1. Protein S100 as outcome predictor after out-of-hospital cardiac arrest and targeted temperature management at 33 °C and 36 °C
- Author
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Pascal Stammet, Josef Dankiewicz, Niklas Nielsen, François Fays, Olivier Collignon, Christian Hassager, Michael Wanscher, Johan Undèn, Jorn Wetterslev, Tommaso Pellis, Anders Aneman, Jan Hovdenes, Matt P. Wise, Georges Gilson, David Erlinge, Janneke Horn, Tobias Cronberg, Michael Kuiper, Jesper Kjaergaard, Yvan Gasche, Yvan Devaux, Hans Friberg, and Target Temperature Management after Out-of-Hospital Cardiac Arrest (TTM) trial investigators
- Subjects
Biomarker ,S100 ,Prognosis ,Neuroprognostication ,Cerebral performance ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background We aimed to investigate the diagnostic performance of S100 as an outcome predictor after out-of-hospital cardiac arrest (OHCA) and the potential influence of two target temperatures (33 °C and 36 °C) on serum levels of S100. Methods This is a substudy of the Target Temperature Management after Out-of-Hospital Cardiac Arrest (TTM) trial. Serum levels of S100 were measured a posteriori in a core laboratory in samples collected at 24, 48, and 72 h after OHCA. Outcome at 6 months was assessed using the Cerebral Performance Categories Scale (CPC 1–2 = good outcome, CPC 3–5 = poor outcome). Results We included 687 patients from 29 sites in Europe. Median S100 values were higher in patients with a poor outcome at 24, 48, and 72 h: 0.19 (IQR 0.10–0.49) versus 0.08 (IQR 0.06–0.11) μg/ml, 0.16 (IQR 0.10–0.44) versus 0.07 (IQR 0.06–0.11) μg/L, and 0.13 (IQR 0.08–0.26) versus 0.06 (IQR 0.05–0.09) μg/L (p
- Published
- 2017
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