Failure to Validate a Multivariable Clinical Prediction Model to Identify Pediatric Intensive Care Unit Patients at High Risk for Candidemia | Zendy

Brian T. Fisher | Zendy; Rachael Ross | Zendy; Emmanuel Roilides | Zendy; Debra L. Palazzi | Zendy; Mark J. Abzug | Zendy; Jill A. Hoffman | Zendy; David M. Berman | Zendy; Priya A. Prasad | Zendy; A. Russell Localio | Zendy; William J. Steinbach | Zendy; Lambrini Vogiatzi | Zendy; Ankhi Dutta | Zendy; Theoklis E. Zaoutis | Zendy

Open Access

Failure to Validate a Multivariable Clinical Prediction Model to Identify Pediatric Intensive Care Unit Patients at High Risk for Candidemia

Author(s) -

Brian T. Fisher,

Rachael Ross,

Emmanuel Roilides,

Debra L. Palazzi,

Mark J. Abzug,

Jill A. Hoffman,

David M. Berman,

Priya A. Prasad,

A. Russell Localio,

William J. Steinbach,

Lambrini Vogiatzi,

Ankhi Dutta,

Theoklis E. Zaoutis

Publication year - 2015

Publication title -

journal of the pediatric infectious diseases society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.269

H-Index - 31

eISSN - 2048-7207

pISSN - 2048-7193

DOI - 10.1093/jpids/piv024

Subject(s) - medicine , intensive care unit , pediatric intensive care unit , intensive care medicine , medline , multivariable calculus , emergency medicine , control engineering , political science , law , engineering

We attempted to validate a previously derived clinical prediction rule for candidemia in the pediatric intensive care unit. This multicenter case control study did not identify significant association of candidemia with most of the previously identified predictors. Additional study in larger cohorts with other predictor variables is needed.

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