超越无呼吸器的日子:对几项估计进行了审查
Laurent Renard Triché1,2,3, Matthieu Jabaudon4,5, Sylvie Chevret6,7
1Department of Perioperative Medicine, CHU Clermont-Ferrand, 58 rue Montalembert, Clermont-Ferrand, 63 000, France. lrenardtriche@chu-clermontferrand.fr.
Critical care (London, England)
|August 5, 2025
概括
选择正确的统计模型来分析无呼吸器日 (VFDs) 对于重症监护研究至关重要. 本综述探讨了各种时间到事件模型,以确保针对特定研究问题的适当分析.
科学领域:
- 关键护理医学 关键护理医学
- 生物统计学 生物统计学
- 临床试验的设计.
背景情况:
- 死亡率是一个关键的临床终点,但需要大样本大小.
- 复合结果,如无呼吸器日 (VFDs),结合了生存和通风持续时间.
- 对VFD的不同统计方法产生不同的估计值.
研究的目的:
- 审查和探索各种时间到事件模型用于分析VFD的适用性.
- 根据研究目标指导选择合适的统计方法.
- 为了应对来自不同VFD分析方法的不同估值的挑战.
主要方法:
- 竞争风险方法 (精细灰色模型) 侧重于初始输出管.
- 所有过渡的多状态模型 (多事件和反复事件框架).
- 从无白血病生存率调整的无通风生存率估计.
- 混合治愈模型区分已故和被抽管的人口.
主要成果:
- 每个模型都为VFD提供了独特的视角,解决了患者康复和生存的不同方面.
- 竞争的风险和多状态模型处理特定事件类型 (初始输出管,再输入管).
- 混合治愈模型提供了对生存和输出管的时间的洞察.
结论:
- 选择VFD的统计模型取决于重症监护的具体研究目标.
- 在研究开始之前,定义估计值和选择最合适的分析模型至关重要.
- 没有单一的模型是普遍适用的;为准确的解释,需要量身定制的方法.
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