已发表论文

改良早期预警评分系统(MEWS)在神经外科手术或介入治疗后患者病情评估及预后判断中的应用

 

Authors Liu P, Xu J, Liu Y, Wang X, Tan Q, Wang Y

Received 3 April 2025

Accepted for publication 30 July 2025

Published 18 August 2025 Volume 2025:18 Pages 2693—2699

DOI https://doi.org/10.2147/RMHP.S532103

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Kyriakos Souliotis

Ping Liu,1,* Jiao Xu,1,* Yuhua Liu,1 Xuexuan Wang,1 Qili Tan,1 Ying Wang2 

1Neurosurgery Department, Chinese People’s Liberation Army Special Medical Center, Chongqing, 400042, People’s Republic of China; 2Nursing Department, Renji Hospital, School of Medicine, Chongqing University, Chongqing, 400062, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Ying Wang, Nursing Department, Renji Hospital, School of Medicine, Chongqing University, No. 121 Wangxi Road, Nan’an District, Chongqing, 400062, People’s Republic of China, Tel +86-13983219595, Email wangying121w@163.com

Objective: To evaluate the safety and clinical utility of the corrected Modified Early Warning Score (MEWS) system in predicting postoperative clinical deterioration and long-term prognosis in neurosurgical patients.
Methods: A prospective cohort study was conducted on 344 neurosurgical patients admitted between December 2021 and April 2022. Physiological parameters including axillary temperature, respiratory rate, heart rate, systolic blood pressure, arterial oxygen saturation, and consciousness level were systematically recorded. Patients were monitored for clinical deterioration and final outcomes over a 90-day postoperative period. Receiver operating characteristic (ROC) curve analysis was performed with 90-day mortality as the primary endpoint.
Results: The study demonstrated a significant correlation between elevated corrected MEWS scores and clinical severity (p< 0.001). ROC analysis revealed excellent predictive accuracy for 90-day mortality (AUC=0.944), with an optimal cutoff value of 4.5 points demonstrating high sensitivity (92.9%) and specificity (82.0%). The maximum Youden’s index of 0.749 further confirmed the robust discriminative capacity of this threshold.
Conclusion: The corrected MEWS scoring system shows strong predictive validity for postoperative clinical deterioration and long-term outcomes in neurosurgical patients.

Keywords: correction and improvement of early warning score, check MEWS, after neurosurgery, prognostic assessment