Electronic health records accurately predict renal replacement therapy in acute kidney injury

BACKGROUND: Electronic health records (EHR) detect the onset of acute kidney injury (AKI) in hospitalized patients, and may identify those at highest risk of mortality and renal replacement therapy (RRT), for earlier targeted intervention. METHODS: Prospective observational study to derive predictio...

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Detalles Bibliográficos
Autores principales: Low, Sanmay, Vathsala, Anantharaman, Murali, Tanusya Murali, Pang, Long, MacLaren, Graeme, Ng, Wan-Ying, Haroon, Sabrina, Mukhopadhyay, Amartya, Lim, Shir-Lynn, Tan, Bee-Hong, Lau, Titus, Chua, Horng-Ruey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357378/
https://www.ncbi.nlm.nih.gov/pubmed/30704418
http://dx.doi.org/10.1186/s12882-019-1206-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357378/
https://www.ncbi.nlm.nih.gov/pubmed/30704418
http://dx.doi.org/10.1186/s12882-019-1206-4

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