Martín-Rodríguez Francisco, Enriquez de Salamanca Gambara Rodrigo, Sanz-García Ancor, Castro Villamor Miguel A, Del Pozo Vegas Carlos, Sánchez Soberón Irene, Delgado Benito Juan F, Martín-Conty José L, López-Izquierdo Raúl
Advanced Clinical Simulation Center, Faculty of Medicine, Universidad de Valladolid.
Advanced Life Support, Emergency Medical Services (SACYL).
Eur J Emerg Med. 2023 Jun 1;30(3):193-201. doi: 10.1097/MEJ.0000000000001019. Epub 2023 Apr 5.
A prospective, multicenter, ambulance-based study of adult patients with an acute illness involving six advanced life support units and 38 basic life support units, referring to five emergency departments in Spain.
The primary outcome was long-term mortality with a 1-year follow-up. The compared scores included: National Early Warning Score 2, VitalPAC early warning score, modified rapid emergency medicine score (MREMS), Sepsis-related Organ Failure Assessment, Cardiac Arrest Risk Triage Score, Rapid Acute Physiology Score, and Triage Early Warning Score. Discriminative power [area under the receiver operating characteristic curve (AUC)] and decision curve analysis (DCA) were used to compare the scores. Additionally, a Cox regression and Kaplan-Meier method were used. Between 8 October 2019, and 31 July 2021, a total of 2674 patients were selected. The MREMS presented the highest AUC of 0.77 (95% confidence interval, 0.75-0.79), significantly higher than those of the other EWS. It also exhibited the best performance in the DCA and the highest hazard ratio for 1-year mortality [3.56 (2.94-4.31) for MREMS between 9 and 18 points, and 11.71 (7.21-19.02) for MREMS > 18].
Among seven tested EWS, the use of the MREMS presented better characteristics to predict 1-year mortality; however, all these scores present moderate performances.
一项前瞻性、多中心、基于救护车的针对成年急性病患者的研究,涉及西班牙的6个高级生命支持单位和38个基本生命支持单位,并转诊至5个急诊科。
主要结局是1年随访期的长期死亡率。比较的评分包括:国家早期预警评分2、VitalPAC早期预警评分、改良快速急诊医学评分(MREMS)、脓毒症相关器官功能衰竭评估、心脏骤停风险分诊评分、快速急性生理学评分和分诊早期预警评分。使用辨别力[受试者操作特征曲线下面积(AUC)]和决策曲线分析(DCA)来比较这些评分。此外,还使用了Cox回归和Kaplan-Meier方法。在2019年10月8日至2021年7月31日期间,共选取了2674例患者。MREMS的AUC最高,为0.77(95%置信区间,0.75 - 0.79),显著高于其他早期预警评分。它在DCA中也表现最佳,且1年死亡率的风险比最高[MREMS在9至18分之间为3.56(2.94 - 4.31),MREMS>18分为11.71(7.21 - 19.02)]。
在七个测试的早期预警评分中,MREMS在预测1年死亡率方面表现出更好的特征;然而,所有这些评分的表现都中等。