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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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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