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Blood biomarkers for the prediction of outcome after cardiac arrest: an international prospective observational study within the Targeted Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial

Marion Moseby‐Knappe, Helena Levin, Susann Ullén, Henrik Zetterberg, Kaj Blennow, Alice Lagebrant, Josef Dankiewicz, Janus Christian Jakobsen, Gisela Lilja, Alistair Nichol, Glenn M. Eastwood, Kate Ainscough, Matthew Thomas, Anders Morten Grejs, Thomas Keeble, Christian Rylander, Joachim Düring, Matt P. Wise, Jan Hovdenes, Christian Storm, Ola Borgquist, Alain Cariou, Nicolas Deye, Jean-Baptiste Lascarrou, Jonathan Bannard‐Smith, Johan Undén, Philippe Vignon, Stéphane Legriel, Ondřej Šmíd, David Pogson, Jiří Karásek, Peter J. McGuigan, Michael Joannidis, Hans Kirkegaard, Jeremy Bewley, Steffen Christensen, Maria Maccaroni, Anna Valeriánová, Andreas Lundin, Anna Lybeck, Christoph Leithner, Filip Varhaník, Katie Sweet, Andrew Walden, Hans Friberg, Tobias Cronberg, Niklas Nielsen, Jan Belohlávek, Ronny Beer, Frank Hartig, Raimund Helbok, Sebastian Klein, Andreas Peer, Michal Otáhal, Marek Flaksa, David Kemlink, Jan Malík, Jan Rulíšek, Michal Šíranec, Zdenek Stach, Petra Zavadilova, Anne Adolfsson, Anna Bjärnroos, Kajsa Jönsson, Susann Schrey, Erik Westhall, Frida Antonsson, Git Bergman, Jörgen Gamroth, Maria Meirik, Zoe Garland, Lisa Grimmer, Bethany Gumbrill, Lucy Howie, Zoe Garland, Rebekah Johnson, Chloe Searles, Agnieszka Skorko, Victoria Taylor, Deborah Peripoorani, Peter Juhl-Olsen, Ida Katrine Thomsen, Lisa Gregersen Østergaard, Julien Charpentier, Pierre Dupland, Arianne Gavaud, Pierre Jaubert, Mathieu Jozwiak, Nathalie Marin, Jean-Paul Mira, Frederic Pene, Guillaume Savary, Bruno Megarbane, Pierre Mora, Katarina Rudolfsson, Helena Sandberg, Martin Thorsson, Kristin Savolainen, Maria Hansbo, Malin Helliksson

2025The Lancet Respiratory Medicine7 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Prognostication of recovery in patients who are unconscious following cardiac arrest can be guided by concentrations of brain injury biomarkers in the blood. The optimal biomarker and cutoff concentrations for the prediction of outcome remain unknown. In this study, we aimed to evaluate which biomarker of brain injury is most accurate for predicting functional outcome after cardiac arrest, and to evaluate cutoff levels for the prediction of good and poor outcome. METHODS: This study was a prospective, international, observational biomarker study within the international Targeted Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial including adults aged 18 years or older with a presumed cardiac cause or unknown cause of arrest. Patients were recruited from 24 European hospitals. Serum samples were collected at 0, 24, 48, and 72 h after admission to intensive care units. Concentrations of neuron-specific enolase, S100, neurofilament light, and glial fibrillary acidic protein were analysed with Elecsys electrochemiluminescence immunoassays. The primary outcome was 6-month good (modified Rankin Scale 0-3) or poor (modified Rankin Scale 4-6) functional outcome. Prognostic accuracy was evaluated by the area under the receiver operating characteristic curve (AUROC). The biomarker with the highest AUROC at each timepoint was compared with that of the second highest marker using DeLong's test. As pre-specified, to account for multiple comparisons using Bonferroni correction, a p value of less than 0·0125 was considered statistically significant. FINDINGS: Between April, 2018, and January, 2020, 113 (12%) of 932 eligible patients were excluded due to death, missed sampling, or missing outcome data. 661 (81%) of 819 included patients were male and 158 (19%) were female, the mean age was 64 years (SD 13), and 418 (51%) had a poor outcome. In patients who were unconscious, neurofilament light predicted functional outcome with AUROCs at 0, 24, 48, and 72 h of 0·77 (95% CI 0·73-0·80), 0·92 (0·90-0·94), 0·93 (0·91-0·95), and 0·93 (0·91-0·95), respectively. Glial fibrillary acidic protein achieved an AUROC of 0·74 (95% CI 0·70-0·77) at 0 h, 0·87 (0·84-0·90) at 24 h, 0·87 (0·84-0·90) at 48 h, and 0·87 (0·84-0·91) at 72 h. Neuron-specific enolase predicted functional outcome with an AUROC of 0·61 (95% CI 0·56-0·65) at 0 h, 0·78 (0·75-0·82) at 24 h, 0·85 (0·81-0·88) at 48 h, and 0·86 (0·82-0·89) at 72 h. S100 achieved an AUROC of 0·74 (95% CI 0·71-0·78) at 0 h, 0·84 (0·81-0·87) at 24 h, 0·79 (0·75-0·82) at 48 h, and 0·78 (0·74-0·82) at 72 h. Neurofilament light had a statistically significantly higher AUROC than the second highest marker, glial fibrillary acidic protein, at 24, 48, and 72 h (p<0·0001), but not at 0 h (p=0·27). INTERPRETATION: Neurofilament light is a highly accurate predictor of long-term outcome after cardiac arrest and superior to other relevant biomarkers evaluated in this study. FUNDING: The Swedish Research Council (Vetenskapsrådet), the Swedish Heart-Lung Foundation, the Stig and Ragna Gorthon Foundation, the Knutsson Foundation, the Laerdal Foundation, the Hans-Gabriel and Alice Trolle-Wachtmeister Foundation for Medical Research, the Bundy Academy at Lund University, Regional Research Support in Skåne, the Swedish Government, and Roche Diagnostics International.

Topics & Concepts

MedicineObservational studyHypothermiaEmergency medicineIntensive care medicineProspective cohort studyOutcome (game theory)MEDLINECardiopulmonary resuscitationFoundation (evidence)Multicenter studyResuscitationClinical trialMedical emergencyUniversity hospitalCardiac Arrest and ResuscitationThermal Regulation in MedicineSepsis Diagnosis and Treatment
Blood biomarkers for the prediction of outcome after cardiac arrest: an international prospective observational study within the Targeted Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial | Litcius