Xie Xiaohua, Huang Wenlong, Liu Qiongling, Tan Wei, Pan Lu, Wang Lei, Zhang Jian, Wang Yunyun, Zeng Yingchun
Department of Nursing, The Second People's Hospital of Shenzhen, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Department of Nursing, The People's Hospital of Longhua, Shenzhen, China.
BMJ Open. 2018 Dec 14;8(12):e024120. doi: 10.1136/bmjopen-2018-024120.
This study aimed to validate the performance of the Modified Early Warning Score (MEWS) in a Chinese emergency department and to determine the best cut-off value for in-hospital mortality prediction.
A prospective, single-centred observational cohort study.
This study was conducted at a tertiary hospital in South China.
A total of 383 patients aged 18 years or older who presented to the emergency department from 17 May 2017 through 27 September 2017, triaged as category 1, 2 or 3, were enrolled.
The primary outcome was a composite of in-hospital mortality and admission to the intensive care unit. The secondary outcome was using MEWS to predict hospitalised and discharged patients.
A total of 383 patients were included in this study. In-hospital mortality was 13.6% (52/383), and transfer to the intensive care unit was 21.7% (83/383). The area under the receiver operating characteristic curve of MEWS for in-hospital mortality prediction was 0.83 (95% CI 0.786 to 0.881). When predicting in-hospital mortality with the cut-off point defined as 3.5, 158 patients had MEWS >3.5, with a specificity of 66%, a sensitivity of 87%, an accuracy of 69%, a positive predictive value of 28% and a negative predictive value of 97%, respectively.
Our findings support the use of MEWS for in-hospital mortality prediction in patients who were triaged category 1, 2 or 3 in a Chinese emergency department. The cut-off value for in-hospital mortality prediction defined in this study was different from that seen in many other studies.
本研究旨在验证改良早期预警评分(MEWS)在中国急诊科的性能,并确定预测院内死亡率的最佳截断值。
一项前瞻性、单中心观察性队列研究。
本研究在华南地区的一家三级医院进行。
纳入了2017年5月17日至2017年9月27日期间到急诊科就诊、年龄在18岁及以上、分诊为1、2或3类的383例患者。
主要结局是院内死亡率和入住重症监护病房的综合情况。次要结局是使用MEWS预测住院和出院患者。
本研究共纳入383例患者。院内死亡率为13.6%(52/383),转入重症监护病房的比例为21.7%(83/383)。MEWS预测院内死亡率的受试者工作特征曲线下面积为0.83(95%CI 0.786至0.881)。当将截断点定义为3.5来预测院内死亡率时,158例患者的MEWS>3.5,其特异性为66%,敏感性为87%,准确性为69%,阳性预测值为28%,阴性预测值为97%。
我们的研究结果支持在我国急诊科将MEWS用于对分诊为1、2或3类患者的院内死亡率预测。本研究中定义的院内死亡率预测截断值与许多其他研究中所见不同。