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在 GnRH 抗剂协议中,用于高卵巢反应的预测模型

Yilin Jiang^1,2, Chenchen Cui², Jiayu Guo^1,2

¹Reproductive Medical Center, Zhengzhou University People's Hospital, Zhengzhou, China.

Frontiers in endocrinology

|December 4, 2023

概括

这项研究开发了一个高卵巢响应 (HOR) 的预测模型,用于GnRH抗剂协议. 该模型准确地识别了风险因素,帮助临床医生在体外受精 (IVF) 治疗前预测HOR.

科学领域:

生殖内分泌学和不孕不育问题
在体外受精 (IVF) 协议.
临床预测建模临床预测建模

背景情况:

较高的卵巢反应 (HOR) 可以导致IVF周期的并发症.
准确预测HOR对于优化治疗策略至关重要.
在辅助生殖技术中,GnRH抗剂协议被广泛使用.

研究的目的:

建立和验证一个高卵巢响应 (HOR) 的预测模型,用于接受试管婴儿的GnRH抗剂方案的患者.
确定与HOR相关的关键临床和生化因素.
为临床医生提供一个工具,在开始治疗之前评估HOR风险.

主要方法:

使用GnRH抗剂协议进行4160次试管婴儿周期的回顾性分析.
数据分为培训 (n=3121) 和验证 (n=1039) 队列.
逻辑回归分析用于识别风险因素;名图构造;AUC,校准和决策曲线分析用于模型验证.

主要成果:

年龄,BMI,FSH,AFC和AMH被确定为HOR的独立风险因素 (P<0.05).
开发的预测模型在培训和验证队列中表现出强的性能,AUC为0.884.
该模型有效地预测了高卵巢反应的概率.

结论:

已建立的预测模型准确地识别了GnRH抗剂协议中HOR风险的患者.
这种工具使临床医生能够预测HOR并相应地定制IVF治疗策略.
该模型的验证支持其在试管婴儿患者临床决策中的实用性.

关键词:

这是一个GnRH抗剂协议.有控制的卵巢刺激.高水平的卵巢反应.这个名字是名ogramogram.预测模型预测模型

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