Development and validation of a dynamic online nomogram for predicting acute kidney injury in cirrhotic patients upon ICU admission.

Feng, Lu-Huai; Lu, Yang; Ren, Shuang; Liang, Hengkai; Wei, Lu; Jiang, Jianning

Feng, Lu-Huai; Lu, Yang; Ren, Shuang; Liang, Hengkai; Wei, Lu; Jiang, Jianning.

Afiliación

Feng LH; Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lu Y; Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ren S; Department of Comprehensive Internal Medicine, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
Liang H; Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wei L; Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jiang J; Department of Infectious Diseases, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Front Med (Lausanne) ; 10: 1055137, 2023.

Article en En | MEDLINE | ID: mdl-36778740

Palabras clave

acute kidney injury; dynamic online nomogram; intensive care unit; model; prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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