Cargando…
Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms
BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnostic model for differentiation of sepsis and non-infe...
Autores principales: | Lamping, Florian, Jack, Thomas, Rübsamen, Nicole, Sasse, Michael, Beerbaum, Philipp, Mikolajczyk, Rafael T., Boehne, Martin, Karch, André |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5853156/ https://www.ncbi.nlm.nih.gov/pubmed/29544449 http://dx.doi.org/10.1186/s12887-018-1082-2 |
Ejemplares similares
-
Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children
por: Wulff, Antje, et al.
Publicado: (2021) -
Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study
por: Böhnke, Julia, et al.
Publicado: (2022) -
In-line Filtration Decreases Systemic Inflammatory Response Syndrome, Renal and Hematologic Dysfunction in Pediatric Cardiac Intensive Care Patients
por: Sasse, Michael, et al.
Publicado: (2015) -
Continuous intra-gastral monitoring of intra-abdominal pressure in critically ill children: a validation study
por: Kaussen, T., et al.
Publicado: (2021) -
Inline filtration reduces the incidence of systemic inflammatory response syndrome in critically ill children
por: Jack, T, et al.
Publicado: (2009)