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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCNR</journal-id><journal-title-group><journal-title>Journal of Clinical and Nursing Research</journal-title></journal-title-group><issn>2208-3685</issn><eissn>2208-3693</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcnr.v9i10.12680</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis of the Application Value of the MEWS in Neurological Patients and Its Prognostic Influencing Factors</title><url>https://artdesignp.com/journal/JCNR/9/10/10.26689/jcnr.v9i10.12680</url><author>TangShuting,ZhouZhe,WangMingming,WangPeng,ZhangRenmin,ChenYan,LingYajing</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>10</issue><history><date date-type="pub"><published-time>2025-11-10</published-time></date></history><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 &amp;lt; 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.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Ding S, Pan H, Yu X, et al., 2018, Construction of Standardized Nursing Assessment Terminology for Neurological Diseases. 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