Problematic Dichotomization of Risk for Intensive Care Unit (ICU)–Acquired Invasive Candidiasis: Results Using a Risk-Predictive Model to Categorize 3 Levels of Risk From a Multicenter Prospective Cohort of Australian ICU Patients | Zendy

E. Geoffrey Playford | Zendy; Jeffrey Lipman | Zendy; Michael Jones | Zendy; Anna F. Lau | Zendy; Masrura Kabir | Zendy; Sharon C.A. Chen | Zendy; Deborah Marriott | Zendy; Ian Seppelt | Zendy; Thomas Gottlieb | Zendy; Winston Cheung | Zendy; Jonathan R. Iredell | Zendy; Emma S. McBryde | Zendy; Tania C. Sorrell | Zendy

Open Access

Problematic Dichotomization of Risk for Intensive Care Unit (ICU)–Acquired Invasive Candidiasis: Results Using a Risk-Predictive Model to Categorize 3 Levels of Risk From a Multicenter Prospective Cohort of Australian ICU Patients

Author(s) -

E. Geoffrey Playford,

Jeffrey Lipman,

Michael Jones,

Anna F. Lau,

Masrura Kabir,

Sharon C.A. Chen,

Deborah Marriott,

Ian Seppelt,

Thomas Gottlieb,

Winston Cheung,

Jonathan R. Iredell,

Emma S. McBryde,

Tania C. Sorrell

Publication year - 2016

Publication title -

clinical infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciw610

Subject(s) - medicine , intensive care unit , intensive care medicine , risk assessment , prospective cohort study , invasive candidiasis , cohort study , cohort , predictive value of tests , risk factor , emergency medicine , antifungal , computer security , fluconazole , dermatology , computer science

Delayed antifungal therapy for invasive candidiasis (IC) contributes to poor outcomes. Predictive risk models may allow targeted antifungal prophylaxis to those at greatest risk.

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