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形态动力学 ploidy 预测模型风险评分与流产和活产之间的关联:一个多中心队列研究

Thomas Bamford¹, Rachel Smith², Christina Easter³

¹Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom, CARE Fertility Manchester, Manchester, Greater Manchester, United Kingdom; CARE Fertility Headquarters, Nottingham, United kingdom.

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|June 12, 2023

概括

PREFER模型准确地预测流产和活产率,但仅使用形态动力学 (MK) 数据的版本,PREFER-MK,对于排名胚胎更好. PREFER-MK与活产成功相关,但与流产风险无关.

科学领域:

生殖医学生殖医学
胚胎学胚胎学
遗传学遗传学是一个

背景情况:

预测胚胎性状态对于成功的体外受精 (IVF) 是至关重要的.
形态动力学 (MK) 参数为胚胎发育和潜在的染色体异常提供了洞察力.

研究的目的:

评估"在生殖医学中预测胚胎状体质" (PREFER) 模型的状体质风险得分与流产和活产结果的相关性.
为了比较完整的PREFER模型的性能与仅有形态动力学版本 (PREFER-MK).

主要方法:

一项多中心队列研究,涉及来自英国试管婴儿诊所的3587个新鲜单个胚胎移植 (2016-2019).
使用了两个模型:PREFER (形态动力学和临床数据) 和PREFER-MK (仅用形态动力学数据).
胚胎被分为"高风险"",中等风险"和"低风险"的胚胎.

主要成果:

在风险类别中,PREFER模型显示了与流产和活产率的显著关联.
PREFER-MK与活产率有明显的关联,从"高风险"的38%增加到"低风险"胚胎的50%.
PREFER-MK与流产风险没有显著关联,但与"高风险"胚胎相比",低风险"胚胎导致活产的可能性几乎是"高风险"胚胎的两倍.

结论:

PREFER模型的风险分数与生殖结果有很大关系.
只有形态动力学模型 (PREFER-MK) 是首选用于胚胎选择的,因为它有效地对胚胎进行了对活产潜力的排名.
在改善活产率方面,PREFER-MK显示出有前途,但与流产风险没有强烈关联.

关键词:

形态动力学形态动力学人工智能的人工智能是人工智能.模型模型模型模型模型模型普洛伊迪 (Ploidy) 是一个平的人.

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