Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia

Brian T. Fisher; Rachael K. 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

doi:10.1093/jpids/piv024

Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia

Brian T. Fisher, Rachael K. 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

All Children's Hospital

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	458-461
Number of pages	4
Journal	Journal of the Pediatric Infectious Diseases Society
Volume	5
Issue number	4
DOIs	https://doi.org/10.1093/jpids/piv024
State	Published - Dec 1 2016

Keywords

ICU
Pediatric
Prediction
Validation
candidemia

ASJC Scopus subject areas

Medicine(all)

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10.1093/jpids/piv024

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Fisher, B. T., Ross, R. K., Roilides, E., Palazzi, D. L., Abzug, M. J., Hoffman, J. A., Berman, D. M., Prasad, P. A., Russell Localio, A., Steinbach, W. J., Vogiatzi, L., Dutta, A., & Zaoutis, T. E. (2016). Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia. Journal of the Pediatric Infectious Diseases Society, 5(4), 458-461. https://doi.org/10.1093/jpids/piv024

Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia. / Fisher, Brian T.; Ross, Rachael K.; Roilides, Emmanuel et al.

In: Journal of the Pediatric Infectious Diseases Society, Vol. 5, No. 4, 01.12.2016, p. 458-461.

Research output: Contribution to journal › Article › peer-review

Fisher, BT, Ross, RK, Roilides, E, Palazzi, DL, Abzug, MJ, Hoffman, JA, Berman, DM, Prasad, PA, Russell Localio, A, Steinbach, WJ, Vogiatzi, L, Dutta, A & Zaoutis, TE 2016, 'Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia', Journal of the Pediatric Infectious Diseases Society, vol. 5, no. 4, pp. 458-461. https://doi.org/10.1093/jpids/piv024

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abstract = "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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AU - Abzug, Mark J.

AU - Hoffman, Jill A.

AU - Berman, David M.

AU - Prasad, Priya A.

AU - Russell Localio, A.

AU - Steinbach, William J.

AU - Vogiatzi, Lambrini

AU - Dutta, Ankhi

AU - Zaoutis, Theoklis E.

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Failure to validate a multivariable clinical prediction model to identify pediatric intensive care unit patients at high risk for candidemia

Abstract

Keywords

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