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VOLUME 18 , ISSUE 10 ( October, 2014 ) > List of Articles


Risk prediction for invasive candidiasis

Arvind Kumar Baronia, K. Rungmei Marak

Keywords : Critically ill, invasive candidiasis, risk factors, risk prediction models

Citation Information : Baronia A K, Marak KR. Risk prediction for invasive candidiasis. Indian J Crit Care Med 2014; 18 (10):682-688.

DOI: 10.4103/0972-5229.142178

License: CC BY-ND 3.0

Published Online: 01-06-2008

Copyright Statement:  Copyright © 2014; The Author(s).


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.

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