Comparison of early warning scoring systems for predicting stroke occurrence among hospitalized patients: A study using smart clinical data warehouse
- PMID: 39775437
- PMCID: PMC11709256
- DOI: 10.1371/journal.pone.0316068
Comparison of early warning scoring systems for predicting stroke occurrence among hospitalized patients: A study using smart clinical data warehouse
Abstract
Background: This 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.
Methods: The 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.
Results: Of 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.
Conclusion: MEWS and NEWS demonstrated significant predictive abilities for overall stroke occurrence among hospitalized patients, with MEWS slightly outperforming NEWS.
Copyright: © 2025 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures


Similar articles
-
Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population.Clin Interv Aging. 2021 Oct 28;16:1917-1929. doi: 10.2147/CIA.S335315. eCollection 2021. Clin Interv Aging. 2021. PMID: 34737556 Free PMC article.
-
Prognostic value of National Early Warning Score and Modified Early Warning Score on intensive care unit readmission and mortality: A prospective observational study.Front Med (Lausanne). 2022 Aug 4;9:938005. doi: 10.3389/fmed.2022.938005. eCollection 2022. Front Med (Lausanne). 2022. PMID: 35991649 Free PMC article.
-
Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit.JAMA Netw Open. 2020 May 1;3(5):e205191. doi: 10.1001/jamanetworkopen.2020.5191. JAMA Netw Open. 2020. PMID: 32427324 Free PMC article.
-
The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.PLoS One. 2022 Mar 17;17(3):e0265559. doi: 10.1371/journal.pone.0265559. eCollection 2022. PLoS One. 2022. PMID: 35298560 Free PMC article.
-
Comparison of qSOFA and Hospital Early Warning Scores for prognosis in suspected sepsis in emergency department patients: a systematic review.Emerg Med J. 2022 Apr;39(4):284-294. doi: 10.1136/emermed-2020-210416. Epub 2021 Aug 17. Emerg Med J. 2022. PMID: 34404680
Cited by
-
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review.Biomed Eng Lett. 2025 Jun 25;15(4):717-734. doi: 10.1007/s13534-025-00486-4. eCollection 2025 Jul. Biomed Eng Lett. 2025. PMID: 40621610 Free PMC article. Review.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical