低肥:统计定义和临床相关性
Alexander Fiore1, Marco Reschini1, Alessio Paffoni2
1Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Manfredo Fanti, 6, Milan, 20122, Italy.
Journal of assisted reproduction and genetics
|October 15, 2025
概括
一个新的统计指标,低受精率,识别了一种罕见的临床疾病,导致受精率下降. 这一指标有助于区分病理原因与生育治疗的统计变异性.
科学领域:
- 生殖医学 生殖医学
- 生物统计学 生物统计学
- 不孕症研究 不孕症研究
背景情况:
- 降低受精率给患者和胚胎学家带来了重大挑战.
- 区分病理原因与受精的统计变异性对于有效治疗至关重要.
研究的目的:
- 开发和验证一个统计指标,Low FERTILIZATION,以识别导致受精减少的独特病理实体.
- 评估在现实人口中低肥的频率,预测因素和复发风险.
主要方法:
- 使用基于二项式分布的统计模型,将低肥定义为在零假设下<5%的预期概率的结果.
- 该模型结合了基于伊斯坦布尔共识基准和缺乏潜在临床条件的恒定受精概率 (P) 的假设.
- 该指标应用于2653名接受生育治疗的妇女的现实数据.
主要成果:
- 在4.5%的周期中观察到低受精,与cIVF (3.6%) 相比,ICSI (5.2%) 的发病率更高.
- 在ICSI周期中,严重的男性因子不孕与低受精率显著相关 (aOR=2.60).
- 低受精的复发风险较高 (aOR=3.70),特别是在两个周期的ICSI (aOR=7.26) 之后.
结论:
- 低受精度指标成功识别了一种罕见但与受精减少相关的独特临床状况.
- 这一指标是未来研究导致这种情况的因素的宝贵工具.
- 这些发现强调了统计评估在理解和管理减少受精结果方面的重要性.
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