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Clinical predictive models of invasive Candida infection: A systematic literature review.
Rauseo, Adriana M; Aljorayid, Abdullah; Olsen, Margaret A; Larson, Lindsey; Lipsey, Kim L; Powderly, William G; Spec, Andrej.
Afiliação
  • Rauseo AM; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Aljorayid A; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Olsen MA; Department of Medicine, College of Medicine, Qassim University, Buraydah, Saudi Arabia.
  • Larson L; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Lipsey KL; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Powderly WG; Bernard Becker Medical Library, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Spec A; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Med Mycol ; 59(11): 1053-1067, 2021 Nov 03.
Article em En | MEDLINE | ID: mdl-34302351
Clinical predictive models may assist in early identification of patients at risk for invasive candidiasis to initiate appropriate treatment. The findings of this systematic review highlight the limitations of currently available models to predict invasive candidiasis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Medição de Risco / Candidíase Invasiva / Modelos Teóricos Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Medição de Risco / Candidíase Invasiva / Modelos Teóricos Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article