ArticleAcute medicine & surgery
Validation of National Early Warning Score for predicting 30-day mortality after rapid response system activation in Japan.
Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Comparing the predictive power of the National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) for ICU admission in respiratory patients during the COVID-19 pandemic: A multicenter cross-sectional study.International journal of emergency medicine · 2025Article
- Utility of a Card-Type Respiratory Rate Measuring Device for Spontaneously Breathing Patients.Diagnostics (Basel, Switzerland) · 2025Article
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- A machine learning model for predicting short-term outcomes after rapid response system activation.Acute medicine & surgeryArticle
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- Prognostic accuracy of lactate and procalcitonin in addition to national early warning score in patients with suspected sepsis - A cross-sectional study in a tertiary care center.International journal of critical illness and injury scienceArticle
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Authors and funding
11 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimAlthough rapid response systems (RRS) are used to prevent adverse events, Japan reportedly has low activation rates and high mortality rates. The National Early Warning Score (NEWS) could provide a solution, but it has not been validated in Japan. We aimed to validate NEWS for Japanese patients.
methodsThis retrospective observational study included data of 2,255 adult patients from 33 facilities registered in the In-Hospital Emergency Registry in Japan between January 2014 and March 2018. The primary evaluated outcome was mortality rate 30 days after RRS activation. Accuracy of NEWS was analyzed with the correlation coefficient and area under the receiver operating characteristic curve. Prediction weights of NEWS parameters were then analyzed using multiple logistic regression and a machine learning method, classification and regression trees.
resultsThe correlation coefficient of NEWS for 30-day mortality rate was 0.95 (95% confidence interval [CI], 0.88-0.98) and the area under the receiver operating characteristic curve was 0.668 (95% CI, 0.642-0.693). Sensitivity and specificity values with a cut-off score of 7 were 89.8% and 45.1%, respectively. Regarding prediction values of each parameter, oxygen saturation showed the highest odds ratio of 1.36 (95% CI, 1.25-1.48), followed by altered mental status 1.23 (95% CI, 1.14-1.32), heart rate 1.21 (95% CI, 1.09-1.34), systolic blood pressure 1.12 (95% CI, 1.04-1.22), and respiratory rate 1.03 (95% CI, 1.05-1.26). Body temperature and oxygen supplementation were not significantly associated. Classification and regression trees showed oxygen saturation as the most heavily weighted parameter, followed by altered mental status and respiratory rate.
conclusionsNational Early Warning Score could stratify 30-day mortality risk following RRS activation in Japanese patients.
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