Cargando…
Predicting the clinical trajectory in critically ill patients with sepsis: a cohort study
BACKGROUND: To develop a mathematical model to estimate daily evolution of disease severity using routinely available parameters in patients admitted to the intensive care unit (ICU). METHODS: Over a 3-year period, we prospectively enrolled consecutive adults with sepsis and categorized patients as...
Autores principales: | Klein Klouwenberg, Peter M. C., Spitoni, Cristian, van der Poll, Tom, Bonten, Marc J., Cremer, Olaf L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909511/ https://www.ncbi.nlm.nih.gov/pubmed/31831072 http://dx.doi.org/10.1186/s13054-019-2687-z |
Ejemplares similares
-
Correction to: Predicting the clinical trajectory in critically ill patients with sepsis: a cohort study
por: Klein Klouwenberg, Peter M. C., et al.
Publicado: (2020) -
Nebulised amphotericin B to eradicate Candida colonisation from the respiratory tract in critically ill patients receiving selective digestive decontamination: a cohort study
por: Ong, David SY, et al.
Publicado: (2013) -
Robustness of sepsis-3 criteria in critically ill patients
por: Verboom, Diana M., et al.
Publicado: (2019) -
The attributable mortality of delirium in critically ill patients: prospective cohort study
por: Klein Klouwenberg, Peter M C, et al.
Publicado: (2014) -
Association of diabetes and diabetes treatment with the host response in critically ill sepsis patients
por: van Vught, Lonneke A., et al.
Publicado: (2016)