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急诊科疑似新型冠状病毒肺炎感染患者的早期预警评分

Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments.

作者信息

Martín-Rodríguez Francisco, Martín-Conty José L, Sanz-García Ancor, Rodríguez Virginia Carbajosa, Rabbione Guillermo Ortega, Cebrían Ruíz Irene, Oliva Ramos José R, Castro Portillo Enrique, Polonio-López Begoña, Enríquez de Salamanca Gambarra Rodrigo, Gómez-Escolar Pérez Marta, López-Izquierdo Raúl

机构信息

Advanced Clinical Simulation Centre, Advanced Life Support Unit, Emergency Medical Services, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain.

Faculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, Spain.

出版信息

J Pers Med. 2021 Mar 2;11(3):170. doi: 10.3390/jpm11030170.

Abstract

Early warning scores (EWSs) help prevent and recognize and thereby act as the first signs of clinical and physiological deterioration. The objective of this study is to evaluate different EWSs (National Early Warning Score 2 (NEWS2), quick sequential organ failure assessment score (qSOFA), Modified Rapid Emergency Medicine Score (MREMS) and Rapid Acute Physiology Score (RAPS)) to predict mortality within the first 48 h in patients suspected to have Coronavirus disease 2019 (COVID-19). We conducted a retrospective observational study in patients over 18 years of age who were treated by the advanced life support units and transferred to the emergency departments between March and July of 2020. Each patient was followed for two days registering their final diagnosis and mortality data. A total of 663 patients were included in our study. Early mortality within the first 48 h affected 53 patients (8.3%). The scale with the best capacity to predict early mortality was the National Early Warning Score 2 (NEWS2), with an area under the curve of 0.825 (95% CI: 0.75-0.89). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive patients presented an area under the curve (AUC) of 0.804 (95% CI: 0.71-0.89), and the negative ones with an AUC of 0.863 (95% CI: 0.76-0.95). Among the EWSs, NEWS2 presented the best predictive power, even when it was separately applied to patients who tested positive and negative for SARS-CoV-2.

摘要

早期预警评分(EWS)有助于预防和识别临床及生理状况恶化的早期迹象,从而发挥作用。本研究的目的是评估不同的早期预警评分(国家早期预警评分2(NEWS2)、快速序贯器官衰竭评估评分(qSOFA)、改良快速急诊医学评分(MREMS)和快速急性生理学评分(RAPS)),以预测疑似2019冠状病毒病(COVID-19)患者在最初48小时内的死亡率。我们对2020年3月至7月期间由高级生命支持单位治疗并转诊至急诊科的18岁以上患者进行了一项回顾性观察研究。对每位患者进行为期两天的随访,记录其最终诊断和死亡率数据。我们的研究共纳入663例患者。最初48小时内的早期死亡率影响了53例患者(8.3%)。预测早期死亡率能力最佳的量表是国家早期预警评分2(NEWS2),曲线下面积为0.825(95%CI:0.75-0.89)。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)阳性患者的曲线下面积(AUC)为0.804(95%CI:0.71-0.89),阴性患者的AUC为0.863(95%CI:0.76-0.95)。在早期预警评分中,NEWS2具有最佳的预测能力,即使将其单独应用于SARS-CoV-2检测呈阳性和阴性的患者时也是如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5aee/8001393/bcd68d3a1b99/jpm-11-00170-g001.jpg

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