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国家早期预警评分-乳酸水平对普通急诊科患者死亡率及重症监护需求的预测价值。

Predictive value of the National Early Warning Score-Lactate for mortality and the need for critical care among general emergency department patients.

作者信息

Jo Sion, Yoon Jaechol, Lee Jae Baek, Jin Youngho, Jeong Taeoh, Park Boyoung

机构信息

Department of Emergency Medicine, Research Institute of Clinical Medicine of Chonbuk National University and Biomedical Research Institute of Chonbuk National University Hospital, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54907.

Department of Emergency Medicine, Research Institute of Clinical Medicine of Chonbuk National University and Biomedical Research Institute of Chonbuk National University Hospital, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54907.

出版信息

J Crit Care. 2016 Dec;36:60-68. doi: 10.1016/j.jcrc.2016.06.016. Epub 2016 Jun 29.

Abstract

STUDY OBJECTIVES

What is the predictive value of the National Early Warning Score-Lactate (NEWS-L) score for mortality and the need for critical care in general emergency department (ED) patients?

METHODS

In this retrospective cohort study, we enrolled all adult patients who visited the ED of an urban academic tertiary-care university hospital in South Korea over 2 consecutive months. The primary outcome was 2-day mortality. The secondary outcomes were the need for critical care (advanced airway use, vasopressor or inotropic agent use, intensive care unit admission) during an ED stay; 2-day composite outcome (2-day mortality and the need for critical care); 7-day mortality; and in-hospital mortality.

RESULTS

During the study period, 4624 adult patients visited the ED. Of these, 87 (1.9%) died within 2 days. In total, 481 patients (10.4%) required critical care during their ED stay. The 2-day composite outcome, 7-day mortality, and in-hospital mortality were 10.9% (503/4624), 2.5% (116/4624), and 3.9% (182/4624), respectively. The NEWS-L demonstrated excellent predictive value for 2-day mortality with an area under the receiver operating characteristic curve (AUROC) of 0.96 (95% confidence interval [CI], 0.94-0.98); this value was better than that of the NEWS alone (AUROC 0.94 [95% CI, 0.91-0.96], P=.002). The AUROC of the NEWS-L for the need for critical care was 0.83 (95% CI, 0.81-0.85); for the 2-day composite outcome, it was 0.84 (95% CI, 0.82-0.86); for 7-day mortality, it was 0.94 (95% CI, 0.92-0.96); and for in-hospital mortality, it was 0.87 (95% CI, 0.85-0.90). Logistic regression results confirmed that the ratio of the NEWS to the initial lactate level was 1:1. Similar results were obtained in the subgroup analyses (disease-infection, disease-vascular and heart, disease-others, and nondisease). The high-risk NEWS-L group (NEWS-L≥7, 9.4% of all patients) had an adjusted odds ratio of 28.67 (12.66-64.92) for 2-day mortality in the logistic regression model adjusted for basic characteristics.

CONCLUSION

The NEWS-L can provide excellent discriminant value for predicting 2-day mortality in general ED patients, and it has the best discriminant value regarding the need for critical care and composite outcomes. The NEWS-L may be helpful in the early identification of at-risk general ED patients.

摘要

研究目的

国家早期预警评分 - 乳酸(NEWS - L)评分对普通急诊科(ED)患者的死亡率及重症监护需求的预测价值如何?

方法

在这项回顾性队列研究中,我们纳入了连续两个月内在韩国一家城市学术型三级护理大学医院急诊科就诊的所有成年患者。主要结局是2天死亡率。次要结局包括急诊留观期间的重症监护需求(使用高级气道、血管加压药或正性肌力药物、入住重症监护病房);2天综合结局(2天死亡率和重症监护需求);7天死亡率;以及院内死亡率。

结果

在研究期间,4624名成年患者就诊于急诊科。其中,87例(1.9%)在2天内死亡。共有481例患者(10.4%)在急诊留观期间需要重症监护。2天综合结局、7天死亡率和院内死亡率分别为10.9%(503/4624)、2.5%(116/4624)和3.9%(182/4624)。NEWS - L对2天死亡率显示出优异的预测价值,受试者工作特征曲线下面积(AUROC)为0.96(95%置信区间[CI],0.94 - 0.98);该值优于单独的NEWS(AUROC 0.94[95%CI,0.91 - 0.96],P = 0.002)。NEWS - L对重症监护需求的AUROC为0.83(95%CI,0.81 - 0.85);对2天综合结局的AUROC为0.84(95%CI,0.82 - 0.86);对7天死亡率的AUROC为0.94(95%CI,0.92 - 0.96);对院内死亡率的AUROC为0.87(95%CI,0.85 - 0.90)。逻辑回归结果证实,NEWS与初始乳酸水平的比值为1:1。在亚组分析(疾病 - 感染、疾病 - 血管和心脏、疾病 - 其他以及非疾病)中也获得了类似结果。在根据基本特征进行调整的逻辑回归模型中,高风险NEWS - L组(NEWS - L≥7,占所有患者的9.4%)2天死亡率的调整优势比为28.67(12.66 - 64.92)。

结论

NEWS - L可为预测普通急诊科患者的2天死亡率提供优异的判别价值,并且在重症监护需求和综合结局方面具有最佳判别价值。NEWS - L可能有助于早期识别普通急诊科的高危患者。

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