Using machine learning to predict blood culture outcomes in the emergency department: a single-centre, retrospective, observational study.

ABSTRACT:

Objectives

To develop predictive models for blood culture (BC) outcomes in an emergency department (ED) setting.

Design

Retrospective observational study.

Setting

ED of a large teaching hospital in the Netherlands between 1 September 2018 and 24 June 2020.

Participants

Adult patients from whom BCs were collected in the ED. Data of demographic information, vital signs, administered medications in the ED and laboratory and radiology results were extracted from the electronic health record, if available at the end of the ED visits.

Main outcome measures

The primary outcome was the performance of two models (logistic regression and gradient boosted trees) to predict bacteraemia in ED patients, defined as at least one true positive BC collected at the ED.

SUBMITTER: Boerman AW 

PROVIDER: S-EPMC8728456 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature