Prospective evaluation of an automated method to identify patients with severe sepsis or septic shock in the emergency department

BACKGROUND: Sepsis is an often-fatal syndrome resulting from severe infection. Rapid identification and treatment are critical for septic patients. We therefore developed a probabilistic model to identify septic patients in the emergency department (ED). We aimed to produce a model that identifies 8...

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Detalles Bibliográficos
Autores principales: Brown, Samuel M., Jones, Jason, Kuttler, Kathryn Gibb, Keddington, Roger K., Allen, Todd L., Haug, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994262/
https://www.ncbi.nlm.nih.gov/pubmed/27549755
http://dx.doi.org/10.1186/s12873-016-0095-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994262/
https://www.ncbi.nlm.nih.gov/pubmed/27549755
http://dx.doi.org/10.1186/s12873-016-0095-0

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