Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007–2015

Hospital length of stay (LOS) is an important clinical and economic outcome and knowing its predictors could lead to better planning of resources needed during hospitalization. This analysis sought to identify structure, patient, and nutrition-related predictors of LOS available at the time of admis...

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Detalles Bibliográficos
Autores principales: Kiss, Noemi, Hiesmayr, Michael, Sulz, Isabella, Bauer, Peter, Heinze, Georg, Mouhieddine, Mohamed, Schuh, Christian, Tarantino, Silvia, Simon, Judit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624242/
https://www.ncbi.nlm.nih.gov/pubmed/34836366
http://dx.doi.org/10.3390/nu13114111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624242/
https://www.ncbi.nlm.nih.gov/pubmed/34836366
http://dx.doi.org/10.3390/nu13114111

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