Austin Health

Title
Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators.
Publication Date
2022-06-02
Author(s)
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
Subject
Brain injury markers
Cardiac arrest
GFAP, S100
NFL
NSE
Neurofilament light
Neuron specific enolase
Prognostication, outcome, biomarkers
Protocol
Total-tau, glial fibrially acidic protein
Type of document
Journal Article
OrcId
0000-0001-7700-9933
DOI
10.1016/j.resplu.2022.100258
Abstract
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. 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. 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. 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.
Link
Citation
Resuscitation plus 2022; 10: 100258
Jornal Title
Resuscitation plus

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