Comparison of Five Triage Tools for Identifying Mortality Risk and Injury Severity of Multiple Trauma Patients Admitted to the Emergency Department in the Daytime and Nighttime: A Retrospective Study

Author:

Ying Youguo1,Huang Boli23,Zhu Yan2,Jiang Xiaobin1ORCID,Dong Jinxiu1,Ding Yanfen1,Wang Lei1,Yuan Huimin1,Jiang Ping4ORCID

Affiliation:

1. Emergency Department 1, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

2. Department of Nursing, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Nursing Management Research Center of China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China

4. Independent Researcher, Tokyo, Japan

Abstract

Effective triage tools are indispensable for doctors to make a prompt decision for the treatment of multiple trauma patients in emergency departments (EDs). The Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), standardized early warning score (SEWS), Modified Rapid Emergency Medicine Score (mREMS), and Revised Trauma Score (RTS) are five common triage tools proposed for trauma management. However, few studies have compared these tools in a multiple trauma cohort and investigated the influence of nighttime admission on the performance of these tools. This retrospective study was aimed at evaluating and comparing the performance of MEWS, NEWS, SEWS, mREMS, and RTS for identifying the mortality risk and trauma severity of patients with multiple trauma admitted to the ED during the daytime and nighttime. Retrospective data were collected from the medical records of patients with multiple trauma admitted in the daytime or nighttime to calculate scores for each triage tool. Logistic regression analysis was conducted on each triage tool for identifying in-hospital mortality and severe trauma (injury severity score > 15 ) in the daytime and nighttime. The performance of the tools was evaluated and compared by calculating area under the receiver operating characteristic curve (AUROC) of the retrospective logistic model of each tool. We collected data for 1,818 admissions, including 1,070 daytime and 748 nighttime admissions. A comparison of performance for identifying in-hospital mortality between daytime and nighttime yielded the following results (AUROC): MEWS (0.95 vs. 0.93, p = 0.384 ), NEWS (0.95 vs. 0.94, p = 0.708 ), SEWS (0.95 vs. 0.94, p = 0.683 ), mREMS (0.94 vs. 0.92, p = 0.286 ), and RTS (0.93 vs. 0.93, p = 0.87 ). Similarly, a comparison of performance for identifying trauma severity between daytime and nighttime yielded the following results (AUROC): MEWS (0.78 vs. 0.78, p = 0.95 ), NEWS (0.8 vs. 0.8, p = 0.885 ), SEWS (0.78 vs. 0.78, p = 0.818 ), mREMS (0.75 vs. 0.69, p = 0.019 ), and RTS (0.75 vs. 0.74, p = 0.619 ). All five scores are excellent triage tools ( AUROC 0.9 ) for identifying in-hospital mortality for both daytime and nighttime admissions. However, they have only moderate effectiveness ( AUROC < 0.9 ) at identifying severe trauma. The NEWS is the best triage tool for identifying severe trauma for both daytime and nighttime admissions. The MEWS, NEWS, SEWS, and RTS exhibited no significant differences in performance for identifying in-hospital mortality or severe trauma during the daytime or nighttime. However, the mREMS was better at identifying severe trauma during the daytime.

Funder

Shanghai Three-year Action Plan for Strengthening the Construction of Public Health System

Publisher

Hindawi Limited

Subject

Biomedical Engineering,Bioengineering,Medicine (miscellaneous),Biotechnology

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