title: Should we continue to use prediction tools to identify patients at risk of Candida spp. infection? If yes, why?
authors: Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency. Policlinico P. Giaccone, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy. cortegiania@gmail.com.
authors: A
authors: 0000-0003-1416-9993
authors: A
authors: Cortegiani
authors: Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency. Policlinico P. Giaccone, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
authors: V
authors: V
authors: Russotto
authors: Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency. Policlinico P. Giaccone, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
authors: S M
authors: SM
authors: Raineri
authors: Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency. Policlinico P. Giaccone, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
authors: G
authors: G
authors: Gregoretti
authors: Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency. Policlinico P. Giaccone, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
authors: A
authors: A
authors: Giarratano
mesh_terms: D000935:Antifungal Agents; D002175:Candida; D002177:Candidiasis; D006801:Humans; D009181:Mycoses; D012307:Risk Factors
chemical_list: D000935:Antifungal Agents
keywords: Candida spp; Invasive fungal infections; Sepsis