基于MIMIC-IV数据库 (2008年至2019年) 的重症患者的输出失败预测器的呼吸器比率
Huan Yang1, Yuenan Ni1, Dong Huang1
1Department of Respiratory and Critical Care Medicine, West China School of Medicine and West China Hospital, Sichuan University, Chengdu, China.
呼吸器比率 (VR) 可以预测危急病患者的输出失败. 1.595的VR值表明死亡率和长时间ICU停留的风险更高.
科学领域:
- 关键护理医学 关键护理医学
- 呼吸系统生理学 呼吸系统生理学
- 临床预测模型临床预测模型
背景情况:
- 呼吸器比率 (VR) 是衡量呼吸机制的一种指标.
- 它对重症患者输出管失败的预测价值尚未得到充分证实.
- 这项研究调查了VR在预测输出管的结果中的作用.
研究的目的:
- 为了评估通风比率 (VR) 作为输出失败的预测指标.
- 评估VR与死亡率和重症监护室 (ICU) 停留时间的关联.
- 将VR的预测性能与其他常见的断奶参数进行比较.
主要方法:
- 来自MIMIC-IV数据库的3569名患者的回顾性分析.
- 多变量逻辑回归用于评估VR4小时前的输出.
- 输出失败和住院死亡率分别是主要和次要结局.
主要成果:
- 输出输出失败率为12.7%.
- 输出失败的独立预测因素包括增加VR,更高的SOFA分数和某些并发症.
- 与快速浅呼吸指数 (0.510) 相比,VR表现出优异的预测性能 (ROC 0.669).
结论:
- 排泄前4小时的呼吸器比率 (VR) 是排泄失败的重要预测指标.
- 升高的VR与增加的死亡率和长时间的ICU停留有关.
- 虚拟现实提供了一种有价值,高性能的工具,用于预测输出管成功,其性能优于快速浅呼吸指数.
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