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Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
BACKGROUND: Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative in...
Autores principales: | Andersson, Peder, Johnsson, Jesper, Björnsson, Ola, Cronberg, Tobias, Hassager, Christian, Zetterberg, Henrik, Stammet, Pascal, Undén, Johan, Kjaergaard, Jesper, Friberg, Hans, Blennow, Kaj, Lilja, Gisela, Wise, Matt P., Dankiewicz, Josef, Nielsen, Niklas, Frigyesi, Attila |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905905/ https://www.ncbi.nlm.nih.gov/pubmed/33632280 http://dx.doi.org/10.1186/s13054-021-03505-9 |
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