ARTICLE
Volume 10,Issue 7
10 November 2025
Analysis of the Application Value of the MEWS in Neurological Patients and Its Prognostic Influencing Factors
Shuting Tang ,
Zhe Zhou ,
Mingming Wang ,
Peng Wang ,
Renmin Zhang ,
Yan Chen ,
Yajing Ling
Show Less
1
Emergency Medicine Department, Jiangsu University Affiliated People’s Hospital, Zhenjiang 212000, Jiangsu, China.,
JCNR 2025 , 9(10), 361–370;
https://doi.org/10.26689/jcnr.v9i10.12680
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
Objective: To evaluate the predictive value of Modified Early Warning Score (MEWS) for neurological disease prognosis and identify prognostic factors. Methods: This retrospective study analyzed 768 neurological patients with MEWS ≥ 4 (June 2022–June 2024). Patients were stratified by outcomes (favorable/unfavorable). Multivariable logistic regression and ROC analysis were performed. Results: 108 cases (13.1%) had unfavorable outcomes. Significant prognostic factors included: age, TBI history, onset-to-admission time, PT, MEWS score, and MEWS ≥ 4 frequency (all P < 0.05). MEWS showed AUC = 0.749 (sensitivity 62.0%, specificity 77.4%). Conclusion: MEWS demonstrates moderate predictive value (AUC = 0.749) for neurological outcomes. Consciousness assessment limitations (56.5% impaired cases) may affect sensitivity. A specialized model incorporating pupillary reflexes and GCS is recommended for improved early warning.
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