Cardiac arrest & resuscitation
Comparison of the Aotearoa New Zealand Early Warning Score and National Early Warning Score to predict adverse inpatient events in a vital sign dataset
Authors' conclusion
Our study is the first validation of the New Zealand EWS in predicting serious adverse events in a broad dataset and supports previous work showing the UK EWS has superior predictive performance in surgical rather than medical patients.
Study context
- Population
- Adult hospital admissions to six hospitals within the Canterbury District Health Board, New Zealand's South Island
- Participants
- 102,394 admissions
- Exposure
- New Zealand Early Warning Score (EWS) vs UK National Early Warning Score
- Outcome
- Prediction of serious adverse events (cardiac arrest, death and/or unanticipated ICU admission), AUC
Methodological detailsvital sign dataset, six hospitals
- Vital sign dataset
- Six hospitals
Main finding
As reported in the abstract
Any adverse outcome
| Group | AUC |
|---|---|
| New Zealand EWS | 0.874 (95%CI 0.871-0.878) |
| UK EWS | 0.874 (95%CI 0.870-0.877) |
AUC
New Zealand EWS0.874 (95%CI 0.871-0.878)
UK EWS0.874 (95%CI 0.870-0.877)
Observational data: associations, not effects.
Further findings
Cardiac arrest and/or death, surgical vs medical specialties (subgroup)
- Both EWSs showed superior predictive value in surgical rather than medical patients
Original publication
Comparison of the Aotearoa New Zealand Early Warning Score and National Early Warning Score to predict adverse inpatient events in a vital sign dataset. Anaesthesia. Published 29 March 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →