A NICE combination for predicting hospitalisation at the Emergency Department: a European multicentre observational study of febrile children.

ABSTRACT:

Background

Prolonged Emergency Department (ED) stay causes crowding and negatively impacts quality of care. We developed and validated a prediction model for early identification of febrile children with a high risk of hospitalisation in order to improve ED flow.

Methods

The MOFICHE study prospectively collected data on febrile children (0-18 years) presenting to 12 European EDs. A prediction models was constructed using multivariable logistic regression and included patient characteristics available at triage. We determined the discriminative values of the model by calculating the area under the receiver operating curve (AUC).

Findings

Of 38,424 paediatric encounters, 9,735 children were admitted to the ward and 157 to the PICU. The prediction model, combining patien

SUBMITTER: Borensztajn DM 

PROVIDER: S-EPMC8454797 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature