对依赖年龄的卵细胞质量和数量进行全面的数学建模,以预测活产率
Toshio Sujino1, Tatsuyuki Ogawa1, Akira Komiya1,2
1Department of Reproductive Medicine, Kameda IVF Clinic Makuhari, Chiba-shi, Chiba, Japan.
Frontiers in endocrinology
|June 24, 2025
概括
一个新的数学模型准确地根据卵细胞质量和数量的年龄相关变化预测活产率. 该工具有助于在辅助生殖技术和生育治疗方面的决策.
科学领域:
- 生殖医学 生殖医学
- 生物统计学 生物统计学
- 在体外受精 (IVF)
背景情况:
- 与年龄相关的生育能力下降是一个公认的现象.
- 缺乏对卵细胞质量和数量随年龄变化的定量评估.
- 预测性数学模型对于辅助生殖技术 (ART) 决策至关重要.
研究的目的:
- 开发一种用于预测活产率的数学模型.
- 量化评估与年龄相关的卵细胞质量和数量的变化.
- 为了支持ART的临床决策.
主要方法:
- 使用8年的试管婴儿数据进行回顾性队列研究.
- 权重非线性最小平方回归用于建模与年龄相关的卵细胞变化.
- 后勤回归来分析每次单个玻璃化加热胚胎细胞移植 (SVBT) 和卵细胞采集的活产率.
主要成果:
- 模型表现出高的适配精度 (调整后的R平方>0.9).
- 40岁时卵细胞质量下降了一半;卵细胞数量分布成功建模.
- 预测模型对每次卵细胞采集的活产率实现了76.4%的准确性 (AUC 0.84).
结论:
- 成功开发了依赖年龄的卵细胞质量和数量的数学模型.
- 综合模型形成了一个对活产率的预测工具.
- 为ART的生殖决策提供了有价值的见解.
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