评估临床决策工具,用于预测2019年新冠肺炎患者的重症监护病房入院情况
Journal of emergency nursing
|August 18, 2025
概括
国家早期预警分数2 (NEWS2) 是预测COVID-19患者进入重症监护室 (ICU) 的实用工具. NEWS2表现出强大的排除能力,使其成为流行病期间紧急部门分拣的有价值工具.
科学领域:
- 关键护理医学 关键护理医学
- 传染性疾病 传染性疾病
- 医疗保健服务研究 医疗服务研究
背景情况:
- 临床决策规则对于在COVID-19等流行病期间管理患者流动和资源分配至关重要.
- 开发了几种评分系统,以帮助分拣和重症监护室 (ICU) 的入院决策.
研究的目的:
- 验证和比较三个临床决策规则的预测性表现,用于COVID-19患者的ICU入院.
- 评估国家早期预警评分2 (NEWS2),流行性呼吸道感染紧急系统选 (PRIEST) 评分和美国紧急医生学院 (ACEP) COVID-19严重程度分类.
主要方法:
- 对未接种疫苗的COVID-19患者呈现给急诊室的回顾性队列研究.
- 从2020年3月到2021年6月收集的数据.
- 诊断性能使用接收器运行特征曲线 (AUC) 下的面积,正概率和负概率来评估.
主要成果:
- 这三个分数都显示了ICU入院的良好歧视 (AUC从0.851到0.892不等).
- 在ICU入院的裁决中,ACEP分类具有最高的正概率比率 (3.79).
- NEWS2显示了最低的负概率比率 (0.04),表明优越的排除性能.
结论:
- 在ICU入院的裁决中,ACEP COVID-19严重程度分类是优越的.
- 由于其简单性和广泛使用,NEWS2提供了最佳的排除特性和实用价值.
- 在紧急情况下,NEWS2是预测未接种疫苗的COVID-19患者的ICU入院的宝贵工具.
关键词:
美国急诊医生学院COVID-19严重程度分类美国急诊医生学院的严重程度分类.新冠病毒疾病2019年在重症监护病房的入院.国家早期预警分数2 2流行性呼吸道感染 紧急系统选 流行性呼吸道感染未接种疫苗的人群更多相关视频
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