在GnRH对手协议新鲜试管婴儿/ICSI周期中基于诺莫格拉姆的活产预测
Yanyu Zhong1, Qian Kang1, Xin Pang1
1Department of Reproductive Medicine Center, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, People's Republic of China.
International journal of women's health
|November 11, 2025
概括
这项研究确定了在辅助生殖技术的淋巴激素释放激素对抗剂周期中预测活产率的关键因素. 开发的评分表有助于个性化生育治疗和优化结果.
科学领域:
- 生殖内分泌学 生殖内分泌学
- 辅助生殖技术 (ART) 是一种辅助生殖技术.
背景情况:
- 低生育率影响着相当一部分人口,需要有效的辅助生殖技术.
- 激素释放激素 (GnRH) 对抗剂协议在体外受精 (IVF) 中被广泛使用,以防止过早的黄素激素激增.
- 准确预测活产概率对于患者咨询和治疗个性化至关重要.
研究的目的:
- 在基于GnRH抗剂的试管婴儿周期中确定活产的最佳预后指标.
- 开发一个实际的预测框架来估计活产概率.
- 加强辅助生殖的个性化治疗规划.
主要方法:
- 使用GnRH对抗剂协议进行新鲜的试管婴儿/胚胎移植 (ET) 周期的观察性队列分析.
- 多变量回归建模以确定活产率的关键预测变量.
- 使用ROC-AUC指标和决策曲线分析验证预测模型.
主要成果:
- 开发了一个结合六个临床参数的预测算法:排卵后第九天的血清孕激素 (OPU+9),转移的胚胎数量,孕激素-毛囊比率 (PFR),触发日孕激素,孕激素与毛囊总比率和肌素.
- 该模型在培训队列中显示出中度的区分能力 (ROC-AUC 0.72) 和在验证样本中提高性能 (AUC 0.81).
- 通过决策曲线评估证实了临床适用性.
结论:
- 创建了一个预后得分图来估计基于GnRH抗剂的IVF/ICSI周期中的生殖成功.
- 该工具为临床决策提供了一种可访问和实用的方法.
- 该框架有助于优化治疗策略和生育护理资源配置.
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