分析无呼吸器日的最佳方法是什么? 一个模拟研究研究
Laurent Renard Triché1,2,3, Matthieu Jabaudon4,5, Nicolas Molinari6
1Department of Perioperative Medicine, CHU Clermont-Ferrand, 58 rue Montalembert, 63 003, Clermont-Ferrand, France. lrenard--triche@chu-clermontferrand.fr.
Critical care (London, England)
|June 19, 2025
概括
建议使用多状态模型来分析无呼吸器日 (VFD),其性能优于其他统计方法. 这种方法为重症监护研究结果提供了更容易解释的效果大小.
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
- 临床试验方法论 临床试验方法论
背景情况:
- 无呼吸器日 (VFD) 是重症监护的关键综合结果,评估生存率和机械通风持续时间.
- 目前用于分析VFD的统计方法是不一致的,导致各种研究解释.
- 新兴的方法,如多状态模型和胜利比率,需要对最佳应用进行评估.
研究的目的:
- 评估和比较各种统计模型来分析无呼吸器日 (VFDs).
- 确定在重症监护研究中用于VFD分析的最强大和最可靠的统计方法.
主要方法:
- 模拟了16个数据集 (每组300个人),比较了具有不同生存和通风参数的对照和干预组.
- 应用了12种统计方法,包括基于计数,时间到事件,多状态和胜利比率模型.
- 使用四个现实世界临床试验数据集验证模型,并进行敏感性分析.
主要成果:
- 大多数方法控制了I型错误,但零膨胀/障碍波桑/负二项式和因果特定的考克斯模型显示出问题.
- 时间到事件的方法,曼-惠特尼测试,比例赔率模型和胜利比率表现出优越的力量.
- 多州模型,曼-惠特尼测试,比例赔率模型和胜利比率在真实数据集中显示出显著的关联.
结论:
- 建议使用多状态模型作为分析VFD的最佳方法.
- 与比例赔率和胜利比率模型相比,它表现出优异的性能,并提供了更易于解释的效果大小.
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