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Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury.
Neyra, Javier A; Ortiz-Soriano, Victor; Liu, Lucas J; Smith, Taylor D; Li, Xilong; Xie, Donglu; Adams-Huet, Beverley; Moe, Orson W; Toto, Robert D; Chen, Jin.
Afiliação
  • Neyra JA; Department of Internal Medicine, Division of Nephrology, Bone and Mineral Metabolism, University of Kentucky, Lexington, KY; Charles and Jane Park Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX; Department of Internal Medicine, Divisi
  • Ortiz-Soriano V; Department of Internal Medicine, Division of Nephrology, Bone and Mineral Metabolism, University of Kentucky, Lexington, KY.
  • Liu LJ; Department of Internal Medicine, Division of Biomedical Informatics, University of Kentucky, Lexington, KY; Department of Computer Science, University of Kentucky, Lexington, KY.
  • Smith TD; Department of Internal Medicine, Division of Biomedical Informatics, University of Kentucky, Lexington, KY; Department of Computer Science, University of Kentucky, Lexington, KY.
  • Li X; Charles and Jane Park Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX.
  • Xie D; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
  • Adams-Huet B; Charles and Jane Park Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
  • Moe OW; Charles and Jane Park Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX; Department of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX.
  • Toto RD; Charles and Jane Park Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Department of Internal Medicine, Division of Nephrology, Un
  • Chen J; Department of Internal Medicine, Division of Biomedical Informatics, University of Kentucky, Lexington, KY; Department of Computer Science, University of Kentucky, Lexington, KY.
Am J Kidney Dis ; 81(1): 36-47, 2023 01.
Article em En | MEDLINE | ID: mdl-35868537
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Terminal / Injúria Renal Aguda Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Terminal / Injúria Renal Aguda Idioma: En Ano de publicação: 2023 Tipo de documento: Article