A Comparison between Modified Early Warning Score, WorthingPhysiological Scoring System, National Early Warning Score,and Rapid Emergency Medicine Score in Predicting Inhospital Mortality in Multiple Trauma Patients


1 Department of Emergency Medicine, Faculty of Medicine, Isfahan University of Medical Sciences, Najafabad, Iran

2 Department of Emergency Medicine, Faculty of Medical Sciences, Najafabad Branch, Islamic Azad University, Najafabad, Iran

3 Trauma Registry Center, Isfahan University of Medical Sciences, Isfahan, Iran


Background and Objectives: Physiological scoring systems could potentially aid emergency department (ED) trauma triage, and allowed clinicians to focus on treating the most severe patients first. This study aims to compare Modified Early Warning Score (MEWS), Worthing Physiological Scoring System (WPSS), National Early Warning Score (NEWS), and Rapid Emergency Medicine Score (REMS) in predicting inhospital mortality for multiple trauma patients. Methods: This prospective descriptive study was performed on adult multiple trauma patients referred to the ED of Al-Zahra and Kashani hospitals, Isfahan, Iran during 2019-2020. The primary outcome was inhospital mortality. Receiver operating characteristic (ROC) curve analysis was used to evaluate and compare the performances of four scores. Results: Of the 771 patients included in this study, 738 patients (95.7%) survived after 24 h of admission. The mean age of patients was 38.66 ± 18.67 years, and the majority of patients were male (79.1%). To predict inhospital mortality, the area under the ROC curve (AUC) of REMS, MEWS, NEWS, WPSS, and Injury Severity Score (ISS) were 0.944, 0.889, 0.768, 0.754, and 0.869, respectively. Results showed that REMS was more successful than other scores in predicting in-hospital mortality for multiple trauma patients. AUC of REMS was significantly better than NEWS, WPSS, and ISS in predicting inhospital mortality. Conclusions: The findings of this study reveal that REMS is an excellent predictor of in-hospital mortality and MEWS, NEWS, WPSS, and ISS are good predictors of in-hospital mortality.


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