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对八种不同的模型进行外部验证,以预测重症监护病房中败血症死亡率
Satyen Hargovan1, Charlotte Simpson2, Sayonne Sivalingam3
1Department of Medicine, Cairns Hospital and Hinterland Health Service, Cairns, Queensland, Australia; Adjunct Lecturer in Medicine, College of Medicine and Dentistry, James Cook University, Queensland, Australia.
Journal of critical care
|July 10, 2025
概括
对于常规数据收集和外部验证,评估了败血症死亡率预测模型. 特定于败血症的CSM-4模型在ICU入院后的早期表现最好,而ANZROD 24等一般模型在24小时内有效.
科学领域:
- 关键护理医学 关键护理医学
- 临床流行病学临床流行病学
- 医疗信息学 医疗信息学
背景情况:
- 败血症是一种危及生命的疾病,其特点是由于感染引起的器官功能障碍.
- 现有的败血症死亡率预测模型可能无法完全捕捉该综合征的复杂性.
- 在重症监护室 (ICU) 中为这些模型收集常规数据通常是可变的.
研究的目的:
- 评估八个ICU死亡预测模型中常规数据收集的变量程度.
- 为了外部验证这些八种毒症患者的死亡率预测模型.
- 确定适用于不同败血症死亡率预测模型的最佳时间.
主要方法:
- 对750名在ICU出院时最终诊断为败血症的患者进行了回顾性队列研究.
- 使用接受器操作曲线下的面积 (AUROC) 对30天死亡率的死亡率预测模型的评估.
- 在ICU入院后的不同时间点对毒症特异性 (CSM-4) 和一般性 (ANZROD 24) 模型进行比较.
主要成果:
- 在入院后4小时,CSM-4模型在ICU死亡率预测方面实现了0.80的AUROC.
- 在入院后24小时,ANZROD 24模型表现出最佳性能,AUROC为0.83.
- 与其他模型相比,CSM-4使用的常规护理中经常使用的变量较少.
结论:
- 最佳的败血症死亡率预测模型取决于从ICU入院以来的时间.
- 在ICU住院的早期 (4小时),败血症特异的CSM-4模型显示出略高的预测性能.
- 晚些时候在ICU住院 (24小时),像ANZROD 24这样的一般模型可以有效地预测败血症死亡率.
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