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Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study
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 (C...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251365/ https://www.ncbi.nlm.nih.gov/pubmed/32464528 http://dx.doi.org/10.1016/j.ebiom.2020.102785 |
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author | Czeiter, Endre Amrein, Krisztina Gravesteijn, Benjamin Y. Lecky, Fiona Menon, David K. Mondello, Stefania Newcombe, Virginia F.J. Richter, Sophie Steyerberg, Ewout W. Vyvere, Thijs Vande Verheyden, Jan Xu, Haiyan Yang, Zhihui Maas, Andrew I.R. Wang, Kevin K.W. Büki, András |
author_facet | Czeiter, Endre Amrein, Krisztina Gravesteijn, Benjamin Y. Lecky, Fiona Menon, David K. Mondello, Stefania Newcombe, Virginia F.J. Richter, Sophie Steyerberg, Ewout W. Vyvere, Thijs Vande Verheyden, Jan Xu, Haiyan Yang, Zhihui Maas, Andrew I.R. Wang, Kevin K.W. Büki, András |
author_sort | Czeiter, Endre |
collection | PubMed |
description | 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: 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: 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: 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: CENTER-TBI study was supported by the European Union 7th Framework program (EC grant 602150). |
format | Online Article Text |
id | pubmed-7251365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72513652020-05-29 Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study Czeiter, Endre Amrein, Krisztina Gravesteijn, Benjamin Y. Lecky, Fiona Menon, David K. Mondello, Stefania Newcombe, Virginia F.J. Richter, Sophie Steyerberg, Ewout W. Vyvere, Thijs Vande Verheyden, Jan Xu, Haiyan Yang, Zhihui Maas, Andrew I.R. Wang, Kevin K.W. Büki, András EBioMedicine Research paper 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: 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: 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: 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: CENTER-TBI study was supported by the European Union 7th Framework program (EC grant 602150). Elsevier 2020-05-25 /pmc/articles/PMC7251365/ /pubmed/32464528 http://dx.doi.org/10.1016/j.ebiom.2020.102785 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Czeiter, Endre Amrein, Krisztina Gravesteijn, Benjamin Y. Lecky, Fiona Menon, David K. Mondello, Stefania Newcombe, Virginia F.J. Richter, Sophie Steyerberg, Ewout W. Vyvere, Thijs Vande Verheyden, Jan Xu, Haiyan Yang, Zhihui Maas, Andrew I.R. Wang, Kevin K.W. Büki, András Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title | Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title_full | Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title_fullStr | Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title_full_unstemmed | Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title_short | Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study |
title_sort | blood biomarkers on admission in acute traumatic brain injury: relations to severity, ct findings and care path in the center-tbi study |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251365/ https://www.ncbi.nlm.nih.gov/pubmed/32464528 http://dx.doi.org/10.1016/j.ebiom.2020.102785 |
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