The National Early Warning Score predicts mortality in hospital ward patients with deviating vital signs: A retrospective medical record review study.
The National Early Warning Score predicts mortality in hospital ward patients with deviating vital signs: A retrospective medical record review study.
复制标题
国家早期预警评分可预测生命体征异常的医院病房患者的死亡率：一项回顾性病历审查研究。
DOI：
10.1111/jocn.14728
复制
发表时间：
2019
影响因子：
4.2
通讯作者：
K. Samuelson
中科院分区：
文献类型：
--
作者：
M. Spångfors;Gitte Bunkenborg;M. Molt;K. Samuelson
宗旨和目标
评价用于医院病房患者评估的量表是否可以预测生命体征偏离患者的院内死亡率和30天死亡率;即，与低风险患者相比，被归类为中风险或高风险的患者的院内死亡率和30天死亡率风险增加。
背景
国家预警评分（NEWS）是一种广泛采用的评估偏离生命体征的量表。NEWS附带的临床风险量表将危重疾病的风险分为三个风险类别，低，中和高。
设计
生命体征数据的回顾性分析。
方法
使用年龄校正的住院死亡率和30天死亡率的Logistic回归模型对1，107例生命体征偏离的患者进行分析。
结果
与低风险患者相比，NEWS分类为中风险或高风险的患者的院内死亡几率分别增加2.11或3.40（95% CI：1.27-3.51，p = 0.004%和95% CI：1.90-6.01，p < 0.001）。此外，NEWS中度或高度风险患者的30天死亡率比值分别增加1.98或3.19（95% CI：1.32-2.97，p = 0.001%和95% CI：1.97-5.18，p < 0.001）。
结论
NEWS风险分类似乎是医院病房患者死亡率的可靠预测因素。
与临床实践的相关性
NEWS风险分类提供了一种简单的方法来识别病情恶化的患者，并可以帮助医护人员在患者中进行优先排序。
AIMS AND OBJECTIVES
To evaluate whether the scale used for assessment of hospital ward patients could predict in-hospital and 30-day mortality amongst those with deviating vital signs; that is, that patients classified as medium or high risk would have increased risk of in-hospital and 30-day mortality compared to patients with low risk.
BACKGROUND
The National Early Warning Score (NEWS) is a widely adopted scale for assessing deviating vital signs. A clinical risk scale that comes with the NEWS divides the risk for critical illness into three risk categories, low, medium and high.
DESIGN
Retrospective analysis of vital sign data.
METHODS
Logistic regression models for age-adjusted in-hospital and 30-day mortality were used for analyses of 1,107 patients with deviating vital signs.
RESULTS
Patients classified as medium or high risk by NEWS experienced a 2.11 or 3.40 increase, respectively, in odds of in-hospital death (95% CI: 1.27-3.51, p = 0.004% and 95% CI: 1.90-6.01, p < 0.001) compared to low-risk patients. Moreover, those with NEWS medium or high risk were associated with a 1.98 or 3.19 increase, respectively, in odds of 30-day mortality (95% CI: 1.32-2.97, p = 0.001% and 95% CI: 1.97-5.18, p < 0.001).
CONCLUSION
The NEWS risk classification seems to be a reliable predictor of mortality on patients in hospital wards.
RELEVANCE TO CLINICAL PRACTICE
The NEWS risk classification offers a simple way to identify deteriorating patients and can aid the healthcare staff to prioritise amongst patients.