The National Early Warning Score predicts mortality in hospital ward patients with deviating vital signs : A retrospective medical record review study
(2019) In Journal of Clinical Nursing 28(7-8). p.1216-1222- Abstract
Aims and objectives: To evaluate whether the scale used for assessment of hospital ward patients could predict in-hospital and 30-day mortality amongst those with deviating vital signs; that is, that patients classified as medium or high risk would have increased risk of in-hospital and 30-day mortality compared to patients with low risk. Background: The National Early Warning Score (NEWS) is a widely adopted scale for assessing deviating vital signs. A clinical risk scale that comes with the NEWS divides the risk for critical illness into three risk categories, low, medium and high. Design: Retrospective analysis of vital sign data. Methods: Logistic regression models for age-adjusted in-hospital and 30-day mortality were used for... (More)
Aims and objectives: To evaluate whether the scale used for assessment of hospital ward patients could predict in-hospital and 30-day mortality amongst those with deviating vital signs; that is, that patients classified as medium or high risk would have increased risk of in-hospital and 30-day mortality compared to patients with low risk. Background: The National Early Warning Score (NEWS) is a widely adopted scale for assessing deviating vital signs. A clinical risk scale that comes with the NEWS divides the risk for critical illness into three risk categories, low, medium and high. Design: Retrospective analysis of vital sign data. Methods: Logistic regression models for age-adjusted in-hospital and 30-day mortality were used for analyses of 1,107 patients with deviating vital signs. Results: Patients classified as medium or high risk by NEWS experienced a 2.11 or 3.40 increase, respectively, in odds of in-hospital death (95% CI: 1.27–3.51, p = 0.004% and 95% CI: 1.90–6.01, p < 0.001) compared to low-risk patients. Moreover, those with NEWS medium or high risk were associated with a 1.98 or 3.19 increase, respectively, in odds of 30-day mortality (95% CI: 1.32–2.97, p = 0.001% and 95% CI: 1.97–5.18, p < 0.001). Conclusion: The NEWS risk classification seems to be a reliable predictor of mortality on patients in hospital wards. Relevance to clinical practice: The NEWS risk classification offers a simple way to identify deteriorating patients and can aid the healthcare staff to prioritise amongst patients.
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- author
- Spångfors, Martin LU ; Bunkenborg, Gitte LU ; Molt, Mats LU and Samuelson, Karin LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- critical care, critical care outreach, Early Warning Score, hospital mortality, in-hospital cardiac arrest, Medical Emergency Team, National Early Warning Score, vital signs
- in
- Journal of Clinical Nursing
- volume
- 28
- issue
- 7-8
- pages
- 1216 - 1222
- publisher
- Wiley-Blackwell
- external identifiers
-
- pmid:30516860
- scopus:85059637434
- ISSN
- 0962-1067
- DOI
- 10.1111/jocn.14728
- language
- English
- LU publication?
- yes
- id
- de8fbbe5-2af6-4fd8-adc7-960d0e6e127f
- date added to LUP
- 2019-01-18 14:08:44
- date last changed
- 2025-01-22 01:38:19
@article{de8fbbe5-2af6-4fd8-adc7-960d0e6e127f, abstract = {{<p>Aims and objectives: To evaluate whether the scale used for assessment of hospital ward patients could predict in-hospital and 30-day mortality amongst those with deviating vital signs; that is, that patients classified as medium or high risk would have increased risk of in-hospital and 30-day mortality compared to patients with low risk. Background: The National Early Warning Score (NEWS) is a widely adopted scale for assessing deviating vital signs. A clinical risk scale that comes with the NEWS divides the risk for critical illness into three risk categories, low, medium and high. Design: Retrospective analysis of vital sign data. Methods: Logistic regression models for age-adjusted in-hospital and 30-day mortality were used for analyses of 1,107 patients with deviating vital signs. Results: Patients classified as medium or high risk by NEWS experienced a 2.11 or 3.40 increase, respectively, in odds of in-hospital death (95% CI: 1.27–3.51, p = 0.004% and 95% CI: 1.90–6.01, p < 0.001) compared to low-risk patients. Moreover, those with NEWS medium or high risk were associated with a 1.98 or 3.19 increase, respectively, in odds of 30-day mortality (95% CI: 1.32–2.97, p = 0.001% and 95% CI: 1.97–5.18, p < 0.001). Conclusion: The NEWS risk classification seems to be a reliable predictor of mortality on patients in hospital wards. Relevance to clinical practice: The NEWS risk classification offers a simple way to identify deteriorating patients and can aid the healthcare staff to prioritise amongst patients.</p>}}, author = {{Spångfors, Martin and Bunkenborg, Gitte and Molt, Mats and Samuelson, Karin}}, issn = {{0962-1067}}, keywords = {{critical care; critical care outreach; Early Warning Score; hospital mortality; in-hospital cardiac arrest; Medical Emergency Team; National Early Warning Score; vital signs}}, language = {{eng}}, number = {{7-8}}, pages = {{1216--1222}}, publisher = {{Wiley-Blackwell}}, series = {{Journal of Clinical Nursing}}, title = {{The National Early Warning Score predicts mortality in hospital ward patients with deviating vital signs : A retrospective medical record review study}}, url = {{http://dx.doi.org/10.1111/jocn.14728}}, doi = {{10.1111/jocn.14728}}, volume = {{28}}, year = {{2019}}, }