Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study

IF 2.3 3区医学 Q1 EMERGENCY MEDICINE

BMC Emergency Medicine Pub Date : 2024-09-09 DOI:10.1186/s12873-024-01084-w

Mohammad Reza Yousefi, Mehrdad Karajizadeh, Mehdi Ghasemian, Shahram Paydar

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引用次数: 0

Abstract

In the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding the trauma patients’ mortality rate have not been compared. Therefore, the objective of this study is comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set. This cross-sectional retrospective diagnostic study performed on 6905 trauma patients, of which 4191 were found eligible, referred to the largest trauma center in southern Iran, Shiraz, during 2022–2023 based on their prehospital data set in order to compare the prognostic power of NEWS2, RTS, and TRISS in predicting in-hospital mortality rate. Patients are divided into deceased and survived groups. Demographic data, vital signs, and GCS were obtained from the patients and scoring systems were calculated and compared between the two groups. TRISS and ISS are calculated with in-hospital data set; others are based on prehospital data set. A total of 129 patients have deceased. Age, cause of injury, length of hospital stay, SBP, RR, HR, temperature, SpO2, and GCS were associated with mortality (p-value < 0.001). TRISS and RTS had the highest sensitivity and specificity respectively (77.52, CI 95% [69.3–84.4] and 93.99, CI 95% [93.2–94.7]). TRISS had the highest area under the ROC curve (0.934) followed by NEWS2 (0.879), GCS (0.815), RTS (0.812), and ISS (0.774). TRISS and NEWS were superior to RTS, GCS, and ISS (p-value < 0.0001). This novel study compares the accuracy of NEWS2, TRISS, and RTS scoring systems in predicting mortality rate based on prehospital data. The findings suggest that all the scoring systems can predict mortality, with TRISS being the most accurate of them, followed by NEWS2. Considering the time consumption and ease of use, NEWS2 seems to be accurate and quick in predicting mortality based on prehospital data set.

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基于院前数据集，比较 NEWS2、TRISS 和 RTS 预测创伤患者死亡率的能力：一项诊断研究

近年来，国家早期预警评分2（NEWS2）被用于早期预测患者临床状况的恶化。迄今为止，还没有人比较过国家早期预警评分（NEWS2）、修订创伤评分（RTS）和创伤及损伤严重程度评分（TRISS）对创伤患者死亡率的预测准确性。因此，本研究的目的是根据院前数据集，比较 NEWS2、TRISS 和 RTS 在预测创伤患者死亡率方面的作用。这项横断面回顾性诊断研究的对象是 2022-2023 年期间根据院前数据集转诊到伊朗南部最大的创伤中心（设拉子）的 6905 名创伤患者，其中 4191 人符合条件，目的是比较 NEWS2、RTS 和 TRISS 在预测院内死亡率方面的预后能力。患者分为死亡组和存活组。从患者处获得人口统计学数据、生命体征和 GCS，计算评分系统并对两组进行比较。TRISS和ISS是根据院内数据集计算的，其他数据则是根据院前数据集计算的。共有 129 名患者死亡。年龄、受伤原因、住院时间、SBP、RR、HR、体温、SpO2 和 GCS 均与死亡率相关（P 值小于 0.001）。TRISS 和 RTS 的灵敏度和特异性分别最高（77.52，CI 95% [69.3-84.4] 和 93.99，CI 95% [93.2-94.7]）。TRISS 的 ROC 曲线下面积最大（0.934），其次是 NEWS2（0.879）、GCS（0.815）、RTS（0.812）和 ISS（0.774）。TRISS 和 NEWS 优于 RTS、GCS 和 ISS（p 值 < 0.0001）。这项新颖的研究根据院前数据比较了 NEWS2、TRISS 和 RTS 评分系统预测死亡率的准确性。研究结果表明，所有评分系统都能预测死亡率，其中 TRISS 最准确，其次是 NEWS2。考虑到耗时和易用性，NEWS2 在根据院前数据集预测死亡率方面似乎更加准确和快速。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Emergency Medicine Medicine-Emergency Medicine

CiteScore

3.50

自引率

8.00%

发文量

178

审稿时长

29 weeks

期刊介绍： BMC Emergency Medicine is an open access, peer-reviewed journal that considers articles on all urgent and emergency aspects of medicine, in both practice and basic research. In addition, the journal covers aspects of disaster medicine and medicine in special locations, such as conflict areas and military medicine, together with articles concerning healthcare services in the emergency departments.