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The role of infection models and PK/PD modelling for optimising care of critically ill patients with severe infections.
Tängdén, T; Ramos Martín, V; Felton, T W; Nielsen, E I; Marchand, S; Brüggemann, R J; Bulitta, J B; Bassetti, M; Theuretzbacher, U; Tsuji, B T; Wareham, D W; Friberg, L E; De Waele, J J; Tam, V H; Roberts, Jason A.
Afiliación
  • Tängdén T; Department of Medical Sciences, Section of Infectious Diseases, Uppsala University, Uppsala, Sweden.
  • Ramos Martín V; Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
  • Felton TW; Intensive Care Unit, University Hospital of South Manchester, Manchester, UK.
  • Nielsen EI; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
  • Marchand S; Inserm U1070, Pole Biologie Santé, Poitiers, France.
  • Brüggemann RJ; UFR Médecine-Pharmacie, Université de Poitiers, Poitiers, France.
  • Bulitta JB; Department of Pharmacy, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Bassetti M; Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, USA.
  • Theuretzbacher U; Infectious Diseases Division, Santa Maria della Misericordia University Hospital and University of Udine, Udine, Italy.
  • Tsuji BT; Center for Anti-Infective Agents, Vienna, Austria.
  • Wareham DW; School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, USA.
  • Friberg LE; Antimicrobial Research Group, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • De Waele JJ; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
  • Tam VH; Department of Critical Care Medicine, Ghent University Hospital, Ghent, Belgium.
  • Roberts JA; Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, USA.
Intensive Care Med ; 43(7): 1021-1032, 2017 Jul.
Article en En | MEDLINE | ID: mdl-28409203
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo de Drogas / Antibacterianos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Intensive Care Med Año: 2017 Tipo del documento: Article País de afiliación: Suecia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Monitoreo de Drogas / Antibacterianos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Intensive Care Med Año: 2017 Tipo del documento: Article País de afiliación: Suecia