title: Risk prediction for invasive candidiasis.
abstract: Over past few years, treatment of invasive candidiasis (IC) has evolved from targeted therapy to prophylaxis, pre-emptive and empirical therapy. Numerous predisposing factors for IC have been grouped together in various combinations to design risk prediction models. These models in general have shown good negative predictive value, but poor positive predictive value. They are useful in selecting the population which is less likely to benefit from empirical antifungal therapy and thus prevent overuse of antifungal agents. Current article deals with various risk prediction models for IC and their external validation studies.
authors.affiliation: Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
authors.forename: Armin
authors.initials: A
authors.lastname: Ahmed
authors.affiliation: Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
authors.forename: Afzal
authors.initials: A
authors.lastname: Azim
authors.affiliation: Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
authors.forename: Arvind Kumar
authors.initials: AK
authors.lastname: Baronia
authors.affiliation: Department of Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
authors.forename: K Rungmei S K
authors.initials: KR
authors.lastname: Marak
authors.affiliation: Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
authors.forename: Mohan
authors.initials: M
authors.lastname: Gurjar
keywords: Critically ill; invasive candidiasis; risk factors; risk prediction models