Evidence map›Paper›PMID 39775437›Full record

ArticlePloS one2025

Comparison of early warning scoring systems for predicting stroke occurrence among hospitalized patients: A study using smart clinical data warehouse.

Chulho Kim, Jae Jun Lee, Jong-Hee Sohn, Jong-Ho Kim, Dong-Ok Won, Sang-Hwa Lee

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chulho KimDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea.
Jae Jun LeeInstitute of New Frontier research Team, Hallym University, Chuncheon, South Korea.
Jong-Hee SohnDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea.
Jong-Ho KimInstitute of New Frontier research Team, Hallym University, Chuncheon, South Korea.
Dong-Ok WonDeparment of Artificial Intelligence Convergence, Hallym University, Chuncheon, South Korea.
Sang-Hwa LeeDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, South Korea.ORCID 0000-0002-0609-1551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the predictive ability of two widely used early warning scoring systems, the Modified Early Warning Score (MEWS) and the National Early Warning Score (NEWS), for predicting stroke occurrence in hospitalized patients.

methodsThe study enrolled 5,474 patients admitted to the intensive care unit from the general ward using data from the Smart Clinical Data Warehouse (CDW). MEWS and NEWS were calculated based on vital signs and clinical parameters within four hours of stroke onset. Stroke occurrence was categorized as ischemic or hemorrhagic. Logistic regression and receiver operating characteristic curve analyses were performed to assess the predictive abilities of the scoring systems.

resultsOf the enrolled patients, 33.9% (n = 1853) experienced stroke, comprising 783 cases of ischemic stroke and 1,070 cases of hemorrhagic stroke. Both the MEWS and the NEWS were found to significantly predict overall stroke occurrence with a cutoff value of 4 (MEWS>4; OR [95% CI]: 13.90 [11.51-16.79], p<0.001; NEWS>4; OR [95% CI]: 6.71 [5.75-7.83], p<0.001). Parameters, such as prior malignancy, atrial fibrillation, AVPU response, heart rate, respiratory rate, and oxygen saturation, are also associated with stroke occurrence. The predictive ability of MEWS and NEWS was good for overall stroke occurrence. (AUC of MEWS: 0.92, 95% CI [0.91-0.93], p<0.001; AUC of NEWS: 0.85, 95% CI [0.84-0.86], p<0.001). The predictive ability was considered fair for ischemic stroke but good for hemorrhagic stroke.

conclusionMEWS and NEWS demonstrated significant predictive abilities for overall stroke occurrence among hospitalized patients, with MEWS slightly outperforming NEWS.

Indexed as

Early Warning ScoreHospitalizationStrokeAgedAged, 80 and overFemaleHemorrhagic StrokeHumansIntensive Care UnitsIschemic StrokeMaleMiddle AgedRisk FactorsROC Curve

Identifiers

PMID39775437
PMCPMC11709256

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