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Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury

Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied i...

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Autores principales: Lagerstedt, Linnéa, Egea-Guerrero, Juan José, Bustamante, Alejandro, Rodríguez-Rodríguez, Ana, El Rahal, Amir, Quintana-Diaz, Manuel, García-Armengol, Roser, Prica, Carmen Melinda, Andereggen, Elisabeth, Rinaldi, Lara, Sarrafzadeh, Asita, Schaller, Karl, Montaner, Joan, Sanchez, Jean-Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037378/
https://www.ncbi.nlm.nih.gov/pubmed/29985933
http://dx.doi.org/10.1371/journal.pone.0200394
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author Lagerstedt, Linnéa
Egea-Guerrero, Juan José
Bustamante, Alejandro
Rodríguez-Rodríguez, Ana
El Rahal, Amir
Quintana-Diaz, Manuel
García-Armengol, Roser
Prica, Carmen Melinda
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Montaner, Joan
Sanchez, Jean-Charles
author_facet Lagerstedt, Linnéa
Egea-Guerrero, Juan José
Bustamante, Alejandro
Rodríguez-Rodríguez, Ana
El Rahal, Amir
Quintana-Diaz, Manuel
García-Armengol, Roser
Prica, Carmen Melinda
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Montaner, Joan
Sanchez, Jean-Charles
author_sort Lagerstedt, Linnéa
collection PubMed
description Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied in mTBI patients, but to date, none seems to perform well enough. In many different diseases, combining several biomarkers into panels has become increasingly interesting for diagnoses and to enhance classification performance. The present study evaluated 13 proteins individually—H-FABP, MMP-1, MMP-3, MMP-9, VCAM, ICAM, SAA, CRP, GSTP, NKDA, PRDX1, DJ-1 and IL-10—for their capacity to differentiate between patients with and without a brain lesion according to CT results. The best performing proteins were then compared and combined with the S100B and GFAP proteins into a CT-scan triage panel. Patients diagnosed with mTBI, with a Glasgow Coma Scale score of 15 and one additional clinical symptom were enrolled at three different European sites. A blood sample was collected at hospital admission, and a CT scan was performed. Patients were divided into two two-centre cohorts and further dichotomised into CT-positive and CT-negative groups for statistical analysis. Single markers and panels were evaluated using Cohort 1. Four proteins—H-FABP, IL-10, S100B and GFAP—showed significantly higher levels in CT-positive patients. The best-performing biomarker was H-FABP, with a specificity of 32% (95% CI 23–40) and sensitivity reaching 100%. The best-performing two-marker panel for Cohort 1, subsequently validated in Cohort 2, was a combination of H-FABP and GFAP, enhancing specificity to 46% (95% CI 36–55). When adding IL-10 to this panel, specificity reached 52% (95% CI 43–61) with 100% sensitivity. These results showed that proteins combined into panels could be used to efficiently classify CT-positive and CT-negative mTBI patients.
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spelling pubmed-60373782018-07-19 Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury Lagerstedt, Linnéa Egea-Guerrero, Juan José Bustamante, Alejandro Rodríguez-Rodríguez, Ana El Rahal, Amir Quintana-Diaz, Manuel García-Armengol, Roser Prica, Carmen Melinda Andereggen, Elisabeth Rinaldi, Lara Sarrafzadeh, Asita Schaller, Karl Montaner, Joan Sanchez, Jean-Charles PLoS One Research Article Mild traumatic brain injury (mTBI) patients may have trauma-induced brain lesions detectable using CT scans. However, most patients will be CT-negative. There is thus a need for an additional tool to detect patients at risk. Single blood biomarkers, such as S100B and GFAP, have been widely studied in mTBI patients, but to date, none seems to perform well enough. In many different diseases, combining several biomarkers into panels has become increasingly interesting for diagnoses and to enhance classification performance. The present study evaluated 13 proteins individually—H-FABP, MMP-1, MMP-3, MMP-9, VCAM, ICAM, SAA, CRP, GSTP, NKDA, PRDX1, DJ-1 and IL-10—for their capacity to differentiate between patients with and without a brain lesion according to CT results. The best performing proteins were then compared and combined with the S100B and GFAP proteins into a CT-scan triage panel. Patients diagnosed with mTBI, with a Glasgow Coma Scale score of 15 and one additional clinical symptom were enrolled at three different European sites. A blood sample was collected at hospital admission, and a CT scan was performed. Patients were divided into two two-centre cohorts and further dichotomised into CT-positive and CT-negative groups for statistical analysis. Single markers and panels were evaluated using Cohort 1. Four proteins—H-FABP, IL-10, S100B and GFAP—showed significantly higher levels in CT-positive patients. The best-performing biomarker was H-FABP, with a specificity of 32% (95% CI 23–40) and sensitivity reaching 100%. The best-performing two-marker panel for Cohort 1, subsequently validated in Cohort 2, was a combination of H-FABP and GFAP, enhancing specificity to 46% (95% CI 36–55). When adding IL-10 to this panel, specificity reached 52% (95% CI 43–61) with 100% sensitivity. These results showed that proteins combined into panels could be used to efficiently classify CT-positive and CT-negative mTBI patients. Public Library of Science 2018-07-09 /pmc/articles/PMC6037378/ /pubmed/29985933 http://dx.doi.org/10.1371/journal.pone.0200394 Text en © 2018 Lagerstedt et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lagerstedt, Linnéa
Egea-Guerrero, Juan José
Bustamante, Alejandro
Rodríguez-Rodríguez, Ana
El Rahal, Amir
Quintana-Diaz, Manuel
García-Armengol, Roser
Prica, Carmen Melinda
Andereggen, Elisabeth
Rinaldi, Lara
Sarrafzadeh, Asita
Schaller, Karl
Montaner, Joan
Sanchez, Jean-Charles
Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title_full Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title_fullStr Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title_full_unstemmed Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title_short Combining H-FABP and GFAP increases the capacity to differentiate between CT-positive and CT-negative patients with mild traumatic brain injury
title_sort combining h-fabp and gfap increases the capacity to differentiate between ct-positive and ct-negative patients with mild traumatic brain injury
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037378/
https://www.ncbi.nlm.nih.gov/pubmed/29985933
http://dx.doi.org/10.1371/journal.pone.0200394
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