KDIGO-based acute kidney injury criteria operate differently in hospitals and the community—findings from a large population cohort

BACKGROUND: Early recognition of acute kidney injury (AKI) is important. It frequently develops first in the community. KDIGO-based AKI e-alert criteria may help clinicians recognize AKI in hospitals, but their suitability for application in the community is unknown. METHODS: In a large renal cohort...

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Detalles Bibliográficos
Autores principales: Sawhney, Simon, Fluck, Nick, Fraser, Simon D., Marks, Angharad, Prescott, Gordon J., Roderick, Paul J., Black, Corri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
CLINICAL SCIENCE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876971/
https://www.ncbi.nlm.nih.gov/pubmed/27190340
http://dx.doi.org/10.1093/ndt/gfw052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876971/
https://www.ncbi.nlm.nih.gov/pubmed/27190340
http://dx.doi.org/10.1093/ndt/gfw052

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