Evidence map›Paper›PMID 34026233›Full record

ArticleAcute medicine & surgery

Validation of National Early Warning Score for predicting 30-day mortality after rapid response system activation in Japan.

Takaki Naito, Kuniyoshi Hayashi, Hsiang-Chin Hsu, Kazuhiro Aoki, Kazuma Nagata, Masayasu Arai, Taka-Aki Nakada, Shinichiro Suzaki, Yoshiro Hayashi, Shigeki Fujitani and 1 more

Open access · goldAbstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 2 countries.

Takaki NaitoDepartment of Emergency and Critical Care Medicine St. Marianna University School of Medicine Kanagawa Japan.ORCID https://orcid.org/0000-0001-8333-0141
Kuniyoshi HayashiGraduate School of Public Health St. Luke's International University Tokyo Japan.
Hsiang-Chin HsuDepartment of Emergency Medicine National Cheng Kung University Tainan City Taiwan.ORCID https://orcid.org/0000-0002-4350-6701
Kazuhiro AokiDepartment of Anesthesiology and Intensive Care Medicine St. Luke's International Hospital Tokyo Japan.
Kazuma NagataDepartment of Respiratory Medicine Kobe City Medical Center General Hospital Hyogo Japan.
Masayasu AraiDepartment of Anesthesiology Kitasato University School of Medicine Kanagawa Japan.
Taka-Aki NakadaDepartment of Emergency and Critical Care Medicine Chiba University Graduate School of Medicine Chiba Japan.ORCID https://orcid.org/0000-0002-4480-556X
Shinichiro SuzakiDepartment of Emergency and Critical Care Medicine Japanese Red Cross Musashino Hospital Tokyo Japan.
Yoshiro HayashiDepartment of Intensive Care Medicine Kameda Medical Center Chiba Japan.
Shigeki FujitaniDepartment of Emergency and Critical Care Medicine St. Marianna University School of Medicine Kanagawa Japan.
In‐Hospital Emergency Study Group
St. Marianna University School of Medicine · JPChiba University · JPKameda Medical Center · JPKitasato University · JPKobe City Medical Center General Hospital · JPMusashino Red Cross Hospital · JPNational Cheng Kung University · TWSt. Luke's International Hospital · JPSt. Luke's International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

In‐hospital cardiac arrestmachine learningmedical emergency teamnational early warning scorerapid response system

Identifiers

PMID34026233
PMCPMC8122242
OpenAlexW3160561524

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.