Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/21472
Title: Determination of the best early warning scores to predict clinical outcomes of patients in emergency department.
Austin Authors: Spencer, William S;Smith, Jesse L;Date, Patrick A ;de Tonnerre, Erik J;Taylor, David McD 
Affiliation: Austin Health, Heidelberg, Victoria, Australia
Northern Sydney Local Health District, NSW Health, NSW, Australia
Department of Emergency Medicine, Austin Health, Heidelberg, Victoria, Australia
Alfred Health, Melbourne, Victoria, Australia
Central Gippsland Health, Sale, Sydney, Victoria, Australia
Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
Issue Date: Dec-2019
metadata.dc.date: 2019-07-31
Publication information: Emergency medicine journal : EMJ 2019; 36(12): 716-721
Abstract: Early warning scores (EWS) are used to predict patient outcomes. We aimed to determine which of 13 EWS, based largely on emergency department (ED) vital sign data, best predict important clinical outcomes. We undertook a prospective cohort study in a metropolitan, tertiary-referral ED in Melbourne, Australia (February-April 2018). Patient demographics, vital signs and management data were collected while the patients were in the ED and EWS were calculated using each EWS criteria. Outcome data were extracted from the medical record (2-day, 7-day and 28-day inhospital mortality, clinical deterioration within 2 days, intensive care unit (ICU) admission within 2 days, admission to hospital). Area under the receiver operator characteristic (AUROC; 95% CIs) curves were used to evaluate the predictive ability of each EWS for each outcome. Of 1730 patients enrolled, 690 patients were admitted to the study hospital. Most EWS were good or excellent predictors of 2-day mortality. When considering the point estimates, the VitalPac EWS was the most strongly predictive (AUROC: 0.96; 95% CI: 0.92 to 0.99). However, when considering the 95% CIs, there was no significant difference between the highest performing EWS. The predictive ability for 7-day and 28-day mortality was generally less. No EWS was a good predictor for clinical deterioration (AUROC range: 0.54-0.70), ICU admission (range: 0.51-0.72) or admission to hospital (range: 0.51-0.68). Several EWS have excellent predictive ability for 2-day mortality and have the potential to risk stratify patients in ED. No EWS adequately predicted clinical deterioration, admission to either ICU or the hospital.
URI: http://ahro.austin.org.au/austinjspui/handle/1/21472
DOI: 10.1136/emermed-2019-208622
ORCID: 0000-0002-8986-9997
PubMed URL: 31366627
Type: Journal Article
Subjects: assessment
clinical management
emergency department
Appears in Collections:Journal articles

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