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建模牙损失的时间变化的风险因素:联合模型的结果与扩展的考克斯回归模型相比
Aya A Mitani1, Xinyang Feng1, Elizabeth K Kaye2
1Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Journal of clinical periodontology
|October 17, 2023
概括
联合模型 (JM) 有效地估计了牙损失风险的时间变化的牙周生物标志物,如探测口袋深度. 这项研究突出了JM的重点.
科学领域:
- 口腔健康研究 口腔健康研究
- 生物统计学 生物统计学
- 纵向数据分析的数据分析.
背景情况:
- 牙损失是牙科研究的一个重要结果.
- 随时间变化的牙周生物标志物影响牙损失风险.
- 传统模型可能无法完全捕捉复杂的关系.
研究的目的:
- 展示用于分析纵向和生存数据的联合模型 (JMs).
- 用时间变化的牙周生物标志物估计牙损失的风险因素.
- 将JM结果与扩展的考克斯回归模型进行比较.
主要方法:
- 利用了退伍军人事务牙科长度研究 (30年以上的随访) 的数据.
- 采用了结合模型 (JMs),其中包括时间变化的生物标志物:探测口袋深度 (PPD),气泡骨损失 (ABL) 和移动性 (MOB).
- 将JM结果与扩展的考克斯回归模型进行比较,假设异源的时间变化的协变量.
主要成果:
- 探测口袋深度 (PPD) 成为牙损失的关键风险因素.
- JM分析表明,每增加1毫米的PPD,牙损失的危险增加4.57倍.
- 扩展的考克斯模型显示,对于相同的PPD增加,危险增加了1.60倍.
结论:
- 联合模型 (JM) 提供了一种可靠的方法,用于纳入随时间变化的牙周生物标志物,以评估牙损失危险.
- 与传统模型相比,JM提供了更全面的风险估计.
- 提供R代码和示例数据,以促进JM在口腔健康研究中的实施.
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