ArticleScientific reports2021
Predicting severe outcomes using national early warning score (NEWS) in patients identified by a rapid response system: a retrospective cohort study.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.BMJ open quality · 2026Review
- One Score Fits All? A Narrative Review on Early Warning Scores for Older Adults in the Emergency Department in the Era of Personalized Medicine.Journal of personalized medicine · 2026Review
- Article
- Predicting COVID-19 Patient Disposition Using the National Early Warning Score 2: A Retrospective Cohort Study.Cureus · 2025Article
- Clinical Outcome and Prognosis of a Nosocomial Outbreak of COVID-19.Journal of clinical medicine · 2023Article
- Development and validation of nomogram for unplanned ICU admission in patients with dilated cardiomyopathy.Frontiers in cardiovascular medicine · 2023Article
- Improved inpatient deterioration detection in general wards by using time-series vital signs.Scientific reports · 2022Article
- Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population.Clinical interventions in aging · 2021Article
- A machine learning model for predicting short-term outcomes after rapid response system activation.Acute medicine & surgeryArticle
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are insufficient data in managing patients at high risk of deterioration. We aimed to investigate that national early warning score (NEWS) could predict severe outcomes in patients identified by a rapid response system (RRS), focusing on the patient's age. We conducted a retrospective cohort study from June 2019 to December 2020. Outcomes were unplanned intensive care unit (ICU) admission, ICU mortality, and in-hospital mortality. We analyzed the predictive ability of NEWS using receiver operating characteristics (ROC) curve and the effect of NEWS parameters using multivariable logistic regression. A total of 2,814 RRS activations were obtained. The predictive ability of NEWS for unplanned ICU admission and in-hospital mortality was fair but was poor for ICU mortality. The predictive ability of NEWS showed no differences between patients aged 80 years or older and under 80 years. However, body temperature affected in-hospital mortality for patients aged 80 years or older, and the inverse effect on unplanned ICU admission was observed. The NEWS showed fair predictive ability for unplanned ICU admission and in-hospital mortality among patients identified by the RRS. The different presentations of patients 80 years or older should be considered in implementing the RRS.
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