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Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock-a two-centre randomised clinical trial.
Roggeveen, Luca F; Guo, Tingjie; Fleuren, Lucas M; Driessen, Ronald; Thoral, Patrick; van Hest, Reinier M; Mathot, Ron A A; Swart, Eleonora L; de Grooth, Harm-Jan; van den Bogaard, Bas; Girbes, Armand R J; Bosman, Rob J; Elbers, Paul W G.
Afiliação
  • Roggeveen LF; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • Guo T; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • Fleuren LM; Department of Pharmacy and Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Driessen R; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands.
  • Thoral P; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • van Hest RM; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • Mathot RAA; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • Swart EL; Department of Pharmacy and Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • de Grooth HJ; Department of Pharmacy and Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • van den Bogaard B; Department of Pharmacy and Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Girbes ARJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
  • Bosman RJ; Department of Intensive Care, OLVG Hospital, Amsterdam, The Netherlands.
  • Elbers PWG; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AI&II), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherl
Crit Care ; 26(1): 265, 2022 09 05.
Article em En | MEDLINE | ID: mdl-36064438
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Choque Séptico / Sepse / COVID-19 Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Crit Care Ano de publicação: 2022 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: Choque Séptico / Sepse / COVID-19 Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Crit Care Ano de publicação: 2022 Tipo de documento: Article