预测COVID-19患者的死亡率 进入急诊室 使用波兰的早期预警得分
Patryk Rzońca1, Sławomir Butkiewicz2, Paula Dobosz3
1Department of Human Anatomy, Faculty of Health Sciences, Medical University of Warsaw, 02-091 Warsaw, Poland.
Healthcare (Basel, Switzerland)
|March 28, 2024
概括
快速紧急医疗评分 (REMS) 准确预测COVID-19患者的住院死亡率. 这种早期预警得分可以改善急诊室的评估和患者护理.
科学领域:
- 紧急医疗 紧急医疗
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
背景情况:
- COVID-19呈现出各种症状,通常模仿流感或感冒等常见疾病.
- 有效的早期检测和患者监测对于管理COVID-19至关重要,特别是在流行病高峰期.
- 识别患有严重结局风险的患者对于及时干预至关重要.
研究的目的:
- 评估和比较常见早期预警分数 (EWS) 在预测COVID-19患者在急诊室入院时的住院死亡率方面的有效性.
- 为了确定这个患者群体中风险分层的最准确的EWS.
主要方法:
- 在2020年3月至2022年4月期间,被诊断患有SARS-CoV-2感染的患者被送往急诊室的回顾性分析.
- 使用接收器运行特征 (ROC) 曲线分析评估各种EWS的预测值.
- 在不同的评分系统中比较精度,区分能力和负预测值 (NPV).
主要成果:
- 这项研究包括了59岁的患者,其中52.33%是男性.
- 快速紧急医疗评分 (REMS) 在所有评估的EWS中显示出最高的准确性 (AUC 0.84 [0.83-0.85]) 和最高的NPV (97.4%).
- 与其他评估的评分系统相比,REMS表现出更高的区分能力和负预测价值.
结论:
- 雷姆斯是预测COVID-19患者出现在急诊室的住院死亡率的最准确的评分系统.
- 将REMS整合到临床实践中可以提高死亡率评估,并可能防止医疗援助的延迟.
- 利用像REMS这样的验证的早期预警分数可以优化资源配置,并改善紧急情况下的患者结果.
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