早期预警评分系统的预测准确性,用于检测门诊环境中的重症患者
Jun Ehara1,2,3, Sachiko Ohde2, Eiji Hiraoka1
1Department of Internal Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Japan.
Internal medicine (Tokyo, Japan)
|March 4, 2026
概括
国家早期预警分数 (NEWS) 在识别重症门诊患者方面比Visensia分数指数 (VSI) 更有效. 这项研究发现,NEWS在预测住院和重症监护室入院的情况方面优越.
科学领域:
- 关键护理医学 关键护理医学
- 医疗保健服务研究 医疗服务研究
- 临床决策支持 临床决策支持
背景情况:
- 缺乏系统的方法来对重症门诊患者进行分组.
- 以前的研究表明,国家早期预警分数 (NEWS) 预测门诊入院和重症监护室转移.
- 维森西亚分数指数 (VSI) 是一个基于人工智能的系统,分析床边监视器数据.
研究的目的:
- 为了比较NEWS和VSI的预测准确度,在门诊机构中识别潜在的危急病患者.
- 在现实临床环境中评估两个早期预警分数的性能.
主要方法:
- 一个单一中心的回顾性队列研究在日本.
- 包括3301名首次访问内科门诊患者.
- 收集有关人口统计,生理测量,新闻,VSI,处置和结果的数据.
主要成果:
- 与VSI相比,NEWS在入院 (0.71比0.66,p=0.03) 和ICU入院 (1.00比0.97,p<0.01) 的曲线下面面积 (AUC) 显著优越.
- 新闻在预测一般病房,高依赖单位 (HDU) 和重症监护室入院方面表现更好.
结论:
- 国家早期预警分数 (NEWS) 在预测外科患者队列中的危急疾病方面超过了Visensia分数指数 (VSI).
- 新闻是一个更有效的工具,用于早期检测和高风险门诊患者的分组.
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