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Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators
BACKGROUND: Several biochemical markers in blood correlate with the magnitude of brain injury and may be used to predict neurological outcome after cardiac arrest. We present a protocol for the evaluation of prognostic accuracy of brain injury markers after cardiac arrest. The aim is to define the b...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168690/ https://www.ncbi.nlm.nih.gov/pubmed/35677835 http://dx.doi.org/10.1016/j.resplu.2022.100258 |
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author | Moseby-Knappe, Marion Levin, Helena Blennow, Kaj Ullén, Susann Zetterberg, Henrik Lilja, Gisela Dankiewicz, Josef Jakobsen, Janus Christian Lagebrant, Alice Friberg, Hans Nichol, Alistair Ainschough, Kate Eastwood, Glenn M. Wise, Matt P. Thomas, Matthew Keeble, Thomas Cariou, Alain Leithner, Christoph Rylander, Christian Düring, Joachim Bělohlávek, Jan Grejs, Anders Borgquist, Ola Undén, Johan Simon, Maryline Rolny, Vinzent Piehler, Alex Cronberg, Tobias Nielsen, Niklas |
author_facet | Moseby-Knappe, Marion Levin, Helena Blennow, Kaj Ullén, Susann Zetterberg, Henrik Lilja, Gisela Dankiewicz, Josef Jakobsen, Janus Christian Lagebrant, Alice Friberg, Hans Nichol, Alistair Ainschough, Kate Eastwood, Glenn M. Wise, Matt P. Thomas, Matthew Keeble, Thomas Cariou, Alain Leithner, Christoph Rylander, Christian Düring, Joachim Bělohlávek, Jan Grejs, Anders Borgquist, Ola Undén, Johan Simon, Maryline Rolny, Vinzent Piehler, Alex Cronberg, Tobias Nielsen, Niklas |
author_sort | Moseby-Knappe, Marion |
collection | PubMed |
description | BACKGROUND: Several biochemical markers in blood correlate with the magnitude of brain injury and may be used to predict neurological outcome after cardiac arrest. We present a protocol for the evaluation of prognostic accuracy of brain injury markers after cardiac arrest. The aim is to define the best predictive marker and to establish clinically useful cut-off levels for routine implementation. METHODS: Prospective international multicenter trial within the Targeted Hypothermia versus Targeted Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial in collaboration with Roche Diagnostics International AG. Samples were collected 0, 24, 48, and 72 hours after randomisation (serum) and 0 and 48 hours after randomisation (plasma), and pre-analytically processed at each site before storage in a central biobank. Routine markers neuron-specific enolase (NSE) and S100B, and neurofilament light, total-tau and glial fibrillary acidic protein will be batch analysed using novel Elecsys® electrochemiluminescence immunoassays on a Cobas e601 instrument. RESULTS: Statistical analysis will be reported according to the Standards for Reporting Diagnostic accuracy studies (STARD) and will include comparisons for prediction of good versus poor functional outcome at six months post-arrest, by modified Rankin Scale (0–3 vs. 4–6), using logistic regression models and receiver operating characteristics curves, evaluation of mortality at six months according to biomarker levels and establishment of cut-off values for prediction of poor neurological outcome at 95–100% specificities. CONCLUSIONS: This prospective trial may establish a standard methodology and clinically appropriate cut-off levels for the optimal biomarker of brain injury which predicts poor neurological outcome after cardiac arrest. |
format | Online Article Text |
id | pubmed-9168690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91686902022-06-07 Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators Moseby-Knappe, Marion Levin, Helena Blennow, Kaj Ullén, Susann Zetterberg, Henrik Lilja, Gisela Dankiewicz, Josef Jakobsen, Janus Christian Lagebrant, Alice Friberg, Hans Nichol, Alistair Ainschough, Kate Eastwood, Glenn M. Wise, Matt P. Thomas, Matthew Keeble, Thomas Cariou, Alain Leithner, Christoph Rylander, Christian Düring, Joachim Bělohlávek, Jan Grejs, Anders Borgquist, Ola Undén, Johan Simon, Maryline Rolny, Vinzent Piehler, Alex Cronberg, Tobias Nielsen, Niklas Resusc Plus Clinical Paper BACKGROUND: Several biochemical markers in blood correlate with the magnitude of brain injury and may be used to predict neurological outcome after cardiac arrest. We present a protocol for the evaluation of prognostic accuracy of brain injury markers after cardiac arrest. The aim is to define the best predictive marker and to establish clinically useful cut-off levels for routine implementation. METHODS: Prospective international multicenter trial within the Targeted Hypothermia versus Targeted Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial in collaboration with Roche Diagnostics International AG. Samples were collected 0, 24, 48, and 72 hours after randomisation (serum) and 0 and 48 hours after randomisation (plasma), and pre-analytically processed at each site before storage in a central biobank. Routine markers neuron-specific enolase (NSE) and S100B, and neurofilament light, total-tau and glial fibrillary acidic protein will be batch analysed using novel Elecsys® electrochemiluminescence immunoassays on a Cobas e601 instrument. RESULTS: Statistical analysis will be reported according to the Standards for Reporting Diagnostic accuracy studies (STARD) and will include comparisons for prediction of good versus poor functional outcome at six months post-arrest, by modified Rankin Scale (0–3 vs. 4–6), using logistic regression models and receiver operating characteristics curves, evaluation of mortality at six months according to biomarker levels and establishment of cut-off values for prediction of poor neurological outcome at 95–100% specificities. CONCLUSIONS: This prospective trial may establish a standard methodology and clinically appropriate cut-off levels for the optimal biomarker of brain injury which predicts poor neurological outcome after cardiac arrest. Elsevier 2022-06-02 /pmc/articles/PMC9168690/ /pubmed/35677835 http://dx.doi.org/10.1016/j.resplu.2022.100258 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Clinical Paper Moseby-Knappe, Marion Levin, Helena Blennow, Kaj Ullén, Susann Zetterberg, Henrik Lilja, Gisela Dankiewicz, Josef Jakobsen, Janus Christian Lagebrant, Alice Friberg, Hans Nichol, Alistair Ainschough, Kate Eastwood, Glenn M. Wise, Matt P. Thomas, Matthew Keeble, Thomas Cariou, Alain Leithner, Christoph Rylander, Christian Düring, Joachim Bělohlávek, Jan Grejs, Anders Borgquist, Ola Undén, Johan Simon, Maryline Rolny, Vinzent Piehler, Alex Cronberg, Tobias Nielsen, Niklas Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title | Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title_full | Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title_fullStr | Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title_full_unstemmed | Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title_short | Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators |
title_sort | biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the ttm2 trial biobank investigators |
topic | Clinical Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168690/ https://www.ncbi.nlm.nih.gov/pubmed/35677835 http://dx.doi.org/10.1016/j.resplu.2022.100258 |
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