Your browser doesn't support javascript.
loading
Use of Biomarkers to Identify Acute Kidney Injury to Help Detect Sepsis in Patients With Infection.
Kellum, John A; Artigas, Antonio; Gunnerson, Kyle J; Honore, Patrick M; Kampf, J Patrick; Kwan, Thomas; McPherson, Paul; Nguyen, H Bryant; Rimmelé, Thomas; Shapiro, Nathan I; Shi, Jing; Vincent, Jean-Louis; Chawla, Lakhmir S.
Afiliação
  • Kellum JA; Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
  • Artigas A; Critical Care Center, Corporacion Sanitaria Parc Tauli, CIBER Enfermedades Respiratorias, Autonomous University of Barcelona, Sabadell, Spain.
  • Gunnerson KJ; Departments of Emergency Medicine/Critical Care, Anesthesiology, Internal Medicine, Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI.
  • Honore PM; Department of Intensive Care Medicine, Brugmann University Hospital, Brussels, Belgium.
  • Kampf JP; Astute Medical, Inc. (a bioMérieux company), San Diego, CA.
  • Kwan T; Astute Medical, Inc. (a bioMérieux company), San Diego, CA.
  • McPherson P; Astute Medical, Inc. (a bioMérieux company), San Diego, CA.
  • Nguyen HB; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Loma Linda University, Loma Linda, CA.
  • Rimmelé T; Department of Anesthesiology and Critical Care Medicine, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.
  • Shapiro NI; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
  • Shi J; Walker BioSciences, Carlsbad, CA.
  • Vincent JL; Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium.
  • Chawla LS; Department of Medicine, Veterans Affairs Medical Center, San Diego, CA.
Crit Care Med ; 49(4): e360-e368, 2021 04 01.
Article em En | MEDLINE | ID: mdl-33566467
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Sepse / Injúria Renal Aguda / Infecções Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Sepse / Injúria Renal Aguda / Infecções Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article