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Dataset Information

Predicting Infectious ComplicatioNs in Children with Cancer: an external validation study.


ABSTRACT:

Background

The aim of this study was to validate the 'Predicting Infectious ComplicatioNs in Children with Cancer' (PICNICC) clinical decision rule (CDR) that predicts microbiologically documented infection (MDI) in children with cancer and fever and neutropenia (FN). We also investigated costs associated with current FN management strategies in Australia.

Methods

Demographic, episode, outcome and cost data were retrospectively collected on 650 episodes of FN. We assessed the discrimination, calibration, sensitivity and specificity of the PICNICC CDR in our cohort compared with the derivation data set.

Results

Using the original variable coefficients, the CDR performed poorly. After recalibration the PICNICC CDR had an area under the receiver operating characteristic

SUBMITTER: Haeusler GM 

PROVIDER: S-EPMC5520507 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature