Student Research Committee, School of Nursing and Midwifery (Ms Khari) and Department of Biostatistics, School of Allied Medical Sciences (Ms Zarmehrparirouy), Shahid Beheshti University of Medical Sciences, Tehran, Iran (Mr Rayegantafreshi); School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Ms Zandi); Department of Emergency Medicine, NYC Health & Hospitals, Coney Island, New York, New York (Dr Adel Ramawad); and Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran (Dr Yousefifard).
Adv Emerg Nurs J. 2023;45(1):77-85. doi: 10.1097/TME.0000000000000445.
The objective of this study was to investigate the accuracy of the Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), Rapid Acute Physiology Score (RAPS), Worthing Physiological Scoring System (WPSS), and Revised Trauma Score (RTS) for predicting the inhospital mortality of COVID-19 patients. This diagnostic accuracy study was conducted in Tehran, Iran, from November 15, 2020, to March 10, 2021. The participants consisted of 246 confirmed cases of COVID-19 patients who were admitted to the emergency department. The patients were followed from the point of admission up until discharge from the hospital. The mortality status of patients (survivor or nonsurvivor) was reported at the discharge time, and the receiver operating characteristic curve analysis of each scoring system for predicting inhospital mortality was estimated. The area under the curve of REMS was significantly higher than other scoring systems and in cutoff value of 6 and greater had a sensitivity and specificity of 89.13% and 55.50%, respectively. Among the five scoring systems employed in this study, REMS had the best accuracy to predict the inhospital mortality rate of COVID-19 patients and RAPS had the lowest accuracy for inhospital mortality. Thus, REMS is a useful tool that can be employed in identifying high-risk COVID-19 patients.
本研究旨在探讨改良早期预警评分(MEWS)、快速急诊医学评分(REMS)、快速急性生理学评分(RAPS)、沃辛生理评分系统(WPSS)和修订创伤评分(RTS)预测 COVID-19 患者院内死亡率的准确性。这项诊断准确性研究于 2020 年 11 月 15 日至 2021 年 3 月 10 日在伊朗德黑兰进行。参与者包括 246 名确诊的 COVID-19 患者,他们被收入急诊部。患者从入院开始一直随访到出院。患者的死亡率(幸存者或非幸存者)在出院时报告,估计每个评分系统预测院内死亡率的受试者工作特征曲线分析。REMS 的曲线下面积明显高于其他评分系统,在截断值为 6 及以上时,灵敏度和特异性分别为 89.13%和 55.50%。在本研究中使用的五个评分系统中,REMS 对预测 COVID-19 患者院内死亡率的准确性最高,而 RAPS 对院内死亡率的准确性最低。因此,REMS 是一种有用的工具,可以用于识别高危 COVID-19 患者。