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Mortality prediction models in the adult critically ill: A scoping review.
Keuning, Britt E; Kaufmann, Thomas; Wiersema, Renske; Granholm, Anders; Pettilä, Ville; Møller, Morten Hylander; Christiansen, Christian Fynbo; Castela Forte, José; Snieder, Harold; Keus, Frederik; Pleijhuis, Rick G; van der Horst, Iwan C C.
Afiliação
  • Keuning BE; Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Kaufmann T; Department of Anesthesiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Wiersema R; Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Granholm A; Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • Pettilä V; Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Møller MH; Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • Christiansen CF; Centre for Research in Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
  • Castela Forte J; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
  • Snieder H; Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Keus F; Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Groningen, The Netherlands.
  • Pleijhuis RG; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • van der Horst ICC; Department of Critical Care, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Acta Anaesthesiol Scand ; 64(4): 424-442, 2020 04.
Article em En | MEDLINE | ID: mdl-31828760
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Estado Terminal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Acta Anaesthesiol Scand Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Estado Terminal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Acta Anaesthesiol Scand Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Holanda