Article ; Online: Evaluating the performance of the National Early Warning Score in different diagnostic groups.
2023 Volume 193, Page(s) 110032
Abstract: Background: The National Early Warning Score (NEWS) is used in hospitals across the UK to detect deterioration of patients within care pathways. It is used for most patients, but there are relatively few studies validating its performance in groups of ... ...
Abstract | Background: The National Early Warning Score (NEWS) is used in hospitals across the UK to detect deterioration of patients within care pathways. It is used for most patients, but there are relatively few studies validating its performance in groups of patients with specific conditions. Methods: The performance of NEWS was evaluated against 36 other Early Warning Scores, in 123 patient groups, through use of the area under the receiver operating characteristic (AUROC) curve technique, to compare the abilities of each Early Warning Score to discriminate an outcome within 24hrs of vital sign recording. Outcomes evaluated were death, ICU admission, or a combined outcome of either death or ICU admission within 24 hours of an observation set. Results: The National Early Warning Score 2 performs either best or joint best within 120 of the 123 patient groups evaluated and is only outperformed in prediction of unanticipated ICU admission. When outperformed by other Early Warning Scores in the remaining 3 patient groups, the performance difference was marginal. Conclusions: Consistently high performance indicates that NEWS is a suitable early warning score to use for all diagnostic groups considered by this analysis, and patients are not disadvantaged through use of NEWS in comparison to any of the other evaluated Early Warning Scores. |
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MeSH term(s) | Humans ; Early Warning Score ; Intensive Care Units ; Hospitalization ; Hospitals ; ROC Curve ; Retrospective Studies ; Hospital Mortality |
Language | English |
Publishing date | 2023-11-04 |
Publishing country | Ireland |
Document type | Journal Article |
ZDB-ID | 189901-6 |
ISSN | 1873-1570 ; 0300-9572 |
ISSN (online) | 1873-1570 |
ISSN | 0300-9572 |
DOI | 10.1016/j.resuscitation.2023.110032 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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