预测卵巢反应:走向决定性模型和对实践的影响.
Philippe Arvis1, Catherine Rongières2, Olivier Pirrello2
1Department of Obstetrics and Gynecology, Clinique La Sagesse, Rennes, France. dr-arvis@wanadoo.fr.
Journal of assisted reproduction and genetics
|November 3, 2023
概括
在辅助生殖技术 (ART) 中改善卵巢反应的预测模型至关重要. 之前的刺激反应,抗穆勒尔激素 (AMH) 和二毛囊数 (AFC) 是卵细胞产量和周期取消的关键预测因素.
科学领域:
- 生殖内分泌学和不孕不育问题
- 临床研究中的生物统计学
- 辅助生殖技术 (ART) 的结果
背景情况:
- 准确预测卵巢反应对于优化ART成功率至关重要.
- 现有的模型往往缺乏指导有效临床决策所需的精度.
- 识别可靠的预测因素可以改善患者咨询和治疗方案.
研究的目的:
- 为了提高卵巢反应在ART的预测模型的可靠性.
- 为了确定卵细胞产量和周期取消的最重要的预测因素.
- 开发一个更准确的模型来预测ART结果.
主要方法:
- 一个多中心的回顾性队列研究,涉及25854个受控的卵巢刺激在12个生殖中心.
- 利用零膨胀的二项式负模型来分析周期取消和卵细胞检索的预测因素.
- 评估了抗米勒尔激素 (AMH) 和毛囊数 (AFC) 的非线性影响,并根据年龄,BMI和中心进行调整.
主要成果:
- 以前的卵巢刺激反应是最强的预测因素,其次是AMH和AFC,它们具有非线性效应.
- 开发的模型实现了高的确定系数 (R2=0.505对于未经试验的女性) 并显示出显著的中心间变异性.
- 周期取消和卵细胞数量的预测因子不同,这凸显了单独建模的重要性.
结论:
- 通过模拟取消决策和卵细胞检索,可以实现对卵巢反应预测的实质性改善.
- 该模型结合了先前的刺激史和AMH和AFC的非线性效应,以提高准确性.
- 这种方法为预测ART结果和指导临床管理提供了更精确的工具.
关键词:
在 AFC AFC AFC AFC AFC AFC AFC AFC AFC AFC AFC在AMH中,AMH就是AMH.艺术 艺术 艺术 艺术卵巢储备测试试验 卵巢储备测试预测模型的预测模型.更多相关视频
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