Predicting Risk of Serious Bacterial Infections in Febrile Children in the Emergency Department

A prospective study from the UK of the ability to predict serious bacterial infections (SBI) via a logistic regression model using clinical and biomarker variables. Investigators used data from 1101 children (median age 2.4 years) who had presented to an ED for fever and who had required laboratory investigation. About a quarter of this group were diagnosed with a SBI, including pneumonia. The diagnostic model discriminated well between pneumonia and no SBI and between other SBIs and no SBI. Model updating yielded good calibration with good performance at both high-risk and low-risk thresholds. Extending the model with procalcitonin and resistin yielded improvements in discrimination.

Irwin 2017 (Pediatrics) | PubMed 28679639 | Author Search

Share:Email this to someoneShare on LinkedInTweet about this on TwitterShare on Google+Share on Reddit

Comments are closed, but trackbacks and pingbacks are open.