Early warning system can identify sepsis patients

Early warning system can identify sepsis patients

An early warning system has the potential to identify sepsis patients early and improve patient outcomes, according to a study published online July 21 in Nature Medicine.

Roy Adams, Ph.D., from Johns Hopkins University in Baltimore, and colleagues conducted a prospective, multisite cohort study to examine the association between patient outcomes and provider interaction with a deployed sepsis alert system, the Targeted Real-time Early Warning System (TREWS). A total of 590,736 were monitored by TREWS across five hospitals during the study. The analysis focused on 6,877 patients with sepsis who were identified by the alert before initiation of antibiotic therapy.

The researchers found that patients in this group whose alert was confirmed by a provider within three hours had a reduced in-hospital mortality rate (adjusted absolute reduction, 3.3 percent; adjusted relative reduction, 18.7 percent), , and length of stay compared with those whose alert was not confirmed by a provider within three hours after adjustment for patient presentation and severity. Patients who were additionally flagged as high risk had larger improvements in mortality rate (adjusted absolute reduction, 4.5 percent).

"Our findings indicate the potential for high-precision alert systems to identify sepsis patients early and improve ," the authors write. "Furthermore, our findings among indicate that future alert systems may reduce overall alert burden by prioritizing alerts on certain patients."

Several authors disclosed financial ties to Bayesian Health and Basilea.


Explore further

Sepsis risk alerts can help to protect patients in hospitals

More information: Roy Adams et al, Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis, Nature Medicine (2022). DOI: 10.1038/s41591-022-01894-0
Journal information: Nature Medicine

Copyright © 2022 HealthDay. All rights reserved.

Citation: Early warning system can identify sepsis patients (2022, August 3) retrieved 10 August 2022 from https://medicalxpress.com/news/2022-08-early-sepsis-patients.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
18 shares

Feedback to editors