100B protein, human
0
UCHL1 protein, human
0
neurofilament protein L
0
tau Proteins
0
Ubiquitin Thiolesterase
EC 3.4.19.12
Types de publication
Clinical Trial
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
102785Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All authors declare support to the CENTER-TBI project by funding bodies and other organizations as listed in the acknowledgement section. DKM reports grants from National Institute for Health Research (NIHR; UK), during the conduct of the study; grants, personal fees and non-financial support from GlaxoSmithKline, personal fees from Neurotrauma Sciences, personal fees from Lantmaanen AB, personal fees from Pressura, personal fees from Pfizer, outside the submitted work. AIRM declares consulting fees from PresSura Neuro, Integra Life Sciences and NeuroTrauma Sciences. EC, KA and AB report grants Higher Education Institutional Excellence Programme – Grant No. 20765-3/2018/FEKUTSTRAT, FIKP II/S, EFOP-3.6.2.-16-2017-00008, GINOP-2.3.2-15-2016-00048, and GINOP-2.3.3-15-2016-00032 and the Hungarian Brain Research Program 2.0 Grant No. 2017-1.2.1-NKP-2017-00002. KKWW is co-founder and shareholder of Gryphon Bio. and was co-founder and shareholder of Banyan Biomarkers. VFJN is supported by an Academy of Medical Sciences/The Health Foundation Clinician Scientist Fellowship. SR reports funding from the Wellcome Trust for a Clinician Ph.D. Fellowship. BYG, FL, SM, EWS, JV, THvdV, HX, and ZY declare no competing interests.
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