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A 2020 review on the role of procalcitonin in different clinical settings: an update conducted with the tools of the Evidence Based Laboratory Medicine.
Azzini, Anna Maria; Dorizzi, Romolo Marco; Sette, Piersandro; Vecchi, Marta; Coledan, Ilaria; Righi, Elda; Tacconelli, Evelina.
Afiliación
  • Azzini AM; Section of Infectious Disease, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Dorizzi RM; Clinical Pathology Unit, Department of Pathology, Transfusion and Laboratory Medicine, Ravenna, Italy.
  • Sette P; Hospital Management and Organization Department, Hospital of San Bonifacio, San Bonifacio, VR, Italy.
  • Vecchi M; Section of Infectious Disease, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Coledan I; Section of Infectious Disease, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Righi E; Section of Infectious Disease, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Tacconelli E; Section of Infectious Disease, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Ann Transl Med ; 8(9): 610, 2020 May.
Article en En | MEDLINE | ID: mdl-32566636
ABSTRACT
Biomarkers to guide antibiotic treatment decisions have been proposed as an effective way to enhancing a more appropriate use of antibiotics. As a biomarker, procalcitonin (PCT) has been found to have good specificity to distinguish bacterial from non-bacterial inflammations. Decisions regarding antibiotic use in an individual patient are complex and should be based on the pre-test probability for bacterial infection, the severity of presentation and the results of PCT serum concentration. In the context of a high pre-test probability for bacterial infections and/or a high-risk patient with sepsis, monitoring of PCT over time helps to track the resolution of infection and decisions regarding early stop of antibiotic treatment. As outlined by the Evidence Based Laboratory Medicine (EBLM), not only the pre-test probability but also the positive likelihood ratio influence the performance of a test do be really diagnostic. This aspect should be taken into account in the interpretation of the results of clinical trials evaluating the performance of PCT in guiding antibiotic therapy.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ann Transl Med Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ann Transl Med Año: 2020 Tipo del documento: Article País de afiliación: Italia