Exploring the performance of the National Early Warning Score (NEWS) in a European emergency department

Resuscitation. 2015 May:90:111-5. doi: 10.1016/j.resuscitation.2015.02.011. Epub 2015 Mar 6.

Abstract

Background: Several triage systems have been developed for use in the emergency department (ED), however they are not designed to detect deterioration in patients. Deteriorating patients may be at risk of going undetected during their ED stay and are therefore vulnerable to develop serious adverse events (SAEs). The national early warning score (NEWS) has a good ability to discriminate ward patients at risk of SAEs. The utility of NEWS had not yet been studied in an ED.

Objective: To explore the performance of the NEWS in an ED with regard to predicting adverse outcomes.

Design: A prospective observational study. Patients Eligible patients were those presenting to the ED during the 6 week study period with an Emergency Severity Index (ESI) of 2 and 3 not triaged to the resuscitation room.

Intervention: NEWS was documented at three time points: on arrival (T0), hour after arrival (T1) and at transfer to the general ward/ICU (T2). The outcomes of interest were: hospital admission, ICU admission, length of stay and 30 day mortality.

Results: A total of 300 patients were assessed for eligibility. Complete data was able to be collected for 274 patients on arrival at the ED. NEWS was significantly correlated with patient outcomes, including 30 day mortality, hospital admission, and length of stay at all-time points.

Conclusion: The NEWS measured at different time points was a good predictor of patient outcomes and can be of additional value in the ED to longitudinally monitor patients throughout their stay in the ED and in the hospital.

Keywords: Clinical outcomes; Deteriorating patients; Early warning score; Monitoring; NEWS; Physiological parameters.

Publication types

  • Observational Study

MeSH terms

  • Age Factors
  • Aged
  • Critical Illness* / mortality
  • Emergency Service, Hospital*
  • Feasibility Studies
  • Female
  • Humans
  • Intensive Care Units
  • Length of Stay / statistics & numerical data
  • Male
  • Netherlands / epidemiology
  • Patient Admission
  • Prospective Studies
  • Risk Assessment*
  • Vital Signs*