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MEDical wards Invasive Candidiasis ALgorithms (MEDICAL):Consensus proposal for management

Scudeller, Luigia
•
Concia, Ercole
•
Corrao, Salvatore
altro
BASSETTI, MATTEO
2016
  • journal article

Periodico
EUROPEAN JOURNAL OF INTERNAL MEDICINE
Abstract
Introduction A majority of invasive Candida infections occur in medical wards; however, evidence for management in this setting is scarce and based primarily on the intensive care or surgical setting. On behalf of the Italian Society for Anti-Infective Therapy (SITA) and the Italian Federation of Associations of Hospital Doctors on Internal Medicine (FADOI), the MEDICAL group produced practical management algorithms for patients in internal medicine wards. Methods The MEDICAL group panel, composed of 30 members from internal medicine, infectious disease, clinical pharmacology, clinical microbiology and clinical epidemiology, provided expert opinion through the RAND/UCLA method. Results Seven clinical scenarios were constructed based on clinical severity and probability of invasive candidiasis. For each scenario, the appropriateness of 63 different diagnostic, imaging, management, or therapeutic procedures was determined in two Delphi rounds. The necessity for performing each appropriate procedure, was then determined in a third Delphi round. Results were summarized in algorithms. Discussion The proposed algorithms provide internal medicine physicians and managers with an easy to interpret tool that is exhaustive, clear and suitable for adaption to individual local settings. Attention was paid to individual patient management and resource allocation
DOI
10.1016/j.ejim.2016.07.007
WOS
WOS:000385488500030
Archivio
http://hdl.handle.net/11390/1101252
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84994078106
www.elsevier.com/locate/ejim
Diritti
closed access
Soggetti
  • Clinical severity

  • Invasive candidiasi

  • Medical ward

  • Risk stratification

  • Internal Medicine

Scopus© citazioni
6
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
7
Data di acquisizione
Mar 28, 2024
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